AMS1301 - Foundations of Data Science

Year of Study:1
Credit Units: 3
Duration: 45hours
Module Description
This module is designed to provide students with the basic concepts and theories involved in statistical methods. Major topics include organisation and presentation of data in an informative way, some useful probability distributions used in statistical inference, estimation of parameters and hypothesis testing. Students are enabled to perform simple and sophisticated statistical analyses for samples by using calculators and tables with/without statistical packages. Applications of statistical methods to modern business environments are emphasised.
Learning Outcomes
Upon completion of this module, students should be able to:

  1. understand and apply the basic concepts and knowledge of descriptive statistics to the organisation and interpretation of data;

  2. apply basic probability distributions and the sampling distributions of statistics;

  3. understand and apply the basic ideas of estimation and hypothesis testing; and

  4. make use of solid statistical methods to solve practical problems with/without statistical packages.