Semester Schedule

M1: Week 35-39

Topics

  • W 35: Introduction & landing
  • W 36: Data Manipulation, Exploratory Data Analysis (EDA), Data Visualization
  • W 37: Unsupervised Machine Learning (UML)
  • W 38: Supervised Machine Learning (SML)
  • W 39: Project work + exam

Key Dates

  • Individual assignment
    • 1: 08.-13.09.2021, 23:59:00 at the latest (Peergrade)
    • 2: 15.-20.09.2021, 23:59:00 at the latest (Peergrade)
  • Group assignment: 21.-27.09.2021 (Digital Eksamen)
  • Final exam: 29.09.2021

M2: Week 40-44

Topics

  • W 40: Introduction to Network Analysis
  • W 41: Introduction to Natural-Language-Processing (NLP)
  • W 43: Advanced applications in Network and Text Analysis
  • W 44: Project work + exam

Key Dates

  • M2 individual assignment
    • 1: 04.-07.10.2021, 23:59:00 at the latest (Peergrade)
    • 2: 12.-15.10.2021, 23:59:00 at the latest (Peergrade)
  • Group assignment: 25.10.-01.11.2021 (Digital Eksamen)
  • Final exam: 03.11.2021

M3: Week 45-48

Topics

  • W 45: Introduction to Artificial Neural Networks (ANN) & Deep Learning (DL)
  • W 46: Neural networks for spatial data: Recurrent Neural Networks (RNN)
  • W 47: Neural Networks for sequential data: Recurrent Neural networks (RNN & LSTM)
  • W 48: project work + exam

Key Dates

  • M3 individual assignment
    • 1: 17.-22.11.2021 23:59:00 at the latest (Peergrade)
  • Group assignment: 24.11.-01.12.2020 (Digital Eksamen)
  • Final exam: 03.12.2021