National University of Singapore

This course introduces issues and ‘social problems’ in Singapore society from a sociocultural and political-economic perspective. It examines social trends, problems, and phenomena from a critical and multidisciplinary standpoint to understand their explicit and underlying causes as well as impact on society. The course encompasses separate lectures covering topics such as social class, race, gender, and ageing in Singapore.

This course introduces game theory, a theory of interactive decision making. This course provides basic solution concepts for different types of non-cooperative games, including static and dynamic games with complete and incomplete information. The basic solution concepts covered are Nash equilibrium, subgame perfect equilibrium, Bayesian equilibrium, and perfect Bayesian equilibrium. This course emphasizes the applications of game theory to economics, such as oligopolies, bargaining, and auctions. 

This course provides an introduction to human structure and function, comprising gross anatomy integrated with microscopic anatomy. The course covers histological organization of the primary tissues including epithelial, connective, muscular, and nervous tissues. It also discusses clinical relevance of the anatomical structures. 

This course examines the roles of RNA, coding and in particular non-coding (ncRNA), in regulation of gene expression, host-pathogen interaction, and catalysis as well as their applications in research, diagnosis, and therapy of human diseases. The topics cover the 'RNA world hypothesis', the relation between structure and function of RNA, the mechanisms of regulation and dysregulation of gene expression by ncRNAs, selection and design of functional RNAs, features and usage of ncRNAs, the role of RNA in early stage pharmaceutical developments, and RNA-based drug development. 

This series of two courses covers many of the popular approaches for a variety of statistical problems. There is heavy emphasis on the implementation of these methods on real-world data sets in the popular statistical software package R. Part I gives a broad overview of the common problems as well as their most popular approaches. Topics include linear regression model and its extensions, classification methods, resampling methods, regularization and model selection, principal components and clustering methods.

This course introduces the design and implementation of fundamental data structures and algorithms. Topics include basic data structures (linked lists, stacks, queues, hash tables, binary heaps, trees, and graphs), searching and sorting algorithms, basic analysis of algorithms, and basic object-oriented programming concepts. The course requires students to take prerequisites.

This course introduces fundamental principles and techniques in combinatorics as well as the basics of graph theory, which have practical applications in such areas as computer science and operations research. The major topics from combinatorics are: Permutations and Combinations, Binomial and Multinomial Coefficients, Principle of Inclusion and Exclusion, Generating Functions, Recurrence Relations. The major topics from graph theory are: Basic Concepts and Results, Bipartite graphs and trees.