National University of Singapore

This course develops the analytical tools to study short-run fluctuations in aggregate economic activities. It emphasizes the micro-foundations of macroeconomics and investigates the determinants of consumption, saving, investment, labor demand and labor supply. We derive the IS-LM and AD-AS frameworks and use these frameworks to understand why the economy goes through booms and busts. The course also discusses different theories of the business cycles, such as the Keynesian and the Real Business Cycle theories. In particular, it examines their assumptions and policy implications for macroeconomic stabilization.

This course focuses on the economic analysis of the structure and role of financial institutions and tools and conduct of monetary policy in the economy. Topics include the role of money, debt and equity; financial institutions and markets; regulation; financial crises; interest rates; commercial bank operations; the money supply process; theories of money demand; conduct of monetary policy and its role in different macroeconomic frameworks: international role of money; and monetary policy in Singapore. The course requires students to take prerequisites.

This interdisciplinary course covers ideas on how value is created by working collaboratively to capitalize on 21st century trends through disruptive and non-disruptive innovation. In addition to a substantive coverage of innovation frameworks and strategic planning tools, this course explores insights from organizational psychology and neuroscience that are useful for teams to improve cognitive diversity & creativity. Case examples include inspiring innovators and creative teams and industries such as technology, finance, entertainment and service sectors. 

This course offers an introduction to probability theory for students with knowledge of elementary calculus. The course covers not only the mathematics of probability theory but works through diverse examples to illustrate the wide scope of applicability of probability, such as in engineering and computing, social, and management sciences. Topics covered include counting methods, sample space and events, axioms of probability, conditional probability, independence, random variables, discrete and continuous distributions, joint and marginal distributions, conditional distribution, independence of random variables, expectation, conditional expectation, moment generating function, central limit theorem, and weak law of large numbers.

This course provides the central concepts of immunology and the foundation for understanding how immunity functions. The subjects of innate immunity and haematopoiesis introduce the origin and role of different cell types in immunity. The mechanics of how the body protects itself from disease are explored in relation to T and B cell biology, antibody-antigen interaction, major histocompatibility complex and antigen presentation. Other topics include hypersensitivity, immunodeficiencies, immune tolerance, autoimmunity, resistance and immunization to infectious diseases. The course requires students to take prerequisites.