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COMM418DA - Statistical Modelling (2023)
MODULE TITLE | Statistical Modelling | CREDIT VALUE | 15 |
---|---|---|---|
MODULE CODE | COMM418DA | MODULE CONVENER | Dr Tinkle Chugh (Coordinator) |
DURATION: TERM | 1 | 2 | 3 |
---|---|---|---|
DURATION: WEEKS | 11 |
Number of Students Taking Module (anticipated) | 90 |
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- Basics of Bayesian statistical modelling
- Generalised Linear Models
- Markov Chain Monte Carlo
- Generative and discriminative models
- Hierarchical statistical modelling
- Hidden Markov models
- Introduction to Gaussian Processes
Scheduled Learning & Teaching Activities | 40.00 | Guided Independent Study | 110.00 | Placement / Study Abroad | 0.00 |
---|
Category |
Hours of study time |
Description |
Scheduled learning and teaching activities |
40 |
Lectures/Workshop/Practical classes |
Guided independent study |
110 |
Coursework preparation, reading and self-study |
|
Form of Assessment |
Size of Assessment (e.g. duration/length) |
ILOs Assessed |
Feedback Method |
Exercise/Quiz |
1h x 4 |
All |
Written |
Coursework | 100 | Written Exams | 0 | Practical Exams | 0 |
---|
Form of Assessment |
% of Credit |
Size of Assessment (e.g. duration/length) |
ILOs Assessed |
Feedback Method |
Coursework |
60 |
(e.g.) 2000-3000 words |
All |
Written |
Coursework | 40 | (e.g.) Class test of 2 hours | All | Written/ELE |
Original Form of Assessment |
Form of Re-assessment |
ILOs Re-assessed |
Time Scale for Re-assessment |
Coursework report |
Coursework report |
All |
Within 8 weeks |
Deferral – if you miss an assessment for certificated reasons judged acceptable by the Mitigation Committee, you will normally be either deferred in the assessment or an extension may be granted. The mark given for a reassessment taken as a result of deferral will not be capped and will be treated as it would be if it were your first attempt at the assessment.
Referral – if you have failed the module overall (i.e. a final overall module mark of less than 50%) you will be required to re-take some or all parts of the assessment, as decided by the Module Convenor. The final mark given for a module where re-assessment was taken as a result of referral will be capped at 50%.
information that you are expected to consult. Further guidance will be provided by the Module Convener
Reading list for this module:
Type | Author | Title | Edition | Publisher | Year | ISBN | Search |
---|---|---|---|---|---|---|---|
Set | Gelman, A., Carlin, J., Stern, H., Dunson, D., Vehtari, A. and Rubin, D. | Bayesian data analysis | 3rd | CRC | 2008 | [Library] | |
Set | Gamerman, D. and Lopes H. F. | Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference | CRC Press | 2006 | [Library] | ||
Set | Banerjee, S., Bradley, P. Carlin, A.& Gelfand, E. | Hierarchical Modeling and Analysis for Spatial Data | CRC Press | 2014 | [Library] | ||
Set | Donovan, Therese and Mickey, Ruth M. | Bayesian Statistics for Beginners: a step-by-step approach | OUP Oxford | 2019 | 9780198841296 | [Library] | |
Set | Carl Edward Rasmussen, Christopher K. I. Williams | Gaussian Processes for Machine Learning | MIT Press | 2006 | 978-0262182539 | [Library] | |
Set | Murphy, K. | Machine Learning: A Probabilistic Perspective | 1st | MIT Press | 2012 | 978-0-262-018029 | [Library] |
CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
---|---|---|---|
PRE-REQUISITE MODULES | COMM415DA |
---|---|
CO-REQUISITE MODULES |
NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
---|---|---|---|
ORIGIN DATE | Monday 05 August 2019 | LAST REVISION DATE | Tuesday 24 January 2023 |
KEY WORDS SEARCH | Statistical Modelling |
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