University of London International Programmes - International Foundation Programme for Computer Science 

offered by Coursera

First module: Academic Skills for Computer Science

Qualitative reasoning skills: Exploring computer ethics, you’ll learn to think critically and communicate effectively about legal, moral and ethical issues related to your field of study.

Quantitative reasoning skills: You’ll use data analysis and produce engaging dashboards, apply common descriptive statistics to summarise datasets, and use data visualisation approaches to demonstrate patterns

Second module: Introduction to Computer Science and Programming

This module will provide practical experience in applying theoretical programming concepts in creative ways to solve real-world problems

Using Python, one of the most popular and versatile programming languages, you’ll build essential skills in this vital discipline

Third Module: Mathematics for Computer Science

This module provides a comprehensive knowledge base in the mathematics that underpin computer science

Topics covered include quadratic equations and parabolae, number bases and modular arithmetic, sequences and series, and vectors and geometry

Fourth Module: Statistics for Computer Science

You’ll build a strong foundation of statistical knowledge on this module

You’ll grasp the fundamental principles of probability theory, allowing you to understand and apply standard statistical operators and recall essential probability distributions

You’ll perform statistical inference in order to make informed decisions based on data analysis, and construct causal models to meet the requirements of different statistical analysis contexts

Topics covered include discrete and continuous probability distributions, interval estimation, hypothesis testing principles, contingency tables and the chi-squared test, and simple linear regression