The University of Sheffield
Programme Regulations Finder

ACS341   Machine Learning   (10 credits)

 
Year Running: 2021/2022
Credit level: F6
Pre-requisites   ACS234  
Pre-requisites for   ACS61011   (when the module is running)

Description

Machine learning is a component of artificial intelligence that enables a computer to learn how to perform a task from data or simulations rather than being explicitly programmed for every possible scenario. Machine learning is currently being applied in a number of fields including finance, robotics and autonomous systems and bioinformatics and has experienced a huge growth in industry in recent years. This module introduces the key foundational elements of machine learning, including: regression, classification and reinforcement learning. The module is taught by a combination of lectures and labs, where there is an emphasis on practical implementation of different methods.

 

Reading List


Please click here for reading list.
 

Teaching Methods

Delivery Type Hours
Independent 70.0
Lab 20.0
Lecture 10.0
 

Methods of assessment

Assessment Type Duration % of formal assessment Semester
Course Work 0.0 35 % S2
Exam 1.5 50 % S2
Other 0.0 15 % S2
 

Teaching methods and assessment displayed on this page are indicative for 2021-22.