MATHEMATICS (TURKISH, PHD) | |||||
PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
MAT5003 | Linear Algebra and Its Applications | Fall | 3 | 0 | 3 | 12 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | Tr |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Prof. Dr. ERTUĞRUL ÖZDAMAR |
Course Objectives: | The purpose of this course is to give the basic concepts of linear algebra with applications to students who intend to study applied mathematics. |
The students who have succeeded in this course; The students who succeeded in this course; o will be able to describe solution methods for systems of linear equations. o will be able to apply the fundamental properties of determinants to solve the systems of equations, inverting matrices and also to decide whether a subset is linearly independent or not, spans the space or does not. o will be able to apply concepts of vector spaces to all relating areas including matrices. o will be able to formulate the change of basis , to obtain an orthonormal basis and to diagonalize a square matrix, to develop matrix representation of linear mappings. o will be able to distinguish the subsets that span the space or not , are linear independent or not, and the matrices are orthogonal diagonalizable or not, mappings are linear or not. o will be able to use determinants to solve the systems of equations, inverting matrices and also to evaluate the eigen vectors , effectively. o will be able to write equations of Curves and Surfaces passing through given points and apply linear algebra to Leontief economic model applications, Geometric Programming, Cryptography. |
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Week | Subject | Related Preparation | |
1) | Systems of linear equations, network analysis, Balancing Chemical Equations, Design of Traffic Patterns | ||
2) | Matrices, LU decomposition, | ||
3) | Vector spaces,subspaces, bases and the dimension | ||
4) | Determinants, multilinear functions , Cramer systems | ||
5) | Inner product spaces, orthonormal sets, QR decomposition, least squares method | ||
6) | Linear mappings, space of linear mappings | ||
7) | Matrices and linear mappings | ||
8) | Matrix polynomials, characteristic values, characteristic vectors, diagonalization of matrices | ||
9) | Applications; genetics, population problems | ||
10) | Qudratic forms, geometric applications | ||
11) | Special mappings of iner product spaces | ||
12) | Equation of curves and surfaces passing through given points, geometric programming | ||
13) | Cryptography | ||
14) | Leontief economical models |
Course Notes: | . |
References: | . |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 14 | % 5 |
Laboratory | % 0 | |
Application | % 0 | |
Field Work | % 0 | |
Special Course Internship (Work Placement) | % 0 | |
Quizzes | % 0 | |
Homework Assignments | 2 | % 10 |
Presentation | % 0 | |
Project | % 0 | |
Seminar | % 0 | |
Midterms | 1 | % 35 |
Preliminary Jury | % 0 | |
Final | 1 | % 50 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 0 | 0 | 0 |
Presentations / Seminar | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework Assignments | 2 | 40 | 80 |
Quizzes | 0 | 0 | 0 |
Preliminary Jury | 0 | ||
Midterms | 1 | 30 | 30 |
Paper Submission | 0 | ||
Jury | 0 | ||
Final | 1 | 40 | 40 |
Total Workload | 192 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution |