2026 (Current Year) Faculty Courses School of Computing Department of Mathematical and Computing Science Graduate major in Mathematical and Computing Science
Seminar on Mathematical and Computing Science S4
- Academic unit or major
- Graduate major in Mathematical and Computing Science
- Instructor(s)
- Academic Supervisor
- Class Format
- Exercise
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - Seminar
- Class
- -
- Course Code
- MCS.Z693
- Number of credits
- 020
- Course offered
- 2026
- Offered quarter
- 1-2Q
- Syllabus updated
- Apr 14, 2026
- Language
- Japanese
Syllabus
Course overview and goals
Based on the specialized knowledge and research skills acquired through the master's program, the student sets his/her own research topic, surveys previous studies, plans the research, carries it out, and analyzes and discusses the results through seminar discussions and exercises. The student summarizes the research results in a doctoral dissertation and develops them further through presentations and discussions.
Course description and aims
By the end of this course, the student will be able to:
1. use knowledge and skill as a professional of mathematical and computing science.
2. produce many original ideas on his/her subject and develop them as new research areas.
3. give conference presentations and attend scientific contests as an independent researcher, and have the ability to write papers and give presentations on his/her own research effectively.
Keywords
research, seminar, presentation, experiment
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
The student will conduct laboratory work under the guidance of his/her academic supervisor. The course schedule is determined through discussions with the academic supervisor.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | The course schedule is determined through discussions with the academic supervisor. |
Understand the contents covered by the lecture. |
Study advice (preparation and review)
Textbook(s)
Not specified in particular
Reference books, course materials, etc.
Not specified in particular
Evaluation methods and criteria
Assessment critera and methods are in accordance with student learning outcomes (1) -- (3).
Related courses
- 600-level course in Mathematical and Computing Science
Prerequisites
Not specified in particular