Computer Science

COM3022 - Data Science Individual Project 1 (2019)

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MODULE TITLEData Science Individual Project 1 CREDIT VALUE30
MODULE CODECOM3022 MODULE CONVENERUnknown
DURATION: TERM 1 2 3
DURATION: WEEKS 11 11 1
Number of Students Taking Module (anticipated) 30
DESCRIPTION - summary of the module content

In this module, everything that you have learned in your studies about Computer Science comes together in a substantial individual project. The project is an opportunity to develop your own individual interests in data science and to tackle a substantial research or applied problem. It will involve research into existing techniques and methods for addressing your chosen area, followed by design and implementation of a solution. You will work under the supervision of an experienced academic, and often with a domain expert, who will be able provide guidance and advice.

Pre-requisite Module: COM2013 (Data Science Group Project 2)

AIMS - intentions of the module

This module aims to enable you to consolidate the knowledge, understanding, techniques and skills acquired over the previous two years. It aims to give you the opportunity to research an area of data science or to solve a particular applied problem; usually these will involve the development of a substantial piece of software and analysis. The module involves both initial research into the project area (including the writing of a literature review) and the production of software and analysis addressing the chosen problem.

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 Plan a substantial project taking account of foreseeable risks, ethical considerations, etc;

2 Follow a disciplined research and development method in tackling a research and development project;

3 Exercise skills in data science to produce effective software and analysis;

Discipline Specific Skills and Knowledge:

4 Master writing styles appropriate to both a theoretical discursive document and a technical report, including use of tables and figures and good referencing practice;

Personal and Key Transferable/ Employment Skills and Knowledge:

5 Undertake independent research in a chosen topic, summarise findings and provide critical analysis;

6 Impart the results of your work through oral presentation and practical demonstration;

7 Manage your work effectively, with appropriate time planning, attendance at meetings and timely submission of deliverables.

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

- Students are expected to have weekly meetings with their supervisor and maintain a project log-book which will be handed in along with the final report and assessed as part of the supervisor’s report; log-book entries should record the subjects discussed and actions agreed, and will be signed and dated by both student and supervisor;

- The first formative assessment will cover project scope, risk assessment, ethical considerations, literature review plan, time plan and a list of references;

- The literature review and specification may cover software as well as both printed literature and web sources, all of which must be referenced in a correct and consistent style; at least two pages at the end of the document should take the form of an informal specification of the project making reference to specific technologies or methods informed by the literature review;

- You will give a stand-up presentation to selected peers and staff on the work done so far and plans for future work;

- The final report will cover details of design, implementation, testing and evaluation;

- You will demonstrate the outputs of the project to the two markers and supervisor;

- 10% of the marks for the module will come from your supervisor’s report, which will take into account your progress throughout the year, including attendance at meetings and the oral presentation, submission of agreed deliverables including the log-book, demonstration of ambition and initiative.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 16.00 Guided Independent Study 284.00 Placement / Study Abroad 0.00
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled Learning and Teaching 4 Lectures, Practicals, Seminars
Guided Independent Study 12 Coursework
Guided Independent Study 284 Self-Study and Background Reading

 

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
Project Statement and Plan 4 hours 1 Oral commentary from supervisor and written feedback using customised marksheet
Oral Presentation 20 minutes 6 Oral feedback from supervisor and peers

 

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
Literature Review and Plan 20 8 pages 4, 5 Written using customised marksheet
Final Report 60 30 pages 3-5 Written using customised marksheet
Supervisor’s Report 10 N/A 1, 3, 7 Oral feedback from supervisor
Demonstration and Viva 10 25 minutes 6 Written using customised marksheet

 

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
CO-REQUISITE MODULES
NQF LEVEL (FHEQ) 6 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Friday 12 April 2019 LAST REVISION DATE Monday 19 August 2019
KEY WORDS SEARCH Project; Literature Review; Data Science; Machine Learning; Statistics; Data Governance; Data Visualisation; Data Exploration