Singapore

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.

This course focuses on data analysis using multiple regression models. Topics include simple linear regression, multiple regression, model building and regression diagnostics, one and two factor analysis of variance, analysis of covariance, and linear model as special case of generalized linear model. This course has prerequisites.

This course explores Singapore’s appearance as a trading port in the 14th century, the reasons for its growth over 700 years, and the sea’s influence on Singaporean society and economy. It includes topics from archaeology, history, economics, engineering, and ecology.