Life science and computer science students will form small groups that solve practical problems in the field of computational life science.
Life science students learn computer literacy for group work with computer science students. Computer science students learn basic mathematics for modeling and simulation in Computational life science field.
Computational Life Science, Creative Collaborative Work
✔ Specialist skills | Intercultural skills | ✔ Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
In the first 8 classes, students are separated into life science students and computer science students, receiving instruction in separate classrooms. In each class the instructor lectures using original materials. In each class, through simple individual and group exercises, students' achievements are evaluated while also aiding their acquisition of knowledge. In the final 7 classes, students solve group problems in contest format in small groups of students with different majors.
Course schedule | Required learning | |
---|---|---|
Class 1 | Introduction: Students will have their knowledge checked with questionnaires, which will determine group organization. | mathematical basics, computer literacy, biological basics |
Class 2 | Bio-1 : networking and security CS-1 : overview of systems modeling with nonlinear differential equations | network security, linear differential equations |
Class 3 | Bio-2 : Programming in Python 1 CS-2 : Non-linear systems 1 | data types and operators, Laplace transfer, stability |
Class 4 | Bio-3 : Programming in Python 2 CS-3 : Non-linear systems 2 | control flow, state representation |
Class 5 | Bio-4 : Programming in Python 3 CS-4 : Non-linear systems 3 | commandline arguments, non-linear differential equations |
Class 6 | Bio-5 : Programming in Python 4 CS-4 : Non-linear systems 4 | class and objects, phase diagram |
Class 7 | Bio-6 : Programming in Python 5 CS-6 : Non-linear systems 5 | class definition, bifurcation |
Class 8 | Bio-7 : Presentation CS-7 : Topics | Python program, systems modeling |
Class 9 | Introduction to creative collaborative work | brain storming, KJ method |
Class 10 | group work 1 | group work |
Class 11 | group work 2 | group work |
Class 12 | group work 3 | group work |
Class 13 | group work 4 | group work |
Class 14 | group work 5 | group work |
Class 15 | competition | competition |
Unspecified.
For every class, instructors lecture independent topics with original handouts.
Every class also includes simple exercises by individual students or by groups. These exercises help understanding the principle and also become materials for final evaluation. Ranking in the final competition will be added.
Students must belong to the Education Academy of Computational Life Sciences Doctors Education Program (ACLS)
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