IE206 SCIENTIFIC COMPUTING FOR INDUSTRIAL ENGINEERING
| Course Code: | 5680206 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (2.00 - 2.00) |
| ECTS Credit: | 5.0 |
| Department: | Industrial Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. CEM İYİGÜN |
| Offered Semester: | Spring Semesters. |
Course Objectives
- Comprehend basics principles of programming.
- Develop/design numerical algorithms and evaluate the computational results via graphical representations.
- Apply scientific computing skills to various industrial engineering problems.
Course Content
Computer arithmetic. Vectors and matrices. Numerical, symbolic, and graphical capabilities of MATLAB. Execution control and data structures. User-defined and built-in functions. Developing algorithms and programming. Recursion, searching and sorting. Complexity of algorithms and performance analysis. Function approximation, integration, and differentiation by numerical methods. Solution of systems of equations. Graph search and network algorithms. Random number generation and statistical applications. Visualization and plotting of results.
Course Learning Outcomes
- Get fluent in the use of procedural statements – assignments, conditional statements, loops, function calls and arrays.
- Be able to design, code and test programs.
- Have knowledge of the concepts of object-oriented programming as used in MATLAB: classes, subclasses, properties and inheritance. Have knowledge of basic sorting and searching algorithms.
- Have knowledge of basic vector and matrix computations.
- Have a working familiarity with graphics tools.
- Be able to code basic network algorithms.
- Be able to code recursion algorithms for basic dynamic programming problems and simulation.
- Be able use computing for statistical application.
Program Outcomes Matrix
| Contribution |
| # | Program Outcomes | No | Yes |
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | | ✔ |
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |
| 8 | An ability to design, analyze, operate, and improve integrated systems that produce and/or supply products and/or services in an effective, efficient, sustainable, and socially responsible manner | ✔ | |
| 9 | An ability to apply critical reason and systems thinking in problem solving and systems design | ✔ | |
| 10 | An ability to use scientific methods and tools (such as mathematical models, statistical methods and techniques) necessary for industrial engineering practice | | ✔ |
