Türkçe English Rapor to Course Content
COURSE SYLLABUS
LINEEAR ALGEBRA II
1 Course Title: LINEEAR ALGEBRA II
2 Course Code: MAT0504
3 Type of Course: Optional
4 Level of Course: First Cycle
5 Year of Study: 2
6 Semester: 3
7 ECTS Credits Allocated: 4
8 Theoretical (hour/week): 3
9 Practice (hour/week) : 0
10 Laboratory (hour/week) : 0
11 Prerequisites: -
12 Recommended optional programme components: None
13 Language: Turkish
14 Mode of Delivery: Face to face
15 Course Coordinator: Doç. Dr. Atilla Akpınar
16 Course Lecturers: Prof.Dr. Basri ÇELİK-
Prof.Dr. Esen İYİGÜN
17 Contactinformation of the Course Coordinator: E-posta: aakpinar@uludag.edu.tr
Telefon: +90 224 2941774
Adres: Uludağ Üniversitesi Fen-Edebiyat Fakültesi Matematik Bölümü 16059 Görükle-Bursa-TÜRKİYE
18 Website:
19 Objective of the Course: The objective of this course, by constructing the relation between linear mappings and matrices, is to understand the finding the echelon form of a matrix and the inverse (if exists) of a matrix, the rank of a matrix and also solving to linear equation systems with several methods.
20 Contribution of the Course to Professional Development
21 Learning Outcomes:
1 constructs to matrix of the linear transformation ;
2 uses elementary row operations, elementary matrices and matrix algebra to solve systems of equations ;
3 understands determinants and their properties ;
4 develops your ability to solve problems involving linear equations, matrices, determinants and vectors ;
5 learns how to find/calculate the determinant, inverse, transpose of matrices ;
6 understands matrix notation and the different matrix forms ;
7 demonstrates proficiency in correct formulation and solving linear problems in terms of systems of linear equations in matrix notation ;
8 writes solutions to problems involving linear algebra in a clear, mathematically-correct, and grammatically-correct fashion ;
22 Course Content:
Week Theoretical Practical
1 Matrix corresponding to linear transformation, rank of a linear transformation
2 Change of basis and properties of matrix
3 Elementary operations, echolon form and reduced echolon form
4 Elementary operations of vectors and matrices
5 Linear equation systems, definition and examples, solution method by Gauss method
6 Solution of Linear equation systems by Gauss-Jordan method and LU partition
7 Permutations, odd-even permutations, the group of permutations
8 Midterm exam and evaluation of midterm exam, repeat of previous subjects
9 n-linear alternative functions
10 Determinant and basic properties of determinant functions
11 Laplace formula for determinant and examples
12 Inverse matrix, determinant of a linear transformation
13 Solution of linear equation systems by determinants
14 Characteristic vectors and characteristic values
23 Textbooks, References and/or Other Materials: 1) Lineer Cebir, H.Hilmi Hacısalihoğlu, Ankara, 1985
2) Uygulamalı Lineer Cebir, B.Kol-D.R.Hill (tercüme), Ankara, 2002
3) Linear Algebra, Serge Lang, Newyork, 1972
4) Elemantary Linear Algebra, Hartfiel.Hobbs, 1987, PWS Publisher
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 1 40
Quiz 0 0
Homeworks, Performances 0 0
Final Exam 1 60
Total 2 100
Contribution of Term (Year) Learning Activities to Success Grade 40
Contribution of Final Exam to Success Grade 60
Total 100
Measurement and Evaluation Techniques Used in the Course
Information
25 ECTS / WORK LOAD TABLE
Activites NUMBER TIME [Hour] Total WorkLoad [Hour]
Theoretical 14 3 42
Practicals/Labs 0 0 0
Self Study and Preparation 14 2 28
Homeworks, Performances 0 0 0
Projects 0 0 0
Field Studies 0 0 0
Midtermexams 1 11 11
Others 14 2 28
Final Exams 1 11 11
Total WorkLoad 120
Total workload/ 30 hr 4
ECTS Credit of the Course 4
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10
LO1 0 0 0 0 0 0 0 0 0 0
LO2 0 0 0 0 0 0 0 0 0 0
LO3 0 0 0 0 0 0 0 0 0 0
LO4 0 0 0 0 0 0 0 0 0 0
LO5 0 0 0 0 0 0 0 0 0 0
LO6 0 0 0 0 0 0 0 0 0 0
LO7 0 0 0 0 0 0 0 0 0 0
LO8 0 0 0 0 0 0 0 0 0 0
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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