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  Course Description
Course Name : Introduction To Matrix Theory

Course Code : MT 401

Course Type : Optional

Level of Course : First Cycle

Year of Study : 4

Course Semester : Fall (16 Weeks)

ECTS : 5

Name of Lecturer(s) : Asst.Prof.Dr. DİLEK KAHYALAR

Learning Outcomes of the Course : knows the basic terms about matrices and their special types
Calculate the Laplace Expansion by using algebraic component and minors.
relate matrix equivalent to similarity.
calculate the determinants by using elementary row(column) operations.
know the methods of finding the inverse of matrix

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : To teach the matrix theory which is used in various areas of mathematics and to demostrate the ways in which it is used.

Course Contents : Matrix operations. Determinants and properties of determinants. Rank of a matrix, Equivalent matrices. Similar matrices. Elementary row (column) operations. Elementary matrices. Adjoint of a matrix. Inverse of a matrix. Solution of the system of linear equations. Canonical forms. Quadratic form. Bilinear form.

Language of Instruction : Turkish

Work Place : Classrooms Faculty of Science Annex


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Basic matrix operations Reading the relevant parts of the textbook and problem solving Lecture and discussion
2 Determinants of matrices Reading the relevant parts of the textbook and problem solving Lecture and discussion
3 Minors and cofactors Reading the relevant parts of the textbook and problem solving Lecture and discussion
4 Equivalence of matrices Reading the relevant parts of the textbook and problem solving Lecture and discussion
5 Adjoint and its properties Reading the relevant parts of the textbook and problem solving Lecture and discussion
6 Equivalent Matrices Reading the relevant parts of the textbook and problem solving Lecture and discussion
7 Inverse of a Matrix Reading the relevant parts of the textbook and problem solving Lecture and discussion
8 Mid -term exam Review and problem solving Written Exam
9 Solution of Linear Equations Systems using matrices Reading the relevant parts of the textbook and problem solving Lecture and discussion
10 LU Decomposition Reading the relevant parts of the textbook and problem solving Lecture and discussion
11 Biliner forms Reading the relevant parts of the textbook and problem solving Lecture and discussion
12 Canonical forms Reading the relevant parts of the textbook and problem solving Lecture and discussion
13 Matrix functions Reading the relevant parts of the textbook and problem solving Lecture and discussion
14 Generalized inverses Reading the relevant parts of the textbook and problem solving Lecture and discussion
15 Solving problems Review and problem solving Lecture and discussion
16/17 Final exam Review and problem solving Written exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Matrix Operations, Schaum´s Outlines, Richard Bronson
 Matrix Theory, Fuzhen Zhang, Springer Verlag
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 100
    Homeworks/Projects/Others 0 0
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Is able to prove Mathematical facts encountered in secondary school. 4
2 Recognizes the importance of basic notions in Algebra, Analysis and Topology 4
3 Develops maturity of mathematical reasoning and writes and develops mathematical proofs. 5
4 Is able to express basic theories of mathematics properly and correctly both written and verbally 1
5 Recognizes the relationship between different areas of Mathematics and ties between Mathematics and other disciplines. 1
6 Expresses clearly the relationship between objects while constructing a model 3
7 Draws mathematical models such as formulas, graphs and tables and explains them 5
8 Is able to mathematically reorganize, analyze and model problems encountered. 5
9 Knows at least one computer programming language 4
10 Uses effective scientific methods and appropriate technologies to solve problems 0
11 Knows programming techniques and is able to write a computer program 0
12 Is able to do mathematics both individually and in a group. 0
13 Has sufficient knowledge of foreign language to be able to understand Mathematical concepts and communicate with other mathematicians 0
14 In addition to professional skills, the student improves his/her skills in other areas of his/her choice such as in scientific, cultural, artistic and social fields 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
    Homeworks, Projects, Others 0 0 0
    Mid-term Exams (Written, Oral, etc.) 1 15 15
    Final Exam 1 20 20
Total Workload: 133
Total Workload / 25 (h): 5.32
ECTS Credit: 5