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Analysis, Modeling and Design in IS

  • Teacher(s):  
  • Course given in: English
  • ECTS Credits:
  • Schedule: Spring Semester 2017-2018, 4.0h. course (weekly average)
      WARNING :   this is an old version of the syllabus, old versions contain   OBSOLETE   data.
  •  sessions
  • site web du cours course website
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Many organizations are currently undergoing digital transformation. They actively look for opportunities to radically change their business models and their way of working through digital technologies, in particular social media, mobile, analytics and cloud computing (SMAC). At the same time, the complexity of corporate IT landscapes has been steadily growing, and keeping pace with an everchanging business and technology environment is challenging. In response, architectural considerations have become a key concern for IT departments in their digital transformation initiatives.

This course introduces students to the systematic planning and architecting of enterprise-wide, mission-critical information systems. It will provide the foundational knowledge needed for analyzing, modeling and designing information systems, based on enterprise architecture concepts.

Upon completion, students will be able to

    • understand the importance of architecture thinking in digital transformation,
    • analyze and document an enterprise in its current and target state from an integrated business and technology perspective,
    • systematically capture and model business requirements and translate them into appropriate to-be solutions,
    • identify suitable design principles for developing the application, data and integration architecture.

    Students will apply their knowledge in case studies and modeling exercises. Guest lectures will provide in-depth insights into the approaches taken by leading companies. Case studies and guest lectures will cover examples from different industries (consumer goods industries, retail, financial industry) and illustrate different architectural challenges.


    The course is structured in three parts:

    The first part will provide a motivation for architecture thinking in digital transformation based on an introductory case study.

    The second part of the course focusses on enterprise architecture models and frameworks. Students will familiarize with contemporary enterprise architecture frameworks, such as the Zachman Framework for Enterprise Architectures or The Open Group Architectural Framework (TOGAF). Based thereon, the fundamentals of modelling the different layers of the enterprise architecture will be presented, namely strategy, process / organization, application, data, integration and infrastructure layer. Students will apply and compare different modeling notations (ArchiMate, BPMN, UML).

    The third part will apply enterprise architecture thinking to support digital transformation:

    1. Designing digital business processes and identifying business requirements (requirements analysis)
    2. Deciding on solution acquisition strategy (packaged solution / cloud solution vs. software development) and solution design
    3. Transforming and managing the evolution of business applications (application landscape planning)
    4. Managing enterprise-wide data and designing the data architecture (master data management, product information management)
    5. Fostering application integration (public APIs, middleware and application integration styles)

    This course is given in English, but students can ask questions and get answers in French.


    Class materials (copies of slides, exercices, and relevant readings) will be posted on the Moodle class website.

    The following sources provide an introduction to the topic:

    • Ross, J., Weill, P., Robertson, D. (2005): Enterprise Architecture as Strategy, Harvard Business Press
    • Lankhorst et al. (2005): Enterprise Architecture at Work – Modelling, Communication and Analysis, Springer
    • Ahlemann, F., Stettiner, E., Messerschmidt, M., Legner, C. (2012): Strategic Enterprise Architecture Management: Best Practices, Current Challenges and Future Development, Springer
    • Roth, R.M., Dennis, A., Wixom, B.H. (2013): Systems Analysis and Design, 5th Edition, John Wiley & Sons Inc.


    Students need to have basic knowledge in information systems and in process and data modeling (cf. Bachelor courses "Information Systems" and "Modèles informatiques").


    First attempt

    Written 2h00 hours
    Not allowed
    Not allowed

    The evaluation is based on two elements:

    1. a written exam at the end of the semester (50%)
    2. two mandatory assignments during the semester, including contributions to discussions and design reviews (50%)

    Specific regulations:

    • A minimum grade of 3.0 in the written exam is required to pass the course. If the grade is <3.0, the written exam will determine the final grade and the other elements (assignments and class participation) will not be taken into account.
    • The written exam is organized as a "closed book" exam. Only dictionaries are allowed.


    Written 2h00 hours
    Not allowed
    Not allowed

    In case of reexamination, the grades obtained in the assignments and class participation stay valid. A minimum grade of 3.0 in the written exam is required to pass the course (same rules apply as for the first exam session).

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