## MA102Half UnitMathematical Proof and Analysis

This information is for the 2022/23 session.

Teacher responsible

Prof Peter Allen

Availability

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.

Pre-requisites

Students should have taken, or be taking concurrently, the course Mathematical Methods (MA100), or the course Quantitative Methods (Mathematics) (MA107).

Course content

The course is an introduction to the use of formal definitions and proofs in mathematics, and to basic results of elementary logic, set theory and analysis. Specific topics covered are as follows: Logic, sets and functions, relations, real numbers, infimum and supremum, sequences, limits and continuity.

This course is intended as preparation for a student interested in the application of mathematical concepts and proof to subjects such as computer science (in particular the analysis of algorithms) and economics.

Teaching

This course is delivered through a combination of classes and lectures totalling a minimum of 40 hours across Michaelmas Term.

Formative coursework

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.

Assessment

Exam (90%, duration: 1 hour and 30 minutes) in the summer exam period.
Continuous assessment (10%) in the MT.

Key facts

Department: Mathematics

Total students 2021/22: 41

Average class size 2021/22: 9

Capped 2021/22: No

Lecture capture used 2021/22: Yes (MT)

Value: Half Unit

Guidelines for interpreting course guide information

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Personal development skills

• Self-management
• Team working
• Problem solving
• Application of information skills
• Communication
• Application of numeracy skills
• Specialist skills