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2023 Faculty Courses School of Computing Department of Mathematical and Computing Science Graduate major in Mathematical and Computing Science

Seminar on Mathematical and Computing Science S1

Academic unit or major
Graduate major in Mathematical and Computing Science
Instructor(s)
Academic Supervisor
Class Format
Experiment
Media-enhanced courses
-
Day of week/Period
(Classrooms)
Seminar
Class
-
Course Code
MCS.Z491
Number of credits
002
Course offered
2023
Offered quarter
1-2Q
Syllabus updated
Jul 8, 2025
Language
Japanese

Syllabus

Course overview and goals

The student joins his/her research group, and the students take turns reading and explaining a book, or doing exercises and experiments at a much higher level than the period of the bachelor's thesis. The student writes a thesis and makes a presentation detailing his/her research results.

Course description and aims

By the end of this course, the student will able to:
1. use his/her knowledge and skill with mathematical and computing science to solve problems related to the field,
2. analyze his/her subject mathematically and express this in a logical manner.
3. understand several complex actual problems from the viewpoint of mathematical and computing science, and explain them as algorithms.
4. hold a knowledge and skill with computer architecture and software systems,
5. work as an independent researcher and have the ability to write and give presentations of his/her point of view effectively.

Keywords

seminar, exercise, experiment, research

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 schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 2 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 3 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 4 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 5 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 6 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 7 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 8 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 9 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 10 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 11 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 12 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 13 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.
Class 14 The 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 criteria and methods are in accordance with student learning outcomes (1) -- (5).

Related courses

  • 400- and 500-level course in Mathematical and Computing Science

Prerequisites

Not specified in particular