ECTS - Master's Thesis
Master's Thesis (SE597) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Master's Thesis | SE597 | 1. Semester | 0 | 0 | 0 | 0 | 80 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Compulsory Departmental Courses |
Course Level | Natural & Applied Sciences Master's Degree |
Mode of Delivery | |
Learning and Teaching Strategies | Lecture, Discussion, Experiment, Drill and Practice, Problem Solving. |
Course Lecturer(s) |
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Course Objectives | |
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; requirement analysis; design; implementation; testing; thesis documentation. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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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 | |
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Major Area Courses | X |
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 of computing and/or informatics to solve software engineering problems. | X | ||||
2 | Develop solutions using different technologies, software architectures and life-cycle approaches. | X | ||||
3 | An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices. | X | ||||
4 | An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements. | X | ||||
5 | Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects. | X | ||||
6 | An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain. | X | ||||
7 | An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | X | ||||
8 | Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies. | X | ||||
9 | An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | X | ||||
10 | Promote the development, adoption and sustained use of standards of excellence for software engineering practices. | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | 32 | 11 | 352 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 32 | 48 | 1536 |
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 | 2008 |