University College London

This course introduces students to the principles of health professions education and its application to practice. It guides students through learning about key theories in health professions education and they gain key skills needed to effectively teach in formal and informal environments. The course explores the use of feedback in teaching and learning and peer-assisted learning. It focuses on reviewing educational research and how this can inform clinical practice as well as explore the design and delivery of assessment. The course focuses on putting the knowledge and skills learned into practice through teaching peers, colleagues, patients, and future generations.

Students develop skills in data analysis, structuring decisions, building decision models, risk assessment, decision making under uncertainty, recognizing areas where business analysis can add value, selecting appropriate types of analyses and learn to apply them in a small scale, and quick-turnaround fashion. This is a practical course, which uses state-of-the-art decision support software to illustrate how to apply the methodologies introduced. Therefore, the course consists of a mixture of lectures and computer workshops. The software used in the lectures and workshops is Microsoft Excel, with add-ins @Risk for simulation, PrecisionTree for decision analysis, and Solver for optimization. 

This course is a challenging introductory course and is specifically for non-History of Art students. The specific content changes each year, but the course introduces students to various themes and issues in architectural practice and patronage from the medieval period to the present day, focusing on buildings and sites in London such as Westminster Abbey, St Paul's Cathedral, Chiswick House, the South Bank Centre, the Barbican, and Canary Wharf.

This course investigates central questions of recent ethical theory. Topics include the nature of the good, the badness of death, utilitarian accounts of right and wrong action, virtue (esp. justice and benevolence), equality, partiality and impartiality, responsibility and moral luck.

This course begins with exploring how digital technologies have proliferated every aspect of our daily lives, around work, travel, leisure, consumption, production, and reproduction, in ways that are simultaneously virtual and material. This focuses on how digital technologies, infrastructures, devices, logics, and methods are blurring the divides across analog and digital spaces. It then looks at how digital technologies can simultaneously break down and reinforce inequalities along class, race, gender, sexuality through new "digital divides." Finally, it examines the implications this has for producing new forms of digital citizenships and claims to social and spatial justice.

This course introduces students to a structured approach to the clinical assessment of a patient, and develops skills important to becoming a doctor, and other allied health professionals involved in patient care. It guides students through a methodical approach to history taking, examinations and choosing and interpreting common investigations, as well as developing leadership and problem-solving skills. The ethical and legal frameworks governing medical practice is explored and allows students to understand its importance in their daily work. The course also focuses on understanding the principles of professionalism, patient safety, and effective communication - applying this to patients, relatives, and colleagues. The course features interactive teaching, practical skills group problem-solving, and simulated role play sessions.

This course offers a comprehensive exploration into the field of Artificial Intelligence (AI), specifically designed for students with diverse backgrounds. Spanning a period of three weeks, participants are introduced to fundamental AI concepts and techniques, ranging from basic machine learning principles to advanced neural networks and ethical considerations. Through a mix of interactive lectures, hands-on coding exercises, and practical case studies, students not only acquire a theoretical understanding of AI but also develop practical skills in data pre-processing, model implementation, and ethical decision-making. The course serves as a platform for students to delve into AI's potential and ethical dimensions, cultivating insights into its applications across industries and nurturing a curiosity for further AI study.

This course offers students a grounding in the language of modern machine learning, with a focus on particular topics in linear algebra, differential calculus, probability, and statistics. Rather than focusing on theorems and their proofs, the course covers the key tools (and theorems) within the topic areas, and to illustrate these with exemplars drawn from machine learning. The course is delivered through a mixture of lectures and classes, and involves a mix of traditional lecture delivery, interactive notebooks, and problem sets.

This course examines the principal debates, features, and manifestations of Middle East politics in the 20th and 21st centuries. The course also contextualizes the Middle East as a region of the world that continually impacts on the wider international order. This course situates the Middle East, not as a single unitary manifestation of politics, but as a wider diverse and dynamic region. Political dimensions of the Middle East such as the legacy of colonialism, the democracy deficit, political economy, and contemporary conflict, as well as the role of civil society, feature as topics in the course.

The course explores how frameworks, theories, and models from a number of different areas, including cognitive neuropsychology and psycholinguistics, inform clinical assessment and remediation of aphasia. Findings from basic science, neurophysiology, imaging, and speech and language therapy are linked to increase our knowledge of the effects of the rehabilitative interventions at the level of the brain as well as their functional impact. Both emerging and established rehabilitative approaches are highlighted.