FOUNDATIONS OF DATA SCIENCE 1
- Module code: HM820DS
- Credits: 5
- Semester: 1
- Department: HAMILTON INSTITUTE
- International:
- Coordinator: Prof. Ken Duffy (HAMILTON INSTITUTE)
Overview | |
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The aim of this module is to introduce the range of applied mathematical and statistical techniques needed to understand data science algorithms, forming a foundation for PhD research on the development of new methods. Syllabus: 1. Mathematical foundations: multivariate calculus, linear algebra, probability theory, 2. Mathematical modelling: asymptotic analysis, uncertainty quantification, 3. Networks, 4. Optimisation, 5. Computational programming, 6. Statistical inference, 7. Statistical computing. |
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