Technology and management of Information Systems


Information systems management
Contact hours
27 H
Number of spots
Open to visitors

Pedagogical contribution of the course to the program

No educational contribution associated with this course for this program.


The aim of the course is to provide information and knowledge on the modern Information systems and relevant technologies. It is supposed to proceed with the definition of the main features of Information systems and Technology management. Therefore, we will proceed with a discussion of some issues of Technology management in context of information systems. The course will show some possible application of existing Technology management approaches to information systems and strategic planning activities. A particular technique “Extrapolation with S-curves” will be introduced for supporting case studies. Practical workshops will be proposed for individual and group exercises, with and without the use of dedicated software.

Teaching methods


- Lectures
- Tutorials

In group

- Exercises


- Discussions/debates


No items in this list have been checked.

Learning objectives

Cognitive domain

Upon completion of this course, students should be able to
  • - (level 1) recall Technology management methods
  • - (level 1) define Information system in practical context
  • - (level 3) employ methodology of fitting time-series data with logistic S-curve model
  • - (level 6) construct an interpretation of results useful for strategic decision-making

Affective domain

Upon completion of this course, students should be able to
None affective domain have been associated with this course yet


1. Introduction 2. Information, Systems and Management 3. IT infrastructure and emerging technologies 4. Technology Management 5. Case studies: extrapolation using S-curves for supporting strategic decisions 6. Roadmapping Information Systems

No prerequisite has been provided

Knowledge in / Key concepts to master

Consistent knowledge in using office software (e.g., MS Word, MS Excel, MS PowerPoint); practical skills for data and information retrieval.

Teaching material

Mandatory tools for the course

- Computer

Documents in all formats

- Case studies/texts
- Worksheets

Moodle platform

- Upload of class documents
- Assessments


- Other : Loglet Lab 4.0 (available via Internet)

Additional electronic platforms

No items in this list have been checked.

Recommended reading

1. Hinton M., (2006) Introducing Information Management : The business approach. Taylor & Francis, ISBN 978-0-7506-6668-8 2. T. Modis, Natural Laws in the Service of the Decision Maker: How to Use Science-Based Methodologies to See More Clearly further into the Future. Growth Dynamics, 2013. 3. Meyer, P.S., Yung, J.W. and Ausubel, J.H. (1999) A Primer on Logistic Growth and Substitution: The Mathematics of the Loglet Lab Software. Technological Forecasting and Social Change, 61(3), 247-271.

No reading material has been provided.

EM Research: Be sure to mobilize at least one resource

Textbooks, case studies, translated material, etc. can be entered
No reading material has been provided.


List of assessment methods

Final evaluationLast class
Written and oral (20 Min.) / Individual / English / Weight : 100 %
Details : - Oral: presentation of project results by working teams (40%) - Oral: individual questions about course content (40%) - working during the course (20%)
This evaluation is used to measure ILO2.2-PGE, ILO2.3-PGE
No assessment methods have been attributed to this course yet.