Teaching Experience

  • Data Science with R (seminar)
    • Master level course
    • Held in winter 2018/19, summer 2020, summer 2021
    • Supervised student projects:
      • Analysis of Finance-related Reddit Communities
      • Classifying Whether Twitter Authors Spread Hate Using Supervised Learning
      • Multi-Perspective and Predictive Analysis of Forests: Issues, Challenges and Global Trends
      • Effect of COVID-19 Induced Lockdown on Mental Wellbeing of Students Attending Online Classes
      • Trends in Programming Language Popularity
      • Behavioral and Psychological Distress of COVID-19 and Infodemics
      • The Impact of NBA Player-related Social Media Posts on Their On-court Performance - An Analysis
      • Weather Data Analysis: Using Machine Learning Models and Trend Analysis Methods
      • Help in Yelp: Decision Support System For New Business Ventures
      • Asteroid diameter prediction using NASA jet propulsion lab dataset
      • COVID-19 Prediction using Explainable Machine Learning
      • Market Research for Supermarket Customer Loyality Improvement
      • Multi-label Classification of News Articles on Coronavirus
      • Analysis and Predictions of the Impact of COVID-19
      • Clustering and Pattern Discovery of Github Project Repositories
      • Customer Behavioural Analytics in the Retail Sector
      • Analysis and Tag Prediction for Stack Overflow Posts
      • Machine Learning for Automatic Vulnerability Detection in Cyber Security
      • Identification of Predictors for Climate Change Effects
      • Streaming Topic Model and Visualization for Twitter
      • Multi-Label Classification of Legal Text Documents
      • Analyzing Trajectory Data to Understand the Effects of Video Games on Human Short- and Long-Term Memory
      • Exploring Location-Based Social Network Data from Foursquare Predictive Policing for EDA on the Dallas Crime Dataset
      • “Make the Liver Great Again” - Regression for High-Dimensional Longitudinal Cohort Study Data
  • Data Mining I - Introduction to Data Mining (exercise class)
    • Master level course
    • Held in summer 2019, summer 2020, summer 2021, summer 2022
  • IT in Organizations (exercise class)
    • Bachelor level course (in German)
    • Held in winter 2017/18, 2018/19, 2019/20, 2020/21, 2021/22
  • Visual Analytics (exercise class)
    • Master level course (in German)
    • Held in summer 2017, summer 2018
  • Computer Aided Diagnosis & Therapy (exercise class)
    • Bachelor level course (in German)
    • Held in winter 2016/17
  • + Supervision of student team projects and seminar papers
    • Bachelor and Master level
    • Since 2015