2017-2018 / INFO2039-2

Management Information Systems

Duration

30h Th

Number of credits

 Master in management, professional focus in law and management5 crédits 
 Master in management, professional focus in law5 crédits 
 Master in management (120 ECTS)5 crédits 
 Master in management (60 ECTS)5 crédits 

Lecturer

Ashwin Ittoo

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Course Objectives
This courses covers fundamental concepts in the management of informaton systems, such as business process modelling, business process re-engineering, user resistance and ERP systems and EPR project management.
In addition to the aforementioned theoretical concepts, it also comprises of a practical component (discussed below). 
Topics include
1. Introduction to ERP systems:

  • Information Silos/Legacy systems and the need for Enterprise Information Systems
  • Enterprise Information Systems and Organizational Structure
  • ERP (Enterprise Resource Planning) systems architecture and modules
  • SAP ERP systems
 
2. Business Processes:
  • Overview of some key business processes: Materials Management, Sales and Distribution, Finance and Control
  • Business Processes in SAP
 
3. Managing ERP System Implementation:
  • ERP implementation lifecycle (phases)
  • Strategies for going-live
  • ERP implementation critical success factors
  • Cloud ERP solutions
 
4. Business Process Reengineering (BPR):
  • BPR and ERP systems implementation
  • BPR and its relation to Total Quality Management
  • Methodologies for BPR
  • Criteria for BPR success
 
5. User Resistance and Change Management: 
  • Theoretical models and factors of user-resistance
  • Change Management

6. Data Modeling using UML:
  • Classes, properties, and types
  • Taxonomic, aggregation, composition relationships
  • Other generic relationships between classes
  • Case-study in domain-modeling
 
7. Business Process Modelling using BPMN 2.0:
  • Pools, lanes
  • Events, tasks
  • Gateways for decision-making
  • Case-study in business process modelling
 
8. Introduction to Relational Database Management:
  • Introduction to the relational model databases
  • SQL Query languages
 
9. Introduction to Predictive Methods and Big Data:
  • Introduction to supervised learning and Big Data
  • Regression and classfications
  • Demos of real-life applications
Note: we may not be able to cover all the topics due to time constraints.

Learning outcomes of the learning unit

  • Recognize the fundamental role of information systems, in particular, ERP systems, in ensuring the proper running of organizations
  • Devise a strategy to optimize an organization's business processes with information systems
  • Lead or actively participate in information systems implementation projects within organizations
  • Use information systems to monitor and improve quality control and performance
  • Communicate effectively to various stakeholders (software vendors, developers and end-users)
  • Adapt to trends and evolutions in information systems, especially those brought about by Big Data and other technological phenomena such as the IoT

Prerequisite knowledge and skills

Students should have taken (and passed) information systems courses of their earlier years, in particular, INFO2043-1 and INFO0074-1

Planned learning activities and teaching methods

Mode of delivery (face-to-face ; distance-learning)

  • Lectures
  • Practical sessions (as described above)
  • Please note that attendance is compulsory for lectures and practical sessions. Please contact the lecturer beforehand if you are unable to attend a lecture or practical

Recommended or required readings

Selected chapters from

  • Enterprise Systems for Management, by Motiwalla and Thompson, Pearson 2012
  • Integrated Business Processes with ERP Systems, by Magal and Word, Wiley, 2012
  • Lecture notes will be provided by the lecturer, and will be available on the LOL@ learning system

Assessment methods and criteria

The course will follow a continuous assessment system. The final grade will be based on a series of assignments during the course and a final written examination. Details:

  • SAP Practical (5%)
  • Data and Process Modeling Practical using UML (20%)
  • Final written exam (75%)
(May change during the course)

Work placement(s)

Organizational remarks

Contacts

Ashwin Ittoo HEC Management School - University of Liege
Assisted by:
Thierry Pironet, thierry.pironet@ulg.ac.be
Alessandro Beretta, a.beretta@ulg.ac.be

Items online

Lecture Notes
Visit the website of the course on the e-learning platform Lol@