Introduction to CAD/CAM (ME482) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to CAD/CAM ME482 Area Elective 2 1 0 3 5
Pre-requisite Course(s)
ME108
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Question and Answer, Drill and Practice.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives Course Objectives: In this course, students will gain basic knowledge of CAD and CAM, learn different geometric modeling techniques, understand the fundamentals of CNC programming, be able to define G-Code and M-Code, and gain insights into advanced topics related to CAD-CAM and Industry 4.0.
Course Learning Outcomes The students who succeeded in this course;
  • 1- Learning the fundamentals of CAD 2- Learning geometric modeling techniques 3- Gaining basic knowledge of CNC programming 4- Acquiring basic knowledge of CAM 5- Gaining insights into advanced topics related to CAD and CAM
Course Content Introduction to CAD, overview of geometric modeling techniques (wireframes, boundary representation, constructive solid geometry and hybrid modelers), parametric and variation modeling, parametric modeling of curves and surfaces (Bezier, B-spline and NURBS), introduction to CAM, CNC part programming, machining strategies, cutting tool selection, tool path generation, post-processing.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 1 Introduction Lecture notes on the course's Moodle page 2 Fundamentals of CAD Lecture notes on the course's Moodle page 3 Geometric Modeling Lecture notes on the course's Moodle page 4 Engineering Drawings Lecture notes on the course's Moodle page 5 Metal Cutting Processes Review Lecture notes on the course's Moodle page 6 Fundamentals of CNC Machines Lecture notes on the course's Moodle page 7 Midterm Exam Lecture notes on the course's Moodle page 8 Introduction to CAM Lecture notes on the course's Moodle page 9 Integration of CAD and CAM Lecture notes on the course's Moodle page 10 CNC Programming Lecture notes on the course's Moodle page 11 CNC Programming Lecture notes on the course's Moodle page 12 CNC Programming Lecture notes on the course's Moodle page 13 CAD/CAM in Industry 4.0 Lecture notes on the course's Moodle page 14 Advanced CAD/CAM Topics Lecture notes on the course's Moodle page 15 Overview Lecture notes on the course's Moodle page 16 Final Lecture notes on the course's Moodle page

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work
Percentage of Final Work 100
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 advanced knowledge in computational and/or manufacturing technologies 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. X
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. X
5 An ability to chose and use modern technologies and engineering tools for manufacturing engineering applications. X
6 Ability to perform scientific research and/or carry out innovative projects that are within the scope of manufacturing engineering. X
7 An ability to utilize information technologies efficiently to acquire datum and analyze critically, articulate the outcome and make decision accordingly. X
8 An ability to attain self-confidence and necessary organizational work skills to participate in multi-diciplinary and interdiciplinary teams as well as act individually. X
9 An ability to attain efficient communication skills in Turkish and English both verbally and orally. X
10 An ability to reach knowledge and to attain life-long learning and self-improvement skills, to follow recent advances in science and technology. X
11 An awareness and responsibility about professional, legal, ethical and social issues in manufacturing engineering. X
12 An awareness about solution focused project and risk management, enterpreneurship, innovative and sustainable development. X
13 An understanding on the effects of engineering applications on health, social and legal aspects at universal and local level during decision making process. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 4 64
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration
Project 1 13 13
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 13 13
Prepration of Final Exams/Final Jury 1 19 19
Total Workload 125