2017 Topics 1 in Computational Life Sciences for Doctoral Students

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Academic unit or major
Education Academy of Computational Life Sciences
Instructor(s)
Tokunaga Makio 
Course component(s)
Lecture
Mode of instruction
 
Day/Period(Room No.)
Intensive ()  
Group
-
Course number
ACL.A631
Credits
1
Academic year
2017
Offered quarter
1-2Q
Syllabus updated
2017/3/17
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

This course for doctoral students is aimed at developing expertise by learning latest findings and frontier researches. Distinguished researchers in life sciences or outstandingly active researchers, Erika Sasaki (Central Institute for Experimental Animals (CIEA)), Hitoshi Takizawa (International Research Center for Medical Sciences, Kumamoto University) and Yasuhisa Matsui (Institute of Development, Aging and Cancer (IDAC), Tohoku University) in various fields such as development, differentiation and regeneration give introductory and detailed lectures of the latest research frontiers.
Students' qualifications will be assessed with the written report on the frontier research field from the viewpoint of the qualities for doctor.

Student learning outcomes

By the end of this course, students will 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, development, differentiation, regeneration

Competencies that will be developed

Specialist skills Intercultural skills Communication 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 lectures in succession are conducted by adjunct lectures, specialists in clinical medicine, physiology, genetics 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 Frontier research and topics on computational life sciences (1): Introductory and detailed lecture on genetically modified experimental animals as pre-clinical research models is given by the invited researcher. Understand the essential features and matters on frontier research or topics (1) in computational life sciences, genetically modified experimental animals as pre-clinical research models.
Class 2 Frontier research or topics on computational life sciences (2): Introductory and detailed lecture on hematopoietic stem cells responding to inflammatory stress is given by the invited researcher. Understand the essential features and matters on frontiers or topics (2) in computational life sciences, hematopoietic stem cells responding to inflammatory stress.
Class 3 Frontier research or topics on life sciences (3): Introductory and detailed lecture on germ cell differentiation is given by an invited researcher. Understand the essential features and matters on frontier research or topics (3) in computational life sciences, germ cell differentiation.

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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