wir891 Complex Data Analysis (Course overview) - Campusmanagementsystem Stud.IP

wir891 Complex Data Analysis (Course overview)

Department of Business Administration, Economics and Law (Business Administration and Business Education)

6 KP

Module components

Semester courses Summer semester 2024

Examination

Lecture

2.02.227 - Complex Data Analysis
- PD Dr. Ralf Werner Stecking
- Wednesday, 10:00 - 12:00, Weekly (from 03.04.24)

Seminar

2.02.228 - Exercise: Complex Data Analysis
- PD Dr. Ralf Werner Stecking
- Tuesday, 12:00 - 14:00, Weekly (from 02.04.24)

Hinweise zum Modul

Prüfungszeiten	Am Ende der Vorlesungszeit
Module examination	Klausur mindestens 60 Minuten oder Mündliche Prüfung mindestens 15 Minuten oder Hausarbeit oder Referat
Skills to be acquired in this module	With successful completion of the course, students shall be able to analyze complex empirical data sets, like aggregated data, privacy constrained data, distance information, distributions, tables, symbolic or granular data. Students will also learn to handle issues of big data challenges: large number of cases or variables, unknown dependencies, redundancy, missing values, small or no variance. In this course students will learn theoretical aspects of complex data analysis, as well as practical applications for real data sets with statistical software packages.