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Unit information: Programming in Business Analytics in 2023/24

Unit name Programming in Business Analytics
Unit code MGRCM0019
Credit points 10
Level of study M/7
Teaching block(s) Teaching Block 1A (weeks 1 - 6)
Unit director Dr. Zhang
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

None

Units you must take alongside this one (co-requisite units)

None

Units you may not take alongside this one

None

School/department School of Management - Business School
Faculty Faculty of Social Sciences and Law

Unit Information

Why is this unit important?
In traditional business analytics, Excel and other software are certainly convenient and often efficient for data analysis and visualisation. However, numerous limitations have been becoming more and more clear in recent years. Data volume and complexity grow exponentially, which calls for more sophisticated data processing tools such as programming languages.

How does this unit fit into your programme of study?
This unit will introduce students to fundamental programming principles and concepts for business analytics. Students will use and combine them with the business knowledge from other units to support them solving a business problem more efficiently.

Your learning on this unit

An overview of content
Python will be introduced as the programming language. Students will learn how to develop and run programmes in Jupyter Notebooks, including data preparation and simple examples of machine learning algorithms. Cutting-edge Python packages will be covered in this unit.

How will students, personally, be different as a result of the unit
On completion of this unit, students will have knowledge of fundamental programming principles and concepts within the context of creating solutions for business analytics. They will be equipped with a working knowledge of business analytics tools to support descriptive analytics, predictive analytics and prescriptive analytics.

Learning Outcomes
ILO 1 – Understand the role of programming in Business Analytics
ILO 2 – Process data by using Jupyter Notebooks
ILO 3 – Write, test and debug procedural and functional programmes in Python.
ILO 4 – Apply programming skills to solve real business problems.

How you will learn

The unit will be delivered through a mixture of lectures followed by exercises with computers (3 hours*5 weeks). Blackboard will be used to engage students with the unit content.

How you will be assessed

Tasks which help you learn and prepare you for summative tasks (formative):
During lab sessions, small quizzes and formative assessment activities which assess all ILOs (ILOs 1-4) will be arranged. Formative feedback will be given in class.

Tasks which count towards your unit mark (summative):
Coursework (100%)
A summative computer assessment will consist of a final computer task to solve a business problem integrating all the learning objectives (ILOs 1-4). The task will be released in the first teaching week of this unit.

When assessment does not go to plan
If the assessment does not go to plan, then the resit will consist of a particular case study integrating all the learning objectives (ILOs 1-4) (100%)

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. MGRCM0019).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the University Workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

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