2018 Fundamentals of System Science

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Academic unit or major
Undergraduate major in Systems and Control Engineering
Instructor(s)
Ishii Hideaki  Hasegawa Osamu  Aonishi Toru  Ono Isao  Takayasu Misako  Takinoue Masahiro  Deguchi Hiroshi  Miyake Yoshihiro  Yamamura Masayuki 
Course component(s)
Lecture
Day/Period(Room No.)
Tue7-8(S515)  Fri7-8(S515)  
Group
-
Course number
SCE.S302
Credits
2
Academic year
2018
Offered quarter
3Q
Syllabus updated
2018/10/2
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

This course provides students with a wide range of skills of basic mathematical science that is necessary to system design and control.

Student learning outcomes

At the end of this course, students will be able to understand the basics of various mechanisms behind systems,
And furthermore, lay the groundwork for the expertize acquisition.

Keywords

Machine Learning, Artificial Intelligence, Complex Systems, Intelligent Systems, Intelligent Robots

Competencies that will be developed

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

Class flow

Professors in the department who are conducting advanced research in the field of computational intelligence and systems science will give lectures about systems and mathematical science form diverse perspectives.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Prof. M. Takayasu Homework specified by the instructor.
Class 2 Prof. M. Takayasu Homework specified by the instructor.
Class 3 Assoc. Prof. T. Aonishi Homework specified by the instructor.
Class 4 Assoc. Prof. T. Aonishi Homework specified by the instructor.
Class 5 Assoc. Prof. I. Ono Homework specified by the instructor.
Class 6 Assoc. Prof. I. Ono Homework specified by the instructor.
Class 7 Assoc. Prof. H. Ishii Homework specified by the instructor.
Class 8 Assoc. Prof. H. Ishii Homework specified by the instructor.
Class 9 Prof. H. Deguchi Homework specified by the instructor.
Class 10 Discussion Homework specified by the instructor.
Class 11 Prof. H. Deguchi Homework specified by the instructor.
Class 12 Prof. Y. Miyake Homework specified by the instructor.
Class 13 Prof. Y. Miyake Homework specified by the instructor.
Class 14 Prof. M. Yamamura Homework specified by the instructor.
Class 15 Prof. M. Yamamura Homework specified by the instructor.

Textbook(s)

Text book specified by the instructor.

Reference books, course materials, etc.

All materials used in class can be found on OCW-i.

Assessment criteria and methods

Students' course scores are based on homework.

Related courses

  • ZUS.I301 : Introduction to Artificial Intelligence
  • ICT.H318 : Foundations of Artificial Intelligence (ICT)
  • CSC.T272 : Artificial Intelligence
  • ART.T548 : Advanced Artificial Intelligence

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

No prerequisites.

Other

Lectures are subject to changes.

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