Semester:SS 23
Type:Exercise
Language:English
Scheduled in semester:4
Semester Hours per Week / Contact Hours:30.0 L / 22.5 h
Self-directed study time:49.5 h
Type:Exercise
Language:English
Scheduled in semester:4
Semester Hours per Week / Contact Hours:30.0 L / 22.5 h
Self-directed study time:49.5 h
Module coordination/Lecturers
- Dr. Janine Hacker
(Modulleitung)
- Dr. Giovanni Apruzzese
(E-Learning Admin)
Curricula
Bachelor's degree programme in Business Administration (01.09.2021)Description
- Introduction (e.g., data, information and knowledge; tasks of information management)
- Managing information (e.g., information economics; managing information demand and supply)
- Managing information systems (e.g., databases, data warehousing, SQL)
- Data mining (e.g., machine learning basics, recommender systems, text mining)
- Managing information and communication technology (e.g., cloud computing, predicting ICT trends and developments)
Qualifications
- covered in lecture
- apply information management methods, tools, and systems to solve simple tasks
- compare and contrast information management methods and tools
- compare and contrast components and functions of information management systems (e.g., databases; data warehouses)
- evaluate information management methods, tools, and systems
- develop comprehensive plans to solve information management problems
- actively listen to lecturers and fellow students
- collaborate in order to solve complex exercises
- justify their solution approaches and results
- learn in study groups
- support each other in lectures, exercises, and self-study (e.g., by forming and contributing in study groups)
- repeat the contents of lectures and exercises in a self-organized way
- assess their own learning progress during lectures, exercises, and self-study (e.g., participation in discussions, solving exercises, presenting solutions)
- identify their own strengths and weaknesses
- tolerate different opinions and working styles (e.g., during classroom discussions, in online forums)
Literature
Relevant literature will be announced in class.
Exam Modalities
- 1 short examination 33,3%
- 1 short examination 33,3%
- 1 short examination 33,3%