Computer Science

COMM031 - Data Science MSci Group Project (2019)

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MODULE TITLEData Science MSci Group Project CREDIT VALUE30
MODULE CODECOMM031 MODULE CONVENERUnknown
DURATION: TERM 1 2 3
DURATION: WEEKS 12 12 1
Number of Students Taking Module (anticipated) 30
DESCRIPTION - summary of the module content

This module provides an opportunity for you to undertake a data science project for an external “customer.” Customers will be drawn from around the University and also from commercial organisations. Projects will be large enough that you will need to work in teams. The module will therefore give you experience in eliciting the nature of the customer’s problem, working in teams to develop and present solutions, and iterating on the process in response to customer feedback. It will often require consideration of the legal and ethical context.

Pre-requisites: COM2013 Data Science Group Project 2; COM3021 Data Science At Scale

AIMS - intentions of the module

This module aims to give you experience of working on a problem defined by an external customer with a particular business or research need, but with little expertise in data science. It also aims to give you extensive experience of working in a team in a professional way, applying the knowledge and skills developed in other modules together with the research necessary to tackle the customer’s problem. You will have to interpret and negotiate customer requirements, to produce creative and imaginative solutions that meet these requirements, and to listen to and act on customer criticisms of your solutions.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

On successful completion of this module, you should be able to:

Module Specific Skills and Knowledge:

1 Capture requirements from an external “customer”;

2 Negotiate and manage expectations with an external “customer” and with other team members;

3 Acquire knowledge of how data is collected, stored and processed in a “customer” domain;

4 Apply practical and analytical skills to a “customer” domain, developing new skills as necessary;

Discipline Specific Skills and Knowledge:

5 Choose and use an appropriate research and development process;

6 Make an evaluation of scientific risk;

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 Develop a systematic understanding and knowledge of a new domain;

10 Tackle a significant technical problem.

SYLLABUS PLAN - summary of the structure and academic content of the module

Student teams will have weekly meetings with their supervisor.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 25.00 Guided Independent Study 278.00 Placement / Study Abroad 0.00
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled Learning and Teaching Activities 2 Introduction to the challenge
Scheduled Learning and Teaching Activities 20 Weekly project review meetings
Scheduled Learning and Teaching Activities 3 Group project presentations
Guided Independent Study 278 Independent Study

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Not Applicable      

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 90 Written Exams 0 Practical Exams 10
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Coursework: Project plan, cost/benefit and data needs analyses 20 10 pages 1-3, 5,6,8 Written using customised marksheet
Coursework: Final Report 70 30 pages All Written using customised marksheet
Presentation and Demonstration 10 30 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.

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-assessment
All Above Coursework (100%) All Completed over summer with a deadline in August

 

RE-ASSESSMENT NOTES

Referred and deferred assessments will normally be by a single assignment together with a demonstration/viva.

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Basic Reading:

ELE: http://vle.exeter.ac.uk/

Reading list for this module:

There are currently no reading list entries found for this module.

CREDIT VALUE 30 ECTS VALUE 15
PRE-REQUISITE MODULES COM2013, COM3021
CO-REQUISITE MODULES
NQF LEVEL (FHEQ) 7 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Friday 12 April 2019 LAST REVISION DATE Monday 19 August 2019
KEY WORDS SEARCH Group Project; Data Science