 | Study programme 2023-2024 | Français | |
 | Practical Skills (Work Placement) | ||
Programme component of Master's in Mathematics : Specialist Focus on Careers in Computer Science and Artificial Intelligence (MONS) (day schedule) à la Faculty of Science |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-M2-MATFSI-001-M | Compulsory UE | TROESTLER Christophe | S835 - Analyse numérique |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français | 0 | 0 | 494 | 0 | 0 | 30 | 30.00 | Full academic year |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| S-MATH-058 | Practical skills (placements and seminars) | 0 | 0 | 494 | 0 | 0 | A | 100.00% |
| Programme component |
|---|
Objectives of Programme's Learning Outcomes
- Have acquired professional skills in relation to the objective defining the degree.
- Master design and software development techniques.
- Have rigour and an aesthetic sense needed to develop functional and elegant solutions to software problems.
- Implement knowledge to provide innovative and reliable software solutions to concrete problems.
- Independently learn new programming languages and new development methodologies.
- Carry out major projects.
- Give constructive criticism on the quality and progress of a project.
- Work in teams and, in particular, communicate effectively and with respect for others.
- Present the objectives and results of a project orally and in writing.
- Communicate clearly.
- Make a structured and reasoned presentation of the content and principles underlying a piece of work, mobilised skills and the conclusions it leads to.
Learning Outcomes of UE
At the end of the instruction, the students will be able to use their knowledge in order to satisfy the needs of a commercial company.
UE Content: description and pedagogical relevance
Internship in a company.
Prior Experience
Not applicable
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| S-MATH-058 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| S-MATH-058 |
|
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| S-MATH-058 | Not applicable |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| S-MATH-058 | Not applicable |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| S-MATH-058 | Not applicable |
Grade Deferrals of AAs from one year to the next
| AA | Grade Deferrals of AAs from one year to the next |
|---|---|
| S-MATH-058 | Authorized |
Term 1 Assessment - type
| AA | Type(s) and mode(s) of Q1 assessment |
|---|---|
| S-MATH-058 |
|
Term 1 Assessment - comments
| AA | Term 1 Assessment - comments |
|---|---|
| S-MATH-058 | Evaluation by the company. |
Resit Assessment - Term 1 (B1BA1) - type
| AA | Type(s) and mode(s) of Q1 resit assessment (BAB1) |
|---|---|
| S-MATH-058 |
|
Term 2 Assessment - type
| AA | Type(s) and mode(s) of Q2 assessment |
|---|---|
| S-MATH-058 |
|
Term 2 Assessment - comments
| AA | Term 2 Assessment - comments |
|---|---|
| S-MATH-058 | Evaluation by the company. |
Term 3 Assessment - type
| AA | Type(s) and mode(s) of Q3 assessment |
|---|---|
| S-MATH-058 |
|
Term 3 Assessment - comments
| AA | Term 3 Assessment - comments |
|---|---|
| S-MATH-058 | Evaluation by the company. |
(*) 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