2019 Seminar on Mathematical and Computing Science S1

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Academic unit or major
Graduate major in Mathematical and Computing Science
Instructor(s)
Academic Supervisor 
Course component(s)
Day/Period(Room No.)
Seminar ()  
Group
-
Course number
MCS.Z491
Credits
2
Academic year
2019
Offered quarter
1-2Q
Syllabus updated
2019/3/18
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

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.

Student learning outcomes

By the end of this course, the student will able to:
1. use his/her knowege 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 knowlege 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 that will be developed

Intercultural skills Communication skills Specialist 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/Required learning

  Course schedule Required learning
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.
Class 15 The schedule is determined through discussions with the academic supervisor. Understand the contents covered by the lecture.

Textbook(s)

Not specified in particular

Reference books, course materials, etc.

Not specified in particular

Assessment criteria and methods

Assessment critera and methods are in accordance with student learning outcomes (1)--(5).

Related courses

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

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Not specified in particular

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