2017 Topics 2 in Computational Life Sciences for Doctoral Students

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Academic unit or major
Education Academy of Computational Life Sciences
Instructor(s)
Konagaya Akihiko  Yamamura Masayuki 
Course component(s)
Lecture
Day/Period(Room No.)
Intensive ()  
Group
-
Course number
ACL.A632
Credits
1
Academic year
2017
Offered quarter
3-4Q
Syllabus updated
2017/3/22
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

The objective of this course is for doctoral students to further their expertise by gaining knowledge regarding cutting-edge research. Outstanding researchers from both inside and outside Japan and researchers playing prominent and active roles in industry and government will be invited to discuss the latest trends in technology in the field of computing and information science related to computational life sciences.
Reports will be used to evaluate whether the student has acquired understanding befitting a doctor regarding cutting-edge research of computational life sciences.

Student learning outcomes

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

Keywords

mathematical information sciences, intelligence sciences, life system sciences

Competencies that will be developed

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

Class flow

This is an intensive course in which the instructor lectures on a selected topic and students discuss it.

Course schedule/Required learning

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

Textbook(s)

none

Reference books, course materials, etc.

Not specified. For every class, teachers lecture on independent topics with original handouts based on exercise and report

Assessment criteria and methods

Will be evaluated based on reports after each lecture.

Related courses

  • ART.T453 : Workshop on Group Problem-Solving (ACLS)
  • ZBA.A402 : Creative Collaboration Works on Life Sciences(ACLS)

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

none

Other

none

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