Partial Differential Equations(MAT328)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| MAT328 | Partial Differential Equations | 6 | 4 | 0 | 0 | 4 | 8 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | French |
| Course Type | Compulsory |
| Course Level | Bachelor Degree |
| Course Instructor(s) | Adam OUZERİ aouzeri@gsu.edu.tr (Email) |
| Assistant | |
| Objective | Introduction to the theory and solution of partial differential equations. |
| Content | Initial-Boundary value problems, first-order equations, second-order equations, transport equation, heat equations, wave equation, Laplace equation, separation of variables, Fourier analysis, Green's function |
| Course Learning Outcomes |
1. Be able to classify the types of partial differential equations 2. Understand the techniques for solving certain types of partial differential equations 3. Understand the fundamental properties of the solutions of the transport, heat, wave and Laplace equations. |
| Teaching and Learning Methods | Lectures and problem sets. |
| References |
Introduction to partial differential equations - Pinchover, Rubenstein Partial differential equations - Evans Introduction aux Equations aux Dérivées Partielles - Heffler, Ramond Équations aux dérivées partielles - Reinhard |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Overview |
| 2 | Classification |
| 3 | First-order PDEs |
| 4 | Transport equation |
| 5 | Second-order equations, quizz |
| 6 | Wave equation |
| 7 | Heat equation |
| 8 | Midterm |
| 9 | Laplace equation |
| 10 | Sturm-Liouville problems |
| 11 | Transformées |
| 12 | Green functions |
| 13 | Equations in high-dimension |
| 14 | Variational methods, quizz |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 14 | 60 |
| Contribution of final exam to overall grade | 1 | 40 |
| Toplam | 15 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 10 | 5 |
| Presentation | 1 | 5 |
| Midterm Examinations (including preparation) | 1 | 30 |
| Project | 0 | 0 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 2 | 20 |
| 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 | 14 | 60 |
| 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; | X | ||||
| 2 | can properly state and use concepts and results of major mathematical interest; | X | ||||
| 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; | X | ||||
| 4 | is able to express one’s mathematical ideas in an organised way both in written and oral forms; | X | ||||
| 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,...); | X | ||||
| 6 | has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; | X | ||||
| 7 | has a theoretical and practical knowledge in computer science well adapted for learning a programming language; | X | ||||
| 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; | X | ||||
| 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; | X | ||||
| 10 | masters French language as well as other foreign languages, to a level sufficient to study or work abroad. | X | ||||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 4 | 56 |
| Working Hours out of Class | 14 | 4 | 56 |
| Assignments | 0 | 0 | 0 |
| Presentation | 2 | 1 | 2 |
| Midterm Examinations (including preparation) | 2 | 30 | 60 |
| Project | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Other Applications | 0 | 0 | 0 |
| Final Examinations (including preparation) | 1 | 20 | 20 |
| Quiz | 0 | 0 | 0 |
| Term Paper/ Project | 0 | 0 | 0 |
| Portfolio Study | 0 | 0 | 0 |
| Reports | 0 | 0 | 0 |
| Learning Diary | 0 | 0 | 0 |
| Thesis/ Project | 0 | 0 | 0 |
| Seminar | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Workload | 194 | ||
| Total Workload / 25 | 7,76 | ||
| Credits ECTS | 8 | ||