CHE453 COMPUTER APPLICATIONS IN CHEMICAL ENGINEERING

Course Code:5630453
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:5.0
Department:Chemical Engineering
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:
Offered Semester:Fall Semesters.

Course Objectives

At the end of the class, the student will learn:

  • To identify classes of numerical problems and solutions common to chemical engineering.
  • To suggest solution methods to solve such problems.
  • To solve example problems using contemporary numerical computing environments and software.

Course Content

The use of contemporary computational tools, techniques and algorithms for advanced computations in chemical engineering, illustrated with case studies. Topics include: comtemporary numerical computing environments, computational complexity, model checking, linear and non-linear systems, systems of ordinary/partial differential equations, classical and probabilistic parameter estimation, optimization and visualization.


Course Learning Outcomes

Students who successfully complete this course will be able to:

  • Identify numerical problem types that typically arise from chemical engineering processes and phenomena.
  • Propose solutions for problems involving linear systems of equations, nonlinear systems of equations and differential equations.
  • Demonstrate ability in solving such equations using contemporary computing software.

Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2An 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
3An ability to communicate effectively with a range of audiences
4An 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
5An 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
6An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7An ability to acquire and apply new knowledge as needed, using appropriate learning strategies