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Semester 2

Business Analytics and Information Systems (BUST08032)

Subject

Business Studies

College

CAHSS

Credits

20

Normal Year Taken

2

Delivery Session Year

2023/2024

Pre-requisites

Visiting students must have completed at least 1 introductory level Business Studies course at grade B or above for entry to this course. We will only consider University/College level courses.

Course Summary

This course demonstrates how information systems and decision support tools can be effectively integrated to analyse and solve business problems.

Course Description

This course discusses how business analytics and information system tools can be used in synergy to address a variety of business problems. As for the information system part, the emphasis is placed on 1. the illustration of how data can be modelled, stored and retrieved, 2. the application of data management tools to tackle business problems. The focus of business analytics is on: 1. the introduction of a range of prescriptive analytics tools which has been shown to aid decision-making in practice, 2. the utilisation of software with appropriate data to formulate and execute various models, 3. the explanation of the findings from modelling a managerial situation to the relevant stakeholders. Outline Content L 1. Data Management and Database Design L 2. Entity-relationship L 3. Structured Query Language L 4. Introduction to Linear Programming L 5. Sensitivity Analysis and Advanced Applications in Linear Programming L 6. Group Project Proposal Presentation L 7. Introduction to Decision Analysis L 8. Decision Analysis with Experiment L 9. Data Visualization L 10. Guest Speakers and revision Student Learning Experience The course is taught by means of lectures, computer labs, tutorials, and group activities. Lectures cover topics in information systems and data management, such as database design and SQL; as well as a number of business analytics techniques, such as linear programming, decision analysis and data visualisation. Computer labs let students acquire the skills that are necessary to apply these techniques in practice by using state of the art software packages. Tutorials provide an understanding of the theory underpinning the aforementioned techniques. Group activities are designed to let students experience challenges and opportunities that stem from the integration of decision support models and information systems.

Assessment Information

Written Exam 40%, Coursework 30%, Practical Exam 30%

view the timetable and further details for this course