Study guide of JKU Linz
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Overview
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KUSSS
Auwea NG
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Economic and Business Analytics
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Elective Subjects
Inhalt
[
977ANME22
] Subject Analytic Methods
Versionsauswahl
Version
2025W
2022W
2019W
Workload
Mode of examination
Education level
Study areas
Responsible person
Coordinating university
0 / min. 10 ECTS
Accumulative subject examination
M1 - Master's programme 1. year
Economics
Wolfgang Frimmel
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Economic and Business Analytics 2025W
Learning Outcomes
Competences
These result from the subordinate elements
Skills
Knowledge
These result from the subordinate elements
These result from the subordinate elements
Subordinated subjects, modules and lectures
Module Data Warehousing
Module Data Modeling
VL Visualization
IK Algorithmics and Mathematics for Economic and Business Analytics
IK Data Science in Python for Economic and Business Analytics
KS Financial and Macroeconometrics
IK Game Theory
KS Game Theory
IK Mathematical Programming
KS Microeconometrics
KS Programming, Data Management and Visualization
IK Programming for Business Tasks
SE Seminar Analytic Methods
KV Statistical Principles of Data Science
SE Computational Logistics: Metaheuristics
SE Computational Logistics: Optimization
IK Intelligent Transportation Systems
SE Microscopic Traffic Simulation and Analysis