1
INTERNATIONAL BURCH UNIVERSITY
FACULTY OF ECONOMICS
DEPARTMENT OF MANAGEMENT
I N T ER N A T I O N A L
B U RCH
U N IV E R S IT Y
S
A R A J E V O
SECOND CYCLE MANAGEMENT of INFORMATION TECHNOLOGIES
STUDY PROGRAM SPECIFICATION
(WITHOUT THESIS)
SARAJEVO
August, 2012
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TABLE OF CONTENTS
1. PROGRAM DESCRIPTION ........................................................................................................................................... 3
1. 1.General ................................................................................................................................................................ 3
1.2. Mission ................................................................................................................................................................. 3
1.3. Our Merits and Principles ..................................................................................................................................... 5
1.4. Academic qualification of the staff ........................................................................................................................ 5
1.5. Academic Program .............................................................................................................................................. 6
1.6. Quality Teaching and Learning ............................................................................................................................ 6
1.7. Teaching / Learning methods and strategies ...................................................................................................... 6
1.8. Assessment of teaching ...................................................................................................................................... 7
1.9 Assessment of Students’ Achievements ............................................................................................................... 8
1.10. Job Opportunities .............................................................................................................................................. 9
2. CURRICULUM: MASTER OF MANAGEMENT of INFORMATION TECHNOLOGIES (WITH
THESIS)......................................................................................................................10
3. COURSE DESCRIPTIONS............................................................................................13
3
1. PROGRAM DESCRIPTION
1.1 General
In today's business world, a company's network, including its database system, electronic security and Internet presence, is the
backbone of its success. Management of Information Technologies (MIT) program is particularly designed to educate our
graduates to grow into jobs such as System, Database or Network Administrator within few years. MIT degree program is
meeting point of the business processes of organizations and the information technology utilized in those organizations. MIT
professionals draw on their knowledge of both business and technology to serve their organizations. All organizations need
someone who understands both business management and technology. As the managers of information and technology within
the organization, MIT professionals bring technology and business together to deliver information solutions that help
organizations meet their goals. It is the goal of the MIT concentration to prepare students to the knowledge/information economy
of the 21st century.
1.2 Mission
This program highlights application of information technology in managing in a technically and economically dynamic world. MIT
program is designed to create managers and business-oriented personnel who are able to manage and utilize technology while
implementing changes essential to today's global business environment.
Management of Information Technologies program objectives include:
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developing and enhancing the business, technical and management skills students need to function effectively as IT
managers
enabling students to identify opportunities to use information systems to an organization's strategic and competitive
benefit
providing critical learning tools for application development, operational effectiveness, information asset management
and decision-making
preparing students to analyze and design computer/network-based applications of information technology and manage
IT resources
developing project management skills needed to manage projects and execute project tasks with respect to information
systems
Our Management of Information Technologies program field concentrates on:
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Classes in information technology management, entrepreneurship, and accounting with an emphasis on international
business
Advanced courses in information technology communication, programming, databases, and networking
Project based coursework to train you for the workplace market as manager
Technology optimization for operations and global marketing
Management of information technology projects
Senior project designed to develop entrepreneurial skills by having you create a business, its technology requirements,
and its marketing plan
What You Can Learn
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Effective use of information literacy in the management field
Information technology skills in web design, programming, database, and networking
Application of management theory and practice in decision making, business strategy, and technical solutions relating
to management
Critical thinking and analysis of business factors including operations management, technology, and globalization
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Environmental knowledge and experience necessary to strategically plan
An understanding of global and technological business processes and management leadership
Change management - fundamental to today's business world
The program, taught from a practitioner perspective, focuses on applying IT concepts and skills to real-world situations, enabling
students to understand and evaluate technology applications and alternatives.
Whether your career focuses on keeping your organization's computer network running smoothly, developing new software to
keep systems secure or employing Internet technologies to create new relationships with customers, IBU's Master of Information
Technology Management degree program provides you both the strong business leadership skills and the know-how necessary
to determine and implement your company's goals in computer-related technologies and move your career forward. A Master of
Information Technology Management degree can help you tap into growing opportunities and increased salary potential in this
rapidly expanding field.
Combining knowledge of business functions with expertise in computer hardware, applications software and programming,
information technology managers ensure that computer systems operate effectively. This includes inputting, organizing, storing,
retrieving, manipulating and analyzing data needed for billing, payroll, financial transactions, scheduling, customer service and
more. Specific MIT careers include the following:
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Programmer analysts: Determine business needs and requirements then write programs that fill those needs.
Systems analysts: Identify a company's information systems needs and write specifications for programmers.
Systems and programming managers: Oversee all business application design, development and implementation.
Information systems directors: Oversee all of an organization's computer systems and services.
With our Management of Information Technologies degree, you could qualify for entry level management positions in
diverse areas such as education, manufacturing, or government.
Within the field of information systems are numerous areas of specialization. From information security to wireless
communications to database administration, qualified professionals are in high demand. MIT department offers different courses
in order to prepare students for high-level MIT careers in these rapidly growing fields:
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Information security: Because the integrity of computing environments is of utmost importance, firms increasingly
hire security experts to fill key leadership roles in their information technology departments, protecting vital networks
and infrastructures from attack.
Data administration and management: To remain competitive, firms continue to install sophisticated computer
networks and set up more complex intranets and websites. As a result, data and intelligence systems management
become increasingly complex and critical to a firm's success.
Wireless: As new, innovative gadgets, like PDAs and smart phones, become more widespread and sophisticated, new
wireless technologies emerge, and government regulations and consumer and corporate networks extend their reach,
opportunities for skilled and savvy wireless professionals abound.
Electronic commerce: With the explosive growth of e-commerce and the capacity of the Internet to create new
relationships with customers, the role of electronic commerce specialists will continue to evolve both in career
opportunities and salary potential.
Other fast-growing areas of career specialization within information technology management include project management,
distributed systems management, information systems tools, information systems applications and network management.
1.3 Our Merits and Principles
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Provision of high standard courses and assessments
Being responsive to changing requirements / environments
Recognising, promoting and inspiring excellence
Being fully accountable for ethical and quality standards
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1.4 Academic qualification of staff
Academic staff evolved in the fulfilment of the academic program is expected to have the following patterns:
 Total dedication of staff to the well-functioning of the department organization, which is highly qualified and
supplemented with empirical experiences from important institutions from Bosnia and Herzegovina and abroad.
 The course syllabus with weekly schedule of the lectures will be given by the Course Coordinator at the beginning of
the course.
 Continual improvement of lectures by implementing new methods and gained and improved knowledge.
 Scientific research work, participation at conferences and seminars and writing scientific articles.
1.5 Academic Program
IBU offers a 1-year and 60 ECTS, full time program leading to the Master of Management Information Technologies Degree that
develops managers with an integrated understanding of all business and IT functions. Through a judicious blend of concepts,
tools and skills, the Master of Management and IT curriculum provides an in-depth understanding of the operational and strategic
aspects of management. The program emphasizes on:
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Analytical reasoning, teamwork and effective communication
Experience sharing through guest lectures and seminars by senior executives from the industry
Holistic understanding of various aspects of business
Industry interaction through course projects, seminars and a final Project
1.6 Quality Teaching and Learning
We define good teaching as instruction that leads to effective learning, which in turn means thorough and lasting acquisition of
the knowledge, skills, and values the lecturer or the Department, has set out to impart.
Main principles of our Department concerning the quality teaching and learning are to:
 encourage contact between students and faculty,
 develop reciprocity and cooperation among students,
 encourage active learning,
 give prompt feedback,
 emphasize time on task,
 communicate high expectations, and
 respect diverse talents and ways of learning.
1.7 Teaching/ Learning methods and strategies
Lectures are methods useful for large groups where the lecturer presents factual material in direct and logical manner. It
contains experience which inspires and stimulates thinking to open discussion. Quality lectures need time for the preparation of
necessary introduction and summary, as well as time and content limit. They also include examples and anecdotes to be
effective and interesting.
Lectures with discussion involve students to make question, to clarify and make challenge. This method is limited by time and
requires that questions be prepared prior to discussion.
Case study represents a method where lecturer clearly and dramatically defines the problem and provides an opportunity for
students to assume roles of others and thus appreciate another point of view. Students have possibility to explore solutions and
practice their skills.
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Guest speaker: The intention of some courses is to invite guest speakers which are experts in their field of work or research to
give lecture on one of the relevant topics. This brings change to the course atmosphere and also breaks down audience’s
stereotypes.
Group project provides an opportunity for students to study a real micro or macroeconomic problem, work in a team and
present the results of research in front of the class.
Individual project involves a literature review, problem specification and analysis written up in a report. This enables a student
to practice the application of techniques they have learned as well as put into practice general research skills.
1.8 Assessment of teaching
To asses and evaluate the quality of our teaching and its impact on student learning we use following strategies:
 Teaching dossiers - Factual description of lecturers’ teaching achievements which contains documentation that
collectively suggests the scope and quality of his or her teaching. Dossiers provide an opportunity for Course
Coordinators to articulate their teaching philosophy, review their teaching goals and objectives, assess the
effectiveness of their classroom practice and the strategies they use to animate their pedagogical values, and identify
areas of strength and opportunities for improvement. They also highlight lecturers' range of responsibilities,
accomplishments, and contributions to teaching and learning more generally within the department and university.
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Student ratings are gathered trough mandatory and standardized surveys which are conducted across courses at the
end of each semester. Information obtained by means of student ratings can be used by individuals to improve the
course in future years, and to identify areas of strength and weakness in their teaching.
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Peer observations offer critical insights into a lecturer’s performance, complementing student ratings and other forms
of evaluation to contribute to a fuller and more accurate representation of overall teaching quality. Usually, colleagues
are in the best position to judge specific dimensions of teaching quality, including the goals, content, design and
organization of the course, the methods and materials used in delivery, and evaluation of student work.
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Letters and individual interviews elicit information not readily available through student ratings or other forms of
evaluation. Insights, success stories, and thoughtful analyses are often the outcomes of an interview or request for
written impressions of a lecturer’s teaching. Students, who are reluctant to give information on a rating scale or in
written form, often respond well to a skilled, probing interviewer.
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Classroom assessment involves the use of techniques and instruments designed to give lecturers ongoing feedback
about the effect their teaching is having on the level and quality of student learning; this feedback then informs their
subsequent instructional decisions. There are a variety of instruments for classroom assessment, such as one minute
papers, one-sentence summaries, critical incident questionnaires, focus groups, and mid-year mini surveys
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External Examiners reports are valuable tools for the assessment of teaching effectiveness, because of the objective
approach to the evaluation of teaching methods and techniques, conducted by professionals outside the Department.
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Accreditation Visits beside other things also evaluate teaching and the success of lecturers in achieving learning
outcomes for each course.
1.9 Assessment of Students’ Achievements
The purpose of outcomes-based learning assessment is to improve the quality of learning and teaching in Management
department. The fundamental principles are:
 to choose a method which most effectively assesses the objectives of the unit of study?
 professional judgment is the foundation for assessment
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methods should be aligned with the overall aims of the program, and may include the development of disciplinary skills
(such as critical evaluation or problem solving) and support the development of vocational competencies (such as
particular communication or team skills.)
assessment should be valid, reliable and fair
Assessment process of learning outcomes at the Management department begins with the normal assessment process in the
major courses that are taken by students. Each course defines course outcomes and relates the course outcomes to the learning
outcomes of the Department. Within each category of learning outcomes following methods of assessment are in use:
 Reports and case studies for assessing critical thinking and making judgments
 Group work, work-based problem and case analysis for assessing the ability of solving problems and developing plans
 Internship and practical experience for assessment of performance and demonstration of techniques
 Portfolio and group work for managing and developing oneself
 Research work, project and final thesis for accessing and managing information
 Written examination, short answer questions: True/False/ Multiple Choice Questions (paper-based or computer-aided
assessment) and report for demonstrating knowledge and understanding
 Portfolio, project and presentation for assessment of designing, creating, performing outcomes
 Written and oral presentation, group work, discussion for assessment of communication outcomes
The methods of the assessment are also defined by each course, stated in the curriculum and are conducted during semesters.
1.10 Job opportunities
Earning a Masters of Management of Information Technologies (MIT) can give you the competitive edge in landing a job or
changing careers. MBA students can choose to focus in a variety of areas such as marketing, technology, finance, human
resource, general management and operations management. Each concentration will lead the MBA candidate to an assortment
of careers options that will allow him to supervise employees and manage multiple divisions and processes. An MIT is a great
option for someone looking to advance in his field or change careers paths altogether without having to step backwards before
moving forward.
In this field a candidate would manage computer developers, programmers, maintenance engineers and computer system
analysts. He will also manage technical projects related to software and hardware installation and upgrades, system
implementations and networking issues.
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2. CURRICULUM: MASTER OF MANAGEMENT INFORMATION TECHNOLOGIES (WITH THESIS)
FIRST SEMESTER
CODE
COURSE NAME
THEO.
PRAC.
ECTS
BUS xxx
BUS
xxx
US xxx
xxx xxx
xxx xxx
BUS 599
Elective I
Elective II
Elective III
Elective IV
Graduate Seminar
3
3
3
3
0
12
0
0
0
0
0
0
7,5
7,5
7,5
7,5
0
30
TOTAL
SECOND SEMESTER
CODE
COURSE NAME
THEO.
PRAC.
ECTS
BUS xxx
BUS xxx
xxx xxx
xxx xxx
BUS 550
BUS 5xx
Elective I
Elective II
Elective III
Elective IV
Graduate Project
Special Studies
3
3
3
3
0
1
13
0
0
0
0
0
0
0
7,5
7,5
7,5
7,5
0
0
30
TOTAL
9
CODE
BUS 501
CEN 595
BUS 503
BUS 505
BUS 506
BUS 507
BUS 512
BUS 515
BUS 517
BUS 520
BUS 524
BUS 526
BUS 528
BUS 529
BUS 530
BUS 532
BUS 534
BUS 536
CEN 537
BUS 540
BUS 542
BUS 543
BUS 544
BUS 547
BUS 564
BUS 567
BUS 572
BUS 573
BUS 575
BUS 582
BUS 592
BUS 599
CEN 551
CEN 552
CEN 553
BUS 5xx
ELECTIVES COURSES
Financial Reporting and Analysis
Scientific Research Methods
Advanced Strategic Management
Management and Organizations
Marketing Management
Quantitative Methods in Business
Managerial Finance
Human Resources Development
Statistics
Total Quality Management
International Business
Supply Chain Management
Business Economics
Monetary Theory And Policy
Operations Management
Money and Banking
Current Issues in International Economics
Business Ethics
Knowledge Management
European Economic Integration and Bosnia and Herzegovina
International Marketing
Project Management
Entrepreneurship
Mathematical Programming
Advanced Decision Making
Global Comparative Management
Risk Management in Participation Banking
Special Topics in Management Science
Advanced Cost Accounting
Applied Econometrics
Auditing
Master’s Seminar (Graduate Seminar)
Management Information Systems (MIS)
Data Mining
E-Bus./E-Commerce
Special Studies
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
0
3
3
3
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
7,5
0
7,5
7,5
7,5
0
10
CODE
CEN 511
CEN 554
CEN 555
CEN 559
CEN 561
CEN 563
CEN 565
CEN 566
CEN 582
CEN 590
CEN 591
CEN 592
CEN 593
ELECTIVES COURSES
Web Engineering
XML and Web Services
Special Topics in Database Systems
Machine Learning
Decision Support Systems
Network Programming
Mobile and Wireless Networking
Mobile Programming
Computer and Network Security
Artificial Intelligence
Neural Networks
Pattern Recognition
Evolutionary Computing
3
TTheo.
3
3
3
3
3
3
3
3
3
3
3
3
0
PRAC.
0
0
0
0
0
0
0
0
0
0
0
0
7.5
ECTS
7.5
7.5
7.5
7.5
7.5
7.5
7.5
7.5
7.5
7.5
7.5
7.5
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3. COURSE DESCRIPTIONS
Course Code : BUS 501
Course Title : FINANCIAL REPORTING AND ANALYSIS
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course focuses on the analysis of managers' financial reporting and disclosure strategies,
and the effects of such strategies on firms' equity values and contracts. We will examine various
institutional settings and economic contexts in which managers make financial reporting and
disclosure choices, paying close attention to the quality and credibility of the information
disclosed.
COURSE OBJECTIVES
The course should continue with developing skills of financial statement analysis.
COURSE CONTENTS
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Revenue and Expense Recognition, Complex issues in revenue recognition.
Issues related to Assets.
Accounts receivable, Inventories, Investment property.
Long-lived fixed assets, Intangible assets.
Liabilities and equity.
Deferred expenses, Financing liabilities, Leases, Special purpose entities
Financial derivatives and hedging
Business combinations, Equity-method investments. Intercompany transactions.
Critically analyze the financial statements
Understanding of international financial reporting standards and international
harmonization issues
TEACHING/ASSESSMENT
Description
Teaching Methods
Instruction, discussion, case studies, presentation
Description (%)
Student Assessment
Methods
Project
Midterm exam
Final exam
Learning outcomes
Students will be able to:
 examine the economic and institutional setting for financial reporting,
 understand why accounting choices matter and to whom
 prepare and analyze financial statements.
 to read, use, and interpret the statements and most importantly to understand how and
why managers can utilize the flexibility in GAAP to manipulate the numbers for their own
purposes.
Language of Instruction
English
Textbook(s)
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25%
25%
50%
Financial Reporting and Analysis, by Revsine, Collins and Johnson (Pearson Prentice
Hall, 2008).
Bodie, Kane, and Marcus, Investments, 8th Ed. R.D. McGraw-Hill/Irwin, 2008.
Principles of Corporate Finance, Brealey/ Myers/ Allen, McGraw- Hill.
Stephen H. Penman, Financial Statement Analysis, 10th Ed., McGraw-Hill/Irwin, New
York, 2009.
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Course Code : CEN 595
COURSE TITLE : SCIENTIFIC RESEARCH METHODS
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Scientific Research Methods brings the theory, philosophy and techniques of research to life and
enables students to understand the practical relevance of the research methods. A highly
accessible style, logical structure, numerous examples and useful checklists provide step-by-step
guidance through the entire research process.
COURSE OBJECTIVES
Through a unique blend of practicality and rigour this course provides business and management
students with the knowledge, understanding and skills necessary to complete a successful
research project.
COURSE CONTENTS
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The nature of business and management research
Formulating and clarifying the research topic
Critically reviewing the literature
Understanding research philosophies and approaches
Formulating the research design
Negotiating access and research ethics
Selecting samples
Using secondary data
Collecting primary data using questionnaires
Analysing quantitative data
Analysing qualitative data
Writing and presenting your project report
TEACHING/ASSESSMENT
Description
Teaching Methods
Class discussion, searching library and Internet sources,
preparing assignments, using audio-visual media sources,
preparing a team-project and presenting it.
Description (%)
Student Assessment
Methods
Midterm exam
2 brief assignments
Participation
Final exam
Learning outcomes
Students should be able to:
 Understand both the practical application and underlying philosophy of research
methods in business;
 Learn from worked examples and case studies based on real student research,
illustrating clearly what to do and what not to do in their project;
 Gain rapid understanding and confidence in using the tools and techniques for analysis
to undertake successful research.
Language of Instruction
English
Textbook(s)
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30%
10%
10%
50%
Research Methods for Business Students, Saunders, Lewis, Thornhill, Prentice Hall,
2007
Qualitative Researching, Jenifer Mason, Sage Publications, 1996,,
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Course Code : BUS 503
Course Title : ADVANCED STRATEGIC MANAGEMENT
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course focuses on the study of concepts involved in strategic management. It integrates
three very contemporary themes throughout each chapter globalization, the natural environment,
and technology. Presents concepts for study and skill-building in all the major areas of strategy
formulation, implementation, and evaluation.
COURSE OBJECTIVES
The aim of the course is to provide an engaging look into new and traditional strategic
management topics and develop an understanding of the wide range of theories and research
available in this field, from competitive strategy and industry analysis to environmental trends and
ethics. Also to provide an essential understanding of global economics and its impact on business
activities in any location.
COURSE CONTENTS
 The Fundamentals of Strategic Management , Strategic Management Process
 Macro Environment Analysis, Industrial Analysis
 Main Rival Analysis-The Competitive Profile Matrix - Forecasting Tools and Techniques
 The Resource Based View / The Industrial Organization View - SWOT - BCG Matrix
 Corporate Strategies / Porter's Five Generic Strategies
 Strategy Evaluation / A Special Topic in Strategic Management
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecture, group discussions inside & outside the class, case
analysis, individual and group presentations
Description (%)
Student Assessment
Methods
SM Simulation analysis & presentations
Homework, attendance & discussions
Mid Term Exam
Final Exam
Learning outcomes
At the end of the course the student will be able to:
 explain the strategic management process, stakeholders, corporate mission and vision;
 have a capacity to think strategically about a company, its business position, how it can
gain sustainable competitive advantage, and how its strategy can be implemented and
executed successfully;
 implement various techniques to identify industry opportunities and threats, external and
internal (SWOT) analysis;
 gain experience in crafting business strategy, reasoning carefully about strategic
options, evaluating action alternatives, and making sound strategic decisions;
 be familiar with the managerial tasks associated with implementing and executing
company strategies;
 identify the issues in designing organizational structure, control system, and
implementing strategic change.
Language of Instruction
English
Textbook(s)
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




30%
10%
30%
30%
David Fred R., Strategic Management, 10th Edition, by (Prentice Hall, 2005).
Pearce, Robinson, Strategic Management
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Course Code : BUS 505
Course Title : MANAGEMENT AND ORGANIZATION
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Maintains the four traditional functions of planning, organizing, leading, and controlling, while
modernizing and re-visioning the concepts as delivering strategic value, building a dynamic
organization, mobilizing people, and learning and changing.
COURSE OBJECTIVES
The objectives of the course are to develop an understanding of the theories and concepts of
management, demonstrate the ability to apply management theory and concepts to organizational
problems, develop the basic interpersonal, analytical, critical thinking, teamwork and decision
making skills required of managers, and develop an awareness of current issues and trends in
management.
COURSE CONTENTS
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Managing, Introduction to Clicker
Managing and the Evolution of Management
External Environments and Org Culture
Managerial Decision Making
Planning and Strategic Management
Ethics and Corporate Responsibility , Organizational Agility
Human Resource Management , Personalities of the Workforce
Managing a Diverse Workforce , Leadership and Power
Teamwork, Communication
Managing Control and Data Analysis, Managing Change
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Mid-Term exam
Report
Final Exam
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
Language of Instruction
Textbook(s)
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

30%
30%
40%
Understanding of management practices as planning, organizing, leading and
controlling in a variety of organizational settings.
Understanding of diversity in workplace settings, and its impact on leadership styles,
communication processes, and relational behaviors. Enhance their effectiveness
working with other individuals.
Comprehensive understanding of systems in organizations that facilitate organization
goal achievement as well as individual and group development.
English
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Bateman, Thomas, S., Snell, Scott A. (2009). Management: Leading and Collaborating
in a Competitive World. 8th edition. Boston: McGraw- Hill Irwin.
Stephen R. Robbins & David A. DeCenzo, Fundamentals of Management: Essential
Concepts and Applications (4th Edition)
McManus, J.: Leadership: project and human capital management. Elsevier, 2006
Plunkett, Warren R. and Raymond F. Attner and Gemmy S. Allen, Management:
Meeting and Exceeding Customer Expectations, 9th Edition, South-Western College
Pub; ISBN: 9780324423013
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Course Code : BUS 506
Course Title : MARKETING MANAGEMENT
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course highlights the most recent trends and developments in global marketing-with an
emphasis on the importance of teamwork between marketing and all the other functions of the
business. It introduces new perspectives in successful strategic market planning, and presents
additional company examples of creative, market-focused, and customer-driven action. Coverage
includes a focus on customer relationship management, partner relationship management, the
Internet and its effects and uses, brand building and brand asset management, alternative go-tomarket channels, and marketing around the globe. Chapter topics discuss building customer
satisfaction, market-oriented strategic planning, analyzing consumer markets and buyer behavior,
dealing with the competition, designing pricing strategies and programs, and managing the sales
force.
COURSE OBJECTIVES
To increase the understanding of the major issues of strategic, tactical, and administrative
marketing-along with the opportunities and needs of the marketplace in the years ahead.
COURSE CONTENTS
Defining Marketing for the 21st Century, Developing Marketing Strategies and Plans
Gathering Information and Scanning the Marketing Environment
Conducting Marketing Research and Forecasting Demand
Creating Customer Satisfaction, Value and Loyalty
Analyzing Consumer Markets, Analyzing Business Markets
Identifying Market Segments and Targets
Creating Brand Equity, Crafting the Brand Positioning
Dealing with the Competition, Setting Product Strategy
Designing and Managing Services, Developing Pricing Strategies and Programs
Designing and Managing Value Networks and Channels
Managing Retailing, Wholesaling and Logistics
Designing and Managing Integrated Marketing Communications
Managing Mass Communications, Managing Personal Communications
Introducing New Market Offerings, Tapping into Global Markets, Managing a Holistic Marketing
Organization
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Question-Answer, Discussions, Group Projects
Description (%)
Student Assessment
Methods
Midterm exam
class contribution
Final exam
Learning outcomes
Students will be able to:
 Understand the strategic role of marketing and develop the ability to define and analyze
the marketing problems dealt by managers, and
 Understand analytical concepts and techniques currently being used in marketing.
Language of Instruction
English
Textbook(s)






30%
20%
50%
Marketing Management by Philip Kotler, 12th edition, Prentice Hall, 2006.
Case packet (available at the University Co-op)
Selected additional readings (available electronically through UT Library/Online
Journals) will periodically be assigned during the course.
16
Course Code : BUS 507
COURSE TITLE : MARKETING RESEARCH
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Level : Graduate
Year :
Status : Elective
Course Coordinator :
COURSE DESCRIPTION
The role of marketing research in strategic planning, the research process, problem definition and
research objectives, exploratory designs, descriptive research designs, causal research,
sampling, overview of measurement, attitude scale measurements, questionnaire design, case
study (Questionnaire design 1), case study (Questionnaire design 2), data analysis with SPSS.
COURSE OBJECTIVES
The course aims at providing students with advanced theoretical and practical knowledge about
marketing research. The skills covered in this course are applicable to marketing problems
encountered in both consumer and business-to-business markets, and public and private sectors.
These skills are particularly useful for students who are planning to go into a consulting or
marketing career.
COURSE CONTENTS












The Research Process; Measurement Scales
Questionnaire Design
Basic Data Analysis; Crosstabs
Finding Commonalities Among Variables; Factor Analysis; Using Factor Scores
Predicting Group Membership; Discriminate Analysis
Sampling Issues
Introduction to Conjoint analysis
Variations in Conjoint Analysis
Market Simulation with conjoint analysis
Cluster Analysis
Issues in Causal Research, Issues in Online Research
Pretest Market Models
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecture, Discussion, Research Project
Teaching Methods
Description (%)
Student Assessment
Methods
Midterm exam
Class Participation and Homework
Learning outcomes
Students will be able to:
 formulate and structure marketing problems,
 recommend the marketing research that should be undertaken,
 appreciate what can and cannot be learned from marketing research,
 gather and analyze quantitative marketing data, and make effective decisions based on
those data.
 design and conduct some important analyses.
Language of Instruction
English
Textbook(s)



20%
10%
Student Assessment Methods
Mcdaniel,Gates, Marketing Research Essentials, McGraw-Hill, 2004, ISBN:0-47144845-1
Gilbert A. Churchill and Dawn Iacobucci, Marketing Research: Methodological
Foundations, 9th edition, 2005, Thomson South-Western Publishers
Malhotra, Naresh, (2004), Marketing Research: An Applied Orientation, 4th edition,
Pearson/Prentice Hall.
17
Course Code : BUS 512
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
MANAGERIAL FINANCE
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course provides an in-depth analysis of corporate finance subjects. The course includes
financial statement analysis, the time value of money, risk and return, asset pricing, capital
budgeting, capital structure choices, dividend policy, business financial planning, working capital
management, derivatives, mergers and acquisitions, and other current topics.
COURSE OBJECTIVES
The objective of this course is to further develop a student’s financial management skills, as well
as develop an appreciation of the theories guiding financial management decisions.
COURSE CONTENTS







An Overview of Financial Management and the Financial Environment
Financial Statements, Cash Flow, and Taxes
Analysis of Financial Statements, Time Value of Money
Bonds and Their Valuation, Risk and Rates of Return
Stocks and Their Valuation, The Cost of Capital
The Basics of Capital Budgeting
Cash Flow Estimation and Risk Analysis
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Question-Answer, Discussions, Group Projects
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Midterm exam
Class contribution
Final exam



30%
20%
50%
Students will be able to:
 Determine whether a firm should undertake a project--complex capital budgeting
decisions in conjunction with risk analysis;
 Analyze and evaluate a firm using the free cash flow method;
 Construct pro forma financial statements and determine a firm’s external financing
needs;
 Determine a firm’s optimal capital structure (and understand the theories/concepts
behind the decision)
 Determine a firm’s dividend policy and understand the pros/cons of such a policy;
 Determine whether a firm should lease/buy an asset;
 Understand the legal, regulatory and global aspects of financial management;
 Effectively communicate their ideas in a professional manner;
 Enhance their critical thinking skills and reasoning ability.
English




Financial Management, 12/e, By Eugene F. Brigham and Michael C. Ehrhardt, 2008,
Thomson South - Western; ISBN: 0324224990
Arnold, G., Corporate Financial Management, Pearson, Third Edition, 2005.
Fundamentals of Financial Management, Horne/ Wachowicz, Prentice Hall,2009.
Bob Ryan,Corporate Finance and Valuation, Thomson,2009
18
Course Code : BUS 515
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
HUMAN RESOURCE DEVELOPMENT
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course addresses the entire range of topics that have traditionally been included in an
organization's HRD function such as designing systems of instruction as well as content that
reflects the future of HRD such as job aids and electronic performance support systems. The
course will focus on various aspects of a corporate training and development function, training
program design and development, various methods and media for training delivery, and various
resources available for HRD efforts. Students will analyze an aspect of their organization's HRD
efforts.
COURSE OBJECTIVES
This course is intended for individuals who will "work in" or "periodically work with" training,
organizational or career development in settings such as business and industry, state or federal
government, the military, health care, community universities, international development, and
vocational education.
COURSE CONTENTS









Introduction to HRD as an organizational performance improvement strategy—
Scope of the field
Developing a strategic perspective for HRD
Positioning HRD in the Organization
Theoretical foundations of Practice, and Designing Learning Opportunities for
Performance
Linking Learning and Performance – Managing the process
Trends in Technology Based Learning Systems
The role of lived experience in learning and development—Innovative learning
methodologies
Future Directions
Learning for Performance or Learning for Education?: Alternative Views of the HRD
model
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Question-Answer, Discussions, Group Projects
Description (%)
Student Assessment
Methods
Midterm exam
Attendance and Participation
Final exam
Learning outcomes
Recognize and describe the role and function of the HRD specialist.
List and discuss various needs assessment tools. Examine the use of performance appraisal
systems for promotions, training strategies, and career planning. Differentiate and explain the
various uses of training, education, and career development in the workplace environment.
Examine financial policies related to HRD. Explain career development and its value to individual
and organizational development., Discuss social issues related to HRD. Explore the international
aspects of HRD. Apply appreciative inquiry to an HRD issue.
Language of Instruction
English
Textbook(s)




25%
25%
50%
Werner/ DeSimone,Human Resource Development, South- Western,2009.
19
Course Code : BUS 517
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
STATISTICS FOR BUSINESS
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
The course will be divided into two basic sections: descriptive statistics and inferential statistics.
The first deals with the techniques we use to summarize information in ways that can be readily
understood, convey meaning and allow comparisons that can address questions we are
interested in. The second deals with questions of the generality of descriptions and the
probabilities of various arrangements of observations given specific assumptions about the ways
information is gathered and states of nature that might exist. This course will emphasize the uses
and interpretation of statistics as well as their computation.
COURSE OBJECTIVES
Statistics is used in the social and behavioral sciences to describe the human condition and to
deal with policy questions involving social problems and theoretical questions about human
nature. Properly used, it can help us get a handle on the apparent complexity of human activity;
when misused it can mislead our attempts to deal with the problems we perceive. To avoid being
misled by statistical applications, we need grounding in the fundamental principles, common to all
statistical techniques, and applicable to a wide range of problem areas. We will attempt to focus
on those fundamental principles and how they operate in a variety of contexts.
COURSE CONTENTS











Introduction, Measurement, Frequencies, %s, and Graphs
Central Tendency, Deviation
Association & Correlation
Correlation and Linear Regression
Sampling and Probability
Confidence Intervals & Hypothesis Testing
T tests
One-way ANOVA, Two-way ANOVA
Chi Square
Statistical etc. Practical Significance
Putting it all together
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentation, Homework
A familiarity with algebra and algebraic
notation is expected.
Description (%)
Student Assessment
Methods
Midterm exam
Presentation
Final exam
Learning outcomes
Students will be able to use and compute a statistic as well as to interpret in terms of their
research and data set.
Language of Instruction
English
Textbook(s)






30%
20%
50%
Pyrczak, Fred. 2004. Success at Statistics: A Worktext with Humor 3rd ed. Los Angeles:
Pyrczak Publishing.
Groebner/ Shannon/Fry/Smith,Bussines Statistics 2x, Pearson, Prentice Hall,2009.
The Basic Practice of Statistics, 4th edition by David S. Moore, chapters 1-18 and 20.
20
Course Code : BUS 520
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
TOTAL QUALITY MANAGEMENT
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
COURSE OBJECTIVES
COURSE CONTENTS
This course focuses on the essence, principles, and practices of total quality management (TQM).
A survey of methods used to apply principles of total quality management (TQM) in various
organizational settings to improve quality and productivity. Topics include evolution of TQM
theory; TQM models, tools, and techniques; development of TQM teams; production of graphs
and charts; and comparison of TQM applications.


To introduce students to Total Quality Management concept and principles and the
various tools available to achieve Total Quality Management.
To
understand
the
statistical
approach
for
quality
control.
To create an awareness about the ISO and QS certification process and its need for the
industries







The Total Quality Approach to Quality Management
Total Quality Tools
Quality Costs
Statistical Process Control
Optimizing and Controlling Processes through Statistical Process Control
Quality Function and Deployment (QFD)
Implementing Total Quality Management
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, Presentation, Research, Discussion,
Problem solving
Description (%)
Student Assessment
Methods
Midterm exam
Report
Final exam
Learning outcomes
At the end of this course, the students will be able to define and interpret quality and total quality
control concepts, quality costs, and statistical quality processes. They will also be able to evaluate
total quality control practices.
Language of Instruction
English
Textbook(s)




30%
20%
50%
Gitlow/ Oppenheim/ levine,Quality Management, McGraw,2009.
21
Course Code : BUS 524
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
INTERNATIONAL BUSINESS
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course introduces students to the world of international business and management by
studying cultural influences, government, and business structures in our global economy.
Students also learn about trade relations, international finance and legal and labor agreements.
Also covered, are topics on information needs, production systems, marketing and promotion, and
career planning.
COURSE OBJECTIVES
We live in a world of intensifying global relationships, one in which international business has
become the key determinant of economic development and prosperity. This course is designed to
give students an understanding of the environment in which international business operates and
of the business practices required to compete successfully in global markets.
A secondary goal for this course is for students to develop the advanced decision-making skills
associated with managing different aspects of international business.
COURSE CONTENTS










Introduction: International management
International Management and Strategic Planning
International Management and Organizational Structure
International Management and Culture , International Management and Motivation
International Management and Leadership
International Management and Decision Making, International Management and Control
International Management and Communication
International Management and Negotiation , International Management and Ethics
International Management and Social Responsibility
International Management and Human Resource
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, Presentation, Discussion
Description (%)
Student Assessment
Methods
Midterm exam
Presentation
Final exam
Learning outcomes
By the end of this course students should be able to:
 apply theories, tools, and insights found in the field of international management to
common real world scenarios.
 discuss how various legal, political, economic, and cultural systems affect business
attitudes and behavior.
 apply managerial issues related to strategic planning, human resource management,
financial management, motivation, and leadership which arise in an international
context.
Language of Instruction
English
Textbook(s)

Certo, Certo,Modern Management 2x



30%
40%
30%
22
Course Code : BUS 526
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
SUPPLY CHAIN MANAGEMENT
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course covers the major issues in supply chain management, including: definition of a supply
chain; role of inventory; advanced production-inventory models; supply contracts; bullwhip effect
and information sharing; vendor-managed inventories and other distribution strategies; third-party
logistics providers; managing product variety; information technology and supply chain
management; international issues.
COURSE OBJECTIVES
The objective of the course is to introduce students to supply chain concepts and learn the
fundamental and more complex techniques and methods in a conceptual framework to solve
complex organizations supply chain decision problems.
COURSE CONTENTS








Introduction to Supply Chain Management (SCM)
Distribution Network Design in a Supply Chain
Aggregate Planning and Product Variety Management
Inventory Management: Deterministic & Stochastic; Multi-Period & Multi-Echelon
Strategic Alliances and Outsourcing Strategies
Supply Chain Coordination and Contracts
Customer Value and Supply Chain Management
Information Technology and Decision-Support Systems for SCM
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, Presentation, Discussion, Group Projects
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Midterm exam
Project
Final exam








25%
25%
50%
To identify the components of supply chain and their interactions.
To develop solutions for supply chain management and design problems.
To use information technology and electronic commerce in supply chain management.
To design logistics systems and develop integrated supply chain strategy.
To recapture the importance of systems thinking and global optimization.
English


Langley, Coyle, Gibson, Novack, Bardi,Managing Supply Chains, A Logistics Approach
x 1cd.
An, Fromm, Supply Chain Management on Demand.
23
Course Code : BUS 528
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
BUSINESS ECONOMICS
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Applies economic theory and methodology to business problems. Topics include demand
analysis, determination of cost, pricing and profitability. Marketing and sales forecasting
techniques are also introduced briefly.
COURSE OBJECTIVES
The objectives of this course are:
 Introduce the student to the micro and macro economic theories and practices as they
are applied to business in a managerial context.
 Provide the student with the advanced analytical skills, insights and managerial
decision-making tools required for sound business decisions.
 Explain the forces that shape the external environment of the firm such as aggregate
demand, economic cycles, inflation, interest rates, exchange rates, and the role that
demand management policies play in the economy and their impact on the firm's
operations.
COURSE CONTENTS













Introduction to Economics
Demand and Supply
The Market Mechanism and Price and Output Determination
Demand Analysis, Elasticity and Applications
Production Principles and Productivity Measurement
Costs of Production and Cost Relationships
Managerial Decision-Making Rules
The Measurement and Interpretation of Macroeconomic Activity
Indicators of Macroeconomic Performance
Short-term Determinants of Aggregate Economic Activity
Model of National Income Determination, The Income Multiplier and Output Gap
Fiscal Policy, Budget Balance and Public Debt
Money, Financial Markets, Interest Rate Determination, Central Banking and Monetary
Policy
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, Presentation
Description (%)
Student Assessment
Methods
Midterm exam
Final exam


40%
60%
Learning outcomes
Language of Instruction
Textbook(s)
English


"Business Economics" by Steven E. Landsburg and N. Gregory Mankiw (Southwestern:
2006) ISBN # 0-324-33890
Economics by David N. Hyman, 6th edition (New Jersey: Learn Inc., 2007).
24
Course Code : BUS 529
COURSE TITLE: MONETARY THEORY AND POLICY
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course is concerned with the theory and practice of monetary policy in the modern market
economy.
COURSE OBJECTIVES
This course is concerned with the theory and practice of monetary policy in the modern market
economy. Topics covered include: the ability of the central bank to regulate the supply of money
and credit conditions; factors affecting the demand for money; and the relationship between
changes in the money supply and interest rates and the impact of changes in each of these on
other economic variables.
COURSE CONTENTS











An Introduction to Money and the Financial System
Money and the Payments System
Financial Instruments, Financial Markets, and Financial Institutions
Future Value, Present Value, and Interest Rates, Understanding Risk
Bonds, Bond Prices, and the Determination of Interest Rates
The Risk and Term Structure of Interest Rates
Stocks, Stock Markets, and Market Efficiency
Money Growth, Money Demand, and .Monetary Policy
Output, Inflation, and Monetary Policy, Understanding Business Cycles
Monetary Policy and the Challenges Facing Central Bank, Targeting
Interest Rate Targeting ,Money Supply Targeting , Exchange Rate Targeting ,
Inflation Rate targeting
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, Presentation, Research, Discussion,
Problem solving
Description (%)
Student Assessment
Methods
Learning outcomes
Mid-Term Exams, Quizzes,Homework problem sets,
Assignment / Presentation % 50
Final exam 50%



Language of Instruction
Textbook(s)


50%
50%
Money, Inflation, and Interest. Students will learn the various monetary indicators
(interest rates, inflation, etc.) that are mentioned everyday in the press and used daily
by people everywhere. Students will learn to calculate these measures as well as their
strengths and weaknesses.
Monetary Policy. Students will learn how monetary policy is implemented, both at the
aggregate level (how the money supply is determined) and the institutional level.
Interesting Monetary Episodes. Students will learn to apply the knowledge gained in the
class to interesting monetary episodes such as hyperinflation in Brazil in the 1980s.
English




Money, Banking, and Financial Markets 2nd Edition Spring 2008 By Stephen G.
Cecchetti
Jordi Gali, "Monetary Policy, Inflation, and the Business Cycle: An Introduction to the
New Keynesian Framework", Princeton University Press, (Princeton NJ), 2008.
Walsh, Carl E., "Monetary Theory and Policy", MIT Press (2003) Second Edition.
Woodford Michael, "Interest and Prices – Foundations of a Theory of Monetary Policy",
Princeton University Press, (Princeton NJ), 2003.
25
Course Code : BUS 530
COURSE TITLE: OPERATIONS MANAGEMENT
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
The students are introduced to the operations management concepts which include (but are not
limited to) operations strategy, process design, forecasting, inventory management, scheduling,
and quality management.
COURSE OBJECTIVES
The basic purpose of this course is to provide students with a broad understanding and
knowledge of several operations management concepts. Such concepts include (but are not
limited to) operations strategy, process design, forecasting, inventory management, scheduling,
and quality management. Emphasis will be placed on the application of these concepts to actual
business situations.
COURSE CONTENTS









Operations Strategy
Process Management
Work-Force Management, Capacity Planning
Location Decisions, Material Management
Inventory for Independent Demand
Inventory for Dependent Demand, Aggregate Planning
Material Requirements Planning
Process Performance and Quality
Project Management
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, Presentation,
Problem solving
Research,
Discussion,
Description (%)
Student Assessment
Methods
Midterm exam
Presentation and Report
Final exam
Learning outcomes
Upon completion of this course, the student should be able to:
 Understand the dynamics of operations strategy and be able to develop one for a
company
 Understand and apply the concepts of process improvement and reengineering
 Be aware of the various manufacturing technologies and their purposes
 Understand the importance of quality management and statistical process control
 Recommend a location for a facility and design its layout
 Use a variety of forecasting techniques
 Understand the concepts and techniques of inventory management for independent and
dependent demand items
 Know the differences between push and pull systems
 Understand project management and be able to apply project scheduling techniques
Language of Instruction
English
Textbook(s)






30%
30%
40%
Roger G. Schroeder,Operations Management
Krajewski L.J., Larry P. Ritzman ,Operations Management: Process and Value Chains, Seventh Edition,
Pearson Prentice Hall, 2005, 0-13-127310-8
Roberta S. Russell, Bernard W Taylor, Operations Management, Fourth Edition, Prentice Hall, 2003, Prentice
26
Hall, 2004
27
Course Code : BUS 532
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
MONEY AND BANKING
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This is a master’s level class that focuses on monetary theory and policy. Topics include:
definition of money, search models, central banking and the conduct of monetary policy, foreign
exchange market and international financial system, demand for money and the relationship
between money and inflation.
COURSE OBJECTIVES
The goal of this class is to provide students with a solid foundation in money and banking theory.
COURSE CONTENTS














Definition of money, functions of money
Multiple Deposit Creation and the Money Supply Process
Tools of Monetary Policy
Determinants of demand for money
Friedman’s Quantity Theory of Money
Keynes’ Liquidity Preference Theory
IS-LM Model, Monetary and Fiscal Policy in IS-LM
OLG Models of Money
Foreign Exchange Market: Determination of Exchange Rates
International Financial System: Balance of Payments
Balance Of Payments (Currency) and Financial Crises
Financial Crises
Bank Runs
Money and Inflation
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, Question- Answer, Discussion
Description (%)
Student Assessment
Methods
Midterm exam
Final exam
Learning outcomes
At the end of the class, students should gain an in-depth understanding of the role and function of
money, role of central banks. The students will be prepared to apply the tools they learned into
real life issues.
Language of Instruction
English
Textbook(s)





40%
60%
The Economics of Money, Banking, and Financial Markets, 8th edition, by Frederick S.
Mishkin, Pearson-Addison Wesley, 2007
Bruce Champ and Scott Freeman, Modeling Monetary Economies, 2nd Edition, John
Wiley, 2001
Olivier Jean Blanchard, Lectures on Macroeconomics, MIT Press, 1989
28
Course Code : BUS 534
COURSE TITLE : CURRENT ISSUES IN INTERNATIONAL ECONOMICS
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Theory of International Trade. We will trace the historical development of international trade
theory in an attempt to understand why nations trade, how they trade, how and why trade
patterns shift, and what macroeconomic and microeconomic effects trade has on an
economy.
International Trade Policy. We examine issues relating to policies that nations adopt to regulate
international trade.
The Theory of International Finance. We presents the theoretical framework necessary to
understand international financial flows.
Open Economy Policy Analysis. The course concludes with a survey of how international
economics and traditional domestic economics interact.
COURSE OBJECTIVES
All economics today is international economics. That is, in today's world it is impossible to
understand any economic event, policy, or theory without taking into account the international
causes, direct effects, and indirect consequences. It is impossible to understand the domestic
economy without understanding its interactions with the international economy.
COURSE CONTENTS








Issues in Trade and Protectionism
Outsourcing, the WTO, and the Environment
Labor Standards
NAFTA, FDI, and other Trade Issues, Globalization
Trade Deficit Disorder
Exchange Rate Regimes and Macroeconomic Stabilization Policies
Europe and the Euro Zone
Financial Crises and Capital Flows, Foreign Aid
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, Presentation, Discussion
Description (%)
Student Assessment
Methods
Midterm exam
Final exam
Learning outcomes
By the end of the course the students should:
 Know key facts relating to international trade
 Be able to evaluate to effects of international trade and of international trade policies on
economic welfare and domestic goods and factor markets.
 Be able to understand the effect of biased economic growth on specialization, trade and
national welfare
 Understand the rational for trade restrictions.
 Understand the distributional effects of trade and changes in trade regimes.
 Understand the role of WTOs in the world economy
 Understand the role of foreign direct investment and multinational companies in the
world economy
Language of Instruction
English
Textbook(s)
Robert J. Carbaugh, International Economics 11/e. South-western Publishers, 2007


40%
60%
29
Course Code : BUS 536
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
BUSINESS ETHICS
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
The main questions considered by this class during the term are as follows: To which mental
model of business do you subscribe? How does your mental model of business drive your ethical
thinking? What moral philosophy theory(ies) describe your ethical behavior and business
practices? Do you apply moral theory and standards proactively in decision making, and not afterthe-fact as a rationalization of your actions? Is there an ethical framework for the culture of the
organization and team where you work? How does it square with your ethical standards? Is there
a difference between being ethical and being legal?
COURSE OBJECTIVES
In business as in other arenas of life, it is important for us to develop moral wisdom and moral
courage: wisdom to recognize when an ethical problem arises, as well as to make sound
decisions in situations of moral conflict; and courage to do what we know is right even when there
are strong pressures or incentives to do otherwise. Hence, the primary objectives of this course
are: 1) to increase students’ awareness of a wide range of ethical challenges that can arise in
business; 2) to enable them to test the strengths and weaknesses of various moral beliefs and
ethical arguments relevant to business practices; and 3) to reinforce their personal sense of
compassion and fairness in the context of their current or future professional roles.
COURSE CONTENTS







Introduction.
Ethics and Organisations. Employee Duties and Rights.
Discriminatory and Prejudicial Employee Practices. Downsizing the Workforce.
Handling Ethical Dilemmas at Work. Marketing Strategy and Ethics.
Ethical Practices in Market Place. Ethics and Finance.
Business and the Environment. Computers and Ethics
Corporate Responsibility, Social Audit and Ethical Investing.
TEACHING/ASSESSMENT
Description
Teaching Methods
The course will consist of lectures by the Course Coordinator, case analysis for discussion,
presentations by guest speakers, and viewing a few videos so as to provide material for
discussion.
Description (%)
Student Assessment
Methods
Class participation, discussion
Midterm
Designing and submitting a project
Learning outcomes
After this course students should:
 Have a clearer understanding of different ethical concepts, your own ethical philosophy,
and how each relates to the corporation
 Be able to identify ethical issues in the context of business decision making
 Recognize and give weight to ethical considerations in light of business operations
 Appreciate some of the ethical implications of contemporary business issues
 Hone your critical thinking skills
Language of Instruction
English
Textbook(s)

Manuel G. Velasquez,Business Ethics,Pearson,2009.



40%
20%
40%
30
Course Code : CEN 537
COURSE TITLE : KNOWLEDGE MANAGEMENT
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course focuses on how knowledge is created, captured, represented, stored and reused so
as to fully leverage the intellectual assets of a firm. The tools and techniques for knowledge
acquisition, assessment, evaluation, management, organization and dissemination are applied to
business situations. Topics include knowledge generation, knowledge coordination and
codification, knowledge transfer and reuse, technologies and knowledge management and
knowledge management strategies.
COURSE OBJECTIVES
The aim of this course is for students to understand the way organizations gather, manage, and
use the knowledge they acquire.
COURSE CONTENTS











Understanding Knowledge
Knowledge Management Systems Life Cycle
Knowledge Creation & Knowledge Architecture
Some Knowledge Capturing Techniques
Knowledge Codification
System Testing/Deployment
Transferring and Sharing Knowledge
Knowledge Transfer in E-World
Learning from Data
KM Tools and Knowledge Portals
Managing Knowledge Workers
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, presentation, homework
Description (%)
Student Assessment
Methods
Midterm exam
Project
Classroom activities
Final exam
Learning outcomes
Upon completion of this course, students are expected to be able to:
 Analyze the role of knowledge management in attainment of financial objectives, quality
and process improvement, and innovation.
 Apply knowledge management models and technologies to business situations.
 Create a knowledge management system for an organization.
 Create a knowledge management plan to leverage opportunities to create, capture,
represent and share knowledge within an organization.
Language of Instruction
English
Textbook(s)









15%
35%
30%
20%
Handžić, Zhou,Knowledge Management, An Integrative Approach.
Jerry Honeycutt, Knowledge Management Strategies.
Dalkır, K. (2005). Knowledge Management in Theory and Practice
Ghaoui, C et.al. (2005). Knowledge-based virtual education : user-centered paradigms.
Berlin : Springer
Pyka,A., Küppers, G. (2002). Innovation networks : theory and practice. Cheltenham,
UK ; Northhampton, MA : Edward Elgar.
31
Course Code : BUS 540
COURSE TITLE :
HERZEGOVINA
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
EUROPEAN ECONOMIC INTEGRATION AND BOSNIA AND
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
The trajectory of the relations between European Union and BIH. Institutions of European Union.
Analysis of European Union policies: social policies, industrial policy, trade policy, agricultural
policy, and regional policies. Problems and prospects of economic integration.
COURSE OBJECTIVES
How the membership of the European Union has changed over the years;
What we mean by integration, and its various stages;
The different approaches to integration;
The importance of the EU in the world economy.
To understand the relations between BIH and the EU
COURSE CONTENTS











The theory of economic integration
The stages of economic integration, economic integration and the WTO, economic
integration and economic federalism
The principals and historical evolution of the EU
The Single European market
The politics and economic enlargement and the stability and growth pact
Common agricultural policy
Common trade policy
Economic and monetary union
BIH – European Union relations
Environmental policy
The Relations between BIH and the European Union
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, Presentation, Discussion, Project
Description (%)
Student Assessment
Methods
Midterm exam
Project
Final exam
Learning outcomes
After this course students will:
 have an ability to interpret European events, developments and policies in national,
regional and local frameworks
 be able critically to follow and interpret EU policies
 be able critically to follow and interpret ideas and concepts of Europe and European
integration
 know the position of national economy in the context of European integrations
Language of Instruction
English
Textbook(s)



25%
25%
50%

Ali M. El- Agraa, The European Union Economics & Policies. (Seventh Edition.) Prentice
Hall, 2004.

Baldwin/ Wyplosz,The Economics of European Integration, McGaw- Hill,2009.
32
Course Code : BUS 542
COURSE TITLE : THEORY OF CONSUMER BEHAVİOR
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
The purpose of this course is to explore basic concepts of consumer behaviour. As well as
covering subjects such as perception, learning, motivation, values, personality, attitudes, decision
making and cultural issues in the classroom environment.
COURSE OBJECTIVES
This course aims to familiarize the students with:
 How and why people buy and use products and services;
 How to conduct consumer research;
 What types of internal and external factors are influential in consumer decision making
process for understanding and affecting consumer behaviour?
COURSE CONTENTS
Course introduction

Consumer Behavior: Meeting changes and challenges
 The consumer research process

Market segmentation and strategic targeting, Consumer motivation

Personality and consumer behavior, Consumer perception

Consumer learning, Consumer attitude formation and change
 Communication and consumer behavior, The family and its social class standing

The influence of culture on consumer behavior, Subcultures and consumer behavior

Cross cultural consumer behavior: An international perspective

Consumer influence and diffusion of innovations

Consumer decision making and beyond, Marketing ethics and social responsibility
TEACHING/ASSESSMENT
Description
Teaching Methods

Interactive lectures and communication
with students


Discussions and group work
Project



30%
20%
50%
Description (%)
Student Assessment
Methods
Mid-Term Exam
Project
Final exam
Learning outcomes
Students are able to:
 analyse critically the task of marketing under contemporary conditions from a
behavioural perspective;
 to examine the major functions that comprise the marketing task and their interactions
with consumer behaviour;
 to develop an awareness of the major types of marketing and consumer behaviour
problems faced by organizations.
Language of Instruction
English
Textbook(s)



Schiffman L. G. and Kanuk, L. L. (2007). Consumer Behaviour. 9th edition. Pearson:
Upper Saddle River, New Jersey.
Solomon, M.R., Zaichkowsky, J.L, and Polegato, R. Consumer Behaviour: Buying,
having, and being. Fourth Canadian Edition
Consumer Behavior and Marketing Strategy, by J. Paul Peter and Jerry C. Olson, Irwin
McGraw-Hill, 1999.
33
Course Code : BUS 543
COURSE TITLE : PROJECT MANAGEMENT
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course examines project management roles and environments, the project life cycle and
various techniques of work planning, and control and evaluation to achieve project objectives.
The tools currently available to project managers are discussed throughout this course.
COURSE OBJECTIVES
The course aims to give the student the basic theoretical and practical knowledge to design
computer aided project management methodology and apply this methodology to the main areas
of business such as production, finance and marketing.
COURSE CONTENTS











Introduction to Project Management
Project Organization, Leadership and Project Teams
Working with Project Tasks
Outlining a Project
Establishing Task Dependencies
Managing Project Resources
Scheduling with Resources
Tracking Project Progress
Project Reports, Forms, and Plans
Managing Project Risk
Project Management Software
TEACHING/ASSESSMENT
Description
Teaching Methods
Instruction, discussion, project, presentation
Description (%)
Student Assessment
Methods
Midterm exam
Project
Final exam
Learning outcomes
A student who successfully finishes the course is expected to have acquired the competency to
develop project management plans and to apply them to the business environment using
computer aided tools.
Language of Instruction
English
Textbook(s)






25%
25%
50%
Project Mangement, A Conteporary Approach
Chatfield C., T.Johnson, MS Project 2003, (2004), Arkadaş Kitabevi, ISBN 975-509398-2.
Timothy J. Kloppenborg ,Project Mangement, A Conteporary Approach
34
Course Code : BUS 544
COURSE TITLE : ENTREPRENEURSHIP
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Students will:
 analyze the historical development of entrepreneurship.
 learn the concepts of “entrepreneur” and “entrepreneurship”.
 analyze the ways of undertaking entrepreneurial risk.
 learn the concept of franchising.
 learn how to develop a business plan.
 analyze the concepts of “entrepreneurship” and “culture”.
 learn about “women entrepreneurship” and “family business.”
 learn the ethical side of entrepreneurship.
COURSE OBJECTIVES
This course addresses the issues faced by managers who wish to turn opportunity into viable
organizations that create value, and empowers students to develop their own approaches,
guidelines, and skills for being entrepreneurial managers.
COURSE CONTENTS











Nature of entrepreneurship,
Creativity and innovation,
Characteristics of entrepreneurs,
Development of entrepreneurship in organizations,
Environmental evaluations, Starting the new venture,
Evaluation of the new venture, Writing the business plan,
Legal issues for the new venture, Marketing plan for the new venture,
Capital resources of the entrepreneur,
Management of entrepreneurial development, Acquisition of a new venture,
International developments and entrepreneurship,
Ethical and social issues for entrepreneurs.
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecture, Discussion
Description (%)
Student Assessment
Methods
Midterm exam
Brief assignments
Participation in class
Final exam
Learning outcomes
Students will be able to:
 Identify potentially valuable opportunities.
 Obtain the resources necessary to pursue an opportunity and to create an
entrepreneurial organization.
 Manage the entrepreneurial organization once it has been established.
 Grow the business into a sustainable enterprise.
 Create and harvest value for the organization's stakeholders.
Language of Instruction
English
Textbook(s)






30%
10%
10%
50%
Peters Hisrich “Entrepreneurship” Mc Graw Hill USA 1998.
Barringer, Bruce R., and R. Duane Ireland. Entrepreneurship: Successfully Launching
New Ventures. Pearson Prentice-Hall, 2006 (2nd ed). HBS Case study, Explore, Inc (9-
35
300-011)
36
Course Code : BUS 547
COURSE TITLE : MATHEMATICAL PROGRAMMING
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course will be an introduction to mathematical programming, with an emphasis on techniques
for the solution and analysis of deterministic linear models. The primary types of models to be
addressed will be linear programming, network flow, and integer linear programming. However,
the course will touch on more complex models, such as those incorporating nonlinear constraints
or uncertainty. The main emphasis will be on solution techniques and on analysis of the
underlying mathematical structure of these models. As a supporting theme, the course will also
emphasize effective modeling techniques, the use of modeling languages, such as AMPL, and the
use of commercial solvers.
COURSE OBJECTIVES
The goals of this course are for students to:
 Improve their ability to rigorously prove mathematical statements.
 Cultivate an ability to analyze the structure of and mathematically model various
complex system occurring in industrial applications.
 Develop knowledge of the mathematical structure of the most commonly used
deterministic linear optimization models.
 Develop an understanding of the techniques used to solve linear optimization models
using their mathematical structure.
 Develop an understanding of the use of modeling languages for expressing and solving
optimization models.
 Develop knowledge of existing solvers for linear optimization.
COURSE CONTENTS






Review of Modeling
The Geometry of Linear Models, The Simplex Method
Modeling Languages, Duality Theory, Sensitivity Analysis
Transportation problems, Assignment models
Network Flow Models, Integer Programming Models
Advanced Models and Methods
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecture, Discussion, Group work/Project
Description (%)
Student Assessment
Methods
Midterm exam
Participation and group work
Final exam
Learning outcomes
Students will be able to:
 Analyze the structure of and mathematically model various complex system
 Understand the techniques used to solve linear optimization models
 Understand and use the modeling languages for expressing and solving optimization
models
Language of Instruction
English
Textbook(s)





25%
25%
50%
Frank R. Giordiano, A First Course in Mathematical Modeling
Ernest F. Haeusser, Richard S. Paul, Richard J. Wood,,Mathematical Analysis
37
Course Code : BUS 564
Course Title : ADVANCED DECISION MAKING
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7.5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Decision theory provides a formal framework for making logical choices in the face of uncertainty.
Given a set of alternatives, a set of consequences, and a correspondence between those sets,
decision theory offers conceptually simple procedures for choice. This course presents an
overview of the fundamental concepts and outcomes of rational decision making under
uncertainty, highlighting the implications for statistical practice.
COURSE OBJECTIVES




Provides a rich collection of techniques and procedures.
Discusses the foundational aspects and modern day practice.
Links foundations to practical applications in economics.
Presents different perspectives and controversies to encourage students to form their
own opinion of decision making and statistics.
COURSE CONTENTS










Advanced topics
Decision Making Under Uncertainty
Decision Trees
Multi Objective Decision Making
Analytic Hierarchy Process
Electre Method
Topsis Method
Goal Programming
Application Papers
Paper Presentation
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, discussion, team and individual work.
Description (%)
Student Assessment
Methods
Class/Homework Assignments/Attendance
Midterm Examination
Final Examination
Learning outcomes
Students will be able to:

Describe the steps of the decision-making process and different types of decision-making
environments.

Make decisions under uncertainty when probability values are not known.

Make decisions under risk when probability values are known.

Use Excel to set up and solve problems involving decision tables.

Develop accurate and useful decision trees.

Revise probability estimates using Bayesian analysis.
 Understand the importance and use of utility theory in decision making.
Language of Instruction
English
Textbook(s)







20%
30%
50%
Hamdy A. Taha, Operations Research, An Introduction,2009.
Winston, W. Operations Research : Applications and Algorithms , fourth edition (2004) 4th ed.
Thomson / Brooks-Cole., ISBN 0-534-42362-0.
Lawrence, J.A., B.A. Pasternack, Applied Management Science (2002) 2nd ed. Wiley, Ragsdale,
C.T., Spreadsheet Modeling and Decision Analysis (2004) 4th ed. Thomson / South-Western.,
ISBN 0-324-20305-5.
Moore, Weatherford, Decision Modeling, (2001) 6th ed. Prentice Hall.
38

Winston, Albright, Practical Management Science, (2001) 2nd ed. Duxbury
39
Course Code : BUS 567
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
GLOBAL COMPARATIVE MANAGEMENT
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
A study of cross-cultural comparisons of management and communications processes. Emphasis
on cultural geographic distinctions and antecedents that affect individual, group, and
organizational behavior. Topics include sociocultural demographic, economic, technological, and
political-legal environment of cluster countries and their relationship to organizational
communication and decision making.
COURSE OBJECTIVES
Understand the overview of international management. Importance of international management.
Understand political, economic, legal environment. Identify the role of culture in international
management. Determine strategy formulation for international mandate. Understand cross-border
alliances. Determine staffing and training for global operators. Understand motivating and
leadership for international staff. Understand managing international terms and workforce
diversity. Understand global labor relations.
COURSE CONTENTS











The overview of international management.
Importance of international management.
Political, economic, legal environment. Social responsibility and ethics.
Identify the role of culture in international management.
Cross-cultural communicators. Cross-border alliances.
Determine strategy formulation for international mandate.
Determine staffing and training for global operators. Trade agreements.
The importance of world trade organizations.
Motivating and leadership for international staff.
Managing international terms and workforce diversity.
Global labor relations. Contingency leadership.
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecture, Discussion, Report
Description (%)
Student Assessment
Methods
Midterm exam
Report
Presentation
Final exam
Learning outcomes
Upon completion of this course, the student should be able to:
Utilize a broad array of cross-cultural knowledge necessary for appropriate product development,
marketing strategies, supervision of multicultural personnel in the United States or abroad, and
other problem-solving situations; and interpret cross-cultural communications cues through roleplaying and other problem solving situations.
Language of Instruction
English
Textbook(s)







30%
10%
10%
50%
Thomas W. Zimmerer, Norman M. Scarborough, Doug Wilson, “Essentials of Entrepreneurship and
Small Business Management”, 5/E, Prentice Hall, 2007, ISBN-10: 0132294389
Longenecker, J. G., Donlevy, L. B., Calvert, V. A., Moore, C. W., & Petty, J. W. (2003). Small
business management: An entrepreneurial emphasis (Second Canadian Edition). Toronto: ITP
Nelson.
Charles Handy, Gods of Management: The Changing Work of Organizations (Oxford University
40
Press, 1995)
41
Course Code : BUS 572
COURSE TITLE :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
RISK MANAGEMENT IN PARTICIPATION BANKING
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
The course covers a wide range of topics that deal with risk management instruments and
techniques in conventional and Participation banks.
COURSE OBJECTIVES
The course aims to give the student the basic theoretical and practical knowledge about risk
management for Participation Banking commonly known as Islamic Banking.
COURSE CONTENTS











Principles of Participation Banking
Risk Management: Basic Concepts and Techniques
Risks of Participation modes of finance
Basel II and IFSB for Participation Financial Risk
Risk management according to Basel II and Participation banking industry
Credit Risk in Participation banking
Credit risk exposure identification
Validating the credit rating systems
Market Risks in Participation Banking
Operational Risk in Islamic Finance
Risk Reports
TEACHING/ASSESSMENT
Description
Teaching Methods
Presentation, Practical application, Discussion
Description (%)
Student Assessment
Methods
Midterm exam
Final exam
Presentation, Attendance, Participation, Homework
Learning outcomes
The student should be able to understand the nature, characteristics and magnitude of risks to
which Participation Banking is exposed and the best ways to manage those risks to ensure that
Participation banks provide financial services in a safe and sound manner and safeguard itself
from financial crisis.
Language of Instruction
English
Textbook(s)






30%
50%
20%
Akkizidis, Ioannis, & Khandelwal, Sunil Kumar. (2008), Financial Risk Management for
Islamic Banking and Finance, Palgrave Macmillan, USA.
Khan, Tariqullah & Ahmed, Habib (2001) Risk Management an Analysis of Issues in
Islamic Financial Industry, Islamic Research and Training Institute, Jeddah – Saudi
Arabia.
Accounting and Auditing Organisation for Islamic Financial Institutions, Shari'a
Standards for Islamic Financial Institutions, 1429 H – 2008, Manama, Bahrain.
42
Course Code : BUS 573
COURSE TITLE : SPECIAL TOPICS IN MANAGEMENT SCIENCE
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
The course will make use of case materials and simulations including portfolio selection
techniques.
COURSE OBJECTIVES
An examination of the special nature of current management problems facing financial institutions
because of securities markets' fluctuations, legal requirements, and responsibilities to
shareholders and creditors.
COURSE CONTENTS





The application of business and management news on the day of the conceptual
framework developed in Management, marketing, accounting, economics and finance.
Outcomes of management with the conceptual framework.
How to defend the government's forecast, corporate, nonprofit policies and leaders.
How do you oppose predicting government policies and leaders.
How do you oppose the government's prediction of politics and leaders.
TEACHING/ASSESSMENT
Description
Teaching Methods
Instruction, discussion, presentation
Description (%)
Student Assessment
Methods
Midterm exam
Paper presentation and participation
Final exam
Learning outcomes
Proof of a higher level of management learning current topics related to management through
written documentation, their changes, and oral presentation
Language of Instruction
English
Textbook(s)




25%
25%
50%
Samuel C. Certo & Trevis Certo, “Modern Management: Concepts and Skills”, 11/E,
Prentice Hall, 2008, ISBN-10: 0136010164
43
Course Code : BUS 575
COURSE TITLE : ADVANCED COST ACCOUNTING
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course is the study of advanced cost accounting, including budgeting, standard costs and
cost and profit analysis for decision making.
Both managers and accountants must acquire sufficient familiarity with cost systems to perform
their job. Firm’s accounting system is an integral part of both the decision making and
performance evaluation systems. An efficient internal accounting system should provide
management with answers to the following questions:
 What are the most profitable products? What pricing strategies can be implemented?
 Are there production inefficiencies? Can we minimize costs of making our products?
In addition internal accounting system should provide meaningful data for performance measures,
support financial accounting and tax reporting functions and contribute more to firm value than it
costs.
COURSE OBJECTIVES
To provide the students with an in-depth knowledge of advanced approaches of Cost Accounting
to enable them to apply costing methods and techniques to assist management for taking
appropriate decisions.
COURSE CONTENTS







standard costs-and-variance analysis;
responsibility accounting, direct costing, overhead allocation, break-even;
product pricing through return-on-investment methods;
divisional income measurement;
forecasting with statistical models;
capital budgeting;
applications of mathematics to cost accounting problems.
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecture, Discussion, team work
Description (%)
Student Assessment
Methods
Midterm exam
Paper presentation and participation
Final exam
Learning outcomes
On completion of this course they will be able to:
 demonstrate costing methods and techniques appropriate to a variety of different
businesses.
 explain the role of standard costing within organizations and prepare and interpret
standard costs and variance statements.
 explain target costing, quality costing, service costing, operation costing and its
accounting system and control.
Language of Instruction
English
Textbook(s)
Horngren, Datar, Foster, Rajan, Itttner (2009), Cost Accounting a Managerial Emphasis, 13th
edition, Pearson Prentice Hall



25%
25%
50%
44
Course Code : BUS 582
COURSE TITLE : APPLIED ECONOMETRICS
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II-III
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Students should have a good grasp of basic statistical/econometric concepts and basic
mathematical tools, such as calculus and algebra. The first couple weeks will review basic
concepts in math, probability, and statistics. While computer programming in SAS will be used in
this course, no previous programming experience will be required.
COURSE OBJECTIVES
The primary objective of this course is to teach students applied econometric techniques in a
highly empirical but theoretically rigorous context. This course is intended to be useful to MA/MS
students who may not take any more econometrics as well prepare students for more advanced
courses. Course presents an applied introduction to econometric techniques with some
derivations of their properties, but leaves more theoretical treatment to future courses. For all
groups, the course provides practical experience in the use of SAS. The course will make use of
SAS (Statistical Analysis System) software, both in class and in required homework. SAS is a
general-purpose statistical package in wide use across social science disciplines.
COURSE CONTENTS







Review of Probability , Simple Linear Regression Model
Multiple Regression: Estimation , Multiple Regression: Specification
Errors, G-M Theorem, Review of Math Stat App.
Multiple Regression: Inference , Multiple Regression: Binary Variables
Multiple Regression: Model Fit Tues. Multiple Regression: OLS Asymptotics
Heteroskedasticity, Specification and Data Issues
Simultaneous equations, Time Series Analysis, Serial Correlation
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, discussion, research and presentation, homework
Description (%)
Student Assessment
Methods
Midterm Exam
Final Exam
Homework
Final Research Paper
Learning outcomes
Upon successful completion of this course, students will be able to:
 Understand basic estimation procedures, inference methods, asymptotic properties, and
model formulation techniques in common linear regression models used in applied
econometric analysis of cross-sectional and time-series data.
 Understand and address different estimation/specification problems typically faced in
applied economic research using linear regression techniques (omitted variable bias,
heteroskedasticity, multicollinearity, autocorrelation, etc.).
 Implement econometric techniques learned in class in an applied research context
utilizing SAS software
Language of Instruction
English
Textbook(s)




30%
35%
20%
15%

Essentialis of Econometrics, Damodar N. Gujarati, McGraw HI

Understanding Econometrics, Denis Halcoussis, Thomson
45
Course Code : BUS 592
COURSE TITLE : AUDITING
Level : Graduate
Year :
Semester : I-II-III
ECTS Credits : 7,5
46
Status : Elective
Hours/Week : 3
Total Hours : 45
Course Coordinator
COURSE DESCRIPTION
This course concentrates mainly on external auditing and includes topics as: Definition of auditing,
auditing standards, ethics in auditing, independence issues, types of audit reports, the study and
evaluation of internal controls including the EDP environment, audit risks, statistical sampling in
audit, audit of balance sheet and income statement items.
COURSE OBJECTIVES
This course provides a foundation in assurance, attestation, and auditing fundamentals for future
auditing, financial, managerial, systems and tax professionals. The emphasis of this course is on
conceptual, theoretical and practical aspects of auditing financial statements. Upon completion of
this course, students will be able to apply professional auditing standards and appropriate audit
and other procedures to auditing, assurance and attestation engagement
COURSE CONTENTS







Term, the importance and objectives of the audit.
Types of audit.
The system of internal control.
Methods of audit.
Principles and standards of audit.
Audit profession (characteristics of the audit profession, the audit firm and the
national association).
Technology implementation of the audit of financial statements.
TEACHING/ASSESSMENT
Description
Teaching Methods
Lecturing, problem solving, submissions by students, class
discussions
Description (%)
Student Assessment
Methods
Midterm exam
Presentation
Report
Final exam
Learning outcomes
Upon completion of this course, students will be able to apply professional auditing standards and
appropriate audit and other procedures to auditing, assurance and attestation engagements.
Language of Instruction
English
Textbook(s)







30%
10%
10%
50%
Principles of Auditing, Ray Whittington and Kurt Pany, McGraw Hill
Hayes, Dassen, Schilder, Walage, Principles of Auditing, An Introduction to International
Standards on Auditing, Prentice Hall
Beasley, Buckles, Glover, Prawitt, Auditing Cases and Interactive Learning Approach,
Pearson Prentice Hall
47
Course Code : BUS 599
COURSE TITLE : MASTER’S SEMINAR (GRADUATE SEMINAR)
Level : Graduate
Year :
Status : Compulsory
Hours/Week : 0
Semester : IV
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Depended on chosen subject
COURSE OBJECTIVES
COURSE CONTENTS
TEACHING/ASSESSMENT
Description
Teaching Methods
Research work, Presentation
Description (%)
Student Assessment
Methods
ECTS Credits : 0
Depended on chosen subject
Learning outcomes
Language of Instruction
English
Textbook(s)
Depended on chosen subject
48
Course Code : CEN 551
Course Title:
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
CURRENT ISSUES IN MANAGEMENT INFORMATION SYSTEMS (MIS)
Semester : I-II-III
ECTS Credits : 7.5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
The course aims to introduce basic information system concepts and understanding of the role of
computer based information systems in business organizations. The focus will be on a sociotechnical approach Coverage will include; TPS, MIS, DSS, ERP, Electronic Commerce and
Electronic Business, Artificial Intelligence (AI) and Expert Systems (ES), Integration of DDS and
ES, Executive Information Systems, Information Systems, Planning Information Engineering.
COURSE OBJECTIVES
Key issues covered include:
 the essence of corporate strategy;
 IS strategy from both practical and theoretical perspectives;
 contemporary IS strategic issues;
 the technical versus social debate in IS and corporate strategy;
 ways forward for the application of strategic thinking in the IS domain;
 the integrated nature of corporate strategy and information systems as a basis for IS
strategic management.
COURSE CONTENTS









Essential Concepts
Information Systems for Competitive Advantage
Using Information Technology to Engage in Electronic Commerce
System Users and Developers
Computing and Communications Resources
Database Management Systems
Systems Development
Information in Action / Information Security
Ethical Implications of Information Technology
TEACHING/ASSESSMENT
Description

Teaching Methods



Interactive lectures and communications
with students
Discussions and group works
Presentations(4-5 students per semester)
Guest Course Coordinators(4-5 guests per
semester)
Participation of different teaching methods
depends on the subject. The goal is to
maximize student’s participation in all
teaching methods.
Description (%)
Student Assessment
Methods
Mid-Term Exams
Presentation
Final Exam
Learning outcomes
To be able to plan and design and manage IT resources of an organisation
Language of Instruction
English
Textbook(s)


20%
30%
50%
Management Information Systems, 10/e Raymond McLeod and George Schell
Business and Information Systems , 2nd edition, BY Robert C. Nickerson, 2003,
Prentice Hall.
49
Course Code :
CEN 552
Course Title:
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
DATA MINING
Semester : I-II-III
ECTS Credits : 7.5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Data Mining studies algorithms and computational paradigms that allow computers to find patterns
and regularities in databases, perform prediction and forecasting, and generally improve their
performance through interaction with data. It is currently regarded as the key element of a more
general process called Knowledge Discovery that deals with extracting useful knowledge from raw
data. The knowledge discovery process includes data selection, cleaning, coding, using different
statistical and machine learning techniques, and visualization of the generated structures. The
course will cover all these issues and will illustrate the whole process by examples. Special
emphasis will be give to the Machine Learning methods as they provide the real knowledge
discovery tools. Important related technologies, as data warehousing and on-line analytical
processing (OLAP) will be also discussed. The students will use recent Data Mining software.
COURSE OBJECTIVES



To introduce students to the basic concepts and techniques of Data Mining.
To develop skills of using recent data mining software for solving practical problems.
To gain experience of doing independent study and research
COURSE CONTENTS






Introduction to Data Mining , Data Warehouse and OLAP
Data preprocessing , Data mining knowledge representation
Attribute-oriented analysis, Data mining algorithms: Association rules
Data mining algorithms: Classification, Data mining algorithms: Prediction
Evaluating what's been learned, Mining real data
Clustering , Advanced techniques, Data Mining software and applications
TEACHING/ASSESSMENT
Description
Teaching Methods
Instruction, Discussions, Presentations, Homework
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Mid-Term Exam
Presentation
Final Exam




20%
30%
50%
After completing this course students should be able to:
 Explain what data mining is and how data mining can be employed to solve real problems.
 Recognize whether a data mining solution is a feasible alternative for a specific problem.
 Recognize several data mining strategies and know when each strategy is appropriate.
 Explain how several data mining techniques build models to solve problems.
 Summarize the structure of a data warehouse and how a data warehouse can be used to
enhance business opportunities.
 Explain how expert systems represent general models that emulate human actions.
 Recognize that intelligent agents are computer programs able to assist us with everyday tasks.
 Describe the types of problems that can be solved by combining an expert systems problemsolving approach and a data mining strategy.
 Apply the software that accompanies the text to solve real problems.
English



Data Mining, A Tutorial- Based Primer, Richard J. Roiger, Michael W. Geatz.
Data Mining: Concepts and Techniques, 1st ed., by Jiawei Han and Micheline Kamber,
Morgan Kaufmann, 2001.
T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data
50
Mining, Inference, and Prediction, Springer-Verlag, 2001
51
Course Code :
CEN 553
Course Title:
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
E-BUSINESS / E-COMMERCE
Semester : I-II-III
ECTS Credits : 7.5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Unique aspects of creating and managing an E-Commerce business; topics address the internet,
infrastructure for electronic commerce, markup languages, web-based tools and software, security
issues, electronic payment systems, strategies for marketing, sales and purchasing, legal, ethical
and tax issues, management functions including how managers plan, exercise leadership,
organize, and control the operations.
COURSE OBJECTIVES
The objective of this course is to understand the systems of e- business theory, e- business
models, e-commerce, design, develop and implement e- business, online monetary transaction,
Security of e-business, legal issues, political issues, e-learning, Internet banking, hardware and
software needs, Internet market.
COURSE CONTENTS







History of Internet, history of web, Internet and World Wide Web Development, Ebusiness and E-commerce overview.
Structures, mechanisms, economics and models
Product and service retailing and their principles
Consumer behaviors, market research and advertisement
B2B commerce, buying and selling, B2B exchanges and support systems
E-government, e-learning, C2C,etc.
Mobile commerce and pervasive computing, Electronic payment models
TEACHING/ASSESSMENT
Description
Teaching Methods
Instruction, Discussions, Project, Homework
Description (%)
Student Assessment
Methods
Mid-Term Exam
Project and Homework
Final Exam
Learning outcomes
The student will be able to:
 Utilize the basic language of e-business
 Describe the major types of e-commerce and discuss its origins and growth
 Identify the key components of the e-commerce business model
 Explain key business concepts and strategies as applicable to e-commerce
 Discuss the origin of the internet, the role of internet protocols, and explain the current
structure of the internet
 Explain the process involved in building an e-commerce website and the issues
surrounding outsourcing of development and/or hosting
 Discuss the scope of e-commerce crime and security problems
 Explain the major e-commerce payment mechanisms
 Identify and describe the main technologies that support online marketing and basic ecommerce marketing and branding strategies
 Explain why e-commerce raises ethical, social, legal, and political issues
 Explain why taxation of e-commerce raises governance and jurisdiction issues
Language of Instruction
English
Textbook(s)




20%
30%
50%
Dave Chaffey, E-Business and E-Commerce Management, Second edition, Pearson
Education
52

eCommerce Development: Business to Consumer, Eric Stroo
53
Course Code : BUS 5xx
Course Title: SPECIAL STUDIES
Level : Graduate
Year :
Status : Obligatory
Hours/Week : 1
Semester : IV
ECTS Credits : 0
Total Hours : 0
Course Coordinator :
COURSE DESCRIPTION
Depends on the subject of master thesis/project.
COURSE OBJECTIVES
Research and development on the field of study under the supervision of an advisor of students’
master thesis/project.
COURSE CONTENTS
Depends on the subject of master thesis/project
TEACHING/ASSESSMENT
Description
Teaching Methods
Discussions, Project
Description (%)
Student Assessment
Methods
Successful-Failed
Learning outcomes
Depends on the subject of master thesis/project
Language of Instruction
English
Textbook(s)
Depends on the subject of master thesis/project
54
Course Code : CEN 511
Course Title : WEB ENGINEERING
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Digital libraries are complex systems that are intended for use by diverse audiences. A thorough,
systematic approach is required for the successful development of digital library projects. Web
Engineering introduces a structured methodology utilized in software engineering to Web
development projects. The course addresses the concepts, methods, technologies, and
techniques of developing Web sites that collect, organize and expose information resources.
Topics covered include requirements engineering for Web applications, design methods and
technologies, interface design, usability of web applications, accessibility, testing, metrics,
operation and maintenance of Web applications, security, and project management. Specific
technologies covered in this course include client-side (XHTML, JavaScript, and CSS) and
serverside (Perl and PHP).
COURSE OBJECTIVES
The goals of the course are as follows:
 To be able to analyze and design comprehensive systems for the
creation,dissemination, storage, retrieval, and use of electronic records and documents.
 To learn and use some of the client-side and server-side languages used to manipulate
information on the World Wide Web – i.e. PHP, and Javascript.
 To learn techniques and evaluation metrics for ensuring the proper operability,
maintenance and security of a web application.
COURSE CONTENTS
CEN 511 is a special topics course in Web Engineering for students in the library & information
sciences and related disciplines. Web Engineering focuses traditional software engineering to the
design, coding, and deployment of web applications. The course is intended for students who are
interested in developing or maintaining web applications in the roles of project managers or digital
librarians. Being a graduate level course, CEN 511 is not designed to be purely programming,
although the course’s assignments and projects do emphasize programming.
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Mid-Term exam
Report
Final Exam



30%
30%
40%

English

Kappel, G., Proll, B. Reich, S. & Retschitzegger, W. (2006). Web Engineering, 1 st
ed.Hoboken, NJ: Wiley & Sons. ISBN: 0470015543


Using XHTML 4 XML Java 2 Platinum by Eric Ladd
A Little Book on Perl by Robert Sebesta, Prentice Hall; 1st edition (December 29,
1999), ISBN: 0139279555
55
Course Code : CEN 554
Course Title :
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
XML AND WEB SERVICES
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course is designed for web developers, students, and programmers wanting to learn XML
(Extendable Markup Language) and the supporting technologies currently used with XML.
COURSE OBJECTIVES
This course focuses on XML (eXtendable Markup Language) and the supporting technologies of
XML used in person-to-computer and computer-to-computer communications. Some of the
technologies covered will include using DTDs (Document Type Definitions), Schema,
Namespaces, XPath, DOM, SAX, Data Models, XSLT, SVG, and SOAP as well as web services
and the Semantic web.
Here's what the students learn by taking this course:
How to create an XML document. It's just like HTML only with customized tag names.
Using DTD and Schemas to validate the XML data.
How XML can be formatted, filtered, and transformed using a language called XSLT.
Several common XML technologies including SVG, SMILE, RSS, and SOAP.
How XML will be used to create the Semantic (intelligent) Web.





COURSE CONTENTS
Create an XML document.
Create a Document Type Definition (DTD).
Demonstrate how the schemas are used in XML.
Use namespaces as part of a schema and XLS document.
Use RelaxNG to validate XML documents
Utilize CSS to control the style of a web page
Use XPath to extract text blocks from an XML document.
Demonstrate use of the DOM (Document Object Model ) using JavaScript in a web page.
Demonstrate the use of SAX (Simple API for XML).
Use XSLT to create HTML pages from XML documents.
Create an animated graphic display using SVG.
Use RSS as a communication tool between your clients and their customers
Demonstrate web services.
Demonstrate how SOAP is used as an integral part of web services.
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Mid-Term exam
Report
Final Exam



30%
30%
40%

English
Developing XML Solutions, Jake Sturm, Amazon, 2000, ISBN -10: 0735607966,ISBN-13: 9780735607965
Beginning XML 4th Edition , by Hunter, Watt, Rafter, et al. WROX press, ISBN: 978-0-47011487-2
56
Course Code : CEN 555
Course Title : SPECIAL TOPICS IN DATABASE SYSTEMS
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Relational algebra, QBE, normalization theory, physical data organization techniques and
indexing, advanced SQL (data control language), query processing, data recovery, security and
integrity, object relational data model, XML and XML-related technologies in databases.
COURSE OBJECTIVES
The objective of this course is to give an advanced introduction to the concepts for modeling,
designing, querying and managing large databases. The course covers a spectrum of topics
involved with current approaches to modeling and design of databases and the design of DBMSs
to manage databases. The relational model is emphasized and relational database management
systems are addressed from the standpoint of query optimization, database security, transaction
management, concurrency control, and recovery. Other topics to be introduced will include object
COURSE CONTENTS
-
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Mid-Term exam
Report
Final Exam



30%
30%
40%

English



Ramakrishnan R., Gehrke J., 1998, Database Management System, McGraw-Hill
Elmasri R., Navathe S.B., 2000, Fundamentals of Database Systems, Addison Wesley
Maier D., 1983, The Theory of Relational Databases, Computer Science Press
57
Course Code : CEN 559
Course Title : MACHINE LEARNING
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Machine Learning: Machine learning techniques and statistical pattern recognition, supervised
learning (generative/discriminative learning, parametric/non-parametric learning, neural networks,
support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel
methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement
learning and adaptive control, applications areas (robotic control, data mining, autonomous
navigation, bioinformatics, speech recognition, and text and web data processing).
COURSE OBJECTIVES
Present the key algorithms and theory that form the core of machine learning. Draw on concepts
and results from many fields, including statistics, artificial intelligence, philosophy, information
theory, biology, cognitive science, computational complexity, and control theory.
COURSE CONTENTS














Introduction
Concept Learning
Decision Tree Learning
Decision Tree Learning
Artificial Neural Networks
Artificial Neural Networks
Evaluation Hypotheses
Evaluation Hypotheses
Bayesian Learning
Bayesian Learning
Computational Learning Theory
Computational Learning Theory
Reinforcement Learning
Reinforcement Learning
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Mid-Term exam
Report
Final Exam

Language of Instruction
English
Textbook(s)
Decision Support Systems, 2nd Edition, Prentice Hall, 2002



30%
30%
40%
58
Course Code : CEN 561
Course Title : DECISION SUPPORT SYSTEMS
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course focuses on design, development and implementation of effective systems for meeting
information needs of management decision-makers. The course explains both model-based and
data-based decision support systems and their use by managers in functional areas.
Spreadsheets and applied artificial intelligence models, such as artificial neural network, and/or
rule-based expert systems software may be used to introduce the decision-support process.
COURSE OBJECTIVES
This course focuses on design, development and implementation of effective systems for meeting
information needs of management decision-makers. The course explains both model-based and
data-based decision support systems and their use by managers in functional areas.
Spreadsheets and applied artificial intelligence models, such as artificial neural network, and/or
rule-based expert systems software may be used to introduce the decision-support process.
COURSE CONTENTS
-
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Mid-Term exam
Report
Final Exam

Language of Instruction
English
Textbook(s)
Decision Support and Business Intelligence Systems, 9/e
Turban, Sharda & Delen ©2011 | Prentice Hall



30%
30%
40%
59
Course Code :
CEN 563
Course Title : NETWORK PROGRAMMING
Level : Graduate
Year :
Semester : I-II
Status : Elective
Hours/Week : 3
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Design and implementation of network programs, protocols and systems: Network programming
models, concurrency and concurrent programming, advanced socket programming, distributed
computing, message-oriented middleware, peer-to-peer programming, mobile agents, multimedia
networking, introduction to enterprise applications development.
Recommended Course(s): CEN 362 or Chairman’s consent.
COURSE OBJECTIVES
COURSE CONTENTS









Intro. To Networking, O.S.I. Reference Model
Datalink and Transport Layers, Ethernet, TCP/IP, Sockets Programming
TCP Programming, TELNET, HTTP, Authd, UDP sockets, I/O Multiplexing
TFTP, DNS and address conversion, Buffer Overflow
The WWW & Web Programming (CGI), Cookies, JavaScript, XML Handouts, Links
Router and Bridge Software, Threads programming, IPV6
Client/Server Programming, Advanced Sockets Programming
SMTP, POP, IMAP, FTP, More Internet Application Protocols
Protocol Design, SCTP, Security, LDAP, XDR, RPC Programming
Project Topics:
Topic (may change)
 Layered Software System, HTTP Server
 UDP (TFTP or DNS), CGI Program
 (Something using threads)
IPV6
 RPC/SCTP/Java ?
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Mid-Term exam
Report
Final Exam



30%
30%
40%

English

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Main Textbook: Elliotte Rusty Harold, Java Network Programming, 3rd Edition, O'Reilly,
2004
Richard Blum, C# Network Programming, Sybex , 2003
Kurose J. F., Ross K. W., 2008, Computer Networking: A Top-Down Approach
Featuring the Internet, 4th Edition Addison-Wesley
60
Course Code : CEN 565
Course Title : MOBILE AND WIRELESS NETWORKING
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Wireless transmission (physical layer), wireless media access (link layer), telecommunication
systems (such as GSM/GPRS, DECT, TETRA, UMTS and IMT-2000), wireless LANs (IEEE
802.11, Bluetooth), mobile network layer (mobile IP, DHCP), mobile transport layer (TCP over
wireless), mobile application support and wireless programming.
COURSE OBJECTIVES
COURSE CONTENTS
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Introduction
Wireless transmission (physical layer) (1/2)
Wireless transmission (physical layer) (2/2)
Wireless media access (link layer) (1/2)
Wireless media access (link layer) (2/2)
Wireless telecommunication systems: GSM/GPRS, EDGE, UMTS
Wireless LANs: IEEE 802.11
Wireless LANs: Bluetooth
Mobile network layer (mobile IP, DHCP, mobile ad-hoc networks)
Mobile transport layer (TCP over wireless)
Mobile application support and introduction to wireless programming
Wireless sensor network
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Mid-Term exam
Report
Final Exam
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30%
30%
40%

English
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
Stallings W., 2004, Wireless Communications and Networks, Second Edition, Prentice
Hall
Schiller J., 1999, Mobile Communications, Addison Wesley
61
Course Code : CEN 566
Course Title : MOBILE PROGRAMMING
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course introduces different programming techniques as applied to mobile platforms.
Specificareas of study will include: programming strategies for small devices – including reviewing
key J2ME components such as CLDC (Connected Limited Device Configuration) and MIDP
(Mobile Information Device Profile); WAP and XHTML/WML programming deployment strategies
for networked mobile applications.
COURSE OBJECTIVES
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COURSE CONTENTS
Choose appropriate programming technologies and techniques to use when developing
specific mobile application systems [A2, A3]
Develop wireless applications for mobile devices using appropriate programming tools
[A2]
Demonstrate an understanding of emerging standards, protocols and technologies in
mobile applications development [A2]
Address key issues of concern in the development of mobile application systems
WAP, Bluetooth, and 3G: A Brief Introduction, WML and WML Script Programming, Introduction to
J2ME, Introduction to MIDP, MIDP 2.0 and the JTWI, Java APIs for Bluetooth Wireless
Technology, Writing Quality Code for Smartphones, Making Java Code Portable, Writing
Optimized Code, Advanced 3G Programming, Mobile Messaging Applications, Mobile Databases
and Synchronization Engines, Mobile Databases for MIDP Devices, XML and Mobile Web
Services, m-commerce security, Secure payment systems, Case studies and programming
projects.
 Programming Strategies for Small Devices, Overview of J2ME
 The Connected Limited Device Configuration (CLDC)
 The Mobile Information Device Profile (MIDP), MIDP GUI Programming
 MIDP Events, Introduction to WAP and XHTML/WML
 Networking - MIDP Connectivity: HTTP and Bluetooth
 XHTML/WML programming with J2ME, Deployment strategies for mobile applications
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Mid-Term exam
Report
Final Exam
Learning outcomes
30%
30%
40%
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Language of Instruction
Textbook(s)
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English
123456-
Li Sing., Knudsen J., 2005, Beginning J2ME – From Novice to Professional (3rd Edn), Apress;
ISBN: 1-59059-479-7
Knudsen J., 2008, Kicking Butt with MIDP and MSA, Addison Wesley;
ISBN: 0-321-46342-0
Hamer C., 2007, Creating Mobile Games, Apress; ISBN: 1-59059-880-6
Michael Juntao Yuan, Enterprise J2ME Wireless Applications, Prentice Hall, Upper Saddle River,
NJ, 2003, ISBN 0131405306 Daryl Wilding-McBride, Java on PDAs with J2ME, Addison
Wesley, 2003, ISBN 0201719541
Dan Harkey, Wireless Java Programming for Enterprise Applications: Mobile Devices Go
Corporate, John Wiley & Sons Inc, 2002, ISBN 0471218782
62
63
Course Code : CEN 582
Course Title : COMPUTER AND NETWORK SECURITY
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
Techniques for achieving security in multi-user computer systems and distributed computer
systems: Basics of cryptography, network security applications and system security, conventional
encryption and message confidentiality, public-key cryptography and message authentication,
authentication applications. Electronic mail, IP, web, and network management security. Intruders,
viruses, and firewalls.
COURSE OBJECTIVES
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COURSE CONTENTS
Introduction (History, Traditional cryptosystems)
Stream Ciphers, Block Ciphers (DES, AES, RC4)
Block Ciphers (DES, AES, RC4)
Block Ciphers, Hash Algorithms
Introduction to Number Theory
Public Key Cryptography, RSA
Key Management, Diffie-Hellman, Elliptic Curve cryptography
Authentication Applications (Kerberos, X.509)
IP Security
SSL/TLS, Electronic Mail Security
Project Presentations
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Mid-Term exam
Report
Final Exam
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30%
30%
40%

English
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William Stallings and Lawrie Brown, Computer Security, Principles and Practice,
Prentice Hall, 2008.
Dieter Gollmann, Computer Security, Wiley, 2005.
64
Course Code : CEN 590
Course Title : ARTIFICIAL INTELLIGENCE
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course introduces representations, techniques, and architectures used to build applied
systems and to account for intelligence from a computational point of view. This course also
explores applications of rule chaining, heuristic search, logic, constraint propagation, constrained
search, and other problem-solving paradigms. In addition, it covers applications of decision trees,
neural nets, SVMs and other learning paradigms.
COURSE OBJECTIVES
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COURSE CONTENTS
Search Algorithms
Graph Search
Constraint Satisfaction
Games
Machine Learning
Nearest Neighbors
Decision Trees
Neural Networks
SVM
Knowledge Representation and Inference (5 weeks)
Propositional and First Order Logic
Rule-based Systems
Natural Language
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Mid-Term exam
Report
Final Exam
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30%
30%
40%

Language of Instruction
English
Textbook(s)
Russell, Stuart J., and Peter Norvig. Artificial intelligence: a modern approach. 2nd edition. Upper
Saddle River, NJ: Prentice Hall, 2003. ISBN: 0137903952.
Additional References
http://airesources.blogspot.com/
http://archive.comlab.ox.ac.uk/comp/ai.html
65
Course Code : CEN 591
Course Title : NEURAL NETWORKS
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This course explores the organization of synaptic connectivity as the basis of neural computation
and learning. Perceptrons and dynamical theories of recurrent networks including amplifiers,
attractors, and hybrid computation are covered. Additional topics include backpropagation and
Hebbian learning, as well as models of perception, motor control, memory, and neural
development.
COURSE OBJECTIVES
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COURSE CONTENTS
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Perceptrons: Simple and Multilayer, Perceptrons as Models of Vision
Linear Networks, Retina
Lateral Inhibition and Feature Selectivity, Objectives and Optimization
Hybrid Analog-Digital Computation, Ring Network, Constraint Satisfaction
Stereopsis, Bidirectional Perception, Signal Reconstruction
Hamiltonian Dynamics, Antisymmetric Networks, Excitatory-Inhibitory Networks,
Learning
Associative Memory, Models of Delay Activity , Integrators, Multistability
Clustering, VQ, PCA, Delta Rule, Conditioning, Backpropagation
Stochastic Gradient Descent, Reinforcement Learning
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Mid-Term exam
Report
Final Exam
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30%
30%
40%

Language of Instruction
English
Textbook(s)
Hertz, John, Anders Krogh, and Richard G. Palmer. Introduction to the Theory of Neural
Computation. Redwood City, CA: Addison-Wesley Pub. Co., 1991. ISBN: 9780201515602.
Koch, Christof. Biophysics of Computation: Information Processing in Single Neurons. New York,
NY: Oxford University Press, 2004, ISBN: 9780195181999
Additional References
 Press, William H., Saul A. Teukolsky, William T. Vetterling, and Brian P. Flannery.
Numerical Recipes in C: The Art of Scientific Computing. New York, NY: Cambridge
University Press, 1992, ISBN: 9780521431088
 Strang, Gilbert. Introduction to Applied Mathematics. Wellesley, MA: WellesleyCambridge Press, 1986, section 4.2, pp. 290-309. ISBN: 9780961408800
66
Course Code : CEN 592
Course Title : PATTERN RECOGNITION
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
This class deals with the fundamentals of characterizing and recognizing patterns and features of
interest in numerical data. We discuss the basic tools and theory for signal understanding
problems with applications to user modeling, affect recognition, speech recognition and
understanding, computer vision, physiological analysis, and more. We also cover decision theory,
statistical classification, maximum likelihood and Bayesian estimation, nonparametric methods,
unsupervised learning and clustering. Additional topics on machine and human learning from
active research are also talked about in the class.
COURSE OBJECTIVES
-
COURSE CONTENTS
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Introduction to Pattern Recognition, Feature Detection, Classification
Review of Probability Theory, Conditional Probability and Bayes Rule
Random Vectors, Expectation, Correlation, Covariance
Review of Linear Algebra, Linear Transformations
Decision Theory, ROC Curves, Likelihood Ratio Test
Linear and Quadratic Discriminants, Fisher Discriminant
Sufficient Statistics, Coping with Missing or Noisy Features
Template-based Recognition, Feature Extraction
Eigenvector and Multilinear Analysis
Training Methods, Maximum Likelihood and Bayesian Parameter Estimation
Linear Discriminant/Perceptron Learning, Optimization by Gradient Descent
Support Vector Machines , K-Nearest-Neighbor Classification
Non-parametric Classification, Density Estimation, Parzen Estimation
Unsupervised Learning, Clustering, Vector Quantization, K-means
Mixture Modeling, Expectation-Maximization
Hidden Markov Models, Viterbi Algorithm, Baum-Welch Algorithm
Linear Dynamical Systems, Kalman Filtering , Bayesian Networks
Decision Trees, Multi-layer Perceptrons
Reinforcement Learning with Human Interaction , Genetic Algorithms
Combination of Multiple Classifiers "Committee Machines"
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Mid-Term exam
Report
Final Exam



30%
30%
40%

English
Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic
Approaches, Menahem Friedman, Abraham Kandel, World Scientific Publishing Company, 1998
ISBN-10: 9810233124
Additional References
67
Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches by
Menahem Friedman, Abraham Kandel, World Scientific Publishing Company.
Pattern Classification (2nd. Edition) by R. O. Duda, P. E. Hart and D. Stork, Wiley 2002.
Pattern Recognition and Machine Learning by C. Bishop, Springer 2006.
Statistics and the Evaluation of Evidence for Forensic Scientists by C. Aitken and F. Taroni, Wiley,
2004
Duda, Richard O., Peter E. Hart, and David G. Stork. Pattern Classification. New York, NY: John
Wiley & Sons, 2000. ISBN: 9780471056690
http://www.prtools.org/
http://ocw.mit.edu/OcwWeb/Media-Arts-and-Sciences/MAS-622JFall2006/CourseHome/index.htm
68
Course Code : CEN 593
Course Title : EVOLUTIONARY COMPUTING
Level : Graduate
Year :
Status : Elective
Hours/Week : 3
Semester : I-II
ECTS Credits : 7,5
Total Hours : 45
Course Coordinator :
COURSE DESCRIPTION
The course provides basic knowledge of biologically inspired methods in computer science, such
as genetic algorithms, genetic programming, and artificial life. These methods are both relevant to
technical applications, for example, in optimization and design of autonomous systems, and for
understanding biological systems, e.g., through simulation of evolutionary processes.
COURSE OBJECTIVES
-
COURSE CONTENTS
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Biological evolution: Introduction and basic properties
Fundamentals of genetic algorithms: Representations, genetic operators, selection
mechanisms
Theory of genetic algorithms: The schema theorem and the onemax problem
Different versions of evolutionary algorithms, with particular emphasis on genetic
algorithms
Computer program development (using Matlab) for evolutionary algorithms
Experiment design (with emphasis on the use of evolutionary methods)
Advanced topics: Boltzmann selection, messy encoding schemes, variable-structure
encoding schemes
Diffusion models, subpopulation-based evolutionary algorithms
Applications of evolutionary algorithms: Function optimization, data mining,
Evolving neural networks, scheduling, the traveling salesman problem,
Interactive evolutionary algorithms
TEACHING/ASSESSMENT
Description
Teaching Methods
Lectures, Presentations, Research, Discussion
Description (%)
Student Assessment
Methods
Learning outcomes
Language of Instruction
Textbook(s)
Mid-Term exam
Report
Final Exam



30%
30%
40%

English

A.E. Eiben and J.E. Smith, Introduction to Evolutionary Computing, Springer, 2003,
ISBN 3-540-40184-9
Additional References
 K.A. De Jong, Evolutionary computation: a unified approach. MIT Press, Cambridge
MA, 2006
http://www.informatics.sussex.ac.uk/research/groups/easy/MSc/LectureNotes.html
http://www.soft-computing.de/link.html