Computational Intelligence

This course introduces artificial intelligence techniques that focus on learning, optimization and self organisation. We cover numerical techniques that can be grouped as computational intelligence including:

• Neural networks

• Evolutionary Computing

• Reinforcement learning

The final grade of the course consists of the following components:

• Written Examination (50%)

• Group Practical Assignments (50%)

Final grade calculation: (0.5 * Written Examination + 0.5 * Group Practical Assignments)

Both the written exam and the group assignments need to be completed with a minimum of a 5.0

Practicum and exam are PARTS of you final grade and will not considered as separate grades in OSIRIS. Only your final grade for a year will be registered.

For the exact calculation of the final grade, please see the sheets of the introductory lecture.

Permitted Materials during Test: Calculator, pen and paper .

Resit en Repair

The written exam has one resit in the same academic year.

If the final grade of the group (lab) assignments is between 4.0 and 5.7 , the group can choose one of the three assignments for resubmission.

The group can get any grade for the repair assignment, but the final lab grade will not exceed 6.0.

Group members can decide if they want to join the repair attempt or not.

The deadline for resubmitting the chosen assignment will be about two weeks after the final exam.

Disclaimer: information may change depending on unforeseen circumstances or measures (see: TER Art 29, sub 4).