CS-E5340 Introduction to Industrial Internet
Spring 2017 (5 cr)
SYLLABUS
Version 0.85 (22.2.2017)
Instructor’s contact information
Course information
Prof. Martti Mäntylä
Academic Year: 2016-2017
E-mail: [email protected]
Period: IV
Office: K1 222
Course Website:
https://mycourses.aalto.fi/course/view.p
hp?id=13117
Office hours: TBA
Course assistant’s contact information
B.Sc. Richard Meyer
E-mail: [email protected]
Office: K1 239b
Office hours: TBA
Overview
The course will cover the central topics of Industrial Internet, including:
-
Basic concepts
Relevant technologies of the digitalization stack
Analytics and digital services
Applications in digital manufacturing
New business models
Management and governance, policy issues
The course consists of lectures with plentiful guest speakers from industry, giving
practical case studies. Students are also expected to complete weekly assignments
and a two-person project. Please note that there is no course book and the reading
materials do not cover all of the topics discussed on the lectures. The discussion at
the classes is, in part, intended to help students to form the ‘big picture’ between
and over the different readings and lectures.
Prerequisites
CS-E5300 Enterprise Systems Architecture (strongly recommended).
Bachelor’s studies in a relevant field, such as Computer Science, Mechanical
Engineering, or Electrical Engineering are required. Basic studies in modern
Information and Communications Technologies are recommended.
Learning Outcomes
The students will learn about the general "big picture" of the Industrial Internet, its
key technologies across the stack, and the opportunities it offers in various
industrial domains.
Schedule
# Wk Date
1 8
Lecture topics
23.2.2017, Introduction, course
14-16, T2 practicalities
- Martti Mäntylä
Suggested
readings
Project and
weekly
assignments
[Porter 2014]
Assignment A
published
23.2.2017
[Porter 2015]
A1. Industrial Internet:
The big picture
- Martti Mäntylä
2 9
2.3.2017,
14-16, T2
A2. Industrial Internet
architectures (RAMI,
IIC, IDS)
- Martti Mäntylä
Case Valmet
[PWC 2015]
[IIRA 2017]
[Fraunhofer
2016]
- Mika Karaila
3 10
9.3.2017,
14-16, Y
205C
B1. Industrial internet
and digital services
- Martti Mäntylä
Analytics and big data
- Jaakko Hollmén
Case: Demand
flexibility in energy
[Gassman et al.
2014]
Submit project
confirmations by
6.3.2017
Submit assignment
A by 8.3.2017
Assignment B
published
9.3.2017
services
- Sanna Syri
4 11
16.3.2017, B2. Digital
14-16, T2 manufacturing: Case
Fastems
- Tomi Kankainen
Case Valmet
Automotive
- Mikko Itäranta
3D printing
- Jukka Tuomi
5 12
23.3.2017, B3. New business
14-16, Y
models
205C
- Olli-Pekka Nieminen,
Konecranes
Submit project
mid-term report
by 20.3.2017
Digital platforms
- Ville Eloranta
6 13
30.3.2017, C. Industrial Internet
14-16, Y
governance
205C
- Kari Hiekkanen
Policy issues of
Industrial Internet
Submit assignment
B by 29.3.2017
Assignment C
published
30.3.2017
- Nomi Byström
7 16
20.4.2017, Seminar on student
14-18, TU project results
1
Submit peer
reviews of three
fellow student
assignments by
5.4.2017
Submit project
final report by
17.4.2017
Submit assignment
C by 19.4.2017
Assessment and Grading
The grading is based on weekly assignments (1/3 of the grade) and an essay based
on a project (2/3 of the grade). There will be no exam.
Weekly Assignments
There will be 3 weekly assignments based on lecture. Each assignment will be
graded 0-20 points. The minimum requirement to pass is 2 returned assignments
with 8 points or more.
Project
Students are expected to complete a small project on a given topic or a topic of their
choosing and confirmed by the instructor. Projects will be performed in teams of
two students.
Possible topics can include:
1. Case studies of enabling technologies (ICT tools / platforms / methods)
intended for industrial internet applications.
2. Case studies describing the application of industrial internet in a concrete
company / industry case.
3. Specific studies suggested by industrial firms for the course.
4. Students can also choose their own topic within their own area of expertise
or interest.
Topic confirmations (max 1 A4 page) should be submitted electronically to
MyCourses by March 6. After confirmation, a mid-term report (3-5 pages)
describing the progress of the work is expected by March 20. The final deliverables
of the project should be submitted by April 17. The expected final deliverables
consist of an essay (max 15 pages) and a slide presentation (max 3 slides)
summarizing the key findings of the study.
After the course proper, a separate workshop will be organized on April 20 on the
project results where all teams can present their 3-slide summaries in a 7-minute
presentation followed by short discussion.
Reading Materials
Reading materials for the course give additional depth to the lectures and the
project.
[Acatech 2013] Acatech, Recommendations for implementing the strategic
initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 Working Group,
2013.
[Evans 2012] Peter C. Evans ja Marco Annunziata, Industrial Internet: Pushing
the Boundaries of Minds and Machine”, GE, November 26, 2012.
[Ailisto et al. 2015] Finland—The Silicon Valley of Industrial Internet,
Publications of the Government’s analysis, assessment and research activities
10/2015.
[Porter 2014] Porter, Michael E. ja Heppelmann, James E. How Smart,
Connected Products Are Transforming Competition. Harvard Business Review.
November 2014.
[Porter 2015] Porter, Michael E. ja Heppelmann, James E. How Smart,
Connected Products Are Transforming Companies. Harvard Business Review.
October 2015.
[PWC 2015] Industry 4.0 – Opportunities and Challenges of the Industrial
Internet, PWC, 2015.
[VDI 2015] Reference Architecture Model Industrie 4.0 (RAMI 4.0), VDI 2015,
http://www.zvei.org/Downloads/Automation/5305%20Publikation%20GM
A%20Status%20Report%20ZVEI%20Reference%20Architecture%20Model.
pdf.
[IIRA 2017] The Industrial Internet of Things Volume G1: Reference
Architecture, Industrial Internet Consortium, 2017,
https://www.iiconsortium.org/IIC_PUB_G1_V1.80_2017-01-31.pdf.
[Fraunhofer 2016], Industrial Data Space, White Paper,
http://www.industrialdataspace.org/wpcontent/uploads/2016/09/whitepaper-industrial-data-space-eng.pdf.
Oliver Gassmann, Karolin Frankenberger, and Michaela Csik, St. Gallen
Business Model Navigator, Working Paper, University of St. Gallen,
http://www.bmilab.com/fileadmin/images/home/The_St.Gallen_Business_
Model_Navigator.pdf.
Jari Collin ja Ari Saarelainen, Teollinen internet, Talentum 2016.
Course Workload
Classroom hours + lecture self-reflection
12h + 25,5h
Project
50h
Weekly assignments
50h
Total
137,5h (5 cr)
Ethics
Aalto University Code of Academic Integrity and Handling Thereof
Speaker Bios
Martti Mäntylä
Dr. Martti Mäntylä is Professor of Information Technology with
dual appointment to the Department of Computer Science in the
School of Science and the Department of Mechanical Engineering in
the School of Engineering at Aalto University.
Mäntylä’s main current research interest is digitalization in
industry, especially the Industrial Internet. His other research
interests include user-centric and data intensive methods for digital
service innovation and design, especially large-scale field
experiments, and product models for computer-aided design and
manufacturing.
Mäntylä was appointed full professor in 1987 at the Helsinki University of Technology
(now Aalto University). From 1999 to 2008 he was the founding Director of the
Helsinki Institute for Information Technology (HIIT), a joint research centre of
Helsinki University of Technology and University of Helsinki. From 2009 until end of
2013 he was the Chief Strategy Officer of EIT ICT Labs, the Knowledge and Innovation
Community (KIC) in information society of the European Institute for Innovations and
Technology (EIT). During his career, Mäntylä has been a visiting researcher at
Stanford University, IBM Research, and Fraunhofer Institute.