Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Linear Algebra EEM162 Turkish Compulsory 2. Semester 3 + 0 3.0 6.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery In class
Course Coordinator Dr. Öğr. Üyesi ALİ İHSAN AYGÜN
Instructor(s)
Goals The aim of this course is to teach the fundamentals of linear algebra and its applications in engineering.
Course Content Matrix algebra, Elementary operations, Determinants, Systems of linear equations, Vector spaces, Basis and dimension, Linear dependence and independence, Linear transformations, Inner product spaces, Matrix norms, Eigenvalues and eigenvectors, Diagonalization
Learning Outcomes
# Öğrenme Kazanımı
1 Matrices
2 Determinant
3 Solving linear equations
4 Isomorphism
5 Linear transformations
6 Eigenvalues and eigenvectors
7 Diagonalization of matrices
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Matrix algebra
2. Week Elementary operations
3. Week Determinants
4. Week Linear equation systems and solutions
5. Week Linear equation systems and solutions
6. Week Vector spaces
7. Week Linear dependence and independence
8. Week Basis and Dimensions
9. Week Linear transformations
10. Week Matrix representations of linear transformations
11. Week Inner product spaces
12. Week Matrix norms
13. Week Eigenvalues and eigenvectors
14. Week Diagonalization of matrices
*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 Adequate knowledge in mathematics, science, and related engineering disciplines; ability to use theoretical and applied information in these areas to solve complex engineering problems.
2 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3 Ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4 Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
5 Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
6 Ability to work effectively in disciplinary and multidisciplinary teams; ability to work individually.
7 Ability to communicate effectively both orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8 Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology, and to constantly renew oneself.
9 Knowledge about behaving by ethical principles, professional and ethical responsibility, and standards used in engineering practices.
10 Knowledge of business life practices such as project management, risk management, and change management; awareness of entrepreneurship, and innovation; knowledge of sustainable development.
11 Knowledge about the global and societal effects of engineering practices on health, environment, and safety and contemporary issues reflected in the field of engineering; awareness of the legal consequences of engineering solutions.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7
PY1 5 5 5 5 5 5 5
PY2 4 4 4 4 4 4 4
PY3 3 3 3 3 3 3 3
PY4 4 4 4 4 4 4 4
PY5 3 3 3 3 3 3 3
PY6 2 2 2 2 2 2 2
PY7 1 1 1 1 1 1 1
PY8 2 2 2 2 2 2 2
PY9 4 4 4 4 4 4 4
PY10 1 1 1 1 1 1 1
PY11 1 1 1 1 1 1 1
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
  • Uygulamalı Lineer Cebir (7. Baskıdan Çeviri), Bernard Kolman, David R. Hill, Palme Yayıncılık, 2002.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Preparation, After Class Study 14 3 42
Sınavlar
Midterm 1 1 1.5 1.5
Homework 1 4 3 12
Homework 2 4 3 12
Final 1 1.5 1.5
Classroom Activities 14 3 42
Total Workload 153
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 6.0