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 Gains the ability to apply advanced computational and/or manufacturing technology knowledge to solve manufacturing engineering problems. X
2 Develops the ability to analyze and define issues related to manufacturing technologies. X
3 Develops an approach for solving encountered engineering problems, and designs and conducts models and experiments. X
4 Designs and manufactures a comprehensive manufacturing system —including method, product, or device development— based on the creative application of fundamental engineering principles, under constraints of economic viability, environmental sustainability, and manufacturability. X
5 Selects and uses modern techniques and engineering tools for manufacturing engineering applications. X
6 Performs research in manufacturing engineering and implements projects involving innovative manufacturing technologies. X
7 Effectively uses information technologies to collect and analyze data, think critically, interpret results, and make sound decisions. X
8 Works effectively as a member of multidisciplinary and intra-disciplinary teams or individually; demonstrates the confidence and organizational skills required. X
9 Communicates effectively in both spoken and written Turkish and English. X
10 Engages in lifelong learning, accesses information, keeps up with the latest developments in science and technology, and continuously renews oneself. X
11 Demonstrates awareness and a sense of responsibility regarding professional, legal, ethical, occupational safety, and social issues in the field of Manufacturing Engineering. X
12 Effectively utilizes resources (personnel, equipment, costs) to enhance national competitiveness and improve manufacturing industry productivity; conducts solution-oriented project and risk management; and demonstrates awareness of entrepreneurship, innovation, and sustainable development. X
13 Gathers knowledge about the health, environmental, social, and legal impacts of engineering practices at both global and local levels when making decisions. 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