ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| Computer Programming (Evening Education) | |||||
| Associate | TR-NQF-HE: Level 5 | QF-EHEA: Short Cycle | EQF-LLL: Level 5 | ||
Course Introduction and Application Information
| Course Code: | MYO051 | ||||
| Course Name: | Mathematics and Linear Algebra | ||||
| Semester: | Fall | ||||
| Course Credits: |
|
||||
| Language of instruction: | |||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Departmental Elective | ||||
| Course Level: |
|
||||
| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Öğr. Gör. SENA KAÇAR | ||||
| Course Lecturer(s): | Öğr. Gör. Sena Kaçar | ||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | To teach the solution methods of linear equation systems, to provide the ability to use matrices and determinants in practice, to introduce the basic concepts necessary, to understand, establish, solve and intepret differential equations, and to teach various types of differential equation solving techniques, to gain the ability using mathematics knowledge to solve engineering problems. |
| Course Content: | Matrices and linear algebra, determinants, vector space, eigenvalues and eigenvectors, solutions of differential equations. |
Learning Outcomes
|
The students who have succeeded in this course;
1) To perform basic operations with matrices, and calculate determinants, 2) To learn vector spaces, basis and dimension concepts. 3) To comprehend matrices inner product and its norm. 4) To compute eigenvalues and eigenvectors of matrices. 5) To solve the linear equations, and interprete the results. |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Matrices Algebra | None |
| 2) | Matrices Algebra | None |
| 3) | Elementary Operations in Metrics | None |
| 4) | Determinant | None |
| 5) | Linear Equation Systems | None |
| 6) | Vector Spaces | None |
| 7) | Inner Product and Norm | None |
| 8) | MIDTERM EXAM | 1-7. Weeks |
| 9) | Linear Transformations | None |
| 10) | Linear Transformations | None |
| 11) | Eigenvalues | None |
| 12) | Eigenvectors | None |
| 13) | Diagonalization | None |
| 14) | Triangulation | None |
| 15) | Final Exam | 1-14. Weeks |
Sources
| Course Notes / Textbooks: | Peter J. Olver, Chehrzad Shakiban, Applied Linear Algebra, Second Edition, Springer. |
| References: | Peter J. Olver, Chehrzad Shakiban, Applied Linear Algebra, Second Edition, Springer. |
Course - Program Learning Outcome Relationship
| Course Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Program Outcomes | |||||||||||||
| 1) He gains the ability of problem solving and analytical thinking skills. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 2) He learns the fundamentals of computer programming, hardware and software and the basic computer concepts. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 3) He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 4) He understands object-oriented programming concept and web programming. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 5) He learns radix systems, fundamental electronics and computer hardware knowledge. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 6) He gains mobile programming skills and develops applications for mobile platforms. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 7) He designs and codes databases. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 8) He learns to program and use computer networks, open source operating systems. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 9) He uses the English language effectively. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 10) He learns to use appropriate data structures according to programming requirements. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 11) He develops software individually or as a team. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 12) He follows developments in the field, high technology tools / applications. | 3 | 3 | 3 | 3 | 3 | ||||||||
| 13) He gains awareness of professional and ethical responsibility and has an awareness of professional ethics. | 3 | 3 | 3 | 3 | 3 | ||||||||
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | He gains the ability of problem solving and analytical thinking skills. | 3 |
| 2) | He learns the fundamentals of computer programming, hardware and software and the basic computer concepts. | 3 |
| 3) | He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem. | 3 |
| 4) | He understands object-oriented programming concept and web programming. | 3 |
| 5) | He learns radix systems, fundamental electronics and computer hardware knowledge. | 3 |
| 6) | He gains mobile programming skills and develops applications for mobile platforms. | 3 |
| 7) | He designs and codes databases. | 3 |
| 8) | He learns to program and use computer networks, open source operating systems. | 3 |
| 9) | He uses the English language effectively. | 3 |
| 10) | He learns to use appropriate data structures according to programming requirements. | 3 |
| 11) | He develops software individually or as a team. | 3 |
| 12) | He follows developments in the field, high technology tools / applications. | 3 |
| 13) | He gains awareness of professional and ethical responsibility and has an awareness of professional ethics. | 3 |
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 | 2 | 10 | 3 | 26 | |||
| Midterms | 1 | 20 | 1 | 21 | |||
| Final | 1 | 30 | 2 | 32 | |||
| Total Workload | 79 | ||||||