5XÉçÇøÊÓƵ

School of Engineering and Informatics (for staff and students)

Mathematics for Data Analysis (989G5)

Mathematics for Data Analysis

Module 989G5

Module details for 2024/25.

15 credits

FHEQ Level 7 (Masters)

Module Outline

You will develop your mathematical skills that will be later applied to many areas of data science and artificial intelligence, specifically for topics such as machine learning.

Indicative Content
• Linear algebra.
• Vectors and matrices.
• Differential calculus.
• Regression and correlation.

Module learning outcomes

Systematically understand using vectors and matrices to simplify mathematical operations using Python.

Demonstrate gradient descent for function optimisation using Python.

Systematically construct and integrate simple mathematical systems and analyse their stability using dynamical systems theory.

Critique a scientific topic mathematically.

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
ReportT2 Week 11 100.00%
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.

Dr Dhruva Raman

Assess convenor
/profiles/580142

Dr Peter Wijeratne

Assess convenor
/profiles/596509

Please note that the 5XÉçÇøÊÓƵ will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the 5XÉçÇøÊÓƵ keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The 5XÉçÇøÊÓƵ reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the 5XÉçÇøÊÓƵ. If there are not sufficient student numbers to make a module viable, the 5XÉçÇøÊÓƵ reserves the right to cancel such a module. If the 5XÉçÇøÊÓƵ withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, 5XÉçÇøÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
School Office location [PDF 1.74MB]