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2025 (Current Year) Faculty Courses School of Computing Creative process courses

Processes for creation in science and technology 【School of Computing】

Academic unit or major
Creative process courses
Instructor(s)
Naoto Miyoshi / Jun Sakuma / Toshio Endo / Masaaki Umehara / Katsuki Fujisawa
Class Format
Lecture (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
5-6 Tue
Class
-
Course Code
XCO.P101
Number of credits
100
Course offered
2025
Offered quarter
2Q
Syllabus updated
Mar 19, 2025
Language
Japanese

Syllabus

Course overview and goals

This course aims to provide students with an opportunity to experience lectures and exercises on cutting-edge research performed in School of Computing. It also intends to show how learning and research in university are related to the frontiers of academia and real world. Through this course, students are expected to have an occasion to think about their choice of department and their future plan.

Course description and aims

1) To know about research performed in School of Computing. 2) To collect information useful for choosing department to join from the second grade.

Keywords

School of Computing, cutting-edge research

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills

Class flow

To experience lectures and exercises on cutting-edge research performed in School of Computing in the omnibus style.

Course schedule/Objectives

Course schedule Objectives
Class 1 Research in Department of Mathematical and Computing Science Informed in class
Class 2 Research in Department of Mathematical and Computing Science Informed in class
Class 3 Research in Department of Mathematical and Computing Science Informed in class
Class 4 Research in Department of Computer Science Informed in class
Class 5 Research in Department of Computer Science Informed in class
Class 6 Research in Department of Computer Science Informed in class
Class 7 Research in Department of Computer Science Informed in class

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to course materials.

Textbook(s)

Not specified

Reference books, course materials, etc.

Informed in class

Evaluation methods and criteria

Based on reports

Related courses

  • ENT.B101(LAS.F101) : Frontiers of science and technology
  • XCO.A101 : Literacy of Computing
  • XCO.B101 : Foundations of Computing 1
  • XCO.B102 : Foundations of Computing 2
  • XCO.B103 : Foundations of Computing 3

Prerequisites

None