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Systems Analysis and Design (VT IMIT)

Systems Analysis and Design (VT IMIT)

Studiengänge
Bachelorstudiengang Betriebswirtschaftslehre (BSc BWL 21) (01.09.2021)
  • Foundations of software engineering
  • Introduction to programming in Phyton
  • 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
  • Group Project
  • Basics of Networking
Lernergebnisse The students...
Fachkompetenz
  • list methods of software engineering (e.g., waterfall model, agile methods)
  • list relational and object-oriented approaches to modeling (e.g., ERM, UML)
  • understand the elements of different modeling languages (e.g., ERM, UML)
  • understand key concepts of SQL
  • understand key concepts of object-oriented programming (e.g., classes, attributes, methods, relationships, inheritance)
  • create data and system models (e.g., ERM, UML)
  • perform normalization of database tables
  • write queries in SQL
  • write simple object-oriented programs
  • compare and contrast key programming structures (e.g., data structures, control structures)
  • identify best practices of software engineering and programming (e.g., design patterns, quality factors)
  • design object-oriented applications by applying the methods learned
  • choose appropriate methods for given tasks
Methodenkompetenz
  • reproduce the contents of software engineering and programming cases
  • describe various problems and the appropriate solutions as encountered in the cases
  • explain the differences and similarities of various methods of software engineering by means of case studies
  • explain the differences and similarities of relational and object-oriented approaches to modeling using case studies
  • explain the differences and similarities of various data and control structures of programming
  • solve case studies with the help of the learned concepts and methods
  • apply IDE and CASE tools
  • analyze complex issues and identify appropriate concepts and methods for their solution
  • create simple object-oriented programs
  • apply best practices (e.g. design patterns, CASE tools, quality factors)
  • explain basics of networking (sockets, protocols)
Sozialkompetenz
  • listen to students and their ideas and opinions
  • work in teams to develop solutions to complex problems
  • evaluate ideas from team members
  • take responsibility in a team
  • distribute tasks in teams
  • assign task according to skills of team members
  • justify solutions in front of team members and teachers
Selbstkompetenz
  • 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)
  • 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)
  • support each other in lectures, tutorials, group work and self-study (e.g. in the discussion forum)
Technologiekompetenz
  • Python, MYSQL
Voraussetzungen (formal)
Enrollment from WS23/24
These admission requirements:
  • To register for modules in the specialization, the modules Statistics, Business Mathematics, and English I must have been successfully completed.
  • In addition, the module Information Systems must be successfully completed in order to register for the IMIT specialization.

Enrollment before WS23/24
Either the above admission requirements or:
  • To register for fifth semester modules, all modules from the first year of study must be successfully completed.
  • Elective courses are not taken into account for these regulations.
Modulnummer:
6010812
Semester:
WS 25/26
ECTS-Credits:
6
Lehre:
56 L / 42 h
Selbststudium:
138 h
Language:
Englisch
Plansemester:
5