Weekly outline

  • 1 October - 7 October

    Introduction
    Overview of the course & objectives and introduction to Data Science
    Nature inspired computation
    Genetic algorithms

    Practical sessions start the 3rd week of the semester.

    • 8 October - 14 October

      LECTURES:

      Genetic algorithms

      • 15 October - 21 October

        LECTURES:

        Swarm intelligence,
        Ant colony optimization

        LABS:

        An introduction to R

        • 22 October - 28 October

          LECTURES:

          Predictive modeling:
          • bias and variance,
          • simple prediction models: kNN

          LABS:

          - Data visualization, genetic algorithms

          • 29 October - 4 November

            LECTURES:

            Speeding-up similarity search
            Simple prediction models: decision rules

            NO LABS THIS WEEK

            • 5 November - 11 November

              NO  LECTURES tHIS WEEK BUT

              Read Chapter 4 Classification in the Introduction to statistical learning.


              LABS:

              - Predictive modeling

              • 12 November - 18 November

                 LECTURES:
                Future evaluation and selection 


                LABS:

                - Clustering, attribute evaluation


                • 19 November - 25 November

                  LECTURES: Ensemble learning

                  LABS:

                  -Combining classification algorithms (ensemble methods)


                  • 26 November - 2 December

                    LECTURES: Kernel methods and neural networks

                    LABS:

                    - Neural networks with Keras

                    - Code will be posted after the exercises

                    • 3 December - 9 December

                      LECTURES: Natural language processing 1/2

                      LABS: text mining

                      • 10 December - 16 December

                        LECTURES: Natural language processing 2/2

                        LABS:

                        • 17 December - 23 December

                          LECTURES: Reinforcement learning 1/2

                          LABS: Text mining 2

                          • 24 December - 30 December

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


                            • 31 December - 6 January

                               We wish you a Merry Christmas and a Happy New Year


                              • 7 January - 13 January

                                LECTURES: Reinforcement learning 2/2

                                LABS: Reinforcement learning


                                • 14 January - 20 January

                                  Lectures: Agents and multiagent systems

                                  LABS: Assignment 2 presentations