Study programme 2020-2021 | Français | ||
Machine learning | |||
Programme component of Bachelor's in Computer Science à la Faculty of Science |
Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what special Covid-19 assessment methods are possibly planned for the end of Q3 |
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Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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US-B3-SCINFO-019-M | Compulsory UE | BEN TAIEB Souhaib | S861 - Big Data and Machine Learning |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
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| Anglais, Français | 30 | 30 | 0 | 0 | 0 | 6 | 6.00 | 2nd term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
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S-INFO-256 | Machine learning | 30 | 30 | 0 | 0 | 0 | Q2 | 100.00% |
Programme component |
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Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
The course introduces statistical and machine learning methods for predictive modelling based on big datasets. The unit covers, among other topics, linear and non-linear methods for regression, classification, clustering and dimensionality reduction.
Content of UE
See the single learning activity.
Prior Experience
Basics of Probability and Statistics
Basics of Matrix Algebra
Basics of Non-linear optimization
Type of Assessment for UE in Q2
Q2 UE Assessment Comments
Written exam (60% of total score)
Project (20% of total score)
Assignments (20% of total score)
There is a hurdle of 50% for each of the previous evaluations
Type of Assessment for UE in Q3
Q3 UE Assessment Comments
Oral exam (60% of total score)
Project (20% of total score)
Assignments (20% of total score)
There is a hurdle of 50% for each of the previous evaluations
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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S-INFO-256 |
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Mode of delivery
AA | Mode of delivery |
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S-INFO-256 |
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Required Reading
AA | |
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S-INFO-256 |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
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S-INFO-256 | Not applicable |
Recommended Reading
AA | |
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S-INFO-256 |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
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S-INFO-256 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
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S-INFO-256 | Not applicable |
Grade Deferrals of AAs from one year to the next
AA | Grade Deferrals of AAs from one year to the next |
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S-INFO-256 | Authorized |