Course Subjects / Skills

Digital transformation is an incredible opportunity for both individuals and for organisations because it's an opportunity to personalise, to customise, to serve customers in new ways, to help them to achieve new things that matter to the world in which we live. Whatever level you are in your organisation, [...]

While other programmes are organised around AI technologies, this programme is focused on creating value in your business. Throughout the two phases of this programme, you'll gain a solid understanding of the characteristics of the technology and then work to gain clarity regarding your business challenge and your data [...]

The key objective of this course is to reconceptualise critical global challenges as sustainable growth opportunities for your business and achieve positive environmental and social impact.

This third course in the product development specialization discusses the business side of product development. The course begins with an overview of marketing and pricing strategies, and how company’s price their products today.

This course will begin by discussing superconductivity - a central example of a macroscopic phenomenon. It will then proceed to discuss various modern topics in quantum condensed matter physics, including fractionalization, anyon statistics, topology, and non-equilibrium phases. The course aims to provide learners with an appreciation for some modern [...]

This course provides a first look at the R statistical environment. Beginning with step-by-step instructions on downloading and installing the software, learners will first practice navigating R and its companion, RStudio. Then, they will read data into the R environment and prepare it for summary and analysis. A wide [...]

This course introduces the notion of universality, whereby a large zoo of seemingly disparate systems can be described by the same theory. It introduces a powerful and widely applicable concept known as renormalization group which explains where this universality comes from. It introduces some paradigmatic frameworks underpinning condensed matter [...]

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal solutions to problems arising from domains such as resource allocation, scheduling, task assignment, and variants of the traveling salesperson problem. [...]

This introductory course offers a comprehensive exploration of Generative AI, including Transformers, ChatGPT for generating text, and Generative Adversarial Networks (GANs), the Diffusion Model for generating images. By the end of this course, you will gain a basic understanding of these Generative AI models, their underlying theories, and practical [...]

This course introduces learners to the analysis of binary/dichotomous outcomes. Learners will become familiar with fundamental tests for two-group comparisons and statistical inference plus prediction more broadly using logistic regression. They will understand the connection between prevalence, risk ratios, and odds ratios. By the end of this course, learners [...]