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Systems Analysis and Design (VT IMIT) - Exercise

Systems Analysis and Design (VT IMIT) - Exercise

Studiengänge
Bachelorstudiengang Betriebswirtschaftslehre (BSc BWL 21) (01.09.2021)
  • Foundations of software engineering
  • Introduction to programming (Python)
  • Relational data modeling
  • Object-oriented programming
  • Best practices of software engineering and programming
  • Application of LLMs for programming tasks
  • Group Project
Lehrmethode
interactive lecture, case studies, presentations and discussions in groups
Literatur
  • Swaroop C. H. (n.d.). A Byte of Python. Retrieved from https://python.swaroopch.com/
  • Severance, C. R. (2013). Python for Everybody: Exploring Data Using Python 3. Retrieved from https://do1.dr-chuck.com/pythonlearn/EN_us/pythonlearn.pdf
  • Tim, M. (n.d.). The Free SQL Book. Retrieved from https://www.freesqlbook.com/
  • SQL Tutorial. (n.d.). SQL Tutorial [PDF]. HCOE. Retrieved from https://www.hcoe.edu.np/uploads/attachments/r96oytechsacgzi4.pdf
Lernergebnisse Die Studierenden...
Methodenkompetenz
  • 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
Sozialkompetenz
  • listen to the teacher and their fellow students
  • work in groups to solve tasks 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 group project and adapt these skills according to the team
  • support their team members
Selbstkompetenz
  • tolerate the opinions of other students, even if they contradict one's own understanding (e.g., in group project)
  • 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)
Prüfungsmodalitäten
  • Midterm Exam (50%)
  • Homework (20%)
  • Group Project (30%)
Modulnummer:
6210889
Semester:
WS 26/27
Lehre:
28 L / 21 h
Selbststudium:
39 h
Sprache:
Englisch
Plansemester:
5