Introduction to Data Science module (AC52049)

About the Module

This module introduces the principals of data science.

You’ll be able to describe the problems of data modelling, explain the importance of analytics, implement data analysis and Monte Carlo Simulations, and design R programs for statistical analysis.

You’ll evaluate the appropriate usage of different data models, judge appropriate algorithms for data analysis in given scenarios, and distinguish best practice for personal privacy in data science analytical systems.

You will learn about:

• Introduction to Data Science
• Different models of data, Tabular, Relational and Big Data
• Introduction to a Statistical programming language (R)
• Monte Carlo simulations

There are 20 SCQF points available on this module.

Assessment and Coursework

Coursework counts for 40% of the final module mark.

The final degree exam counts for 60% of the final module mark.

Assignments

All learning materials, including slides, videos and assignment details will be made available to students via myDundee. All assignments will be submitted via myDundee, and feedback will be provided on myDundee where appropriate.

Resource List

A reading list will be created, and made available to students in accordance with the university policy on reading lists. This will outline any relevant material that is available in the Library and Learning Centre. Any students requiring further support for academic skills or digital literacy will be encouraged to attend appropriate sessions run by the Academic Skills Centre.