2016 Advanced Topics in Artificial Intelligence B

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Academic unit or major
Graduate major in Artificial Intelligence
Instructor(s)
Undecided 
Course component(s)
Lecture     
Day/Period(Room No.)
Intensive ()  
Group
-
Course number
ART.T461
Credits
2
Academic year
2016
Offered quarter
3-4Q
Syllabus updated
2016/4/27
Lecture notes updated
-
Language used
Japanese
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Course description and aims

In this intensive course, advanced topics in wide range of informatics such as mathematical information sciences, intelligence sciences, life-sciences
and socio-economic sciences are introduced by visiting lecturers.
The aim of this cource is to broaden students' perspective by lectures of advanced topics by active scientists in the front line.

Student learning outcomes

Students can obtain knowledge about advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.

Keywords

mathematical information sciences, intelligence sciences, life sciences, socio-economic sciences

Competencies that will be developed

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

Class flow

Lectures give lectures about selected advanced topics.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences. Study of advanced topics
Class 2 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 3 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 4 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 5 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 6 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 7 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 8 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 9 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 10 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 11 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 12 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 13 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 14 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Class 15 Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.

Textbook(s)

None

Reference books, course materials, etc.

Specified by lecturers

Assessment criteria and methods

Will be based on exercise and report

Related courses

  • None

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

None

Other

None

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