CHE550 CHEMICAL ENGINEERING MATHEMATICS
Course Code: | 5630550 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 8.0 |
Department: | Chemical Engineering |
Language of Instruction: | English |
Level of Study: | Graduate |
Course Coordinator: | Prof.Dr. HAYRETTİN YÜCEL |
Offered Semester: | Fall Semesters. |
Course Objectives
• Bridge the gap between mathematics and application
• Review of mathematics
• Practice in formulation of problems
• Introduction to some new techniques in engineering mathematics
• Aid in reading the scientific and engineering literature
Course Content
Macroscopic balances and elementary formulation of physical problems. Application of complex variable theory and Laplace transforms. Rigorous application of partial differential equations. Matrices and their application to staged processes. Vectors and tensors. Coordinate systems. Calculus of variations, including some optimization methods. Application of these methods to chemical engineering problems.
Course Learning Outcomes
Program Outcomes Matrix
Contribution | |||||
# | Program Outcomes | No | Yes | ||
1 | Acquire knowledge in depth and breadth via scientific research in their field; evaluate, interpret and apply this knowledge. | ✔ | |||
2 | Are thoroughly informed about current techniques and methods of engineering, and their limitations. | ✔ | |||
3 | Complement and apply uncertain, limited or incomplete knowledge using scientific methods; are capable of integrating knowledge from different disciplines. | ✔ | |||
4 | Are aware of the new and developing applications of their profession; can study and learn about these applications when necessary. | ✔ | |||
5 | Can define and formulate problems relevant to their field, develop solutions to solve these problems and employ innovative methods for these solutions. | ✔ | |||
6 | Develop new and/or original ideas and methods; design complex processes and develop innovative/alternative solutions in design. | ✔ | |||
7 | Design and apply theoretical, experimental and model-based research; analyze and resolve complex problems that arise during this process. | ✔ | |||
8 | Can effectively function within intra- and interdisciplinary teams, can lead such teams and formulate solution approaches under complex situations; can work independently and assume responsibility. | ✔ | |||
9 | Can communicate verbally or in written form in a non-native language, at least at level B2 of the European Language Portfolio. | ✔ | |||
10 | Can communicate the progress and results of their studies systematically and clearly in oral or written form, in national or international forums related to their area or others. | ✔ | |||
11 | Are informed and aware of the limitations of social, environmental, health and safety-related and legal dimensions on engineering applications. | ✔ | |||
12 | Uphold social, scientific and ethical values in acquisition, interpretation and communication of data and in all activities related to their profession. | ✔ |