|
This module aims to introduce theories on how affective factors influence interactions between humans and technology, on how affect sensing can inform our understanding of human affect, and on the design and implementation of effective human-machine interfaces. Outline Syllabus: Theoretical underpinnings of affective computing from an interdisciplinary perspective encompassing the affective, cognitive, social, media, and brain sciences. Affect recognition from facial expressions, body language, speech, physiology, contextual features, and multimodal combinations of these modalities. Applications of affective computing in human-robot interactions, unobtrusive deception detection and health monitoring. |
This course is to introduce students to the principles of modern energy storage and fuel cells and their applications, including grid-scale storage, vehicle propulsion and portable electronics. The module will provide students with a firm grounding in the thermodynamic principles of electrochemical, electrical and and mechnical energy conversion with a focus on fuel cells and energy storage methods, e.g., batteries, supercapacitors and pumped hydro.
By the end of the module the student should be able to:
Demonstrate a comprehensive knowledge the components of advanced battery and fuel cell systems, and autonomously apply the principles governing their operation to solve complex problems.
Independently perform systematic and detailed calculations to evaluate figures of merit, such as efficiency and power.
Show sound understanding of the components, operation, and limitations of advanced, state-of-the-art energy storage systems such as flow batteries, supercapacitors, and flywheels.
Evaluate the current, and hypothesize the future requirements of energy storage and fuel cell applications.
Evaluate specifications and demonstrate an autonomous ability to select and size appropriate energy storage technologies.
Demonstrate sound understanding of mechanical and thermal energy storage methods, and critique their effectiveness in various applications and illustrating technology limitations.
Critique the material requirements for current and future fuel cell and energy storage technologies, and show a sound understanding of the main degradation mechanisms.
Principal aims
This module aims to present the current (advanced) technologies and trends in development that will shape future electrical power systems. The students will gain a comprehensive knowledge and understanding of the construction, operation and control principles of power systems. They will learn advanced analytical skills for examining different modes of operation in complex systems. The content includes the following main elements: - Generation, Transmission and Distribution of Electrical Power - Balanced and Unbalanced 3-Phase Systems - Load Flow Analyses - Fault and Stability Analyses of Power Systems - Power System Protection Concepts and Techniques - Operational Security Control - Benefits and Limitations of Wide Area Measurement (WAM) - Effects and Management of Distributed Generation - Flexible AC Transmission Systems (FACTS) and High Voltage DC (HVDC) Transmission Technologies - Power Quality Monitoring and Management - Renewable Power Penetration and Grid Code Requirements - The Role of Energy Storage and the Development of Relevant Technologies - Smart Grids
Principal learning outcomes
By the end of the module the student should be able to: • Demonstrate a systematic knowledge of the complex operation and control of modern power systems, of the constitution of current and future generation power systems, of load flow, of stability and faults in current generation and of future power systems, including frequency and voltage control. • Demonstrate an advanced understanding of power quality monitoring and control • Evaluate the effectiveness of using wide area measurement systems • Critically assess the effects of future renewable penetration and distributed generation, and the ability to apply advanced control techniques .