Imperial College London

This course introduces students to the fundamentals of deep learning and illustrates how it is contributing to the practical design of intelligent machines. Deep learning is currently the most active area of research and development and in high demand for experts by hi-tech start-ups, large companies as well as academia. It is the preferred approach for modern AI and machine learning in any domain. This course demonstrates how deep learning techniques enable us to automatically extract features from data so as to solve predictive tasks, such as speech recognition, object recognition, machine translation, question-answering, anomaly detection, medical diagnosis and prognosis, automatic algorithm configuration, personalization, robot control, time series forecasting, and much more.

Economics provides us with a useful set of tools for analyzing the world and aiding decision-making by businesses and governments. This course gives students an overview of many of these tools and of the insights that can be obtained with them, concentrating on those most relevant to businesses. This means that most of the lectures are on microeconomic topics, looking at the actions of firms and of individuals, but the course concludes with some coverage of macroeconomic problems and policies, looking at the economy as a whole. Upon completion of this course, students can intelligently discuss and analyze current events in business and economics. 

This course teaches students to use finite element programs in a practical way to solve problems in linear elastic stress analysis. Upon completion of the course, students are able, in a later industrial setting, to undertake the analysis of real problems with a fair understanding of sensible modelling procedures. In support of this, the course is split into two stages: the theoretical study of the finite element method, with emphasis on understanding what goes on inside a typical, modern, commercial program; and practical experience in analysis using an industry-standard, interactive, finite element program. 

This course examines the knowledge, skills, and experience in starting up an innovative business, in looking for critical funding and in structuring a deal to make a business viable. The course is geared towards students who want to develop an entrepreneurial mindset, want to undertake innovative business cases, or have a general interest in start-ups.

This course teaches students the physics of heat transfer. Topics include steady conduction, transient conduction, convection, radiation, and heat exchangers. For all of these topics, practical implementation through solving small design-like problem is studied.