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4809687: C19 Project Seminar

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Semester:WS 19/20
Type:Module/Course/Examination
Language:English
ECTS-Credits:6.0
Scheduled in semester:3
Semester Hours per Week / Contact Hours:58.0 L / 43.5 h
Self-directed study time:136.5 h

Module coordination/Lecturers

Curricula

Master's degree programme in Information Systems (01.09.2019)

Description

In this course, students apply acquired data science knowledge and skills to solve a real-world business problem from the area of marketing, finance, or operations.Topics may include

  • Supervised learning (regression, classification)
  • Unsupervised learningText mining
  • Social network analysis
  • Assessing model quality
  • Assessing technologies

Learning Outcomes

  • Students will analyze a real-world case through the data science lens
  • Students will collect and prepare data for later analysis
  • Students will build and evaluate statistical models
  • Students will translate statistical models into actionable results
  • Student will work together as a team

Qualifications

Lectures Method

The module integrates theoretical knowledge and practical skills in a seminar focusing on a real-world case. The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.

Exam Modalities

An attendance of min. 80% is necessary to obtain a positive grade in this course.
A final report and two presentations will be graded.

Exams

  • PWW-MA_Project Seminar (WS 19/20, bewertet)
  • PWW-MA_Project Seminar (WS 20/21, in Planung)