Data Science Group Project 1 - 2019 entry
MODULE TITLE | Data Science Group Project 1 | CREDIT VALUE | 15 |
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MODULE CODE | COM1012 | MODULE CONVENER | Unknown |
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 | Guided Independent Study | 127 | Placement / Study Abroad | 0 |
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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 | 85 | Written Exams | 0 | Practical Exams | 15 |
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Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Coursework: Project plan, cost/benefit and data needs analyses | 20 | 6 pages | 1,2, 4-6, 8 | Written using customised marksheet |
Coursework: Final report | 65 | 20 pages | All | Written using customised marksheet |
Presentation and demonstration | 15 | 20 minutes | All | Written using customised marksheet |
Assessment of the final report will include an element of peer assessment, negotiated at the start of the project.
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
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All above | Coursework (100%) | All | Completed over summer with a deadline in August |
Referred and deferred assessments will normally be by a single assignment together with a demonstration/viva.
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:
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 12th April 2019 | LAST REVISION DATE | Friday 9th August 2019 |
KEY WORDS SEARCH | Group Project; Data Science |
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Please note that all modules are subject to change, please get in touch if you have any questions about this module.