Mathematics (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

MATH106

Course Name:

Analytic Geometry and Linear Algebra 2

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Compulsory Courses

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Araş. Gör. GAMZE AKAR UYSAL

Course Lecturer(s):

Prof. Dr. Şükrü Yalçınkaya

Course Assistants:

Course Objective and Content

Course Objectives:	The course aims to teach the concepts eigenvalues and eigenvectors of matrices, linear transformations and their fundamental properties, orthogonalisation, quadratic forms and quadratic sections.
Course Content:	The content of the course consists of eigenvalues, eigenvectors, diagonalization, general linear transformations, similarity, inner product spaces, Gram-Schmidt process, orthogonal matrices, quadratic forms, conic sections, hermitian, unitary and normal matrices.

Learning Outcomes

The students who have succeeded in this course;
1) Learn linear transformations and the matrix representations of linear transformations.
2) Learn to find eigenvalues and eigenvectors of matrices and linear transformations.
3) Learn inner product spaces and to construct orthogonal basis for the vector spaces.
4) Learn quadratic forms and to obtain conic sections from quadratic forms.

Course Flow Plan

Week	Subject	Related Preparation
1)	Eigenvalues and eigenvectors
2)	Diagonalization
3)	Complex vector spaces
4)	General linear transformations
5)	Compositions, isomorphisms and inverse linear transformations
6)	Matrices for general linear transformations
7)	Similarity
8)	Midterm Exam
9)	Inner product spaces
10)	Gram-Schmidt process, QR-decomposition
11)	Orthogonal matrices, orthogonal diagonalization
12)	Quadratic forms
13)	Conic sections
14)	Hermitian, unitary and normal matrices

Sources

Course Notes / Textbooks:	Howard Anton, Chris Rorres - Elementary Linear Algebra
References:	Ders notları

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4
Program Outcomes
1) Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2) Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3) Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4) Have the ability to think analytically and use the time effectively in the process of deduction.
5) Have the ability to search the literature, understand and interpret scientific articles.
6) Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7) Have the ability to work efficiently in interdisciplinary teams.
8) Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9) Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10) Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11) Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.	2
2)	Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.	3
3)	Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.	2
4)	Have the ability to think analytically and use the time effectively in the process of deduction.	3
5)	Have the ability to search the literature, understand and interpret scientific articles.
6)	Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7)	Have the ability to work efficiently in interdisciplinary teams.
8)	Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9)	Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10)	Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11)	Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	13	0	3		39
Application	13	0	1		13
Study Hours Out of Class	13	0	4		52
Midterms	1	0	15		15
Final	1	0	25		25
Total Workload					144