| Course Name |
Research Design and Methods in Applied Mathematics and Statistics
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
MATH 512
|
Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
|||||
| Course Language |
English
|
|||||
| Course Type |
Required
|
|||||
| Course Level |
Second Cycle
|
|||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | DiscussionLecture / Presentation | |||||
| National Occupation Classification | - | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | ||||||
| Course Objectives | This course introduces core principles of research design, scientific inquiry, and ethical standards in applied mathematics and statistics. It equips students with practical skills in computational tools, LaTeX, responsible AI use, and preparing manuscripts for peer-reviewed journals. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | This course explores research design and scientific methodology in applied mathematics and statistics. Topics include conceptual frameworks of research, types of inquiry, scientific writing, and ethics in research. Students will learn literature review strategies, principles of report preparation, and manuscript writing in mathematics. The course also emphasizes computational tools and AI-supported workflows for research productivity. Practical sessions include LaTeX, programming environments, and database usage. This course explores research design and scientific methodology in applied mathematics and statistics. Topics include conceptual frameworks of research, types of inquiry, scientific writing, and ethics in research. Students will learn literature review strategies, principles of report preparation, and manuscript writing in mathematics. The course also emphasizes computational tools and AI-supported workflows for research productivity. Practical sessions include LaTeX, programming environments, and database usage. This course explores research design and scientific methodology in applied mathematics and statistics. Topics include conceptual frameworks of research, types of inquiry, scientific writing, and ethics in research. Students will learn literature review strategies, principles of report preparation, and manuscript writing in mathematics. The course also emphasizes computational tools and AI-supported workflows for research productivity. Practical sessions include LaTeX, programming environments, and database usage. |
| Related Sustainable Development Goals |
|
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
| Week | Subjects | Related Preparation |
| 1 | Introduction to research: meaning, concept, and conceptual framework | Marder, M. P. (2011). Research Methods for Science (2nd ed.). Cambridge University Press. Ch. 1 |
| 2 | Ethics in research | Adams, Kathrynn A.; McGuire, Eva K. (2022). Research Methods, Statistics, and Applications (3rd ed.), Ch.1 |
| 3 | AI and ethics in scientific research | Çelik, Özgür. Demystifying Ethical Use of AI in Academic Writing: A Scenario-Based Approach, Ch. 1 |
| 4 | Understanding AI and Ethics in Academic Writing | Çelik, Özgür. Demystifying Ethical Use of AI in Academic Writing: A Scenario-Based Approach, Ch. 1 |
| 5 | The Methodology of Mathematics | Brown, Ronald; Porter, Timothy. The Methodology of Mathematics (1995) |
| 6 | Research Desing in Statistics | Adams, Kathrynn A.; McGuire, Eva K. (2022). Research Methods, Statistics, and Applications (3rd ed.) Ch.4 |
| 7 | Literature review: MathSciNet, JSTOR, Web of Science, Scopus | Çelik, Özgür. Demystifying Ethical Use of AI in Academic Writing: A Scenario-Based Approach, Ch. 1 |
| 8 | Midterm | |
| 9 | General guidelines on scientific report writing | Michael J. Katz. From Research to Manuscript: A Guide to Scientific Writing. Springer, 2009. Part II Chapters 1-2 |
| 10 | General guidelines on scientific report writing (research paper) | Michael J. Katz. From Research to Manuscript: A Guide to Scientific Writing. Springer (2009). Part III Chapters 1-4 |
| 11 | General guidelines on scientific report writing (research paper) | Michael J. Katz. From Research to Manuscript: A Guide to Scientific Writing. Springer (2009). Part III Chapters 1-4 |
| 12 | Programming and computational tools for research in mathematics and statistics: MATLAB, Python, R, Mathematica (advantages, disadvantages, workflows) | Michael J. Katz. From Research to Manuscript: A Guide to Scientific Writing. Springer, 2009, Part III and MATLAB/Python Documentation |
| 13 | Integrating computational tools, AI, and research workflow | Michael J. Katz. From Research to Manuscript: A Guide to Scientific Writing. Springer, 2009, Part III and MATLAB/Python Documentation |
| 14 | LaTeX software: writing equations, tables, figures | Stefan Kottwitz. LaTeX Beginner’s Guide. 2nd edition. Packt Publishing (2021). |
| 15 | Student project presentations | |
| 16 | Student project presentations |
| Course Notes/Textbooks | Marder, M. P. (2011). Research Methods for Science (2nd ed.). Cambridge University Press. ISBN 978-0-521-18614-1. Adams, Kathrynn A.; McGuire, Eva K. (2022). Research Methods, Statistics, and Applications (3rd ed.). SAGE Publications. ISBN-13 978-1071817834. Brown, Ronald; Porter, Timothy. The Methodology of Mathematics. The Mathematical Gazette, Volume 79, Issue 485, July 1995, pp. 232–246. Çelik, Özgür. Demystifying Ethical Use of AI in Academic Writing: A Scenario-Based Approach. Ihlamur Akademi, 2025. ISBN 978-6256633568. Stefan Kottwitz. LaTeX Beginner’s Guide. 2nd edition. Packt Publishing, 2021. ISBN 978-1801078658. Michael J. Katz. From Research to Manuscript: A Guide to Scientific Writing. Springer, 2009. ISBN 978-1402094668. |
| Suggested Readings/Materials | MathSciNet, JSTOR, Web of Science, Scopus (databases) Selected research articles provided throughout the semester N. J. Higham. Handbook of Writing for the Mathematical Sciences. SIAM, 1998. ISBN 978-0898714203. |
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
1
|
30
|
| Presentation / Jury | ||
| Project |
1
|
40
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam |
1
|
|
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
100
|
| Weighting of End-of-Semester Activities on the Final Grade | ||
| Total |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
14
|
3
|
42
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
1
|
40
|
40
|
| Presentation / Jury |
0
|
||
| Project |
1
|
50
|
50
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
45
|
45
|
| Final Exam |
1
|
0
|
|
| Total |
225
|
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
|||||||
|
1
|
2
|
3
|
4
|
5
|
|||||
| 1 |
|
-
|
-
|
-
|
-
|
-
|
|||
| 2 |
|
-
|
-
|
X
|
-
|
-
|
|||
| 3 |
|
-
|
-
|
-
|
-
|
-
|
|||
| 4 |
|
-
|
X
|
-
|
-
|
-
|
|||
| 5 |
|
-
|
-
|
X
|
-
|
-
|
|||
| 6 |
|
-
|
-
|
-
|
X
|
-
|
|||
| 7 |
|
-
|
-
|
-
|
-
|
X
|
|||
| 8 |
|
-
|
-
|
-
|
-
|
-
|
|||
| 9 |
|
-
|
X
|
-
|
-
|
-
|
|||
| 10 |
|
-
|
-
|
-
|
-
|
-
|
|||
| 11 |
|
-
|
-
|
-
|
-
|
-
|
|||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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