4406687: Systems Analysis and Design - Exercise course

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Semester:WS 17/18
Scheduled in semester:5
Semester Hours per Week / Contact Hours:30.0 L / 22.5 h
Self-directed study time:37.5 h

Module coordination/Lecturers


Bachelor's degree programme in Business Administration (01.09.2012)


  • Foundations of software engineering
  • Introduction to programming (learning environments Scratch and Greenfoot)
  • Relational data modeling (Entity-Relationship Models (ERM), Structured Query Language (SQL), Relational Databases)
  • Object-oriented systems modeling (Object Orientation, Unified Modeling Language (UML))
  • Best practices of software engineering and programming
  • Case studies


    • Reproduce the contents of case studies on system analysis and design (e.g., context, problem, solution, results)
    • discuss case studies against the context of the learned models and methods
    • solve a variety of tasks using the methods learned
    • compare the output of different problems and solutions and identify opportunities for improvement
    • evaluate developed solutions in terms of their success and sustainability
    • Listen to the teacher and their fellow students
    • work in groups to solve case studies and help each other
    • assess themselves and their team work in terms of cooperation, communication and conflict resolution
    • develop their social skills in solving the case studies and adapt these skills according to the team
    • support their team members
    • tolerate the opinions of other students, even if they contradict one's own understanding (e.g., in case study discussion or discussion forums)
    • independently and reliably repeat the contents of the lecture (esp., exercises and case studies)
    • assess their progress and their involvement in the lectures, the exercises and in self-study (e.g., participation in classroom discussions, success in solving the exercises)
    • identify their strengths and weaknesses and adjust their commitment accordingly (e.g., repetition of the lecture)

Lectures Method

interactive lecture, case studies, presentations and discussions in groups


  • Gries, P., Campbell, J., & Montojo J. (2013). Practical Programming: An Introduction to Computer Science Using Python 3. Pragmatic Bookshelf: Frisco, TX, USA.

Exam Modalities

  • 4 short written exams