Master TAL - MSc. NLP
Course Unit
Python Programming and Algorithms
UE
701
EC
2
Hours
30h
Course Description
This course introduces python programming for beginners and teach to programmers how to develop in a clever way in python.
One focus will be made on modeling methods and solutions to Artificial Intelligence problems.
To this end, we review fundamentals in algorithmic solutions by studying the following: The notions of state space search algorithms such as initial and goal states, Graph representation of these search space states.
Learning Outcome
- Ability to implement an algorithmic in python
- Ability to implement and apply classical algorithms to resolve artificial intelligence problems
Prerequisites
-
The courses for the first semester of the master do not have prerequisites other than those defined for the specialisation
Targeted Skills
- Put to work different interdisciplinary skills to the effect of creating innovative solutions
- Know how to put into place algorithmic techniques in order to effectuate linguistic analysis, statistical analysis, and knowledge processing
More Informations
Bibliography
- To be completed
Course URL – Arche
- To be completed
Link with other courses
- 801 and 901
Evaluation procedures
Number of Tests
- 2
Nature of the tests
- labs
- final exam
Group work
- in labs
Combine with other specialization
- MSc. Cognitive Sciences