Weekly outline

  • General

    • About the course                                                                                                                                            

    • Lectures                                                                                                                                                 

    • Exams                                                                                                                                                

    • Lab work (general)                                                                                                                                                  

    • Additional material                                                                                                                              

  • 4. Oktober - 8. Oktober


    • Lectures
      Introduction
      Overview of the course and introduction to data science
      Nature inspired computation
      Genetic algorithms

    • Practical sessions start the 2rd week of the semester.

  • 11. Oktober - 15. Oktober


    • LECTURES:

      Predictive modeling: introduction

    • Labs:

      An introduction to R

  • 18. Oktober - 22. Oktober


    • Lectures:
      -bias and variance
      -      simple classifiers: kNN

    • Labs:

      Genetic algorithms
      - Data visualization

  • 25. Oktober - 29. Oktober


    • LECTURES:
      Speeding-up similarity search
      Simple prediction models: decision rules


  • 1. November - 5. November


    • LECTURES:
      Feature evaluation and selection

  • 8. November - 12. November


    • LECTURES:
      Ensemble learning and kernel methods

    • LABS:

      - Classification


  • 15. November - 19. November


    • LECTURES:
      Neural networks

  • 22. November - 26. November


    • LECTURES:
      Model explanation methods

    • LABS:

      - Ensemble methods

  • 29. November - 3. December


    • Lectures: cancelled this week

    • LABS:
      Ensemble models

  • 6. December - 10. December


    • LECTURES:
      Natural language processing 1/2

  • 13. December - 17. December

     

    • LECTURES:
      Natural language processing 2/2

    • LABS: Natural language processing


  • 20. December - 24. December


    • 27. December - 31. December

       We wish you a Merry Christmas and a Happy New Year!


      • 3. Januar - 7. Januar


        • LECTURES: Reinforcement learning