Course level

Postgraduate Coursework

Faculty

Business, Economics & Law

School

Economics School

Units

2

Duration

One Semester

Class contact

2 Lecture hours, 2 Tutorial hours

Incompatible

ECON2333

Prerequisite

ECON7300

Recommended prerequisite

Course coordinator

Dr M. Khaled

Current course offerings

Course offerings Location Mode Course Profile
Semester 2, 2019 St Lucia Internal Course Profile

Please Note: Course profiles marked as not available may still be in development.

Course description

As bigger datasets become available and more and more companies and institutions, require analysis of such a huge amount of information, the fields of Big Data and Machine Learning become more and more essential for economics and business students to learn about. This course builds on the basic knowledge built in elementary econometrics courses and strives to provide basic tools for analysing Big Data. The major topics discussed will be supervised learning (linear regression in high dimensions, classification by logistic regression and support vector machines, splines, nearest neighbours), unsupervised learning and Neural Networks. The course will be practical and will provide students with an R library of computer code to explore the topics in a practical fashion.

Archived offerings

Course offerings Location Mode Course Profile
Semester 2, 2020 St Lucia Internal Profile unavailable