Module overview
Linked modules
Pre-requisites: MANG1047 or MANG1019
Aims and Objectives
Learning Outcomes
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- apply predictive modelling concepts in real world situations;
- predict the future trends in data.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- apply a range of regression modelling and forecasting techniques using real world problems;
- use predictive analytic techniques to handle a variety of business problems;
- interpret results of different types of predictive models and explain the value of the results in different business contexts.
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- a range of statistical techniques for modelling and predicting future trends;
- criteria for choosing the appropriate predictive techniques for particular problems.
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- self-manage the development of learning and study skills;
- use your analytic skills in problem solving.
- plan and control effectively for successful completion of a personal workload;
Syllabus
Learning and Teaching
Teaching and learning methods
Type | Hours |
---|---|
Revision | 12 |
Completion of assessment task | 60 |
Tutorial | 20 |
Preparation for scheduled sessions | 12 |
Wider reading or practice | 30 |
Lecture | 16 |
Total study time | 150 |
Resources & Reading list
Textbooks
Hastie T., Tibshirani R. and Friedman J (2008). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in Statistics.
Kuhn M. and Johnson K (2018). Applied Predictive Modelling. Springer.
Urdan, T.C. (2010). Statistics in Plain English (3rd Edition). Taylor & Francis Group.
Albright S. and Winston W.L. (2017). Business Analytics: Data Analysis & Decision Making (6th Ed). Cengage.
Evans, J. R. (2013). Business Analytics. Methods, Models and Decisions. Pearson Education.
Assessment
Formative
This is how we’ll give you feedback as you are learning. It is not a formal test or exam.
Class participation
- Assessment Type: Formative
- Feedback: •Verbal formative feedback will be given by the lecturer/tutor throughout the module during lectorials and during one-to-one sessions during office hours. •Written feedback will also be provided by the lecturer/tutor through email communications. •Peer-to-peer feedback will also be key for developing and supporting learning objectives. •Students’ knowledge will be used formative tests.
- Final Assessment: No
- Group Work: No
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Assignment | 30% |
Examination | 70% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Examination | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Examination | 100% |
Repeat Information
Repeat type: Internal & External