Computational science curriculum
1 min read ·
Advancement process of computational science curriculum.
05-feb-2024
- url https://osf.io/tj23h
- Notetaker: MA-RS; id2en: FI-SV.
- Review and restudy the goal of master program in computational science or CS.
- Simplify the program learning outcome or PLO.
- Keywords: computational thinking, algorithm and coding, modeling and simulation, visualization, artificial intelligence and big data, communication and team work.
- Sub-program: Reguler with research publication, MBR with research thesis, company employee with case study report, and there is also with research project.
- Core courses (obligatory for some new students with certain criteria) to give equal basic knowledge for the program, e.g. Programming in Science.
- Courses for Education 4.0 Program: Artificial Intelligence, visualization in Sains Eduction, Data Analysis and Visualization (for learning outcome analysis), Computational Thinking.
- Core courses: Advanced Numerical Analysis (elective core?), (Basic) of Artificial intelligence.
- Adjustment of credit hour according to new policy.
24-jan-2024
- url https://osf.io/8ke5d
- MoM: N/A, meeting is canceled.