| Course Name | Code | Semester | T+U Hours | Credit | ECTS |
|---|---|---|---|---|---|
| Applied Engineering Mathematics | ENM 501 | 1 | 3 + 0 | 3 | 6 |
| Precondition Courses | |
| Recommended Optional Courses | |
| Course Language | English |
| Course Level | YUKSEK_LISANS |
| Course Type | Compulsory |
| Course Coordinator | Dr.Öğr.Üyesi ABDULLAH HULUSİ KÖKÇAM |
| Course Lecturers | Dr.Öğr.Üyesi ABDULLAH HULUSİ KÖKÇAM, |
| Course Assistants | |
| Course Category | Teaching Suitable For Field |
| Course Objective | This course aims to obtain working knowledge on the use of the MATLAB software environment in solving engineering problems, including programming and numerical analysis techniques. |
| Course Content | Fundamental knowledge and practical skills will be given to use MATLAB effectively in technical numerical calculations and visualization. Within the scope of the course, students will solve a real engineering problem and prepare an article. The course will focus on vectors, matrices, data analysis, logic functions, mathematical functions, loop and conditional statements, algorithms and programming, curve fitting, linear and non-linear equation systems, numerical optimization through MATLAB software. |
| Development Goals |
|---|
|
| # | Course Learning Outcomes | Teaching Methods | Assessment Methods |
|---|---|---|---|
| 1 | Able to use fundamental features of MATLAB as a programming tool and easily handle the software. | Lecture, Sightseeing, Discussion, | |
| 2 | Knows memory and file management in MATLAB. | Discussion, Question-Answer, Sightseeing, Lecture, | |
| 3 | Able to generate plots and export this for use in reports and presentations. | Discussion, Question-Answer, Sightseeing, Lecture, | |
| 4 | Able to write scripts and functions using the MATLAB development environment. | Discussion, Question-Answer, Sightseeing, Lecture, | |
| 5 | Able to use flow controls (if-else, for, while, switch, try-catch). | Discussion, Question-Answer, Sightseeing, Lecture, | |
| 6 | Familiar with strings and matrices and their use. | Discussion, Question-Answer, Sightseeing, Lecture, | |
| 7 | Able to analyze, model, solve and interpret various engineering problems with MATLAB. | Discussion, Brain Storming, Question-Answer, Sightseeing, Lecture, | |
| 8 |
| Week | Course Topics | Preliminary Preparation |
|---|---|---|
| 1 | Course introduction, Introduction to MATLAB | |
| 2 | MATLAB files and file management, Data management | |
| 3 | Arrays: Vectors and matrices, Operations on arrays | |
| 4 | Loop and condition statements | |
| 5 | Algorithm and programming | |
| 6 | Functions | |
| 7 | Graphics | |
| 8 | Polynomials, curve fitting and interpolation | |
| 9 | Basic statistics and data analysis | |
| 10 | Numerical analysis applications | |
| 11 | Symbolic operations | |
| 12 | Graphical interface | |
| 13 | Paper Presentations | |
| 14 | Paper Presentations |
| Resources | |
|---|---|
| Course Notes | |
| Course Resources | 1. Turk, I., "Practical MATLAB With Modeling, Simulation, and Processing Projects", 2019. |
| Week | Documents | Description | size |
|---|---|---|---|
| 0 | ENM501-Course_Introduction.pdf | 0 MB |
| Order | Program Outcomes | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Introduces scientific, technological, social or cultural advances in his/her field in national and international scientific environments (meetings) in order to contribute to the society to become an information society and to provide solutions to social, scientific, cultural and ethical problems. | ||||||
| 2 | To be able to reach information in breadth and depth by conducting scientific research in the field, to have comprehensive knowledge about current techniques and methods in the field and their limitations, and to evaluate, interpret and apply the information obtained. | X | |||||
| 3 | Defines and formulates problems related to the field, develops new and / or original ideas and methods; designs complex systems or processes and uses innovative / alternative solutions and emerging innovative methods in their designs. | X | |||||
| 4 | Designs and implements theoretical, experimental and modelling based researches, completes uncertain, limited or incomplete data with scientific methods; observes social, scientific and ethical values in the stages of collecting, interpreting and announcing data and in all professional activities. | X | |||||
| 5 | To be able to work effectively together or independently in disciplinary and multidisciplinary teams and take responsibility. To be aware of the social, environmental, health, safety, security, legal aspects, and business life practices of the applications in the field and to be aware of the limitations imposed by these. To be able to work effectively together or independently in disciplinary and multidisciplinary teams and take responsibility. | X | |||||
| # | Contribution of Course Learning Outcomes to Program Outcomes | PÇ 1 | PÇ 2 | PÇ 3 | PÇ 4 | PÇ 5 |
|---|---|---|---|---|---|---|
| 1 | Able to use fundamental features of MATLAB as a programming tool and easily handle the software. | 5 | ||||
| 2 | Knows memory and file management in MATLAB. | 5 | ||||
| 3 | Able to generate plots and export this for use in reports and presentations. | 5 | ||||
| 4 | Able to write scripts and functions using the MATLAB development environment. | 5 | ||||
| 5 | Able to use flow controls (if-else, for, while, switch, try-catch). | 5 | ||||
| 6 | Familiar with strings and matrices and their use. | 5 | ||||
| 7 | Able to analyze, model, solve and interpret various engineering problems with MATLAB. | 5 | 5 | 5 | ||
| 8 | 5 |
| Evaluation System | |
|---|---|
| Semester Studies | Contribution Rate |
| 1. Ödev | 15 |
| 2. Ödev | 15 |
| 3. Ödev | 15 |
| 4. Ödev | 15 |
| 1. Performans Görevi (Seminer) | 40 |
| Total | 100 |
| 1. Final | 50 |
| 1. Yıl İçinin Başarıya | 50 |
| Total | 100 |
| ECTS - Workload Activity | Quantity | Time (Hours) | Total Workload (Hours) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Assignment | 4 | 5 | 20 |
| Final examination | 1 | 10 | 10 |
| Performance Task (Seminar) | 1 | 24 | 24 |
| Total Workload | 150 | ||
| Total Workload / 25 (Hours) | 6 | ||
| dersAKTSKredisi | 6 | ||