MA838-6-FY-CO:
Capstone Project: Data Science and Analytics
PLEASE NOTE: This module is inactive. Visit the Module Directory to view modules and variants offered during the current academic year.
2023/24
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Full Year
Undergraduate: Level 6
Inactive
Thursday 05 October 2023
Friday 28 June 2024
30
27 September 2022
Requisites for this module
(none)
(none)
(none)
(none)
(none)
A two term project where the student applies and develops data science and analytics skills.
The principal aim of the project is to enable a student to gain experience in data science and analytics, that the student would not meet in any lecture course. Subsidiary aims are that the student should gain experience of solo work involving research concerning some previously unknown topic, the production of a project document and final presentation (presentation and oral examination).
Upon completing a project students should:
1. Have a good idea of the basic methods for obtaining information on a topic, including the efficient use of the library or a corresponding information source.
2. Understand how to set about the preparation of a project document, including the correct methods for referencing source material.
3. Have experienced the difficulties of explaining the contents of a project document in final presentation (presentation and oral examination).
4. Apply data science methods to pre-process, to organise and to analyse data.
This project will comprise an investigation of a substantial topic related to data science and analytics. Individual projects may vary substantially.
This module consists of approximately 30 supervision hours, together with 360 hours of independent study. Please see the Project Handbook for more details on Capstone Projects.
The above list is indicative of the essential reading for the course.
The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students.
Further reading can be obtained from this module's
reading list.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
Dr Sema Gunturkun, email: s.gunturkun@essex.ac.uk.
Dr Peng Liu, email: peng.liu@essex.ac.uk.
Various
Dr Sema Gunturkun (s.gunturkun@essex.ac.uk), Dr Peng Liu (peng.liu@essex.ac.uk)
No
No
No
Dr Yinghui Wei
University of Plymouth
Available via Moodle
Of 127 hours, 0 (0%) hours available to students:
127 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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