PhD. PROGRAMME OF COMPUTER ENGINEERING

Graduate Seminar(INF 690)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
INF 690 Graduate Seminar 1 0 0 2 0 8
Prerequisites
Admission Requirements
Language of Instruction English
Course Type Compulsory
Course Level Doctoral Degree
Course Instructor(s) Pınar ULUER puluer@gsu.edu.tr (Email)
Assistant
Objective This course aims to equip students with the foundational skills required to conduct research projects. It focuses on developing the ability to identify and formulate research problems, critically analyze existing literature, design and execute detailed research methodologies, and communicate findings effectively in both written and oral forms. The course also examines ethical and legal issues in academic and professional practice in R&D, as well as the commercial, managerial, and legal aspects of developing new technologies.
Content This course provides a comprehensive introduction to the development and execution of research projects in Computer Science. It begins with the formulation of a research topic/question through a systematic literature review, including reading, summarizing, and critically evaluating relevant academic work, as well as identifying key themes and research gaps. The course then covers experimental design and research methodologies, incorporating both quantitative and qualitative approaches, simulation techniques, and data collection and management practices. The students will apply the theoretical knowledge acquired to a small-scale R&D project by developing a well-structured research proposal aligned with contemporary standards in Computer Science research.
Course Learning Outcomes By the end of this course, students will be able to:
1. Identify and formulate well-defined research problems in Computer Science
2. Conduct systematic literature reviews, critically evaluate academic sources, identify key themes and research gaps
3. Design and implement appropriate research methodologies using quantitative, qualitative, and simulation-based approaches.
4. Develop and present a well-structured research proposal for a small-scale R&D project.
Teaching and Learning Methods Theory and practice, presentation, discussion, Q&A
References Walliman, N., & Walliman, N. (2010). Research Methods: The Basics: 2nd edition. Routledge. https://doi.org/10.4324/9780203836071.
Dandy, GC, Walker, DJ, Daniell, TM & Warner, RF 2008, Planning and Design of Engineering Systems. Second Edition, Taylor and Francis, Abingdon, UK, ISBN 978-0-415-40552-2.
Dodig-Crnkovic G., Scientific methods in computer science, Conference for the Promotion of Research in IT at New Universities and at University Colleges in Sweden, Skövde. 2002.
Print the course contents
Theory Topics
Week Weekly Contents
1 Foundations of Scientific Research
2 Systematic Literature Review
3 Critical Analysis and Evaluation of Research
4 Formulation of a Research Question
5 Identification of Research Gaps
6 Critical Analysis of Research Papers (Student Paper Presentations)
7 Research Methods, Techniques and Methodology in Computer Science
8 Hypothesis & Experimental Design
9 Quantitative and Qualitative Approaches
10 Analytical Techniques, Statistical Techniques and Tools for Analysing Data
11 Project Planning and Management, Risk Analysis
12 Development of Technology: R&D Projects
13 Ethical and Societal Challenges, Legal and Professional Issues, Professional Conduct and Responsibility
14 Student Project Presentations
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 2 60
Contribution of final exam to overall grade 1 40
Toplam 3 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 1 20
Midterm Examinations (including preparation) 0 0
Project 1 40
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Make-up 0 0
Toplam 2 60
No Program Learning Outcomes Contribution
1 2 3 4 5
Activities Number Period Total Workload
Class Hours 14 2 28
Working Hours out of Class 0 0 0
Assignments 0 0 0
Presentation 2 35 70
Midterm Examinations (including preparation) 0 0 0
Project 1 50 50
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 50 50
Quiz 0 0 0
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Make-up 0 0 0
Yıl Sonu 0 0 0
Hazırlık Yıl Sonu 0 0 0
Hazırlık Bütünleme 0 0 0
Total Workload 198
Total Workload / 25 7.92
Credits ECTS 8
Scroll to Top