2020 Fundamentals of System Science

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Academic unit or major
Undergraduate major in Systems and Control Engineering
Instructor(s)
Ishii Hideaki  Aonishi Toru  Ono Isao  Takayasu Misako  Takinoue Masahiro  Deguchi Hiroshi  Miyake Yoshihiro  Yamamura Masayuki 
Course component(s)
Lecture    (ZOOM)
Day/Period(Room No.)
Tue7-8(S621)  Fri7-8(S621)  
Group
-
Course number
SCE.S302
Credits
2
Academic year
2020
Offered quarter
3Q
Syllabus updated
2020/9/18
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

Specialist skills Intercultural skills Communication 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 Prof. H. Deguchi Homework specified by the instructor.
Class 11 Prof. Y. Miyake Homework specified by the instructor.
Class 12 Prof. Y. Miyake Homework specified by the instructor.
Class 13 Prof. M. Yamamura Homework specified by the instructor.
Class 14 Prof. M. Yamamura Homework specified by the instructor.

Out-of-Class Study Time (Preparation and Review)

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

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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