Computing for Data Analytics&Finance L7 (854G1)
Computing for Data Analytics and Finance (L7)
Module 854G1
Module details for 2023/24.
15 credits
FHEQ Level 7 (Masters)
Module Outline
From basic programming skills with applications in a suitable programming language such as MATLAB/Octave or Python.
While no previous programming experience is assumed we build up quite quickly to an operational level including (tax/loan/investment/portfolio) ledger book programming, graphing and charting financial data, stochastic simulations involving random number generators, importing/exporting to databases and websites, and more advanced topics in financial computing and financial data analysis.
Module learning outcomes
Systematic understanding of MATLAB
Understanding how to apply to finance problems
Understand how to plan files structure.
Able to treat external data files.
| Type | Timing | Weighting |
|---|---|---|
| Computer Based Exam | Semester 1 Assessment | 60.00% |
| Coursework | 30.00% | |
| Coursework components. Weighted as shown below. | ||
| Problem Set | T1 Week 4 | 25.00% |
| Problem Set | T1 Week 6 | 25.00% |
| Problem Set | T1 Week 9 | 25.00% |
| Problem Set | T1 Week 11 | 25.00% |
| Coursework | 10.00% | |
| Coursework components. Weighted as shown below. | ||
| Portfolio | T1 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.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Lecture | 1 hour | 11111111111 |
| Autumn Semester | Practical | 1 hour | 01111111111 |
| Autumn Semester | Workshop | 2 hours | 00111100111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Philip Herbert
Convenor, Assess convenor
/profiles/616541
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