Home / Programmes / Mathematics / MAT262
COURSE INFORMATION PACKAGE · MAT262

Linear Algebra II

Compulsory · French Open to Erasmus+ exchange students
ECTS
8
Local Credit
5
Theory + Practice + Lab
3 + 2 + 0
Course Level
Bachelor Degree
Prerequisites
-
Semester
3
On this page
Content Weekly Contents Assessment System Relation of Proficiency ECTS
Course Instructor(s)
Serap GÜRER
serapgurer@gmail.com
Assistant
Begüm Gülşah ÇAKTI

Content

Objective

Get to grips with basis Linear Algebra.

Course Content

Reminder: Determinant, Dual basis, Dual space, Eigenvalues, Eigenvectors, subspace, eigenspace and diagonalization. Inner product spaces, orthogonality, orthogonal complement. Operators on Inner product spaces, adjoint, self-adjoint, normal operators. Spectral theorem.

Course Learning Outcomes

To understand the structure of linear operators. To be able to recognize diagonalizable and triangulated linear operators or matrices. To understand operators on inner product space and application of spectral theorem.

Teaching and Learning Methods

Lecture and exercises.

References

Linear Algebra Right Done, S. Axler
Algebre Linéaire, Joseph Grifone,
Algèbre linéaire et bilinéaire, F. Cottet Emard, de Boeck, 2007.

Weekly Contents

Theory Topics
Week Weekly Contents
1 Introduction of course. Recall: Determinant, Dual Spaces, Dual basis
2 Eigenvalues, Eigenvecteurs
3 Diagonalisation
4 Quiz- Inner product spaces, Norms
5 Orthogonality
6 Orthonormal Basis
7 Orthogonal Complement
8 Midterm Exam- Adjoint-Self Adjoint Operators
9 Normal Operators
10 Spectral Theorem
11 Midterm Quiz-Positive Operators
12 Isometries
13 Unitary operators
14 Factorizations
Practice Topics
Week Weekly Contents
1 Exercices
2 Exercices
3 Exercices
4 Exercices
5 Exercices
6 Exercices
7 Exercices
8 Exam
9 Exercices
10 Exercices
11 Exercices
12 Exercices
13 Exercices
14 Exercices

Assessment System

Contribution to Overall Grade
Activities Number Contribution
Contribution of in-term studies to overall grade 2 55
Contribution of final exam to overall grade 1 45
Total 3 100
In-Term Studies
Activities Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 1 35
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 2 10
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 1 45
Make-up 0 0
Total 4 90

Relation of Proficiency

No Program Learning Outcomes Contribution
1 2 3 4 5
1 understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways; X
2 can properly state and use concepts and results of major mathematical interest; X
3 masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools; X
4 is able to express one’s mathematical ideas in an organised way both in written and oral forms; X
5 understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...); X
6 has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; X
7 has a theoretical and practical knowledge in computer science well adapted for learning a programming language; X
8 has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions; X
9 has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement; X
10 masters French language as well as other foreign languages, to a level sufficient to study or work abroad. X

ECTS

Activities Number Period Total Workload
Class Hours 14 5 70
Working Hours out of Class 14 5 70
Assignments 11 2 22
Presentation 2 2 4
Midterm Examinations (including preparation) 3 7 21
Project 0 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 15 15
Quiz 0 0 0
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Make-up 0 0 0
Yıl Sonu 0 0 0
Hazırlık Yıl Sonu 0 0 0
Hazırlık Bütünleme 0 0 0
Total Workload 202
Total Workload / 25 8.08
Credits ECTS 8