Academic year
2018-19
Is found in:
- International Curriculum, programme stage 3
This is a single course unit.
Study load:
3 credits
Weight:
3,00
Total study time: 75,00 hours
Possible deadlines for learning account: 01.12.2018 ()
Organisation of education
This course unit is marked out of 20 (rounded to an integer).
Re-sit exam: is possible.
It is not possible to enrol in this course unit under
- exam contract (to obtain a credit).
- exam contract (to obtain a degree).
Special admission is required to enrol in this course unit under credit contract.
Co-ordinator: Lievens Stijn
Language course: No
Languages: English
Scheduled for: Semester 1
Objectives
Is able to recognize and explain the structure and operation of the different types of software agents.
Is able to apply different search algorithms on discrete, static and single agent environments.
Is able to determine the minimax value of a state in a two person zero sum game using the minimax algorithm and/or alpha-beta pruning.
Is able to apply local and heuristic search methods without relying on specialized software.
Is able to distinguish between the most important types of machine learning.
Is able to apply a method for unsupervised learning in order to solve a clustering problem without relying on specialized software.
Is able to apply a method for solving a supervised learning problem without relying on specialized software
Contents
Software agent paradigm
Search algorithms
Adversarial search
Local search and genetic algorithms
Machine learning: supervised learning
Unsupervised learning
Order of enrolment
There are no prerequisites for this course.
Prerequisites
Advanced knowledge of software development.
Basic knowledge of data structures
Final objectives
| The student is able to reflect with an inquiring and discerning attitude in order to develop efficient solutions |
Teaching methods
Learning dialogue
Practice session
Study guidance
Individual learning problems may be reported to the lecturer and will be remedied.
Evaluation
Evaluation(s) for first exam chance
| Moment | Form | % | Remark |
| Periodic | Written examination | 100,00 | |
Evaluation(s) for re-sit exam
| Moment | Form | % | Remark |
| Periodic | Written examination | 100,00 | |
Other study materials
Via Chamilo: lecture notes. Additional documents are distributed through the electronic learning environment.
Study costs
The lecture notes and documents may be printed by the students at their own expense. Approximately 20 EUR.