CS5014 Machine Learning

Academic year

2024 to 2025 Semester 2

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

15

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 11

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Availability restrictions

There are 100 spaces available on this module. Priority will be given to students on MSc Artificial Intelligence programme when spaces are allocated. If necessary, a ballot will be held for other eligible students wishing to take the module.

Planned timetable

To be arranged.

This information is given as indicative. Timetable may change at short notice depending on room availability.

Module Staff

TBC Module coordinator(s): Director of Postgraduate Teaching - Computer Science (dopgt-cs@st-andrews.ac.uk)

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

Machine Learning enables computers to improve automatically with experience. A growing number of algorithms are being used to predict outcomes using patterns in collected data. This module covers the essential theory and algorithms, including mathematical foundations, and methodological approaches. It covers a variety of regression, classification and unsupervised approaches. It consists of lectures, and practical components with unassessed exercises and assessed practical coursework assignments with a final exam.

Relationship to other modules

Pre-requisites

PGT: BEFORE TAKING THIS MODULE YOU MUST HAVE ACHIEVED A GRADE OF B OR HIGHER IN HIGHER OR A-LEVEL MATHS

Anti-requisites

YOU CANNOT TAKE THIS MODULE IF YOU TAKE ID5059

Assessment pattern

3-hour Examination = 60%, Existing Coursework = 40%

Re-assessment

3-hour Examination = 60%, Existing Coursework = 40%

Learning and teaching methods and delivery

Weekly contact

2 hr x 11 weeks lectures, 1 hr x 6 weeks tutorial/practical class.

Scheduled learning hours

28

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

122

The number of hours that students are expected to invest in independent study over the period of the module.