Taking computer science (data science) as an example, the curriculum is set to 1, which is the core and key course.

Foundation of artificial intelligence; Algorithm analysis; Database system.

Data Science Course Tutoring

2. Key elective courses

Three courses, at least one course in each group.

① 1 group (data system)

Online information integration; Information retrieval and network search engine; Interoperability of database system; Geospatial information management; High performance computing and simulation: the advanced subject of database system: the foundation of data management.

② The second group (data analysis)

Machine learning; Probabilistic reasoning; Advanced big data analysis; The foundation and application of data mining; Optimization theory and algorithm: numerical optimization; Optimization theory and calculation method; Apply matrix analysis.

③ Other elective courses

Any 500-level or 600-level courses of CSCI (including additional group elective courses or projects)

Directional research; Symposium on computer science research; Data visualization; Atlas of architectural knowledge; Numerical method; Numerical analysis and calculation; Numerical analysis; Application probability; Optimization theory and technology.