Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Linear Algebra BMM106 Turkish Compulsory 2. Semester 2 + 0 2.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to Face
Course Coordinator Doç. Dr. Nejla ÖZMEN
Instructor(s) Doç. Dr. Nejla ÖZMEN (Bahar)
Goals This course aims to teach students the fundamentals of linear algebra and introduce its applications in engineering.
Course Content Matrix Algebra, Elementary Operations and Applications, Determinants, Linear Equation Systems and Solutions, Vector Spaces, Linear Dependency and Independence, Base and Dimension, Linear Transformations, Matrix Representations of Linear Transformations, Inner Product Spaces, Matrix Norms, Eigenvalues ​​and Eigenvectors, Diagonalization will be covered.
Learning Outcomes
# Öğrenme Kazanımı
1 Being able to operate with matrices
2 Being able to calculate determinants
3 Being able to solve a system of equations
4 Establishing an isomorphism between Linear Transformations and Matrices
5 To teach the basic information about linear transformations
6 Teaching basic information about Eigenvalues ​​and Eigenvectors
7 Understanding the importance of diagonalization of matrices and applications of diagonalization
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Matrix Algebra Preparation, After Class Study, Research, Other Activities, Practice
2. Week Elementary Operations and Applications Preparation, After Class Study, Research, Other Activities, Practice
3. Week Determinants Preparation, After Class Study, Research, Other Activities, Practice
4. Week Linear Equation Systems and Solutions Preparation, After Class Study, Research, Other Activities, Practice
5. Week Linear Equation Systems and Solutions Preparation, After Class Study, Research, Other Activities, Practice
6. Week Vector Spaces Preparation, After Class Study, Research, Other Activities, Practice
7. Week Linear Dependency and Independence Preparation, After Class Study, Research, Other Activities, Practice
8. Week Base and Size Preparation, After Class Study, Research, Other Activities, Practice
9. Week Linear Transformations Preparation, After Class Study, Research, Other Activities, Practice
10. Week Matrix Representations of Linear Transformations Preparation, After Class Study, Research, Other Activities, Practice
11. Week Inner Product Spaces Preparation, After Class Study, Research, Other Activities, Practice
12. Week Matrix Norms Preparation, After Class Study, Research, Other Activities, Practice
13. Week Eigenvalues ​​and Eigenvectors Preparation, After Class Study, Research, Other Activities, Practice
14. Week Diagonalization Preparation, After Class Study, Research, Other Activities, Practice
*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 It explains the theories and principles related to the field.
2 It provides practical skills in the field of Biomedical Engineering by utilizing knowledge from health sciences and engineering.
4 It provides the ability to define, model, and solve a problem encountered in medicine using engineering approaches.
6 It instills professional responsibility and ethical awareness.
10 It provides the ability to access information, follow developments in science and technology, and continuously update oneself.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7
PY1 4 4 4 4 4 4 4
PY2 3 3 3 3 3 3 3
PY4 4 4 4 4 4 4 4
PY6 5 5 5 5 5 5 5
PY10 4 4 4 4 4 4 4
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Linear Algebra and Its Applications (5th Edition) by David C. Lay, Steven R. Lay, Judi J. McDonald, 2015
  • Applied Linear Algebra (Translation from the 7th Edition), Bernard Kolman, David R. Hill, Palme Publishing, 2002.
Evaluation Method
Bahar Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Doç. Dr. Nejla ÖZMEN Vize 40.00
Doç. Dr. Nejla ÖZMEN Final 60.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 2 28
Ders Dışı
Preparation, After Class Study 14 2 28
Research 3 1 3
Sınavlar
Midterm 1 1.5 1.5
Final 1 2 2
Classroom Activities 14 1 14
Total Workload 76.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0