Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Linear Algebra ILinear Algebra I MAE203 Turkish Compulsory 3. Semester 2 + 0 2.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Prof. Dr. ŞAHİN DANİŞMAN
Instructor(s) Prof. Dr. ŞAHİN DANİŞMAN (Güz)
Goals To improve the ability of abstract thinking, by intensifying the concepts of matrices and determinants and the solutions of systems of linear equations to create the basis for algebra classes.
Course Content Matrices, Matrix operations, special type matrices; elementary row and column operations, echelone matrix, elementary matrix and the inverse of a matrix; rank of a matrix; determinant, properties of determinant function; systems of linear equations, solution tecniques (Gauss elimination, Gauss-Jordan reduction method, inverse matrix and Cramer method)
Learning Outcomes
# Öğrenme Kazanımı
1 The student knows how to find inverse of a given matrix.
2 The student solves system s of linear equations using matrices and determinants.
3 The student understands the relation between matrices and linear systems
4 The student applies solution techniques to linear equation systems
5 The student knows the relationship between rank of matrix, determinants and invertibility.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Matrices and matrix operations Class Hours Interview
2. Week Matrix operations and matrix types Interview Class Hours
3. Week Elementary row/column operations, Echelon matrix Interview Class Hours
4. Week Linear combinations, Linear dependence and independence Interview Class Hours
5. Week Determinants and properties Class Hours Interview
6. Week Rank of a matrix Interview Class Hours
7. Week Inverse of a matrix Interview Class Hours
8. Week Midterm
9. Week Systems of linear equations and the solution tecniques Class Hours Interview
10. Week Gauss Elimination and Gauss-Jordan methods Class Hours Interview
11. Week Gauss Elimination and Gauss-Jordan methods Class Hours Interview
12. Week Using inverse matrix to solve linear equation systems Interview Class Hours
13. Week Cramer method Interview Class Hours
14. Week General evaluation Interview Class Hours
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 They know and apply contemporary teaching methods and techniques, assessment and evaluation methods.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY1 5 5 5 5 5
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Lineer Cebir- Salim Yüce-Anı
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Prof. Dr. ŞAHİN DANİŞMAN Quiz 10.00
Prof. Dr. ŞAHİN DANİŞMAN Quiz 10.00
Prof. Dr. ŞAHİN DANİŞMAN Quiz 10.00
Prof. Dr. ŞAHİN DANİŞMAN Quiz 10.00
Prof. Dr. ŞAHİN DANİŞMAN Quiz 10.00
Prof. Dr. ŞAHİN DANİŞMAN Quiz 10.00
Prof. Dr. ŞAHİN DANİŞMAN Final 40.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 13 2 26
Ders Dışı
Preparation, After Class Study 13 2 26
Sınavlar
Midterm 1 1 10 10
Quiz 1 1 4.5 4.5
Final 1 10 10
Total Workload 76.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0