Selected Topıcs IV(MAT422)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS | 
|---|---|---|---|---|---|---|---|
| MAT422 | Selected Topıcs IV | 8 | 3 | 0 | 0 | 3 | 6 | 
| Prerequisites | |
| Admission Requirements | 
| Language of Instruction | French | 
| Course Type | Compulsory | 
| Course Level | Bachelor Degree | 
| Course Instructor(s) | Francis ROUSSEAUX (Email) | 
| Assistant | |
| Objective | A course in a topic of special interest to both faculty and students for which no current course exists. Topic will be announced in schedule of classes. | 
| Content | Course syllabus : Content of the course is announced in the classes. | 
| Course Learning Outcomes | It is expected that the student will be able to research around one specific topic. The student, after that course, will be able to make a litterature survey. He/she develops his/her presentatiın skills. | 
| Teaching and Learning Methods | |
| References | References of the course are announced in the classes. | 
Theory Topics
| Week | Weekly Contents | 
|---|
Practice Topics
| Week | Weekly Contents | 
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 0 | 0 | 
| Contribution of final exam to overall grade | 0 | 0 | 
| Toplam | 0 | 0 | 
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 0 | 0 | 
| Presentation | 0 | 0 | 
| Midterm Examinations (including preparation) | 0 | 0 | 
| Project | 0 | 0 | 
| Laboratory | 0 | 0 | 
| Other Applications | 0 | 0 | 
| Quiz | 0 | 0 | 
| Term Paper/ Project | 0 | 0 | 
| Portfolio Study | 0 | 0 | 
| Reports | 0 | 0 | 
| Learning Diary | 0 | 0 | 
| Thesis/ Project | 0 | 0 | 
| Seminar | 0 | 0 | 
| Other | 0 | 0 | 
| Toplam | 0 | 0 | 
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways; | |||||
| 2 | can properly state and use concepts and results of major mathematical interest; | |||||
| 3 | masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools; | |||||
| 4 | is able to express one’s mathematical ideas in an organised way both in written and oral forms; | |||||
| 5 | understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...); | |||||
| 6 | has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; | |||||
| 7 | has a theoretical and practical knowledge in computer science well adapted for learning a programming language; | |||||
| 8 | has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions; | |||||
| 9 | has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement; | |||||
| 10 | masters French language as well as other foreign languages, to a level sufficient to study or work abroad. | |||||
| Activities | Number | Period | Total Workload | 
|---|---|---|---|
| Class Hours | 14 | 3 | 42 | 
| Working Hours out of Class | 14 | 3 | 42 | 
| Assignments | 1 | 10 | 10 | 
| Midterm Examinations (including preparation) | 1 | 10 | 10 | 
| Final Examinations (including preparation) | 1 | 15 | 15 | 
| Total Workload | 119 | ||
| Total Workload / 25 | 4.76 | ||
| Credits ECTS | 5 | ||



