2016 Short-term Internship on Computational Life Sciences

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Academic unit or major
Graduate major in Life Science and Technology
Kajiwara Susumu 
Course component(s)
Day/Period(Room No.)
Internship ()  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
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Course description and aims

Students participate in practical trainings at companies for one week or longer to understand R&D and business development.

Student learning outcomes

By completing this course, students acquire the following abilities:
1) Ability to understand the study in the field of "Life Science and Technology" based on the research activities at the host agencies.
2) Balanced research skills to integrate the knowledge acquired at both students' laboratories and the host agencies.



Competencies that will be developed

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

Class flow

After discussions with ACLS advisors, students start their trainings at their host agencies. After completing their trainings, students submit activity reports.

Course schedule/Required learning

  Course schedule Required learning
Class 1 To be announced by each host. To be announced by each host.


Specified as necessary

Reference books, course materials, etc.

Specified as necessary

Assessment criteria and methods

Students are evaluated based on their activity at the host and their report.

Related courses

  • LST.C606 : International Internship on Computational Life Sciences

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

No prerequisites are necessary.

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