rer re hi site: MGTO 221
DEPARTMENT OF INFORMATION AND SYSTEMS MANAGEMENT ISMT 501 Management Information Systems [3-0-0:3]
[Previous course code: BINF51 I] Introduction to information systems in organisations from the general manager's perspective, managerial and strategic uses of informaton systems, overview of enabling technologies, how information systems are developed and managed. (MBA core course) Exclusion: ISMT 502
ISMT 502 Highlights in Management Information Systems [2-0-0:2]
[Previous course code: BINF 5121 Condensed version of ISMT 501 with focus on managerial and strategic uses of IS. (MBA core course for part-time students only.) Exclusion: ISMT 501
ISMT 521 Decision Support Systems [2-0-3:3]
Advanced topics in decision support systems development, individual projects, emphasis on design and implementation of decision support systems for on-going business concerns.
Postgraduate Course Descriptions
ISMT 522 Artificial Intelligence and Expert Systems 12-0-3:3]
Adapting knowledge-based systems to business situations, individual projects.
ISMT 523 Computer and Data Communications [2-0-3:3]
[Previous Course Code: BINF5231 Technological trends in telecommunications networks and their impacts on business processes. Discussion of strategies and methods for network planning and administration. Prerequisite: ISMT 501 or ISMT 502
ISMT 524 Information Systems Strategy [2-0-3:3]
[Previous Course Code: BlNF 5241 Long-range planning for information systems investment and employment; study of information technology in Hong Kong's business environment; individual and team projects. Prerequisite: ISMT 501 or ISMT 502
ISMT 525 Multimedia Information Systems [2-0-3:3]
Provides operational knowledge of multi-media technology to information systems imple- mentation. T o ~ i c s ~ include desian of advanced man-machine interfaces and databases.
Prerequisite: ISMT 526
-
ISMT 526 Business Applications of Database Management Systems [2-0-3:3]
lntroduction to database management systems with emphasis on business applications.
Technical and administrative considerations in database implementation. Students implement a business system using a commercial-off-the-shelf software package. Exclu- sion: COMP 531 Prerequisite: ISMT 501 or ISMT 502
ISM1 527 Group/Negotiation Support Systems [2-0-3:3]
Designing and using information systems to support collaboration and negotiation, managing group sessions, the negotiation process, individual and group projects.
ISMT 528 Computer Security Management [2-1 a 3 1
In-deoth studv of information systems security in business organisations. Basic principles and f;nctionsof secure systems reviewed; management policy, plans and programmes discussed. Prerequisite: ISMT 501 or ISMT 502
ISM1 529 Information Systems Development Methodologies [ W . 3 ] [Previous course code: 131~~5231 Overview of principles of structured systems develop- ment methodolwies: advanced systems analysis and design techniques; CASE tools, 4 d k , and
DBMS.
prerequisite: ISMT 501 O ~ ~ S M T 502-
ISM1 530 Telecommunications and Information Networking [3-0-0:3]
\Previous course code: BlNF 5301 Hong Kong's telecommunication infrastructure and
;egulatory environment; basic fu-nctions of communications systems; software and hardware caoabilities: data commun~cation management; networking; EDI. Prerequisite:
ISMT 531 Information Systems Planning and Management [3-0-0:3]
[Previous course code: BlNF 5241 Managing information systems, role of the CIO, frameworks for understanding information systems functions; planning, budgeting, end- user computing, operation management, organisational structures.
Prerequisite: ISMT 501 or ISMT 502
ISM1 540 Information Systems Research Methodologies [3-0-0:3]
Introductory core course for PhD students majoring or minoring in information systems;
overview of the conduct of research in the information systems field. Advanced master's students may register with the approval of the instructor.
Postgraduate Course Descriptions
ISMT 541 A Survey of Research i n Information Technology 13-0-0:3]
Core course for PhD students majoring or minoring in information systems; research topics should relate to technical issues. Advanced master's students may register with the approval of the instructor.
ISMT 542 Survey of Research in the Management of lnformation [3-0-0:3]
Systems
Core course for PhD students majoring or minoring in information systems; research topics should relate to management issues, illustrating the impact of technology on organisations. Advanced master's students may register with the approval of the instructor.
ISMT 551 Introductory Statistics for Business 13-0-0:3]
[Previous Course Code: MGMT5011 Covers various discrete and continuous probability models and their applications in business problems, estimation and testing of hypotheses, simple and multiple linear regression analysis. (MBA core course)
ISMT 552 Applied Regression and Data Analysis 13-0-0:3]
[Previous Course Code: MGMT5021 Topics include multicollinearity, dummy variables, stepwise and all-possible regression, and logistic regression, with emphasis on analysing and modelling business data using statistical softwares. Introduction to multivariate regression. Exclusion: MATH 342 Prerequisite: ISMT 551
ISMT 553 Multivariate Data Analysis [4-0-0:4]
[Previous Course Code: MGMT 5031 Multivariate statistics (canonical correlation, discriminant analysis, MANOVA, principal components and factor analysis) studied with the use of statistical software; applications to managerial problems. Exclusion: MATH 347 Prerequisite: ISMT 551
ISMT 554 Time Series Analysis and Forecasting [4-0-0:4]
[Previous Course Code: MGMT5041 Box-Jenkins algorithm of ARlMA model identifica- tion, estimation and diagnosis; transfer function modelling, state space methods and the Kalman-filter algorithm introduced. Prerequisite: ISMT 551
ISMT 561 Operations and Technology Management [3-0-0:3]
[Previous Course Codes: MGMT 474, MGMT 5621 Analysis of strategic and operating policies and decisions for systems that produce goods and services; examination of the role of comprehensive planning, inventories, resource scheduling, distribution systems, and system location. (MBA core course) Exclusion: INDE 517
ISMT 563 Modern Manufacturing [4-0-0:4]
[Previous Coursecode: MGMT5631 Coordination of production with marketing and other coporate areas for improved quality or effectiveness; new production possibilities, including focused manufacturing, manufacturing cells, and flexible manufacturing. Pre- requisite: ISMT 561
ISMT 564 Service Operations [4-0-0:4]
[Previous Course Code: MGMT 5641 Close link between marketing and service operations; methods to monitor and improve service operations such as service system models, facility layout, distribution and logistics systems. Exclusion: INDE 539 Prereq- uisite: ISMT 561
ISMT 565 Case Studies i n International Operations Management [4-0-0:4]
[Previous Course Code: MGMT 5651 Impacts of the workforce, economy, culture, education, government, technology, natural resources, and communication networks on
Postgraduate Course Descriptions
successful operations; national and multi-national situations in manufacturing and sew- ice. Prerequisite: ISMT 561
ISMT 571 Management Model Building [2-4 credits]
[Previous Course Code: MGMT5101 Models for management decision-making drawn from multiple regression, decision analysis, linear programming, waiting lines, PERTI CPM, and simulation; STORM and @RISK packages used for computer solutions.
ISMT 572 Optimisation Models for Management [3-0-0:3]
\Previous Course Code: MGMT 5121 Models drawn from integer, network, goal,
;Ionlinear and dynamic programming with emphasis placed on modelling, software, and the practical issues of solution implementation. Exclusion: INDE 523 Prerequisite: ISMT
ISMT 573 Stochastic Models for Management [3-0-0.3]
IPrevious Course Code: MGMT 5131 Managerial decision-making under uncertainty.
~ o d e l s of decision theory, Markov-proces~es, queues and queuing networks and simulation with emphasis on modelling, software, and issues of practical application.
Prerequisite: ISMT 571
ISMT 581 Introduction t o Probability [3-0-0:3]
[Previous Course Code: MGMT 60081 Axioms of probabil~ty, conditional probability and independence, permutations and combinations, density and distribution functions, exam- ples of random variables, independence of random variables, transformations of random variables, order statistics, expected value, variance, higher moments; Chebychev's inequality, convergence concepts, moment generating functions, central limit theorem.
Exclusion: MATH 241 Background: Calculus and some knowledge of linear algebra.
ISMT 582 Statistical Methods for Business and Economics I [3-0-0:3]
\Previous Course Code: MGMT 600C1 Properties of a random sample, sufficient statistics. Point and interval estimation, hypothesis testing, optimality of estimators and tests, linear regression and analysis of variance. Exclusion: MATH 543 Background:
Calculus and some knowledge of linear algebra.
ISMT 583 Statistical Methods for Business and Economics II [3-0-0:3]
[Previous Course Code: MGMTGOOD] Selected topics in multiple regression, analysis of variance, multivariate statistical methods, survey sampling, bootstrap and resampling techniques. Background: A calculus-based statistics course, and a knowledge of matrix algebra.
ISMT 588 Field Study I [2-0-0:2]
[Previous course code: BlNF 5881 Supe~ised study of an organisation, including identification of strategic questions, design of studies, collection and analysis of data, development and reporting recommendation. (MBA core course)
ISMT 589 Field Study II [3-0-0:3]
[Previous course code: BlNF 5891 Continuation of ISMT 588. (MBA core course) Prerequisite: ISMT 588
ISM1 610 Special Topics in Information Systems [2-4 credits]
[Previous Course Code: BINF610] Study of selected areas of information systems and information technology; individual projects and reports.
Postgraduate Course Descriptions
ISMT 659 Special Topics in Statistics [2-4 credits]
[Previous Course Code: MGMT 6001 Advanced topics of current interest in statistics.
ISMT 669 Special Topics in Operations and Technology [2-4 credits]
Management
[Previous Course Code: MGMT 6601 Advanced topics in operations and technology management. Topics vary with recent developments and current interest.
ISMT 679 Special Topics i n Management Science [2-4 credits]
[Previous Course Code: MGMT6101 Advanced topics of current interest in management science. Topics vary with recent developments.
ISMT 697 Independent Study [2-4 credits]
Study of selected information and systems management issues under the supervision of a faculty member. (Special permission from the Associate Dean is required for MBA students to take this course.)
ISMT 698 MBA Research Project [3 credits]
An independent research project on a business topic carried out under the supervision of a faculty member.
ISMT 710 Special Topics in lnformation Systems Research [3-0-0:3]
Topics determined by students or instructor; preparation and presentation of papers;
review of new papers written by information systems faculty. Intended primarily to permit students to pursue in-depth subjects not fully covered elsewhere. Prerequisite: ISMT 540 ISMT 720 Seminars i n lnformation Systems Research [3-0-0:3]
Doctoral seminar to prepare PhD students to conduct advanced research in information systems management. Extensive literature reviews help sharpen critical thinking and identify relevant research topics. Prerequisites: ISMT 540, ISMT 541 and ISMT 542 ISMT 730 Development of a Personal Research Agenda [3-0-0:3]
Designing a long-range research plan, choosing a research stream, writing research and grant proposals. Doctoral seminar in last semester of doctoral course work.
ISMT 750 Doctoral Seminar [O-1-0:1]
Papers presented by faculty, students, and visitors. Mandatory for second-year PhD students. May be repeated for credit.
ISMT 799 Doctoral Thesis Research
Original and independent doctoral thesis research. A successful defence of the thesis leads to the grade Pass or Pass with Distinction. No course credit is assigned.
DEPARTMENT OF MARKETING
MARK 512 Marketing Strategy and Policy 13-0-0:3]
Strategic marketing objectives and implementation of strategies through pricing, distribu- tion channels, promotion and new-product decisions. (MBA core course)
MARK 521 Global Marketing Management [4-0-0:4]
Opportunities, distinctive characteristics and emerging trends in foreign markets; strate- gies for marketing within foreign countries; impact of social, cultural, economic and
Postzraduate Course DescriDtions
political differences; organisational planning and control; development of global market- ing strategies. Prerequisite. MARK 51 2
MARK 522 Promotion Strategy and Management [4-0-0:4]
Formulation of promotion policies; designing the promotion mix with emphasis on the role of advertising; objectives, strategy, budgeting, creative decisions, media planning, measuring effectiveness, organisation of advertising function. Prerequisite: MARK 512
MARK 523 Customer Analysis [2QO:2]
~ a t u r e and determinants of customer behaviour; influence of sociological and psychologi- cal factors such as personalitv, small aroups. demoara~hic variables. social class and culture on consumer attitudes, consukption~and behaviour. Prerequisite:
MARK 512
MARK 531 Marketing Research [s-00:4]
Methods of structuring, analysing and measuring major classes of marketing problems;
quantitative aspects of demand, consumer reaction to product characteristics, advertising effectiveness, effectiveness of competitors' strategies. Prerequisite: MARK 51 2
MARK 588 Field Study I [2-0-0:2]
A supervised study of an organisation, including identification of strategic questions, design of studies, collection and analysis of data, development and reporting recommen- dation. (MBA core course)
MARK 589 Field Study I1
Continuation of MARK 588. (MBA core course)
MARK 690 Special Topics [ 2 4 credits]
Study of selected areas in marketing knowledge and thought; topics may vary by semester; individual projects and reports.
MARK 697 Independent Study [ 2 4 credits]
Study of selected marketing issues under the supervision of a faculty member. (Special permission from the Associate Dean is required for MBA students to take this course.)
MARK 698 MBA Research Project [3 credits]
An independent research project on a business topic carried out under the supervision of a faculty member.
I
DEPARTMENT OF MATHEMATICSI
Normally 500-level courses and 600-level topic courses have course vector [3-0-0:3].MATH 501 Advanced Real Analysis I
Abstract integration theory; measure theory; differentiation; convex functions and in- equalities; Fourier analysis; approximation theory. Elementary functional analysis, L spaces, Hilbert spaces, and such topics as harmonic analysis, distributions and ~obolev spaces as selected bv the instructor. Backaround: MATH 302
fieferences Rudin, keal and ~ o r n ~ l e x ~ i a l y s i s , and
Folland, Real Analysis
-
Modem Techniques and their Applications MATH 502 Advanced Real Analysis IIContinuation of MATH 501.
Postgraduate Course Descriptions
MATH 503 Complex Function Theory
Review of basic properties of analytic functions. Phragmen-Lindelof principle; normal family; Riemann mapping theorem and Weierstrass factorisation theorem; Schwarz reflection principles and analytic continuation; harmomic functions; entire functions;
Hadamard factorization theorem: Picard theorems. Backaround: MATH 204 References: Rudin, Real and ~ o m ~ l e x ~ n a l ~ s i s , and
-
Conway, Functions of One Complex Variable MATH 505 Theory of Ordinary Differential Equations
Existence and general properties of solutions; linear systems; Floquet theory; stability;
Lyapunov's method; nonlinear systems; two-dimensional systems; Poincare-Bendixson theory; nonlinear oscillation.
Reference: Hale, Ordinary Differential Equations MATH 507 Theory of Partial Differential Equations
Distributions; Fourier transforms; Sobolev spaces; Cauchy problem; Hilbert space methods; elliptical problems and regularity; hyperbolic and parabolic systems.
MATH 509 Functional Analysis
General theory of topological vector spaces; Normal spaces; Hilbert spaces; Banach algebra; spectral theory; Riesz representation theorem; nonlinear functional analysis.
Prerequisite: MATH 501 or 502
References: Rudin, Functional Analysis, and Conway, A Course in Functional Analysis MATH 510 Nonlinear Analysis
Calculus on Banach space, Brouwer and Leray-Schauder degrees, fixed point theorems, Mountain Pass theorems, energy methods, monotone methods, local and global bifurca- tion theory, applications to nonlinear differential eauations. Backaround MATH 305 - . . Reference: Nirenberg, Topics in Nonlinear ~unciional ~ n a l ~ s i i
MATH 51 1 Advanced Algebra I
Basic theory of categories. Krull-Schmidt theorem. Projective and injective modules.
Moritacontexts. Semi-primitive rings. Density theorems. Central simple algebras. Group algebras. Character theory and induced representations of finite groups. Localisation.
Hilbert basis theorem. Hilbert Nullstellensatz.
Reference: Jacobson, Basic Algebra, Vols l and ll MATH 512 Advanced Algebra I1
Continuation of MATH 51 1.
MATH 521 Advanced Differential Geometry
Differential forms; integration on manifolds; tensdr fields; Riemannian metric; geodesics;
Gaussian curvature on surfaces, Riemannian curvature; Frobenins theorem; connec- tions.
Reference: Spivak, A Comprehensive Introduction to Differential Geometry, Vols I, II and Ill
MATH 523 Differential Topology
Manifolds, tangent bundle, tubular neighourhood, Whitney embedding theorem, regular- ity and Sard's theorem, degree, vector fields and Euler number, Morse theory, further topics in applications to physics and mechanics.
References: Milnor, Topology from the Differentiable Viewpoint, and V. Guillemin & A. Pollack, Differential Topology
Post~raduate Course Describtions Postgraduate Course Descriptions
MATH 524 Algebraic Topology
Fundamental group, covering space, homology and cohomology, CW-complex, manifold and duality, selected topics.
Reference: M. J. Greenberg and J. R. Harper, Algebraic Topology: A First Course MATH 525 Algebraic Geometry
Theory of algebraic curves: Riemann-~och theorem; Abel's theorem, correspondences and Castelnuovo's inequality; elliptic, hyper-elliptic and modular curves; general theory of algebraic varieties and schemes.
Reference: Hartshome, Algebraic Geometry
MATH 528 Mathematical Methods of Classical Mechanics
Variational principles. Lagrange's equations. Hamilton's equations. Liouville's theorem.
Hamiltonian formulism. Canonical transformation. Svm~letic structure. Invariant tori.
Quasi-periodic motion. Poincare surface of section: stable and unstable systems.
Transitions to chaos.
Reference: V. I. Arnold, Mathematical Methods of Classical Mechanics, 2nd edition MATH 531 Advanced Numerical Methods for Elliptic Partial Differential
Equations
Finite difference, finite element and boundary integral methods; consistency and conver- gence of methods. Othertopics may include multigrid, domain decomposition and parallel algorithms. Background: MATH 331
Reference: Birkhoff and Lynch, Numerical Solution of Elliptic Problems MATH 532 Hyperbolic Systems
-
Theory and ComputationDerivations of conservation laws. ~ u l e r equations, shallow water equations. Lagrangian versus Eulerian methods of descridion. Characteristics and Riemann invariants. Clas- sification of discontinuities. ~eaksolutions. Riemann problem. CFL condition. Shock- fitting, shock-capturing and the random choice method. Upwind schemes, Godunov scheme, TVD schemes. Multidimensional problems.
References R. LeVeque, Numerical Methods for Conservation Laws,
Strikwerda, Finite Difference Schemes and Partial Differential Equations, and
W .H. Hui, Lecture Notes on "Hyperbolic Systems - Theory andApplications"
MATH 533 Advanced Numerical Linear Algebra
Iterative methodsfor solving linearsystems, sparse matrix computations, matrix eigenvalue problem, SVD, parallel algorithms. Background: MATH 231
References Golub and van Loan, Matrix Computations; and
Bertsekas and Tsitsiklis, Parallel and Distributed Computer Numerical Method
MATH 534 Numerical Methods for Nonlinear Equations
Newton, quasi-Newton, secant updates and continuation methods for the solution of nonlinear equations. Numerical methods for bifurcation problems: pseudo-arclength, detectina bifurcation ~oints. branch switchina. Backaround. MATH 231
~ e f e r e n k s ~ennisand Ghnabel, ~ume&l ~ e t h o d s for Unconstrained Optimization and Nonlinear Equations; and
Keller, Lecturers on Numerical Methods in Bifurcation Problems
MATH 535 Computational Fluid Dynamics
Methodology of largescalecomputation to solve fluid dynamical problems. Topics include finite difference, finite element and finite volume methods. Numerical solutions of potential flow, Euler equations, and Navier-Strokes Equations.
Reference: C. Hirsch, Numerical Computation of Internal and External Flows, Vols I &
I I
MATH 541 Advanced Probability Theory I
Probability spaces and random variables. Distribution functions. Expectations and moments. Independence. Convergence concepts. Law of large numbers and random series.
References: K.L. Chung, A Course in Probability Theory, and P. Bilingsley, Probabilify and Measure
MATH 542 Advanced Probability Theory II
Characteristicfunctions. Limit theorems. Law of the iterated logarithm. Infinite divisibility.
Conditional expectation and conditional independence.
introduction
to Martingales.Reference: K.L. Chung, A Course in Probability Theory MATH 543 Advanced Mathematical Statistics I
Theory of statistical inference in estimation. Topics include: sufficiency, ancillary statistics, completeness, UMVU estimators, information inequality, efficiency, asymptotic maximum likelihood theory. Other topics may include Bayes estimation and conditional inference.
References: E.L. Lehmann, Theory of Point Estimation, and D.R. Cox & D.V. Hinkley, Theoretical Statistics MATH 544 Advanced Mathematical Statistics II
Theory of statistical inference in hypothesis testing. Topics include: uniformly most powerful tests, unbiasedness, invariance, minimax principle, large-sample parametric significance tests. Concept of decision theory also covered.
References: E.L. Lehmann, Theory of Statistical Hypothesis, and D.R. Cox & D.V. Hinkley, Theoretical Statistics MATH 545 Stochastic Processes
Theory of Markov processes, second order stationary theory, Poisson and point proc- esses, Brownian motion, Martingales and queueing theory.
References: S. Karlin and H. Taylor, A First Course in Stochastic Processes, and S. Karlin and H. Taylor, A Second Course in Stochastic Processes MATH 546 Time Series Analysis
Basic ideaof time series analysis in both the timeand frequency domains. Topics include:
autocorrelation, partial ACF, Box and Jerkins ARIMA modelling, spectrum and periodogram, order selection, diagnostic and forecasting. Real life examples used throughout the course. Prerequisites: MATH 243 andlor MATH 543
Reference: Brockwell, P.J. and Davis R.A., Time Series: Theory and Methods MATH 551 Mathematical Methods in Science I
Theory and solution of first and second order partial differential equations; Riemann's method; quasi-linear systems; Burger's equation; Korteweg-deVries equation; potential theory; partial differential equations of the mixed type; Fredholm and Volterra integral equations; singular integral equations; Wiener-Hopf method.
Reference: Keener, Principles of Applied Mathematics
Postgraduate Course Descriptions
MATH 552 Mathematical Methods in Science II Continuation of MATH 551.
MATH 553 Asymptotic Methods
Asymptotic expansions; methods of steepest descent and stationary phase; differential equations with a large parameter; WKB method; matched expansion method; multiple scale method; Bogoliubov-Krylov method; variational-average method.
References Erdelyi, Asymptotic Expansions, and Hsieh, Asymptotic Methods MATH 561 Fluid Mechanics I
Thermodynamics; Eulerian and Lagrangian descriptions of fluid motion; conservation laws: constitutive relations; vorticity and Bernoulli theorem; potential flow in two and three dimensions; water waves; sound waves; simple waves and shock waves; exact solutions of viscous flow; low Reynolds number flows; boundary layer theory and Blasius problem;
hydrodynamic stability; turbulence.
References. D. Y. Hsieh, Fluid Dynamics, or
W. H. Hui, Lecture Notes on Fluid Mechanics MATH 562 Fluid Mechanics II
Continuation of MATH 561.
MATH 565 Waves i n Fluids
Sound waves; water waves; solitary waves; waves in stratified fluids; waves in rotating fluids; waves in two-phase fluids; waves in plasma; waves in gravitating media; waves in superfluids.
References: Whitham, Linear and Non-Linear Waves, or Lighthill, Waves in Fluids
MATH 566 Stability and Chaos
Rayleigh-Taylor stability; Kelvin-Helmholtz stability; stability of parallel flows; Taylor- Couette stability; Rayleigh-Bernard stability; Lorenz equations; strange attractors; period doubling; chaos; turbulence.
MATH 571 Solid Mechanics I
[Previous Course Code: MATH 572 in 91/92] Stress and equilibrium; kinematics of deformation; strain; compatibility relations; tensor representations; principle of virtual work; stress-strain relations in elasticity, plasticity, and viscoelasticity; uniqueness;
extremum principles; energy methods; general theorems in linear elasticity; torsion;
fundamental singular solutions; plane strain and stress; cavity, inclusion, crack and contact problem<; complex variable techniques; thermoelasticity; stress waves.
Reference: Fung, Foundation of Solid Mechanics MATH 572 Solid Mechanics II
Continuation of MATH 571.
MATH 581 Operations Research
Linear programming and duality theory; scheduling; allocations of resources; network
Linear programming and duality theory; scheduling; allocations of resources; network