Mathematics (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | MATH106 | ||||
Course Name: | Analytic Geometry and Linear Algebra 2 | ||||
Semester: | Spring | ||||
Course Credits: |
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Language of instruction: | |||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Compulsory Courses | ||||
Course Level: |
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Mode of Delivery: | Face to face | ||||
Course Coordinator: | Prof. Dr. SELÇUK DEMİR | ||||
Course Lecturer(s): | Prof. Dr. Şükrü Yalçınkaya | ||||
Course Assistants: |
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. |
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. |
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 |
Course Notes / Textbooks: | Howard Anton, Chris Rorres - Elementary Linear Algebra |
References: | Ders notları |
Course Learning Outcomes | 1 |
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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. |
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. |
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 |
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 |