2024/25 Taught Postgraduate Module Catalogue

OCOM5101M Data Science

15 creditsClass Size: 100

Module manager: Dr Abdulrahman Altahhan
Email: a.altahhan@leeds.ac.uk

Taught: 1 May to 30 June, 1 Nov to 31 Dec View Timetable

Year running 2024/25

This module is not approved as an Elective

Module summary

The aim of the module is for students to understand methods of analysis that allow people to gain insights from complex data. The module covers the theoretical basis of a variety of approaches, placed into a practical context using different application domains.

Objectives

The aim of the module is for students to understand methods of analysis that allow people to gain insights from complex data. The module covers the theoretical basis of a variety of approaches, placed into a practical context using different application domains.

Learning outcomes
On completion of this module, students should be able to:

1. Understand the work of a data scientist
2. Understand how to acquire data and investigate the quality of data
3. Apply problem-solving skills to effectively analyse data and communicate findings for a given application scenario
4. Understanding of the statistical underpinnings of artificial intelligence and data science

Syllabus

Indicative content for this module includes:

- Core skills of a data scientist: problem-solving; statistics; business acumen; communication and business understanding
- Data science scope: A day in the life of, workflows, and DS boundaries
- Data understanding and visualisation, data acquisition, data preparation and data wrangling
- Classification, similarity and clustering
- Model-fitting and evaluation
- Anomaly detection
- Association Analysis
- Big data consideration tools and techniques
- Practical applications using case studies drawn from different application domains

Teaching methods

Delivery type	Number	Length hours	Student hours
On-line Learning	6	1.00	6.00
Group learning	6	2.00	12.00
Independent online learning hours			28.00
Private study hours			104.00
Total Contact hours			18.00
Total hours (100hr per 10 credits)			150.00

Private study

Private study will include directed reading and exercises and self-directed research in support of learning activities, as well as in preparation for assessments.

Independent online learning involves non-facilitated directed learning. Students will work through bespoke interactive learning resources and activities in the VLE.

Opportunities for Formative Feedback

Online learning materials will provide regular opportunity for students to check their understanding (for example through formative MCQs with automated feedback). Regular group activity embedded into learning will allow self and peer assessment providing opportunities for formative feedback from peers and tutors.

Students will complete a formative group assessment in the same format as the final individual summative assessment, providing an opportunity for formative feedback.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Assignment	Project Report	80.00
Assignment	Online Test	20.00
Total percentage (Assessment Coursework)		100.00

This module will be reassessed by a 100% individual assessment.

Reading list

The reading list is available from the Library website

Last updated: 24/05/2024 17:06:29

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