Imperial College London

This course introduces more advanced topics in calculus and ordinary differential equations. The course introduces students to multi-dimensional vector calculus and differential operators, and to the calculus of variations and the concept of variational problems. Differential equations play a key role in both pure and applied mathematics. The importance of these ideas is emphasized by the inclusion of a number of applications in physics, engineering, and biology. 

This course introduces principles of diffusional separation processes for simple gas-liquid and liquid systems. It includes qualitative and quantitative analysis of binary distillation, absorption and stripping of single solutes between immiscible gas and liquid phases, and liquid-liquid extraction between immiscible phases. Brief consideration is given to the economic viability of separation processes. 

In this course, students demonstrate independence and originality in order to plan and organize a large project over an extended period, and to put into practice prior engineering knowledge, skills, and research methods that they have learned throughout the course. Students demonstrate their ability to apply previously taught knowledge and skills to a substantial problem in computing; conduct an independent investigation and apply cutting-edge research, methods, and thinking appropriate to the problem; present complex technical material orally to a mixed audience; and exercise scientific writing skills by way of a substantial written report, summarizing their findings.

This course equips students with the background knowledge and understanding of concepts that link atomic and molecular physical chemistry to macroscopic behavior of gasses, liquids, and solids.

In this course, students advance their knowledge of data-structures and algorithms to data-processing algorithms and  applications. They acquire theoretical and practical knowledge of data processing systems design and implementation for correct results and (close-to) optimal performance. Students learn how Database Management Systems (DBMSs) optimize query performance, and understand Data Processing System tuning. Finally, students explore challenges and opportunities of cloud-native Data Processing Systems, as well as the research directions such as Big Data or data management on modern hardware.

This course introduces students to Matlab, and consists of a design project and a process engineering project. Students acquire knowledge of basic engineering concepts, computation, practical laboratory skills, and design. 

This course explores the basic equations that govern mass and momentum transfer of incompressible fluids as well as of important modes of heat transfer, for instance by phase-change (including boiling and condensation). By building on the fundamental aspects of the subject, problems are considered for a number of settings relevant to engineering applications.

This course examines network and web security broadly from the network to the application layer. The emphasis of the course is on the underlying principles and techniques, with examples of how they are applied in practice. Students study the themes and challenges of network and web security, and the current state of the art. They develop a critical approach to the analysis of network security and web application security, and learn to bring this approach to bear on future decisions regarding security.

This course explores the main algorithmic design paradigms and teaches students to apply algorithmic techniques to practical and unseen problems. Students quantitatively analyze the performance of algorithms. They also model the mathematical structure of computational tasks and apply the right algorithmic tools on them, and develop their algorithmic thinking and problem solving skills.

This course focuses on aspects of managing and leading organizations. Students learn how to influence and motivate others to get cooperation for their own goals. Topics include negotiation, leading and managing teams, motivation, and personality. The course also explores the organizational systems that coordinate individual work to meet business objectives and the impact of technology (e.g., artificial intelligence) and new business models (e.g., gig economy) on work.