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FACULTY of SCIENCE / DEPARTMENT of MATHEMATICS

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MAT2010Linear Algebra-II4+0+0ECTS:7
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of MATHEMATICS
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 4 hours of lectures per week
LecturerProf. Dr. Sultan YAMAK
Co-LecturerPROF. DR. Sultan YAMAK,
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The course aims to provide the students with a general knowledge on determinants, eigenvectors, eigenvalues, diagonalization and inner product spaces.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : prove elementary statements concerning the theory of matrices and determinants.1,2,3,4,5,71
LO - 2 : use the Gram-Schmidt process to orthogonalize matrices1,3,4,5,6,7,81
LO - 3 : calculate the invert matrices by determinants1,2,3,4,5,7,81
LO - 4 : write the relationships between A, the rank of A and the linear equation AX =b1,2,3,4,5,6,7,81
LO - 5 : prove elementary facts concerning eigenvalues and eigenvectors1,2,3,4,5,6,7,81
LO - 6 : determine if a matrix is diagonalizable, and if it is, diagonalize it.1,2,3,4,5,6,7,81
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Determinants, eigenvectors and eigenvalues, the characteristic polynomials, quadratic forms, the space of inner products, Euclidean and unitary spaces, orthogonal and unitary matrices.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Elementary operations and applications
 Week 2Linear equation systems and solution
 Week 3Determinants
 Week 4Properties of determinant functions
 Week 5Applications of Determinants
 Week 6Eigenvalues and Eigenvectors
 Week 7Diagonal matrices
 Week 8Binary linear transformations
 Week 9Mid-term exam
 Week 10Inner-product spaces
 Week 11Euclidean space
 Week 12Orthogonal bases
 Week 13Orthonormal bases
 Week 14Orthogonal matrices
 Week 15positive-defined matrices
 Week 16End-of-term exam
 
Textbook / Material
1B. Seymour Lipschutz, M. Lipson , 2001, Theory and problems of LINEAR ALGEBRA Linear Algebra, Schaum's outlıne series.
 
Recommended Reading
1A. Frank, 1962, Theory and Problems of Matrices, Schaum's outline series.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 10/04/2018 2 50
End-of-term exam 16 31/05/2018 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 4 14 56
Sınıf dışı çalışma 5 14 70
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 15 1 15
Arasınav 2 1 2
Uygulama 0 0 0
Klinik Uygulama 0 0 0
Ödev 0 0 0
Proje 0 0 0
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 20 1 20
Dönem sonu sınavı 2 1 2
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load165