MATHEMATICS (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

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

Basic information

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.

Learning Outputs

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.

Course Content

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Weekly Detailed Course Contents

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

Sources

Course Notes: .
References: .

Evaluation System

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

ECTS / Workload Table

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

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution