National University of Singapore

This course introduces the concepts, tools and techniques of bioinformatics to understand molecular evolution, individualized medicine, and data intensive biology. The course includes a conceptual framework for modern bioinformatics, an introduction to key bioinformatics topics such as databases and software, sequence analysis, pairwise alignment, multiple sequence alignment, sequence database searches, and profile-based methods, molecular phylogenetics, genomic analysis and personal genomics. Lectures include hands-on inquiry using bioinformatics tools in the practical sessions. The course requires students to take a prerequisite of General Biology. 

This course introduces the field of user experience (UX) design involving the study, planning, and design of the interaction between people (users) and computers, and the resulting user experience. The course covers the basics of relevant issues, theories, and insights about the human side, the technical side, and the interaction (interface) between the two, and the process involved in designing the user experience. The course includes both theoretical and practical work and requires students to take prerequisites

This course covers two branches of fundamental physics: mechanics and electricity & magnetism. Topics in mechanics include linear motion, circular motion, Newton’s laws of motion, work and energy, conservation of energy, linear momentum, and simple harmonic motion. Topics in electricity & magnetism include electric force, field & potential, current & resistance, DC circuits, electromagnetism and electromagnetic induction.

In this course, students engage with the major metaphysical systems of Western philosophy, examining how each coordinates subjective experience with objective reality. Philosophers include Plato, Kant, and Mill. The course requires students to take prerequisites.

This course provides an overview of traditional energy sources, electrical energy generation, transmission, distribution and utilization systems. It introduces the concepts of renewable energy sources, distributed renewable energy generation and smart-grid structure. The key issues of energy requirement in portable electronic computing system and wireless energy transfer are covered. The course requires students to take prerequisites.

This course focuses on the rise of dictators between 1915-1945: Mussolini, Franco, and Hitler and the demise of old liberal governments during the interwar period in Europe. Topics include historical analysis of these events and the rise of Bolshevism and of various Fascist regimes. 

The course examines the basic paradigms of modern financial investment theory, to provide a foundation for analyzing risks in financial markets and to study the pricing of financial securities. Topics include the pricing of forward and futures contracts, swaps, interest rate and currency derivatives, hedging of risk exposures using these instruments, option trading strategies and value-at-risk computation for core financial instruments. A programming project provides students with hands-on experience with real market instruments and data. This course is for students with an interest in quantitative finance. The course requires students to take prerequisites.

This course introduces various fundamental concepts in control system analysis and design. Topics include mathematical modeling of dynamical systems, time responses of first and second-order systems, steady-state error analysis, frequency response analysis of systems and design methodologies based on both time and frequency domains. The course requires students to take prerequisites.

This course covers the strategic aspects of facilities management: strategy formulation, planning, studying options, delivery and review. Emphasis is on the strategy and business of the organization and how this translates into the outcomes for the physical workplace. Topics include strategic facilities management framework; the need for coordination between workflow and space; facilities management system and tools; the procedures; automation; integrated FM systems; and strategic FM case studies.

This course introduces the fundamental concepts of problem solving by computing and programming using an imperative programming language. It is and introductory course to computing. Topics include computational thinking and computational problem solving, designing and specifying an algorithm, basic problem formulation and problem solving approaches, program development, coding, testing and debugging, fundamental programming constructs (variables, types, expressions, assignments, functions, control structures, etc.), fundamental data structures (arrays, strings, composite data types), basic sorting, and recursion.