Mathematics for Data Analysis (989G5)
Note to prospective students: this content is drawn from our database of current courses and modules. The detail does vary from year to year as our courses are constantly under review and continuously improving, but this information should give you a real flavour of what it is like to study at Sussex.
We’re currently reviewing teaching and assessment of our modules in light of the COVID-19 situation. We’ll publish the latest information as soon as possible.
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.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T2 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
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University 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 University 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 University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.