Study programme 2022-2023 | Français | ||
Machine learning I | |||
Programme component of Bachelor's in Computer Science (MONS) (day schedule) à la Faculty of Science |
Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
US-B3-SCINFO-019-M | Compulsory UE | BEN TAIEB Souhaib | S861 - Big Data and Machine Learning |
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
| Anglais, Français | 30 | 30 | 0 | 0 | 0 | 6 | 6.00 | 2nd term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
S-INFO-256 | Machine Learning I | 30 | 30 | 0 | 0 | 0 | Q2 | 100.00% |
Programme component | ||
---|---|---|
US-B1-SCINFO-007-M Computer Programming and Algorithms I | ||
US-B1-SCINFO-008-M Computer Programming and Algorithms II | ||
US-B2-SCINFO-004-M Probability | ||
US-B3-SCINFO-002-M Probability and Statistic | ||
US-B2-SCINFO-002-M Calculus II | ||
US-B1-SCINFO-004-M Calculus I | ||
US-B1-SCINFO-003-M Mathématiques pour l'informatique |
Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
Study of statistical/machine learning algorithms for supervised and unsupervised problems. Study of linear and non-linear models for regression, classification, clustering and dimensionality reduction.
UE Content: description and pedagogical relevance
See the single learning activity.
Prior Experience
Basics of Probability and Statistics
Basics of Matrix Algebra
Basics of Non-linear optimization
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
---|---|
S-INFO-256 |
|
Mode of delivery
AA | Mode of delivery |
---|---|
S-INFO-256 |
|
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
---|---|
S-INFO-256 | Not applicable |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
---|---|
S-INFO-256 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
---|---|
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 |
---|---|
S-INFO-256 | Authorized |
Term 2 Assessment - type
AA | Type(s) and mode(s) of Q2 assessment |
---|---|
S-INFO-256 |
|
Term 2 Assessment - comments
AA | Term 2 Assessment - comments |
---|---|
S-INFO-256 | Closed-book written exam (70% of total score) Project (30% of total score) There is a hurdle of 50% for each of the previous evaluations. |
Term 3 Assessment - type
AA | Type(s) and mode(s) of Q3 assessment |
---|---|
S-INFO-256 |
|
Term 3 Assessment - comments
AA | Term 3 Assessment - comments |
---|---|
S-INFO-256 | Closed-book oral exam (70% of total score) Project (30% of total score) There is a hurdle of 50% for each of the previous evaluations. |