ES2C7: Engineering Mathematics and Data Analytics 22/23
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ES2C7 Resit - Laboratory Assessment (A07)
Data Analytics - Regression, Classification and Clustering
OBJECTIVES
The learning objectives for this assignment are:
• Apply data analytics techniques to datasets produced by engineering processes and systems.
• Solve complex engineering problems using MATLAB.
• Apply computer programming concepts and methods using MATLAB.
This assignment is worth 30% of the ES2C7 module.
BRIEF
Create a video that explains TWO of the three topics listed below:
1. What is a regression problem and how can MATLAB be used to solve it?
2. What is the k-nearest neighbours (KNN) algorithm and what kind of problems can it address?
3. How does the k-means clustering algorithm work?
Your video should last around 10 minutes. You should assume that the audience is a student who has
just completed the first year of their engineering degree at Warwick.
For each chosen topic, your video should:
1. Show that you understand the underlying principles.
2. Try to answer the chosen topics using at least one example.
3. Show how MATLAB can be used as a tool to solve the problem - you can use MATLAB apps
(e.g. classification learner app) and/or a coding approach.
SUBMISSION
You must submit this assignment using Tabula.
Please submit the following:
1. The video in one of the following formats:
• QuickTime Video (Mac)
• MP4 or AVI (Windows)
2. The MATLAB files (scripts and/or live scripts) containing your code
3. Any additional files required to run your code
You may need to compress all the above into a single file before submitting on Tabula.
ES2C7: Engineering Mathematics and Data Analytics 22/23
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GUIDANCE
• By using screen capture and recording your voice, you should be able to explain how to use
MATLAB using a live demo.
• PowerPoint slides may be useful for explaining any equations or diagrams. You can switch
between your MATLAB and PowerPoint applications during the video.
• You should not need to use any cameras during production of the video - unless you want to
include video of yourself presenting.
• Some methods of screen recording to film your video:
digitaltrends.com/computing/how-to-record-your-computer-screen/
• Video editing software can be used if required, there are free tools/apps available to perform
basic editing, e.g., iMovie (Mac) and Video Editor (Windows).
EXPECTED QUALITY
• This assignment is not testing your video production skills, it is testing the technical skills and
knowledge gained on ES2C7. However, creating a good quality video should not be too
difficult:
o Check that the audio is loud and clear enough
o Check that the visual quality is sufficient (e.g. any text can be easily read)
• The quality of the video should be sufficient that it could be loaded onto a Moodle webpage
for use by other students.
• Do not copy slides, pictures or diagrams from ES2C7 lecture material.
• Any material that you use that you have not created yourself (including diagrams/text/code)
should be referenced at the end of the video.
PLAGIARISM
• Do not copy code from other sources.
• Your video must only contain material that you have created yourself (including
diagrams/code/equations).
You may score zero if you copy code or material from other sources.
SUPPORT
If you have any questions or problems while completing this assignment, please contact James
Atkinson by email: James.A.Atkinson@warwick.ac.uk, or start a chat using Microsoft Teams.
ES2C7: Engineering Mathematics and Data Analytics 22/23
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USEFUL RESOURCES
• ES2C7 labs sheets on Moodle
https://moodle.warwick.ac.uk/course/view.php?id=50335
• You can download MATLAB with the university site licence to use on your personal machine:
warwick.ac.uk/services/its/servicessupport/software/list/matlab/accessmatlab
• Alternatively, you can access MATLAB online – a web-based version of MATLAB:
uk.mathworks.com/products/matlab-online.html