CENG371 SCIENTIFIC COMPUTING
| Course Code: | 5710371 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. MURAT MANGUOĞLU |
| Offered Semester: | Fall Semesters. |
Course Objectives
The aim of the course is to teach students the numerical solutions of the problems mentioned in the description with examples taken from engineering problems, to show how to handle these problems numerically and solve them by designing efficient algorithms on the computer systems.
Course Content
Accuracy in numerical analysis. The sources and propagations of errors. Solution of non-linear equations. Interpolating polynomials. Solution of linear algebraic equations. Least squares curve fitting. Numerical integration.
Course Learning Outcomes
This course is an introduction to Scientific Computing. Emphasis of the course is on algorithms that play a very important role in several areas of Computer Science such as data analytics, machine learning, computer graphics and others. We will incorparate illustrations from real world applications mostly from Computer Science and other areas of science and engineering
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 | ✔ | |||