Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
US-B3-SCINFO-005-M | Compulsory UE | MELOT Hadrien | S825 - Algorithmique |
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
Français | 0 | 0 | 0 | 0 | 0 | 5 | 5 |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | |
---|---|---|---|---|---|---|---|---|
S-INFO-014 |
Objectives of general skills
- Understand the fundamentals of computer science
- Solve exercises and computer problems by applying basic knowledge in the various disciplines of computer science
- Use and combine knowledge from different disciplines to solve multidisciplinary problems
- Understand the fundamentals related to scientific methods
- Develop skills of abstraction and modelling through a conceptual and scientific approach
UE's Learning outcomes
The goal of this course if to initiate the students to classical fields of Artificial Intelligence. The students will be able to identify when a particular method can be applied. The course will concentrate on algorithmic aspect of Artificial Intelligence.
UE Content
See unique learning activity.
Prior experience
Knowledge of a programming language (e.g., Python ou Java) and of basic data structures (lists, trees, graphs).
Term 1 for Integrated Assessment - comments
Not applicable
Term 2 for Integrated Assessment - comments
Not applicable
Term 3 for Integrated Assessment - comments
Not applicable
Resit Assessment for IT - Term 1 (B1BA1) - Comments
Not applicable
Type of Teaching Activity/Activities
AA | |
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S-INFO-014 |
Mode of delivery
AA | |
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S-INFO-014 |
Required Reading
AA | |
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S-INFO-014 |
Required Learning Resources/Tools
AA | |
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S-INFO-014 |
Recommended Reading
AA | |
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S-INFO-014 |
Recommended Learning Resources/Tools
AA | |
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S-INFO-014 |
Other Recommended Reading
AA | |
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S-INFO-014 |