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Module FOUNDATIONS OF DATA SCIENCE 1

Module code: HM820DS
Credits: 5
Semester: 1
Department: HAMILTON INSTITUTE
International: No
Coordinator: Prof. Ken Duffy (HAMILTON INSTITUTE)
Overview Overview
 

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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