Computer Applications In Environmental Engineering
Environmental Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Computer Applications In Environmental Engineering | CEV319 | Elective | Bachelor's degree | 3 | Fall | 5 |
Name of Lecturer(s)
Assistant Prof. Dr. Recep Kaya GÖKTAŞ
Learning Outcomes of the Course Unit
1) Develops an understanding of the contribution of computer applications in solving environmental engineering problems.
2) Develops skills to choose the right computer application for the problem at hand.
3) Develops skills for using the proper computer applications as problem solving tools.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||
| 1 | 2 | 3 | 4 | ||
| Learning Outcomes | |||||
| 1 | Middle | Middle | No relation | No relation | |
| 2 | Middle | High | No relation | No relation | |
| 3 | High | High | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Computer Programming
Course Contents
Introduction to the use of computer-based applications in environmental engineering, using generic tools such as spread-sheets, equation solvers and data visualization applications. Discussion of the role of computer-based methods in environmental engineering practice.
Weekly Schedule
1) Introduction.2) Introduction to Spreadsheets.
3) Entering and Editing Data in a Spreadsheet.
4) Entering and Editing Formulas in a Spreadsheet.
5) Functions in a Spreadsheet.
6) Spreadsheet Formating.
7) Charts in a Spreadsheet.
8) Mathematical Problem-Solving Using Spreadsheets.
9) Introduction to Matlab.
10) Plotting in Matlab.
11) Scripts and User-Defined Functions in Matlab.
12) Program Flow Control in Matlab.
13) Solving ODEs in Matlab.
14) Interpolation and Curve-Fitting in Matlab.
15) Final Exam.
Recommended or Required Reading
1- Essential MATLAB for Engineers and Scientists, 5th Edition. 2013. Hahn, B. and Valentine, D.
2- http://home.hit.no/~hansha/ (The website of Hans-Petter Halvorsen from Telemark University College)
Planned Learning Activities and Teaching Methods
1) Lecture
2) Drill and Practice
3) Demonstration
4) Lab / Workshop
5) Self Study
6) Problem Solving
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
70% |
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Contribution of Final Examination to Course Grade |
30% |
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Total | 100% | ||||||||||||||
Language of Instruction
English
Work Placement(s)
Not Required