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Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechanical Engineering
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
05481111 Computer Aided Engineering Analysis 4 Spring 8 3+0+0 3 6
Course Type Elective
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) -
Instructor Assistant(s) -
Course Content
First, a brief introduction of the finite element method will be made, and the course project format will be mentioned. The importance of Computer Aided Engineering Studies in the industry will be explained. The steps of the General Roadmap that can be followed in Computer Aided Engineering Studies will be explained through an industrial example. The subject of Elastic Stress Analysis will be explained with an industrial problem or application (new design) encountered in real life. The skill of using the menus of a finite element analysis package program selected according to the content of the course will be taught to students for different analysis examples. In this way, students will be able to do their projects more easily. Education on the skill of using the Analysis Program will continue. The subject of Elastoplastic Stress Analysis will be explained with an industrial problem or application (new design) encountered in real life. The subject of Steady-State Thermal Analysis will be explained with an industrial problem or application (new design) encountered in real life. Industrial analysis examples for other types of analysis such as Fatigue, Vibration, etc. will be shown. Students will be required to present the projects they have prepared throughout the semester in class. A discussion platform will be created for each project throughout the class, thus reinforcing the intended learning outcomes of the course.
Objectives of the Course
Computer Aided Engineering (CAE) studies, industrial applications or approaches to problems, understand the causes of the problems correct, accurate detection of the analyzed input, the result of the correct interpretation can be able to reach at correct conclusions, to develop the right solutions for the problems and gaining the skills such as the ability to use necessary initiative.
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P1 Adequate knowledge of mathematics, science and mechanical engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. 4
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Analyze manufacturing problems and interpret the results. P.1.12 1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Engineering design and the design process.
2 Introduction to computer-aided engineering
3 Geometric modelling for engineering applications.
4 Numerical methods : the finite element method, the boundary element method
5 Nondimensionalization
6 Numerical methods : Structural Analysis
7 Determining Design Criteria
8 Numerical methods : Introduction to Dynamic Analysis
9 Discretization
10 Industry, manufacturing, design applications
11 Forward-Backward Difference
12 Exact Solution
13 Simflow flow analysis
14 Simufact Interface
Textbook or Material
Resources A. Tizzard, An Introduction to Computer-Aided Engineering, McGraw Hill Book, London, 1994
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Seminar - -
Quiz - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 3 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 3 42
Midterms 1 40 40
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 0 0 0
Other 1 60 60
Total Work Load: 184
Total Work Load / 30 6,13
Course ECTS Credits: 6
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1
O1 Analyze manufacturing problems and interpret the results. 4