Imperial College London

This course follows the process of locating, designing, constructing, and maintaining highways. It covers the highway planning process and the principles of route location and introduces the concepts of design speeds, operating speeds, and speed limits. Consideration is given to geometric link design and in particular vertical links and horizontal links. This is followed by pavement design, considering the design of both flexible and rigid pavements. The final part of the course considers alternative methods of surface drainage for highways, as well as the earthworks requirement for the construction of highways.

In his course, student learn about reinforcement learning through an integrated approach that traces core algorithmic concepts from their theoretical foundations to state-of-the-art implementations. It covers tabular and deep reinforcement learning topics and couples classical and modern approaches to provide students with a unified understanding of how RL algorithms have evolved and are applied today.

In this course, students study time and space complexity classes; identify the complexity classes associated with computational problems; prove that problems are complete for particular complexity classes; develop the ability to fit a particular problem into a class of related problems, and so to appreciate the efficiency attainable by algorithms to solve the particular problem; study circuit complexity and the class NC of parallelizable problems; study randomized computation and the associated complexity classes; and explore how the P=NP problem is related to cryptography.  

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.