Computational science curriculum

1 min read · February 5, 2024

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.

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