Nanyang Technological University

This course provides non-business and non-accounting students with an overview of the basic theories and practice of Business Finance/Financial Management. Whatever the size of the company and its industry, or the role of the job, understanding of corporate finance is crucial to the success of the individual and the financial viability of the corporation. This is a basic course in finance with emphasis on the major financial decisions made by companies and the valuation of investments made by them. Topics include fundamental concepts of risk and return, time value of money, interest rates, bond and stock valuation, corporate financing choices including techniques for investment analysis (capital budgeting), financing policy (capital structure), and dividend policy.

This course introduces the fundamental theory and concepts of computational intelligence methods, in particular neural networks, fuzzy systems, genetic algorithms and their applications in the area of machine intelligence. Topics include: (1) Understand the concepts of fuzzy sets, knowledge representation using fuzzy rules, approximate reasoning, fuzzy inference systems, and fuzzy logic control and other machine intelligence applications of fuzzy logic. (2) Understand the basics of an evolutionary computing paradigm known as genetic algorithms and its application to engineering optimization problems. (3) Understand the fundamental theory and concepts of neural networks, neuro-modeling, several neural network paradigms and its applications. (4) Contents: Introduction to Fuzzy Logic. Introduction to Fuzzy Sets. Introduction to Fuzzy Inference Systems. Fuzzy Logic Applications. Introduction to Genetic Algorithm. Fundamental Concepts of Artificial Neural Networks and Neural Network Architectures.

This course is designed for beginners with no previous knowledge of Arabic. It introduces students to the Arabic alphabet, vowels and tones and to construct simple sentences using basic vocabulary and expressions related to everyday communicative situations. Through theme-based classroom activities, students develop the four skills of listening, speaking, reading and writing. By the end of the course, students are able to read, write and talk in Arabic about simple topics related to their daily lives.

This course introduces the essential software engineering body of knowledge, including software project management, software requirements and specifications, software design, and software testing and maintenance.

This course examines the evolution of British painting, sculpture, architecture and music from Wellington's victory at Waterloo in 1815 to the Wall Street Crash in 1929. Students observe, analyze and assess the role of art and artists within this rapidly evolving society and the British world in the 19th and early 20th century. Topics include the conservative canvases of Victorians at the Royal Academy to the Modernist abstractions of the Rebel Art Centre, and the painters of the Great War in The Roaring Twenties in the West End of London.

This upper division course applies concepts in symbolic methods and analysis to solve a variety of problems in combinatorics. Course content includes: 1. Combinatorial Structures and Ordinary Generating Functions: symbolic enumeration methods, integer compositions and partitions, words and regular languages, tree structures 2. Labelled Structures and Exponential Generating Functions: labelled classes, surjections, set partitions, words, alignments, permutations, labelled trees, mapping and graphs 3. Complex Analysis, Rational and Meromorphic Asymptotics: generating functions as analytic objects, analytic functions and meromorphic functions, singularities and exponential growth of coefficients 4. Singularity Analysis of Generating Functions: coefficient asymptotics, process of singularity analysis. The course requires students to take prerequisites.

This course equips students with the basic concepts and problem solving skills for analyzing objects moving close to the speed of light and particles exhibiting quantum behavior. Students gain physical insights and analytical skills for studying relativistic problems and quantum systems. The course content includes: 1.Foundation (FND): a. Wave properties b. Speed of Light c. Superposition, Diffraction and Interference d. Atoms and subatomic particles 2. Special Relativity (SR) a. Frames of Reference and Galilean Transformation b. Postulates of Special Relativity and Lorentz Transformation c. Length Contraction and Time Dilation d. Minkowski’s Space-time diagrams e. Resolving Paradoxes f. Relativistic Momentum, Kinetic Energy and Energy 3. Basic Nuclear Physics (BNP) a. Radioactive particles ( b. Nuclear Fission and Fusion c. Radioactivity d. Mass-Energy Equivalence e. Medical application and Dosage 4.Quantum Physics (QP) a. Blackbody Radiation b. Quantization of Physical Quantities c. Photoelectric Effect d. Compton Scattering and wavelength e. Pair Production/Annihilation f. Double Slit Experiment g. Davidsson-Germer Experiment h. Wave-Particle Duality i. Hydrogen Atom (Bohr’s Model & Atomic Spectra) 5.Basic Quantum Mechanics (BQM) a. Eigenvalues, Eigenfunctions and Operators b. Two level systems c. Schrodinger’s Equation and Wave function d. Probability (Density) e. Infinite and Finite Potential Well (Particle in a Box) f. Quantum Harmonic Oscillator g. Potential Barrier/Step h. Expectation Value and Uncertainty i. Heisenberg’s Uncertainty Principle j. Commuting Operators k. Hydrogen Atom l. Quantum Numbers, Degeneracy