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Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
99600006 Linear Algebra 2 Autumn 3 4+0+0 4 5
Course Type Compulsory
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) Asst. Prof. Sümeyye BAKIM
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Asst. Prof. Sümeyye BAKIM A-130 [email protected] 7483 Wednesday
11:00-12:00
Course Content
Linear equations, systems of linear equations. Types of matrices, matrix algebra, inverse of a matrix. Determinants. Linear transformations. Vector spaces. Eigenvalues and eigenvectors
Objectives of the Course
To provide students with a good understanding of the concepts and methods of linear algebra. To help the students develop the ability to solve problems using linear algebra. To connect linear algebra to other fields.
Contribution of the Course to Field Teaching
Basic Vocational Courses X
Specialization / Field Courses
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P1 Adequate knowledge in mathematics, science and related engineering discipline accumulation; theoretical and practical knowledge in these areas, complex engineering the ability to use in problems. 5
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Knows the applications of mathematics in engineering P.1.4 1
O2 Mathematical models of engineering problems are created and simulated P.1.6 1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Systems of linear equations
2 Systems of linear equations
3 Matrices and types of matrices
4 Matrix algebra
5 Inverse of a matrix.
6 Determinants
7 Properties of determinants
8 Adjoint matrix, Cramer's method
9 Elementary matrices, LU decomposition.
10 Vectors, linear independence, span
11 Linear transformations
12 Subspaces, basis
13 Orthogonal and orthonormal basis
14 Eigenvalues and eigenvectors
Textbook or Material
Resources Steven Leon,"Linear Algebra with Applications"6th Edi. (2001)
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Quiz - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 4 56
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 4 56
Midterms 1 18 18
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 20 20
Other 0 0 0
Total Work Load: 150
Total Work Load / 30 5
Course ECTS Credits: 5
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1
O1 Knows the applications of mathematics in engineering 2
O2 Mathematical models of engineering problems are created and simulated 1