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COM1012 - Data Science Group Project 1 (2023)
MODULE TITLE | Data Science Group Project 1 | CREDIT VALUE | 15 |
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MODULE CODE | COM1012 | MODULE CONVENER | Dr Massimo Stella (Coordinator) |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 0 | 11 | 0 |
Number of Students Taking Module (anticipated) | 30 |
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This module introduces you to the practicalities of a real data science project. In a team, you will help define and specify a data science problem, understand the client’s requirements and the available data sources. Your team, guided by a supervisor, will then use methods from other modules and new techniques to solve the problem and report your findings. An important part of the project will be aspects of “data wrangling” – understanding the data and getting it into a form suitable for machine learning algorithms.
This module aims to give you experience of working on a practical data science project in the round, understanding the problem, selecting data and methods to solve it, wrangling the data and reporting your results. It also aims to develop your soft skills in the areas of problem definition and presentation skills.
On successful completion of this module, you should be able to:
Module Specific Skills and Knowledge:
1 Capture requirements from an external “customer”;
2 Understand data, particularly text, representations and encodings;
3 "Wrangle” data into a form suitable for machine learning algorithms;
4 Select and apply suitable machine learning algorithms;
Discipline Specific Skills and Knowledge:
5 Choose and use an appropriate research and development process;
6 Read and understand new technical methods;
7 Work as a member of a research and development team, participating in self-evaluation and peer review;
Personal and Key Transferable / Employment Skills and Knowledge:
8 Understand and apply legal, social and ethical principles;
9 Present your work to specialist and non-specialist audiences;
10 Tackle a technical problem in a new area.
- Students will work in teams, meeting their supervisor weekly;
- The initial weeks will include lectures on the following topics, as appropriate:
• Introduction to the project;
• Data wrangling;
• Technical material related to the project;
• Presentation skills;
• Writing effective reports
Scheduled Learning & Teaching Activities | 23.00 | Guided Independent Study | 127.00 | Placement / Study Abroad | 0.00 |
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Category | Hours of study time | Description |
Scheduled Learning and Teaching Activities | 8 | Introductory Lectures |
Scheduled Learning and Teaching Activities | 12 | Weekly project review meetings |
Scheduled Learning and Teaching Activities | 3 | Project presentations |
Guided Independent Study | 127 | Independent study |
Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Not Applicable | |||
Coursework | 100 | Written Exams | 0 | Practical Exams | 0 |
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Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Presentation of project plan and preliminary data analysis | 40 | 5-minute pitch deck presentation | 1,2, 4-8 | Written using customised marksheet |
Coursework: Final report | 60 | 15-page group project + 3-page personal essays outlining individual work on data and evaluating project impact | All | Written using customised marksheet |
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
---|---|---|---|
Presentation of project plan |
Pre-recorded presentation of project plan |
1,2, 4-8 |
August ref/def period |
Final Report | Final Report | All |
August ref/def period |
Reassessment will be by coursework in the failed or deferred element only. For referred candidates, the module mark will be capped at 40%. For deferred candidates, the module mark will be uncapped.
information that you are expected to consult. Further guidance will be provided by the Module Convener
Basic Reading:
There is no standard reading list for this module.
Reading list for this module:
There are currently no reading list entries found for this module.
CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
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PRE-REQUISITE MODULES | COM1011 |
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CO-REQUISITE MODULES |
NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
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ORIGIN DATE | Friday 12 April 2019 | LAST REVISION DATE | Monday 23 January 2023 |
KEY WORDS SEARCH | Group Project; Data Science |
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