ce.cs.ieu.edu.tr
Course Name | |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
Fall |
Prerequisites | None | |||||
Course Language | ||||||
Course Type | Required | |||||
Course Level | - | |||||
Mode of Delivery | - | |||||
Teaching Methods and Techniques of the Course | Problem SolvingQ&A | |||||
Course Coordinator | ||||||
Course Lecturer(s) | ||||||
Assistant(s) |
Course Objectives | |
Learning Outcomes | The students who succeeded in this course;
|
Course Description |
| Core Courses | X |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Systems of linear equations. Row reduction and Echelon Forms. | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition,Section 1.1, 1.2. |
2 | Vector Equations. Solution Sets of Linear Systems. | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 1.3, 1.5, |
3 | Applications of Linear Systems. Linear Independence. | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 1.6, 1.7 |
4 | Introduction to Linear Transformations. Linear Models in Business, Science, and Engineering | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 1.8, 1.10 |
5 | Matrix Operations. The Inverse of a Matrix. Characterizations of Invertible Matrices | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 2.1, 2.2, 2.3 |
6 | Partitioned Matrices. Matrix Factorizations. The Leontief Input-Output Model. Midterm Exam 1. | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 2.4, 2.5, 2.6 |
7 | Applications to Computer Graphics. Introduction of Determinants. Properties of Determinants | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 2.7, 3.1, 3.2 |
8 | Cramer’s Rule. Vector Spaces and Subspaces. Null Spaces, Column Spaces and Linear Transformations | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 3.3, 4.1 4.2 |
9 | Linearly Independent Sets; Bases. The Dimension of a vector space. Rank | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 4.3, 4.5, 4.6 |
10 | Coordinate Systems. Change of a Basis. Applications to Difference Equations. | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 4.4, 4.7, 4.8 |
11 | Applications to Markov Chains. Eigenvectors and Eigenvalues. The Characteristic Equation. | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 4.9, 5.1, 5.2 |
12 | Diagonalization. Inner Product, Length and Orthogonality. Midterm | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 5.3, 6.1 |
13 | Orthogonal Projections. Orthogonal Sets. | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 6.2, 6.3 |
14 | The Gram-Schmidt Process. Least-Squares Problems. | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition, Section 6.4, 6.5 |
15 | Review | |
16 | Final exam. |
Course Notes/Textbooks | Linear Algebra and Its Applications, David C. Lay, Steven R. Lay, Judi J. McDonald, Pearson, 5th Edition. |
Suggested Readings/Materials | 1) Elementary Linear Algebra, Howard Anton, Chris Rorres, Wiley, 9th Edition. 2) Linear Algebra, Seymour Lipschutz, Shaum’s Outline Series, 2nd Edition. |
Semester Activities | Number | Weigthing |
Participation | ||
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | - | - |
Portfolio | ||
Homework / Assignments | 14 | 30 |
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 30 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 15 | 60 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 40 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
Study Hours Out of Class | 16 | 3 | |
Field Work | |||
Quizzes / Studio Critiques | - | - | |
Portfolio | |||
Homework / Assignments | 14 | 1 | |
Presentation / Jury | |||
Project | |||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 2 | 20 | |
Final Exams | 1 | 30 | |
Total | 180 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | Adequate knowledge in Mathematics, Science and Computer Engineering; ability to use theoretical and applied information in these areas to model and solve Computer Engineering problems | X | ||||
2 | Ability to identify, define, formulate, and solve complex Computer Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose | X | ||||
3 | Ability to design a complex computer based system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose | |||||
4 | Ability to devise, select, and use modern techniques and tools needed for Computer Engineering practice | |||||
5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Computer Engineering problems | X | ||||
6 | Ability to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; ability to work individually | |||||
7 | Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages | |||||
8 | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself | |||||
9 | Awareness of professional and ethical responsibility | |||||
10 | Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development | |||||
11 | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Computer Engineering solutions |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest