Master's Thesis (IE597) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Master's Thesis IE597 0 0 0 0 80
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Distance, Face To Face
Learning and Teaching Strategies Discussion, Question and Answer, Drill and Practice, Observation Case Study, Problem Solving, Brain Storming, 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 industrial engineering by performing research oriented work, thus obtaining deepened methodological knowledge in the subject area.
Course Learning Outcomes The students who succeeded in this course;
Course Content Problem identification and analysis, research methodologies, literature survey, typical phases of the system development life cycle, progress report, research methodologies, implementation, testing, typical phases of the system development life cycle, thesis documentation.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation

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
Major Area Courses
Supportive Courses X
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 Ability to apply the acquired knowledge in mathematics, science and engineering
2 Ability to identify, formulate and solve complex engineering problems
3 Ability to accomplish the integration of systems
4 Ability to design, develop, implement and improve complex systems, components, or processes
5 Ability to select/develop and use suitable modern engineering techniques and tools
6 Ability to design/conduct experiments and collect/analyze/interpret data
7 Ability to function independently and in teams
8 Ability to make use of oral and written communication skills effectively
9 Ability to recognize the need for and engage in life-long learning
10 Ability to understand and exercise professional and ethical responsibility
11 Ability to understand the impact of engineering solutions
12 Ability to have knowledge of contemporary issues

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 100 1600
Presentation/Seminar Prepration 1 100 100
Project
Report
Homework Assignments 1 100 100
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 100 100
Prepration of Final Exams/Final Jury 1 100 100
Total Workload 2000