This course provides an introduction and analysis of the thought of the major philosophical figures in the Hellenistic period, including the Presocratics, Socrates, Plato, and Aristotle. It consists of two parts: lectures and readings. The lectures will introduce students to some of the central areas of philosophical enquiry in Western Philosophy. Reading works in natural philosophy, metaphysics, epistemology, ethics, psychology and political philosophy will be selected accordingly.

Presents the fundamental areas of anthropological analysis through a series of comparative cases that emphasize social and cultural relations in global contexts. Directs attention to the anthropological history of global empires and colonial states, their cultural exchanges, and contemporary studies of culture, society, and globalization. This course satisfies the General Education Criteria for: Cultural Studies - Non-West Social & Beh Sci - Soc Sci

This course will provide students with exposure to new Fintech services within a critical context and framework analyzing traditional money, banking and financial markets combined with interdisciplinary content from Computer Science and Entrepreneurship.

This course will provide students with exposure to new Fintech services within a critical context and framework analyzing traditional money, banking and financial markets combined with interdisciplinary content from Computer Science and Entrepreneurship.

The overarching aim of Applied Biomedical Sciences 2 (ABMS2) is to develop your understanding and skills as practicing biomedical scientists. It will consist of four streams of activity: data analysis; pharmacology; pathology; and practicals. Through practical classes you will learn about the theory and practice of techniques commonly used by biomedical scientists in both basic and applied biomedical science research. The practical classes will be designed to use and complement the content being contemporaneously delivered in other courses.

The overarching aim of Applied Biomedical Sciences 2 (ABMS2) is to develop your understanding and skills as practicing biomedical scientists. It will consist of four streams of activity: data analysis; pharmacology; pathology; and practicals. Through practical classes you will learn about the theory and practice of techniques commonly used by biomedical scientists in both basic and applied biomedical science research. The practical classes will be designed to use and complement the content being contemporaneously delivered in other courses.

This course provides an introduction to probability, statistics, and data analysis from a computer programmer’s point of view. You will make use of computer simulations to develop an intuitive understanding of statistical concepts, which you will then examine more rigorously. An emphasis is placed on building practical skills in regular computing practicals and formative exercises.

This course provides an introduction to probability, statistics, and data analysis from a computer programmer’s point of view. You will make use of computer simulations to develop an intuitive understanding of statistical concepts, which you will then examine more rigorously. An emphasis is placed on building practical skills in regular computing practicals and formative exercises.

Financial econometrics is the intersection of statistical techniques and finance. It provides a set of empirical tools to analyze historical financial data, model underlying economic mechanisms, and predict future price trends. This course covers both cross-sectional and time-series data. Multivariate regression analysis is developed to study the cross-sectional differences in stock returns of individual firms and associated portfolio models. Applications of these techniques to evaluate the performance of new trading strategies and hedge fund managers are also discussed.

Introductory course emphasizing techniques of linear algebra with applications to engineering; topics include matrix operations, determinants, linear equations, vector spaces, linear transformations, eigenvalues, and eigenvectors, inner products and norms, orthogonality, equilibrium, and linear dynamical systems.