English

This course introduces advanced mathematical knowledge used in quantitative finance, including differential equations, numerical partial differential equations, optimization and dynamic programming, advanced probability, and neural network. Motivating examples in finance will be given as well. The course requires students to take prerequisites.

This course is inquiry-based, interactive, and hands-on, focusing on how to design effective, human centered generative artificial intelligence (GenAI) applications in business contexts. It is suitable for undergraduate students with no technical background. The course builds AI literacy through simulation games developed by the instructor. The core of the course guides students through real-world applications of GenAI across text, code, image, audio, and video. Students gain practical experience using GenAI tools and applying them to solve business problems. The course includes critical discussions on the implications of GenAI, covering issues such as privacy, algorithmic bias, labor impact, job displacement, and ethical design. It helps students consider not only what GenAI can do, but what it should do. From a career perspective, the course equips students to act as effective consultants for AI applications, organizational change, leadership, digital transformation, and sustainability. 

The course is an introduction to image processing and computational vision: the theory, principles, techniques, algorithms, and applications. Image processing allows the analysis and enhancement of images/videos, while computer vision facilitates the understanding of the content of images/videos. Application areas are far-reaching and wide, from data compression to measuring the quality of performing actions by humans. The techniques in image processing and computer vision may be used in autonomous driving, medical imaging, CGI, remote sensing, pedestrian behavior analysis, facial recognition and regeneration, traffic analysis, biometrics, product quality assurance, and much more.

This course provides a basic but comprehensive introduction to some of the intellectual traditions within sociology with a focus on the origins of the discipline. The course provides the student with the necessary conceptual tools to understand the distinctive origin and nature of sociology as an academic discipline and as a wider cultural presence within modernity. In all cases emphasis is placed upon the specific historical context of particular writers and theories. The argument is that the emergence of sociology and the social sciences in general represents an intellectual response to the cultural and material problems of capitalist industrial societies in the 19th and early 20th centuries. The course equips students with the concepts and information necessary to grasp the main themes of the classical sociological tradition.

This course is an introduction to basic concepts in corporate finance and their applications to: (1) valuation of assets and cashflow discounting; (2) evaluation of investment proposals; (3) valuation of risky assets including stocks and bonds; and (4) corporate finance policy decisions including dividend and capital structure policy. Students are advised to take ECON2011 and 2021 before taking this course.

This course explores traditional psychological explanations of pro-social and anti-social behavior as well as more recent research findings in the field. Various psychological approaches to pro- and anti-social behavior are considered, including evolutionary and biological perspectives, learning and social-learning perspectives, cognitive-emotional perspectives, cultural and cross-cultural perspectives, and psychodynamic perspectives. Students learn about various theoretical explanations of pro-social and anti-social behavior, including catharsis, deindividuation, the development of empathy, personality factors, the influence of media and other environmental factors. Strategies to increase pro-social behavior and reduce and control anti-social behavior are evaluated. Students develop a more sophisticated understanding of the field of pro-social and anti-social behavior and critically evaluate variables influencing pro-social behavior and anti-social behavior.

This course furthers the fundamental mathematical knowledge and skills that are necessary in engineering. Topics include complex numbers, vectors, matrices, limits and continuity of functions, derivatives and integration and their applications, multivariable calculus, partial derivatives, ordinary differential equations, double integrals in polar coordinates, dot product, and cross product. The course requires students to take prerequisites.

This course offers an examination of the nature of work in capitalist societies. The first half of the course builds a picture of the development of contemporary, global capitalism. The course make sense of the nature of capitalism, and its periods of transformation, through looking at institutions, culture and periods of crisis. In the second half of the course, the course turns to an examination of work. Work is presented as a highly pervasive institution, structuring life experience within and beyond the workplace. Observing the nature of work over time also reveals transformations in the operation of power in the workplace, in the way work is organized, and in the cultural values typically attached to work. The course presents these changes, and explains them via the large-scale structural aspects of capitalism covered in the first half of the course. In this way, students can connect macro-level social theory with micro-level depictions of life experience, and thus see how capitalism matters for our everyday lives.

Students begin their practical element of their program with a wide range of skills and experience. This course gives all students a clear point of entry into practical skills in drama and theatre. It focuses on student’s skills in creating their own work with an emphasis on creating original pieces of performance through writing, devising, and physical theatre.    

Why do some countries grow rich while others remain poor? This course provides an introduction to theoretical and empirical research on economic growth and aggregate development. It introduces students to theoretical and empirical examination of income differences between countries and their growth processes. The first part of the course focuses on the impact of factor accumulation (physical capital, population growth, and human capital) on income and growth rates among countries. The second part of the course, demonstrates the importance of variation in productivity in explaining cross country differences in income and growth.