2016 Topics 4 in Computational Life Sciences (ACLS)

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Academic unit or major
Life Science
Instructor(s)
Yamaguchi Yuki  Aizawa Yasunori  Tokunaga Makio  Harada Takashi  Sumikura Koichi 
Course component(s)
Lecture
Day/Period(Room No.)
Intensive ()  
Group
-
Course number
ZBA.A504
Credits
1
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

Distinguished researchers in computational life sciences or outstandingly active specialists beyond academia in various fields such as industry or government service give introductory lectures of the latest research frontiers or technology trends.

Student learning outcomes

By the end of this course, students will be able to:
1) Get a basic knowledge about frontiers or topics in computational life sciences or technology.
2) Acquire practical knowledge to help further research.
3) Enhance the qualifications and abilities of the Γ(gamma)-type specialist.

Keywords

computational life science, frontiers, topics

Competencies that will be developed

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

Class flow

This course is an intensive course, and three classes are given.
In each class, two 2 credit hours lectures in succession are conducted by adjunct lectures, followed by 1 credit hour discussion among students with the lecture on current topics and concrete problems.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Frontiers or topics on computational life sciences (1): Introduction of the field and topics is given by an invited researcher. Understand the basics and backgrounds on the frontiers or topics in computational life sciences.
Class 2 Frontiers or topics on computational life sciences (2): Detailed lecture is given to deepen understanding and expertness. Understand and explain the essential features and matters on the frontiers or topics in computational life sciences.
Class 3 Frontiers or topics on computational life sciences (3): Subjects to contribute to enhancement of the qualifications and abilities of the Γ(gamma)-type specialist are given, and discussions take place among students and the researcher. Enhance the qualifications and abilities of the Γ(gamma)-type specialist based on the frontiers or topics in computational life sciences.

Textbook(s)

There is no assigned textbook.

Reference books, course materials, etc.

In each class, the lecturer hands out materials.

Assessment criteria and methods

Reports in each class (100%).

Related courses

  • Nothing

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

There are no prerequisites for taking the course.

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