Master's Thesis (MFGE597) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Master's Thesis MFGE597 1. Semester 0 0 0 0 80
Pre-requisite Course(s)
N/A
Course Language English
Course Type Compulsory Departmental Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Mix
Learning and Teaching Strategies Discussion, Experiment, Question and Answer, Drill and Practice, Problem Solving, Project Design/Management.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to provide a platform for the student to apply his/her knowledge within the area of manufacturing engineering by performing research oriented work. The student is required to make a research on a specified subject concerning simulation, design and implementation of advanced manufacturing technologies.
Course Learning Outcomes The students who succeeded in this course;
  • Identify, describe and analyze a problem concerning simulation, design, implementation and operation of advanced manufacturing technologies.
  • Implementation of the research study.
  • Testing and verification of the research study.
  • Write a thesis report.
Course Content Implementation and verification of the study, testing the developed research study, thesis documentation

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Regular meetings with the student and the supervisor through out the semester.

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury - -
Toplam 0 0
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 16 100 1600
Presentation/Seminar Prepration 1 100 100
Project 3 80 240
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 2004