Semester:WS 18/19
Type:Exercise
Language:English
Scheduled in semester:5
Semester Hours per Week / Contact Hours:30.0 L / 22.5 h
Self-directed study time:37.5 h
Type:Exercise
Language:English
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
- Prof. Dr. Markus Weinmann
(Modulleitung)
Curricula
Bachelor's degree programme in Business Administration (01.09.2012)Modules
Description
- 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
Qualifications
- 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
Literature
- 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