Graduation Project (MFGE500) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Graduation Project MFGE500 1. Semester 0 0 0 0 40
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 Face To Face
Learning and Teaching Strategies Discussion, Experiment, Question and Answer, Problem Solving, Project Design/Management.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to realize a manufacturing engineering project that is of an applied nature, containing all the phases of an engineering design problem. The course leads the students to use the knowledge they gained during their studies in the department and present their work.
Course Learning Outcomes The students who succeeded in this course;
  • Conducting literature review on the project topic.
  • Practice the whole cycle of engineering design process within an iterative framework.
  • Design of a process, component or experiment fulfilling the requirements and goals.
Course Content Conducting literature survey on the project topic, realizing the analysis and (preliminary) design of the component/process/experiment and documentation in an acceptable engineering format, presentation of the project progress.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 This is a non-lecture course. Project supervisor and the student meet on a regular basis to discuss project related issues.

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 100
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury - -
Toplam 1 100
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 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 52 832
Presentation/Seminar Prepration 1 20 20
Project 1 100 100
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 1000