 | Study programme 2018-2019 | Français | |
 | Big Data Analytics I | ||
Programme component of Master's Degree in Computer Science à la Faculty of Science |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-MC-SCINFO-050-M | Compulsory UE | BEN TAIEB Souhaib | S861 - Service Big Data and Machine Learning |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Anglais | 30 | 15 | 0 | 0 | 0 | 5 | 5.00 | 2nd term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| S-INFO-256 | Big Data Analytics I | 30 | 15 | 0 | 0 | 0 | Q2 | 100.00% |
| Programme component |
|---|
Objectives of Programme's Learning Outcomes
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| S-INFO-256 |
Mode of delivery
| AA | |
|---|---|
| S-INFO-256 |
Required Reading
| AA | |
|---|---|
| S-INFO-256 |
Required Learning Resources/Tools
| AA | |
|---|---|
| S-INFO-256 |
Recommended Reading
| AA | |
|---|---|
| S-INFO-256 |
Recommended Learning Resources/Tools
| AA | |
|---|---|
| S-INFO-256 |
Other Recommended Reading
| AA | |
|---|---|
| S-INFO-256 |
Grade Deferrals of AAs from one year to the next
| AA | Grade Deferrals of AAs from one year to the next |
|---|---|
| S-INFO-256 | Unauthorized |
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term