Mathematics for Data Analysis (989G5)
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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.
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