ECTS - Introduction to Computer Aided Engineering
Introduction to Computer Aided Engineering (MFGE121) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Introduction to Computer Aided Engineering | MFGE121 | 1 | 2 | 0 | 2 | 4 |
| Pre-requisite Course(s) |
|---|
| None |
| Course Language | English |
|---|---|
| Course Type | N/A |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Question and Answer, Drill and Practice. |
| Course Lecturer(s) |
|
| Course Objectives | • To give insight of basic computations and programming in view of calculus and engineering practice. • To make the students more integrated with calculus through a different media: computer. • To teach the fundamentals of MATLAB® programming environment which will be employed in later academic and professional future. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Introduction to computers and computing systems, MATLAB® environment, basic operations, arrays, vectors and matrices, calculus with MATLAB®, fuctions, graphics, MATLAB® programming ?loops and other programming commands. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to Computers and Computing systems | Lecture notes |
| 2 | MATLAB® environment, Scalar arithmetic operations, Precedence of arithmetic operators. | Lecture notes |
| 3 | Getting Help in MATLAB® . Saving and loading workspace variables, mat-files. Special names and predefined constants in MATLAB®. | Lecture notes |
| 4 | Variables and assignment statements. Managing variables in MATLAB®. | Lecture notes |
| 5 | Basic mathematical functions. Trigonometric, inverse trigonometric and some numerical functions in MATLAB®. | Lecture notes |
| 6 | Brief introduction to vectors and matrices in linear algebra. | Lecture notes |
| 7 | Vectors and Matrix operations in MATLAB®. | Lecture notes |
| 8 | Plotting in MATLAB®. | Lecture notes |
| 9 | User defined functions and m-Files in MATLAB®. | Lecture notes |
| 10 | MATLAB® Programming – Program Control structures. | Lecture notes |
| 11 | MATLAB® Programming – Reading and writing. | Lecture notes |
| 12 | MATLAB® Programming – Loops and Other programming commands. | Lecture notes |
| 13 | MATLAB® Programming – Loops and Other programming commands. | Lecture notes |
| 14 | MATLAB® Programming applications. | Lecture notes |
| 15 | Final exam period | |
| 16 | Final exam period |
Sources
| Other Sources | 1. Lecture Notes/Ders Notları |
|---|---|
| 2. Matlab Help Documentation/MATLAB® Yardım Dokümanı | |
| 3. Various sources from internet/İnternetten çeşitli kaynaklar | |
| 4. Introduction to MATLAB® for Engineers, McGraw Hill, William J. Palm, 2011. | |
| 5. MATLAB® Programming with Applications for Engineers, CENGAGE Learning, Steven J. Chapman, 2013. | |
| 6. MATLAB® - A Practical Introduction to Programming and Problem Solving, Butterworth-Heinemann, Stormy Attaway, 2017 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | 4 | 20 |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 4 | 10 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 40 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 11 | 100 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | An ability to apply knowledge in mathematics and basic sciences and computational skills to solve manufacturing engineering problems | X | ||||
| 2 | An ability to define and analyze issues related with manufacturing technologies | X | ||||
| 3 | An ability to develop a solution based approach and a model for an engineering problem and design and manage an experiment | |||||
| 4 | An ability to design a comprehensive manufacturing system based on creative utilization of fundamental engineering principles while fulfilling sustainability in environment and manufacturability and economic constraints | |||||
| 5 | An ability to chose and use modern technologies and engineering tools for manufacturing engineering applications | X | ||||
| 6 | An ability to utilize information technologies efficiently to acquire datum and analyze critically, articulate the outcome and make decision accordingly | X | ||||
| 7 | An ability to attain self-confidence and necessary organizational work skills to participate in multi-diciplinary and interdiciplinary teams as well as act individually | |||||
| 8 | An ability to attain efficient communication skills in Turkish and English both verbally and orally | X | ||||
| 9 | An ability to reach knowledge and to attain life-long learning and self-improvement skills, to follow recent advances in science and technology | X | ||||
| 10 | An awareness and responsibility about professional, legal, ethical and social issues in manufacturing engineering | |||||
| 11 | An awareness about solution focused project and risk management, enterpreneurship, innovative and sustainable development | |||||
| 12 | An understanding on the effects of engineering applications on health, social and legal aspects at universal and local level during decision making process | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 2 | 32 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 4 | 3 | 12 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 4 | 8 |
| Prepration of Final Exams/Final Jury | 1 | 6 | 6 |
| Total Workload | 106 | ||