Master's Thesis (CMPE597) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Master's Thesis CMPE597 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 Face To Face
Learning and Teaching Strategies .
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 computer 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;
  • Apply research methodologies
  • Identify, describe and analyze a problem
  • Perform a literature survey on thesis topic
  • Plan his/her own work throughout the thesis
  • Write a progress report
Course Content Problem identification and analysis, research methodologies, literature survey, typical phases of the system development life cycle, progress report.

Weekly Subjects and Releated Preparation Studies

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

Sources

Other Sources 1. Ian Sommerville, Software Engineering , Addison-Wesley, 2007, ISBN: 032131379-8
2. Roger S. Pressman, Software Engineering:A Practitioner's Approach. McGraw-Hill Science/Engineering/Math; ISBN: 007301933X
3. IEEE Standard for Software Project Management Plans, Std 1058-1998.
4. IEEE Standard for Software Requirement Specification, Std 830.
5. IEEE Standard for Software Design Document, Std 1016.
6. IEEE Standard for Software Test Document, Std 829.

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 knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyse and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains. X
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively. X
8 Recognition of the need for, and an ability to engage in life-long learning. X
9 A knowledge of contemporary issues. X
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems. X
13 Skills that contribute to professional knowledge. X
14 An ability to make methodological scientific research. X
15 An ability to produce, report and present an original or known scientific body of knowledge. X
16 An ability to defend an originally produced idea. 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