Mathematical Concepts (G6088A)
Mathematical Concepts
Module G6088A
Module details for 2024/25.
15 credits
FHEQ Level 4
Module Outline
This is an introductory mathematics module providing the fundamental mathematical concepts and skills needed for computer science and data analytics. The module covers basic set theory, number systems, regular expressions, finite state automata, functions, basic calculus, basic linear algebra, proof by induction and an introduction to the concepts of probability theory and statistics.
Indicative Module Content Outline
• Number systems
• Geometry and the real number system
• Sets and logic
• Sequences, polynomials, and functions
• Limits and Calculus
• Probability and Statistics
• Vectors and Matrices
• Formal languages and automata
Core Texts:
David Makinson: Sets, Logic and Maths for Computing (Undergraduate Topics in Computer Science), Springer 2nd ed. (2012)
John A. Vince: Mathematics for Computer Graphics (Undergraduate Topics in Computer Science), Springer
S. Gill Williamson: Top-down calculus: A concise course, Computer Science Press.
John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman: Introduction to Automata Theory, Languages, and Computation, Addison-Wesley
Module learning outcomes
Demonstrate familiarity with common mathematical notations and show confidence in using them
Show knowledge of the concepts of sets, expressions, automata and functions and their effective use
Confidently operate with vectors and matrices and demonstrate knowledge of their underlying concepts
Obtain a working knowledge of the concept of probability and show the ability to calculate and interpret probabilities and statistical quantities
Type | Timing | Weighting |
---|---|---|
Coursework | 100.00% | |
Coursework components. Weighted as shown below. | ||
Computer Based Exam | T2 Week 11 (1 hour) | 40.00% |
Computer Based Exam | EASTER Week 1 (1 hour) | 50.00% |
Log | A2 Week 1 | 10.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
Term | Method | Duration | Week pattern |
---|---|---|---|
Spring Semester | Seminar | 2 hours | 00000000000 |
Spring Semester | Online Lecture | 2 hours | 10101010100 |
Spring Semester | Workshop | 3 hours | 01010101010 |
Spring Semester | Seminar | 1 hour | 00000000001 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
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