Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Linear Algebra BM213 3. Semester 3 + 0 3.0 3.0
Prerequisites None
Language of Instruction Turkish
Course Level Undergraduate
Course Type
Mode of delivery
Course Coordinator Assist. Prof. Dr. Mustafa İsa DOĞAN
Instructor(s) Mustafa İsa DOĞAN
Assistants
Goals This course is designed to enrich the knowledge of engineering students in linear algebra, and to teach them the basics and application of the methods for the solution of linear systems occurring in engineering problems.
Course Content Linear Algebra, Matrix theory, Vectors
Learning Outcomes - Solves the n dimensional linear systems by determinant(Cramer) method.
- Calculates the values of n dimensional determinats by reducing to triangle matrix, and by reducing the dimension by Laplace method. Calculates the value of the special determinants which are the types of Wandermonde and three diagonal by using formulas
- Finds the solution by using the inverse matrix method in the state of definite linear system.
- Examines the general system by using rank method, when the condition is compatible the finds its solution.
- Finds the eigenvalues and eigenvector of square matrix.
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Weekly Topics (Content)
Week Topics Learning Methods
1. Week Introduction. Overview of the subjects, history and methods of the linear algebra. Visual Presentation Verbal Expression Course Hours Practice
2. Week Systems involving two and three variables. Gauss method. Determinants of 2- and 3-dimensional matrices. Visual Presentation Practice Verbal Expression Course Hours
3. Week Geometric interpretation of the two- and three-dimensional system. Definition of the n-dimensional determinant. Visual Presentation Course Hours Verbal Expression Practice
4. Week Characteristics of the n-dimensional determinant and its calculation methods Course Hours Verbal Expression Practice Visual Presentation
5. Week Special determinants. Triangular, Wandermond and Tridiagonal shape determinants. Verbal Expression Course Hours Practice Visual Presentation
6. Week Laplace and Anti-Laplace theorems. Cramer’s theorem for the square system. Practice Course Hours Verbal Expression Visual Presentation
7. Week Matrices, operations on matrices. Inverse matrix and its finding methods. Practice Visual Presentation Course Hours Verbal Expression
8. Week Transformations of the square system to matrix form and solution with inverse matrix method. Verbal Expression Course Hours Visual Presentation Practice
9. Week Kronecker-Kapelli for general systems. Visual Presentation Practice Course Hours Verbal Expression
10. Week n-dimensional real and complex vector spaces. Linear independence bases and coordinates. Visual Presentation Practice Verbal Expression Course Hours
11. Week Linear transformation and its matrix. Transformation of matrix by base change. Verbal Expression Practice Visual Presentation Course Hours
12. Week Eigenvalues and eigenvectors. Hamilton-Cayley and Silvester theorems. Verbal Expression Visual Presentation Practice Course Hours
13. Week Jordan normal form of matrix. Similarity. Similarity condition of diagonal matrix. Course Hours Verbal Expression Practice Visual Presentation
14. Week Metric, Normed and Euclidean space. Length, angle, quadratic forms, numerical image. Course Hours Visual Presentation Verbal Expression Practice
Recommended Sources
Linear Algebra with Applications Steven j.Leon
Linear Algebra with Applications Steven j.Leon
Material Sharing
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 DK6 Measurement Method
PY1 5 0 0 0 0 0 - -
PY2 5 0 0 0 0 0 - -
PY3 2 0 0 0 0 0 - -
PY4 1 0 0 0 0 0 - -
PY5 1 0 0 0 0 0 - -
PY6 2 0 0 0 0 0 - -
PY7 3 0 0 0 0 0 - -
PY8 2 0 0 0 0 0 - -
PY9 1 0 0 0 0 0 - -
PY10 3 0 0 0 0 0 - -
*DK = Course's Contrubution.
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
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Hours 14 3 42
Practice 10 1 10
Midterm 1 1 12 12
Final 1 24 24
Classroom Activities 14 1 14
Total Workload 102
ECTS Credit of the Course 3.0