Undergraduate
Faculty of Science and Letters
Mathematics And Computer Science
Anlık RSS Bilgilendirmesi İçin Tıklayınız.Düzenli bilgilendirme E-Postaları almak için listemize kaydolabilirsiniz.


Linear Algebra

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
MB0006 2 Linear Algebra 2/2/0 CC Turkish 6
Course Goals
To teach basic concepts of Linear Algebra such as matrix, determinants, vector spaces and linear transformations.
Prerequisite(s) None
Corequisite(s) None
Special Requisite(s) None
Instructor(s) Professor R. Tunç MISIRLIOĞLU
Course Assistant(s) Ayşe Nur Altunsoy, Research Assistant
Schedule Monday 13:00-15:00 (Z-A2); Wednesday (Recitation) 13:00-15:00 (Z-D3)
Office Hour(s) Friday 15:00-17:00 (4A-04/06/08)
Teaching Methods and Techniques Lecture and recitation
Principle Sources T.S. Blyth and E.F. Robertson, Basic Linear Algebra, Springer, 4th Edition, 2007.
Other Sources  Mehmet Ali Karaca, Lineer Cebir Çözümlü Problemleri, İTÜ Vakfı Yayınları, 2006.
Course Schedules
Week Contents Learning Methods
1. Week Matris Cebri Oral presentation
2. Week Matris Uygulamaları Oral presentation
3. Week Lineer Denklem Sistemleri Oral presentation
4. Week Lineer Denklem Sistemleri Oral presentation
5. Week Terslenebilir Matrisler Oral presentation
6. Week Vektör Uzayları Oral presentation
7. Week Vektör Uzayları Oral presentation
8. Week Lineer Dönüşümler Oral presentation
9. Week Lineer Dönüşümler Midterm Exam
10. Week Lineer Dönüşümler Oral presentation
11. Week Matris Temsilleri Oral presentation
12. Week Matris Temsilleri Oral presentation
13. Week Determinantlar Oral presentation
14. Week Özdeğerler ve Özvektörler Oral presentation
15. Week Final Exam Week Final Exam
16. Week Final Exam Week Final Exam
17. Week Final Exam Week Final Exam
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 40
Final Exam 1 60


Program Outcomes
PO-1Interpreting advanced theoretical and applied knowledge in Mathematics and Computer Science.
PO-2Critiquing and evaluating data by implementing the acquired knowledge and skills in Mathematics and Computer Science.
PO-3Recognizing, describing, and analyzing problems in Mathematics and Computer Science; producing solution proposals based on research and evidence.
PO-4Understanding the operating logic of computer and recognizing computational-based thinking using mathematics as a discipline.
PO-5Collaborating as a team-member, as well as individually, to produce solutions to problems in Mathematics and Computer Science.
PO-6Communicating in a foreign language, and interpreting oral and written communicational abilities in Turkish.
PO-7Using time effectively in inventing solutions by implementing analytical thinking.
PO-8Understanding professional ethics and responsibilities.
PO-9Having the ability to behave independently, to take initiative, and to be creative.
PO-10Understanding the importance of lifelong learning and developing professional skills continuously.
PO-11Using professional knowledge for the benefit of the society.
Learning Outcomes
LO-1By the end of this course, students should be able to: Recognize special type of matrices. Perform the operations on matrices.
LO-2Solve Systems of Linear Equations.
LO-3Compute determinants by using properties of determinant and Cofactor expansion along any row ( or column).
LO-4Know concepts of vector space, basis and dimension.
LO-5Calculate eigenvalues and corresponding eigenvectors of a given matrix. And determine whether it is diagonalizable or not. If possible, diagonalize it.
LO-6Learn Linear Transformations and Matrix Representations of Linear Transformations
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11