Course Title | Code | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|
Extensions in Multivariate Polynomials II | MAT641 | 3 + 0 | 3.0 | 8.0 |
Prerequisites | None |
Language of Instruction | Turkish |
Course Level | Graduate |
Course Type | |
Mode of delivery | Lecturing |
Course Coordinator |
Assoc. Prof. Dr. Nejla ÖZMEN |
Instructors | |
Assistants | |
Goals | 1.Improving, deepening, statistically analyzing and commenting on the knowledge in the same or a different field to expertise level based on undergraduate qualifications. 2.Diagnosing interdisciplinary interaction related to the field. 3.Running a study demanding expertise independently in the field. 4.Critically evaluating the expertise level knowledge and skills acquired in the field, and redirecting learning |
Course Content | 1 Introduction to q-series 2 q-Integral 3 q-Binom Theorem 4 q-Binom Theorem 5 q-Gamma Function 6 q-Beta Function 7 q-Analogue of Hypergeometric Series 8 q-Analogues of some special polynomials 9 q-Analogues of some special polynomials 10 Construction of q-Lagrange Polynomials 11 q-Lagrange Polynomials for Bilinear and Bilateral Generating Functions 12 Recurrence Relations of q-Lagrange Polynomials 13 q-Analogues of some special polynomials in several variables 14 q-Analogues of some special polynomials in several variables |
Learning Outcomes |
- The concept of q-series, The concept of q-integral and to get their applications, To get q-Binom theorem and its proof, To applicate q-Binom theorem, To get q-Gamma function, To get q-Beta function, To get q-analogues of Hypergeometric series, To get q-analogues of some special polynomials in one variable, To find q-Lagrange polynomials in several variables and to get their properties, To construct some another multivariable polynomials and to get their properties |
Week | Topics | Learning Methods |
---|---|---|
1. Week | Introduction to q-series | |
2. Week | q-Integral | |
3. Week | q-Binom Theorem | |
4. Week | q-Binom Theorem | |
5. Week | q-Gamma Function | |
6. Week | q-Beta Function | |
7. Week | q-Analogue of Hypergeometric Series | |
8. Week | Mid-term Exam | |
9. Week | q-Analogues of some special polynomials | |
10. Week | q-Analogues of some special polynomials | |
11. Week | Construction of q-Lagrange Polynomials | |
12. Week | q-Lagrange Polynomials for Bilinear and Bilateral Generating Functions | |
13. Week | Recurrence Relations of q-Lagrange Polynomials | |
14. Week | q-Analogues of some special polynomials in several variables |
Andrews, G.E., Askey, R. and Roy, R. ,Special Functions. Cambridge University Pres, 1999. |
Program Requirements | Contribution Level | DK1 | Measurement Method |
---|---|---|---|
PY1 | 10 | 10 | 40,60 |
PY2 | 10 | 10 | 40 |
PY3 | 10 | 10 | 40,60 |
PY4 | 10 | 10 | 40,60 |
PY5 | 10 | 10 | 40,60 |
PY6 | 10 | 10 | - |
PY7 | 10 | 10 | 40,60 |
PY8 | 10 | 10 | 40,60 |
PY9 | 10 | 10 | 40,60 |
PY10 | 10 | 10 | 40,60 |
0 | 1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|---|
Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
Event | Quantity | Duration (Hour) | Total Workload (Hour) |
---|---|---|---|
Course Hours | 14 | 3 | 42 |
Preparation, After Class Study | 14 | 2 | 28 |
Research | 14 | 2 | 28 |
Other Activities | 14 | 1 | 14 |
Midterm 1 | 1 | 2 | 2 |
Homework 1 | 14 | 1 | 14 |
Homework 2 | 14 | 1 | 14 |
Final | 1 | 2 | 2 |
Practice | 14 | 1 | 14 |
Practice End-Of-Term | 2 | 2 | 4 |
Classroom Activities | 14 | 3 | 42 |
Total Workload | 204 | ||
ECTS Credit of the Course | 8.0 |