Duration
30h Th
Number of credits
| Master in psychology (120 ECTS) | 3 crédits |
Lecturer
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
A series of quantitative approaches used to represent psychological phenomena with a particular focus on neural networks will be presented. The main topics are: the history of algorithmic and mathematical approaches, simulation of intelligent behavior, modeling of intellectual plasticity with networks (Bayesian, semantic, slipnet), Neural networks, the challenges facing connectionist approaches and their correspondents in the organization of the mind, deep networks, representation of forms and their matching, artificial life. The different concepts will be presented with examples and applications on a computer.
Learning outcomes of the learning unit
The course must provide to the student a series of basic concepts used in the study of cognitive phenomena and give her useful elements for the formalization of a number of intellectual processes. Moreover, students will be able to program with matlab different algorithms and structures including deep networks composed of convolution, pooling and standard backprop layers.
Prerequisite knowledge and skills
Basic mathematical concepts (graph, function, basic operations on matrix) - General cognitive Psychology
Planned learning activities and teaching methods
The course takes different forms: lectures, programming exercises with matlab.
Mode of delivery (face-to-face ; distance-learning)
Face-to-face, using smartboard and recording of audio and presentation screens.
Recommended or required readings
Copies of slides, notes on specific topics and an optional reading list are provided.
Assessment methods and criteria
Participation in computer labs, presentation of a personal work and oral exam with prior written preparation on the subjects covered in the course. Students will be judged on their ability to identify appropriate quantitative approaches to the study of the mind, to perceive their limits and to apply accurately and rigorously the methods presented in the course.
Work placement(s)
Organizational remarks
Contacts
D.Defays (ddefays@ulg.ac.be)
J.Sougné (jsougne@ulg.ac.be)