AI for Managers
Content
The online course aims to give an introduction to AI algorithms and coding exercises. Students learn to plan, implement and evaluate AI in applied settings in order to generate value from data forsociety, corporations and individuals. This serves the pressing need of firms to improve their efficiency – such as customersatisfaction, competitive advantage – by leveraging the growing amounts of structured and unstructured data. Please note that sufficient programming skills are required (e.g. R, Python).
Students
MMT
MBR
Format
Online course via zoom
Dates
- Fri 12.11.2021 08:00-20:00 zoom
- Sat 13.11.2021 08:00-20:00 zoom
- Fri 19.11.2021 08:00-20:00 zoom
- Fri 26.11.2021 08:00-20:00 zoom
Exam
Thu 09.12.2021 10:00-12:00
Registration required: 01.11.2021 – 30.11.2021
Literature
- James, Witten, Hastie & Tibshirani (2013): An Introduction to Statistical Learning: With Applications in R. Springer
- Sharda, Delen & Turban (2014): Business Intelligence: A Managerial Perspective on Analytics. Pearson
Enrolment
Moodle self enrolment, enrolment key via LSF- Teacher: Stefan Feuerriegel
- Teacher: Dennis Frauen
- Teacher: Valentyn Melnychuk
- Teacher: Katharina Riepl
- Teacher: Simon Schallmoser