ECTS - Research Methods in Software Engineering
Research Methods in Software Engineering (SE600) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Research Methods in Software Engineering | SE600 | Area Elective | 2 | 2 | 0 | 3 | 7.5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Natural & Applied Sciences Master's Degree |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Discussion, Question and Answer. |
Course Lecturer(s) |
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Course Objectives | The objective of this course is to provide and understanding of research methods and their implementation on the field of software engineering |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Rigorous, scholarly research, particularly theses or dissertations; literature review; surveys; meta-analysis; empirical research design; formulating research questions; theory building; qualitative and quantitative data collection and analysis methods; validity; reliability; triangulation; building evidences; writing research proposal and publica |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Science and Technology | Chapter 1 |
2 | Philosophical Context | Chapter 3, Chapter 4, Chapter 5 |
3 | Components of a Research Study design and Ethics in information system | Chapter 2, Chapter 6 |
4 | Literature review, writing reflection paper | |
5 | Preparing a Research Proposal | Chapter 7, Chapter 8 |
6 | Research Methodologies | Chapter 17 |
7 | Research Methodologies | Chapter 18 |
8 | Research Methodologies | Chapter 19 |
9 | Research Methodologies | Chapter 20 |
10 | Case study | |
11 | Data Analysis Methods | Chapter 9, Chapter 10 |
12 | Data Analysis Methods | Chapter 11, Chapter 12 |
13 | Data Analysis Methods | Chapter 13, Chapter 14 |
14 | Data Analysis Methods | Chapter 15 |
15 | Research Proposal Presentations | |
16 | Research Proposal Presentations |
Sources
Course Book | 1. Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems, Manuel Mora, Ovsei Gelman, Annette L. Steenkamp and Mahesh Raisinghani, 2012, ISBN13: 9781466601796, InfoSci-OnDemand |
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2. Leedy P.D. And Ormrod J.E. 2005, Practical Research Planning And Design, 8th, Pearson Merill Prentice Hall. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | 1 | 10 |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 10 | 35 |
Presentation | - | - |
Project | 1 | 30 |
Report | - | - |
Seminar | 1 | 25 |
Midterms Exams/Midterms Jury | - | - |
Final Exam/Final Jury | - | - |
Toplam | 13 | 100 |
Percentage of Semester Work | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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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 |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | |||
Laboratory | 16 | 2 | 32 |
Application | |||
Special Course Internship | |||
Field Work | 1 | 24 | 24 |
Study Hours Out of Class | 16 | 5 | 80 |
Presentation/Seminar Prepration | 1 | 5 | 5 |
Project | 1 | 25 | 25 |
Report | |||
Homework Assignments | 10 | 3 | 30 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | |||
Prepration of Final Exams/Final Jury | |||
Total Workload | 196 |