National University of Singapore

This course focuses on key events that take place in different stages of vertebrate nervous system development including neural induction, neurogenesis, glial biology, neuronal growth and polarity, axonal guidance, synapse formation, and regeneration. Pathological states such as muscular dystrophy, spinal cord injury, Parkinson’s disease, and other neurodegenerative diseases are examined, both in terms of understanding the deficits as well as examining potential solutions to improve the outcomes of these neuronal diseases. Latest findings are discussed, allowing students to learn the current state of research in developmental neurobiology. The course requires students to take prerequisites.

This course examines economic miracles of Japan and Korea and their central business organizations, keiretsu and chaebols, that brought the success. It then analyzes how they responded to the challenges of the transition from catching‐up economies to mature economies, and how their business organizations functioned in the transition process. The course requires students to take prerequisites.

This course explores Buddhist philosophical issues and logic that were established during Mahayanic development. Topics include Mahayanic issues such as icchantika and the Mahayanic theory of knowledge. Under the latter, topics such as the concept of Buddha nature, reality, sources of knowledge, sensations, reflexes, conceptions, judgement, inferences, etc. are examined.

The objective of this course is to work on optimisation problems which can be formulated as linear and network optimisation problems. The course covers formulating linear programming (LP) problems and solving them by the simplex method (algorithm); looking at the geometrical aspect and developing the mathematical theory of the simplex method; studying problems which may be formulated using graphs and networks. These optimisation problems can be solved by using linear or integer programming approaches. However, due to its graphical structure, it is easier to handle these problems by using network algorithmic approaches. Applications of LP and network optimisation are demonstrated. Major topics: Introduction to LP: solving 2-variable LP via graphical methods. Geometry of LP: polyhedron, extreme points, existence of optimal solution at extreme point. Development of simplex method: basic solution, reduced costs and optimality condition, iterative steps in a simplex method, 2-phase method and Big-M method. Duality: dual LP, duality theory, dual simplex method. Sensitivity Analysis. Network optimisation problems: minimal spanning tree problems, shortest path problems, maximal flow problems, minimum cost flow problems, salesman problems and postman problems. The course requires students to take prerequisites.

This course introduces methods for creating systems that use data intelligently to improve themselves. This requires combining human intelligence (using methods like crowdsourcing, collaborative design) with artificial intelligence (discovering which technology designs help which people) through designing randomized A/B experiments that are collaborative, dynamic, and personalized. The course requires students to take prerequisites.

This course examines questions about the relationship between equality and justice, such as is it unjust for a society to be unequal? Unequal in what way? How do political systems reproduce relations of equality or inequality? Does society have a responsibility to compensate for some inequalities, and which ones? Readings include contributions from the contemporary debate on egalitarianism from John Rawls, Robert Nozick, Michael Walzer and others, as well as consider the application of theories of in/equality to current affairs in Singapore and elsewhere.

This course examines the military situation of Singapore and how it is governed by its place in the Malay world and its fluctuating strategic value to great powers. Students learn the 700‐year approach to the island’s military history and examine the relative impact of its distant and recent past on its present situation. 

This course covers the mathematical fundamentals of probability theory and complex variables which are necessary in the study of integrated circuits, communications, communication networks, control systems, signal processing, energy and new media. There is a strong emphasis on the application of these concepts to electrical and computer engineering problems, such as the Gaussian distribution in communications, random variable distributions for system reliability, complex random variables. This course requires students to take prerequisites.

This course introduces the fundamental concept of carriers, operating principles of PN diodes and MOSFETs. Topics include IV characteristics in different operating regions and their impact on the performance of logic gate, the foundational concepts of inverters and analyze their performance in terms of power and delay trade-off. The course introduces logic synthesis and the fundamental timing analysis of logic gates. Besides the static CMOS logic, students examine pass logics or transmission gates logics.

Arabic 2 is an integrated course that helps students gain higher basic proficiency in the four skills (listening, speaking, reading, and writing), grammar, vocabulary for personal interaction and communication in authentic situations. Themes covered are pertinent to everyday social settings/encounters, such as family, party, food, time and price, holiday and alike. Grammar rules and concepts cover topics such as present tense conjugation, imperative and imperative moods, singular, dual and plural, negation, nominal and verbal sentences, prepositions, etc. This course has a prerequisite of Arabic 1 or students must take a placement test to test into Arabic 2.