Aims/Description: Probability theory is branch of mathematics concerned with the study of chance phenomena. Data science involves the handling and analysis of data using a variety of tools: statistical inference, machine learning, and graphical methods. The first part of the module introduces probability theory, providing a foundation for further probability and statistics modules, and for the statistical inference methods taught here. Examples are presented from diverse areas, and case studies involving a variety of real data sets are discussed. Data science tools are implemented using the statistical computing language R.

Staff Contact: JARVIS ASHLEY F
Teaching Methods: Lectures, Tutorials, Problem solving, Laboratory work, Independent Study
Assessment: Formal Exam, Classroom testing

Information on the department responsible for this unit (Mathematics and Statistics):

Departmental Home Page
Teaching timetable


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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK