This course is compulsory on the BSc in Data Science. This course is available on the BSc in Actuarial Science and BSc in Mathematics, Statistics and Business. This course is available as an outside option to students on other programmes where regulations permit. This course is available with permission to General Course students.
This course is compulsory on the BSc in Data Science. This course is available on the BSc in Actuarial Science and BSc in Mathematics, Statistics and Business. This course is available as an outside option to students on other programmes where regulations permit. This course is available with permission to General Course students.
This course is delivered through a combination of classes and lectures totalling a minimum of 40 hours across Michaelmas Term. This year, some or all of this teaching will be delivered through a combination of virtual classes and lectures delivered as online videos.
Students will be expected to produce 10 problem sets in the MT. Written answers to set problems will be expected on a weekly basis.
Students may wish to have one of the recommended textbooks: N L Biggs, Discrete Mathematics (2nd edn) or P J Eccles, An Introduction to Mathematical Reasoning, but these are not required. Further background reading can be found in: R Allenby, Numbers and Proofs; M Liebeck, A Concise Introduction to Pure Mathematics; V Bryant, Yet Another Introduction to Analysis, and; R Bartle & D Sherbert, Introduction to Real Analysis.
Exam (90%, duration: 1 hour and 30 minutes) in the summer exam period. Continuous assessment (10%) in the MT.