2022/23 Taught Postgraduate Module Catalogue
LUBS5309M Forecasting and Advanced Business Analytics
15 creditsClass Size: 200
Module manager: Panagiotis Stamolampros
Email: p.stamolampros@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2022/23
Pre-requisites
LUBS5308M | Business Analytics and Decision Science |
This module is not approved as an Elective
Objectives
This module aims to provide students with a thorough overall grasp of modern business analytic tools and their applications to business management.Learning outcomes
Upon completion of this module students will be able to:
- Explore and subsequently critically evaluate the role of data and data analysis in modern business management (with special emphasis on data mining and forecasting)
- Identify, explore and appraise the links between quantitative analysis and behavioural insights
Skills outcomes
Upon completion of this module students will be able to:
Transferable
- Apply accurately in different environments problem formulation and solving skills
Syllabus
Indicative Content
Predictive Analytics; Visual Analytics; Forecasting, Econometrics and Time Series; Model Management and Monitoring; Text Analytics; Analytics for Microsoft Office; Simulations; Advanced R programming; Survival Analysis.
Teaching methods
Delivery type | Number | Length hours | Student hours |
Lecture | 10 | 1.00 | 10.00 |
Seminar | 10 | 1.50 | 15.00 |
Private study hours | 125.00 | ||
Total Contact hours | 25.00 | ||
Total hours (100hr per 10 credits) | 150.00 |
Private study
This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.Opportunities for Formative Feedback
Via regular class or online exercises and feedback on performance both in class and through completion of examples.Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Assignment | 3,500 words | 100.00 |
Total percentage (Assessment Coursework) | 100.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
Exam type | Exam duration | % of formal assessment |
Standard exam (closed essays, MCQs etc) (S1) | 2 hr | 100.00 |
Total percentage (Assessment Exams) | 100.00 |
The resit for the module will be 100% by 2hr exam.
Reading list
The reading list is available from the Library websiteLast updated: 29/04/2022 15:28:10
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- Undergraduate module catalogue
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