Semester Schedule

M1: Week 36-38

Topics

  • W 36: Data Manipulation, Exploratory Data Analysis (EDA), Data Visualization
  • W 37: Unsupervised Machine Learning (UML), Supervised Machine Learning (SML)
  • W 38: Workshop & project work

M2: Week 39-41

Topics

  • W 39: Introduction to Network Analysis
  • W 40: Introduction to Natural-Language-Processing (NLP)
  • W 41: Workshop & project work

M3: Week 43-46

Topics

  • W 43: Introduction to Artificial Neural Networks (ANN) & Deep Learning (DL)
  • W 44: Neural networks for spatial data: Recurrent Neural Networks (RNN)
  • W 45: Neural Networks for sequential data: Recurrent Neural networks (RNN & LSTM)
  • W 46: Workshop & project work

Key Dates

  • In-person workshops on CBS campus (always Thursday + Friday)

    • 1: W38: Machine learning case studies
    • 2: W41: Advanced applications in Network and Text Analysis
    • 3: W46: Advanced applications & outlook in deep learning

  • Individual assignment (2 out of 3 need to be passed):

    • 1: 24.-29.09.2021, 23:59:00 at the latest (Peergrade)
    • 2: 15.-20.10.2021, 23:59:00 at the latest (Peergrade)
    • 3: 19.-24.09.2021, 23:59:00 at the latest (Peergrade)

  • Final exam: 15.12.2021