University of Edinburgh

In this course, students study key aspects of the wider context in which their practice as Informatics professionals will occur.  Students develop individual capabilities that complement the technical capacities developed elsewhere in Informatics programs.  These include communication, reflection, reasoning, and analysis skills that consider the broader ethical and social implications of their work. The course is structured around professional and ethical behavior, and the wider context in which technologies are developed and deployed. 

This course examines a wide range of Elizabethan and Jacobean tragic drama, including plays by Marlowe, Shakespeare, Carey, Middleton, and Webster. It explores a variety of tragic modes in the period - including revenge drama, "heroic" tragedy, closet theatre, tragi-comedy, and domestic tragedy as well as the range of theatrical contexts and staging practices that developed across the 16th and 17th century. The course considers how dramatists responded to these key concerns and it also examines different critical and conceptual understandings of tragedy.

This course introduces classic and state-of-the-art methodology in computer graphics. We will focus on methods and best practices in geometry and physical simulation, which are the basic building blocks for downstream applications such as animation, industrial design, game engineering, structural analysis, AR/VR, and medical imaging. Our curriculum will cover basic representations of shapes, geometric optimization, analysis, and principles of robust digital simulation of physical scenes. The techniques employed will involve classical numerical analysis up to deep geometric learning.

The course will include programming tasks to implement a few key algorithms in geometry processing, geometric learning, and physical simulation, to the extent that they can independently run and be analysed on modest open-source data.

This course (CGGS) and Computer Graphics: Rendering (CGR) are both courses that require no previous knowledge of computer graphics. These two courses may be taken independently or together. CGGS focusses on the representation, processing, and dynamics of 3D objects in the virtual world while CGR focusses on the rendering of virtual worlds as photo-realistic images.

The course covers many of the following topics: Random events, sigma-algebras, monotone classes. Measurable spaces, random variables - measurable functions. Measures, probability measures, signed measures. Borel sets in R^d, Lebesgue measure. Caratheodory extension theorem. Sequences of events and random variables, Borel-Cantelli lemma. Distributions of random variables. Independence of random variables. Integral of measurable functions - mathematical expectation,.
Moments of random variables, L_p spaces. Convergence concepts of measurable functions. Limit theorems for integrals. Weak and strong laws of large numbers. Completeness of L_p spaces. Conditional expectation and conditional distribution of random variables. Fubini's theorem.

A continuation of Japanese Language Pre-Intermediate. Teaching enables students to speak, read, and write Modern Japanese at a lower to mid-intermediate level of the language, equivalent to Japanese Language Proficiency Test level between N4 and N3, or Common European Framework of Reference for Languages level A2/B1.

Data science concerns the analysis of Big Data and is fast becoming an essential part of an economist's toolkit. Taking standard linear regression analysis as a starting point, this course introduces principles and methods from Machine Learning that enable economic analysis of Big Data. Machine Learning is focused on extracting information from complex data and automatically building good predictions. All analysis is conducted in R, an open-source statistical language for data analysis that is widely used in industry, government, and academia. Note: All students enrolled on this course are required to bring a laptop with them to tutorial sessions, in order to take part fully in teaching. If you do not own a laptop, the School encourages you to explore the University's laptop loan scheme.

The course is a communicative course and develops students' understanding and production of the language at CEFR level A1. It is composed of two classes per week, and students must attend both classes. The course introduces basic French grammar and develops students' reading, speaking, and writing skills. 

The course is divided into two parts: (1) International trade and (2) International macroeconomics. In the first part, the course introduces a number of models that help us understand the reasons why countries trade goods and services. Empirical evidence is provided to highlight the strengths and limitations of the introduced theories. In the second part, the course explores topics linked to the global macroeconomy. It presents a framework to analyze how the interdependence among countries shapes their economy-wide variables and draws links between theory and real world events. 

The course focuses on the most important 19th century Russian writers with the view to introduce students to their works and ideas. It examines the main socio-political and cultural trends in Russia and in Europe that influenced such writers as Pushkin, Gogol', Turgenev, Dostoevsky, and Tolstoy. This course is idea-led: it examines in depth several key themes clearly outlined at the beginning of the course. The list of main themes includes: the legacy of the Enlightenment and the representation of madness in Russian literature; the inter-relationship between the author and the government; the representation of St Petersburg in literature and the construction of Russian national identity; the criticism of Russian imperial policies; the emergence of nihilism and positivism in Russia; and the ongoing dialogue between Russia and the West. The course develops students' literary analytical skills, and enables them to gain deeper insights into the major themes explored by Russian most influential 19th-c. writers as well as into the techniques employed in their works.

The course covers key topics in personality science including (but not limited to) its overarching goals and mission within psychology, measurement, development, and prediction of real world outcomes. Topics include the scope of personality science; personality perception and assessment; the units and structure of personality; personality traits associations with life outcomes; age, gender, cultural and regional variation in personality; genetic and environmental influences on personality; main principles development; key personality theories, and personality as a unifying model for psychopathology.