CSMAI19-Artificial Intelligence

Module Provider: Computer Science
Number of credits: 10 [5 ECTS credits]
Level:7
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded: CS3AI18 Artificial Intelligence
Current from: 2022/3

Module Convenor: Dr Yevgeniya Kovalchuk
Email: y.kovalchuk@reading.ac.uk

Type of module:

Summary module description:

The main goal of this module is to familiarise students with fundamental methods in Artificial Intelligence such as supervised, unsupervised, reinforcement and deep learning. The students will learn how to apply these methods to real-life problems.

Aims:

The main goal of the module is to equip students with the knowledge of Artificial Intelligence algorithms and techniques to tackle real-world problems (Artificial Intelligence applications) such as predictive modeling, image and speech processing, web search, autonomous systems, games and robotics. Moreover, the module will provide an opportunity for students to develop their Python skills and apply that to Artificial Intelligence through practical assignments.

Assessable learning outcomes:

By the end of the module, students should be able to:

• understand the basic algorithms and techniques of artificial intelligence;


• apply state-of-the-art artificial intelligence algorithms and methods to real-world problems to create a small-scale AI project.

This module will be assessed to a greater depth than the excluded module CS3AI18.

Additional outcomes:

The students will become familiar with the potential applications of data artificial intelligence techniques in different domains. They will also learn how to carry out experimental tests for algorithm performance evaluations.

Outline content:

• Nature and goals of artificial intelligence, its application areas


• Training machine learning models


• Natural language processing


• Image processing


• Deep learning


• Reinforcement learning

Brief description of teaching and learning methods:

The module consists of lectures and tutorials.Ìý

Contact hours:

Ìý	Autumn	Spring	Summer
Lectures		10
Seminars		10
Guided independent study:		80
Ìý	Ìý	Ìý	Ìý
Total hours by term	0	100	0
Ìý	Ìý	Ìý	Ìý
Total hours for module	100

Summative Assessment Methods:

Method	Percentage
Set exercise	100

Summative assessment- Examinations:

None

Summative assessment- Coursework and in-class tests:

One piece of coursework.

Formative assessment methods:

Penalties for late submission:

The below information applies to students on taught programmes except those on Postgraduate Flexible programmes. Penalties for late submission, and the associated procedures, which apply to Postgraduate Flexible programmes are specified in the policy £Penalties for late submission for Postgraduate Flexible programmes£, which can be found here: /cqsd/-/media/project/functions/cqsd/documents/cqsd-old-site-documents/penaltiesforlatesubmissionpgflexible.pdf
The Support Centres will apply the following penalties for work submitted late:

• where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of five working days;
• where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/cqsd-old-site-documents/penaltiesforlatesubmission.pdf
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Assessment requirements for a pass:

A mark of 50% overall.

Reassessment arrangements:

One 2-hour examination paper in August/September.

Additional Costs (specified where applicable):

1) Required text books:Ìý None

2) Specialist equipment or materials:Ìý None

3) Specialist clothing, footwear or headgear:Ìý None

4) Printing and binding:Ìý None

5) Computers and devices with a particular specification:Ìý None

6) Travel, accommodation and subsistence:Ìý None

Last updated: 22 September 2022