BIEN 5050 
Global Health Ethics 
210:3 
 [Previous Course Code(s): BIEN 6930A]
Through realtime videoconferencing with
participants from different countries such
as the United States, United Kingdom,
Australia, Mexico, and Philippines, this
ONLINE course aims at helping students learn
the definitions of global health ethics and
bioethics, the different protocol and
systems in place to ensure adherence to
ethical principles, and how different
stakeholders and cultures may interpret
ethics differently. Through case studies on
ethical challenges from realworld
situations, students will analyze and
discuss the complexities of global health
practice and research ethics in a global
context. This course is cooffered with the
University of Southern California. Besides
the joint LIVE sessions, facetoface
sessions and group projects are also
arranged for the introduction of background
knowledge, case studies, group project
discussion, and technical support.

CHEM 5110 
Advanced Organic
Chemistry I 
300:3 
 Mechanism and
theory in organic chemistry, molecular orbital
theory, structureactivity relationships,
isotope effects, solvent effects, neighboring
group participation, and reactive intermediates.
Background:
CHEM 2118
(prior to 201718), CHEM 3120 and CHEM 4140

CHEM
5220 
Statistical Mechanics: Theory and Applications
in Complex Systems 
300:3 
 Classical statistical mechanics and its
applications in complex chemical and
biological systems. Background: CHEM 2418
Physical Chemistry (prior to 201819)

CHEM
5310 
Advanced Inorganic Chemistry I 
300:3 
 Symmetry, group theory; molecular orbitals,
electronic states; ligand field theory;
electronic structure of metal complexes; theory
of bonding and structure of inorganic compounds;
chemistry of the elements; major physical
methods used in the determination of molecular
structure and bonding.

CHEM 5540 
Chemistry for Advanced
Materials 
300:3 
 [Colist with NANO 5100] Chemistry of
materials with nanodimensional structures and
advanced functionalities. Working principles of
liquidcrystalline displays and organic
lightemitting diodes. Hightech applications of
luminescent materials in optoelectronic systems,
chemical sensors and biological probes.
 Exclusion(s):
CHEM 4220, NANO 5100

CIVL 5220 
Construction
Information Technology 
300:3 
 [Previous Course Code(s): CIVL 6100B]
This course
covers the principles and applications of
information technology for construction
management. Topics include building
information modeling, database management
and implementation, webbased communication
and project management technologies,
decision support systems, knowledge
management, and data processing and
analysis. Background:
CIVL 3210

CIVL 5350 
Bridge Engineering 
300:3 
 This course introduces the limit states
design method for bridges, discusses the
design philosophy and code requirements and
presents examples of analysis and design of
bridge superstructure components (using the
limit states design method).

CIVL 5410 
PhysicalChemical Water/Wastewater Treatment 
300:3 
 Principles of treatment for removing
contaminants from drinking water and
municipal wastewaters; includes
equalization, neutralization, precipitation,
coagulation and flocculation, sedimentation,
filtration, air stripping, carbon
adsorption, disinfection.
 Exclusion(s):
CIEM 5460, JEVE 5460

Prerequisite(s): CIVL 3420

CIVL 5460 
Landfill Engineering and Design 
300:3 

Practical aspects of solid waste collection
methods and equipment, current available
disposal techniques with emphasis on
complete engineering design of landfill
systems, and landfill leachate treatment
will be included.
 Prerequisite(s):
CIVL 2410

CIVL 5520 
Water Resources Systems Analysis 
300:3 
 Systems approach to the area of water
resources management; includes water
resources systems within the context of
public investment systems, criteria and
design of water management schemes.
Background: ECON 2113

CIVL 5610 
Urban
Transportation Networks Analysis 
300:3 
 Reviews
transportation planning models and traffic
analysis; examines the assignment of traffic
flow on a network according to
userequilibrium and system optimal
objectives; addresses formulation methods
and solution techniques. Background:
CIVL 3610
AND IEDA 3010

CIVL 5630 
Traffic Control Fundamentals 
300:3 
 Traffic flow
fundamentals; microscopic and macroscopic
traffic flow characteristics; principle and
theory of traffic signals; essential
modeling techniques; various traffic signal
control models.
Background: CIVL 3610

Exclusion(s): CIEM 5630

CIVL 5710 
Advanced Soil
Mechanics 
300:3 
 Selected
topics from recent advances in theoretical
and experimental development in soil
mechanics; includes stressstrain behavior
of soil, consolidation settlement, drained
and undrained strength slope stability
problems. Background:
CIVL 3740

CIVL 5750 
Geotechnical
Earthquake Engineering and Soil Dynamics 
300:3 
 Earthquakes
and characterization of ground motions,
seismicity assessment, soil dynamics and
site response analysis, soil liquefaction
assessment and postliquefaction analysis,
seismic analysis of slopes and embankments,
lateral earth pressures and retaining
systems, dynamic soilstructure interaction.
Background:
CIVL 3740

CIVL 5760 
Geotechnical Site Characterization 
300:3 
 Presents stateoftheart geotechnical
site characterization methodologies;
includes basic principles of site
characterization planning, drilling and
sampling, soil and rock description, cone
penetration test, standard penetration test,
pressuremeter test, dilatometer test,
geophysical methods, permeability and ground
water monitoring, and fundamentals of
geostatistics. Background: CIVL 3720 (prior
to 201819)

CIVL 5770 
Unsaturated Soil
Mechanics and Engineering 
300:3 
 Fundamental
principles, stress state variables,
steadystate and transient flows, theory of
shear strength and its measurements, soil
stiffness, plastic and limit equilibrium
analyses of earth pressures, slope stability
and bearing capacity, critical state
framework, instrumentation, engineering
applications on slopes including static
liquefaction of loose fill slopes,
foundations, forensic studies such as slope
failures. Background:
first
degree in Civil Engineering

Exclusion(s): CIEM 5770

Prerequisite(s): CIVL 3740 or equivalent

CIVL 6050S 
Civil
Engineering Seminar I 
100:0 
 Discussion of current research by
faculty members, and guest lectures on
recent advances in civil engineering. Graded
P or F.

COMP 5211 
Advanced
Artificial Intelligence 
300:3 
 This
advanced AI course will cover advanced
concepts and techniques in AI. The major
topics will be: problem solving, knowledge
and reasoning, planning, uncertain knowledge
and reasoning, learning, and robotics.

COMP 5222 
Statistical Learning Models
for Text and Graph Data 
300:3 
 [Colist with
MATH 5471]
[Previous Course Code(s): COMP 6211B] This course will introduce a number
of important statistical methods and
modeling principles for analyzing
largescale data sets, with a focus on
complex data structures such as text and
graph data. Topics covered include
sequential models, structure prediction
models, deep learning attention models,
reinforcement learning models etc., as well
as open research problems in this area.
 Exclusion(s): COMP 4221, COMP 5221, MATH
5471

COMP 5331 
Knowledge Discovery in
Databases 
300:3 
 An introduction
to knowledge discovery in databases. Different
discovery and learning techniques are presented
and compared. Automatic generation of query
language expressions is discussed in depth.
Potential applications are shown. Background: COMP 3311

COMP 5411 
Advanced Computer Graphics 
300:3 
 The first part
of this course covers an introduction to
mathematical tools and computational techniques
for image synthesis and manipulation of 3D
models. The second part covers more advanced
topics which may include digital geometry
processing, image processing, visualization, GPU
computing, numerical optimization methods. Background: COMP 3711,
Linear Algebra, Calculus
Exclusion(s): CSIT
5400 
COMP 5621 
Computer Networks 
300:3 
 Principles,
design and implementation of computer
communication networks; network architecture and
protocols, OSI reference model and TCP/IP
networking architecture; Internet applications
and requirements; transport protocols, TCP and
UDP; network layer protocols, IP, routing,
multicasting and broadcasting; local area
networks; data link and physical layer issues;
TCP congestion control, quality of service,
emerging trends in networking.
 Exclusion(s):
COMP 4622 (prior to 201819)

COMP 5631 
Cryptography and Security 
300:3 
 Classical
encryption techniques, block and stream
ciphers, publickey cryptography,
authentication, nonrepudiation, key
management, digital signatures, public key
infrastructure, cryptographic protocol,
secret sharing, electronic mail security, IP
security, Web security, Firewalls, Intrusion
detection. Background: Computer networks
 Exclusion(s): CSIT 5710

COMP 5711 
Introduction to Advanced
Algorithmic Techniques 
300:3 
 This is an
introductory graduate course in algorithmic
techniques. Topics include: advanced data
structures; graph algorithms; amortization;
approximation algorithms; online algorithms;
randomized and probabilistic analysis. Background: COMP 3711, COMP 3721

COMP 6211D 
Deep Learning 
300:3 
 This course focuses on deep learning and
its applications in various areas. The
topics include the basis of deep learning
and its applications in computer vision,
speech processing, optimization,
reinforcement learning, and natural language
processing. Specifically, various forms of
deep neural networks will be introduced,
such as convolutional neural networks,
context aggregation networks, recurrent
neural networks, graph neural networks, and
generative adversarial networks. The
students have the opportunities to implement
deep learning models for some AI tasks such
as image understanding, image synthesis,
graph analysis, and speech enhancement.

ELEC
5010 
Introduction to
the Design & Implementation of MicroSystems 
301:3 
 Introduction to
the concept of microsystems. Dimensional
scaling and its implications. Multiphysics
modeling. Microfabrication techniques.
Introduction to Coventor, a numerical simulation
package for microsystems. The design,
implementation and testing of a microdevice.
Exclusion(s): MECH
5950 
ELEC 5040 
Advanced Analog
IC Analysis and Design 
300:3 
 Noise
analysis; Advanced opamp design techniques;
Analog VLSI building blocks: multipliers,
oscillators, mixers, phaselocked loops, A/D
and D/A converters; Passive filter design;
Frequency scaling; Active filter design. Background: ELEC 4420
and ELEC 4510
 Exclusion(s): EESM 5120

ELEC 5050 
Advanced CMOS Devices 
300:3 
 Principles and characteristics of
semiconductor devices found in
StateoftheArt ICs. Emphasis is on
deepsubmicron MOS device design,
characterization and modeling. Important
issues such as short channel effects,
highfield behavior, hot carrier effects,
reliability and device scaling for present
and future technology will be covered.
 Prerequisite(s): ELEC 3500

ELEC 5070 
Microelectronics
Fabrication Technology 
300:3 
 Process
technologies in IC fabrication: epitaxial
growth; chemicalvapor and physicalvapor
deposition of films; thermal oxidation;
diffusion; ion implantation; microlithography;
wet/dry etching processes; process integration
of MOS and bipolar technologies.

ELEC 5090 
Advanced Photonics Technologies 
300:3 
 A brief review of modern optics
theories, Fourier optics based devices and
systems, fundamentals of laser physics,
optoelectronics, nonlinear optics and laser
spectroscopy.

ELEC 5300 
Stochastic Processes 
300:3 
 Borel/sigma
fields. Sequences of random variables and
convergence. Spectral factorization.
KarhunenLoeve Expansion. Stationarity,
ergodicity and spectral estimation. Mean square
estimation and Kalman filtering. Entropy.
System identification.
Background: ELEC 2600

ELEC 5360 
Principles of Digital
Communications 
300:3 
 The aim of this
course is to provide an indepth treatment of
the theoretical basis, analysis, and design of
digital communication systems. The first half of
the course will focus on the theoretical
foundations of a basic digital communication
system, including source coding, modulating and
channel coding, and introductory information
theory. The second half will deal with advanced
techniques including orthogonal frequency
division multiplexing (OFDM), multiantenna
communications, spreadspectrum communications,
and cooperative communications. Background: Probability theory
 Exclusion(s): EESM 5536

ELEC 5470 
Convex
Optimization 
300:3 
 Convex
optimization theory with applications to
communication systems and signal processing:
convex sets/functions/problems; Lagrange duality
and KKT conditions; saddle points and minimax
problems; numerical algorithms; primal/dual
decomposition methods. Applications: filter
design; robust beamforming; power control in
wireless systems; design of MIMO systems; GP
duality in information theory; network utility
maximization. For PG students in second year or
above. Background: Linear algebra (also basic
digital communications and basic signal
processing)

ELEC 5540 
High Tech Innovation and
Entrepreneurship 
300:3 
 [Previous Course Code(s): ELEC 6910I]
This
interdisciplinary class combines a technical
survey of emerging technologies/innovation
with practical hightech entrepreneurship
training. It surveys a few major areas of
innovation that will change the future
landscape of the hightech industry, with
notable guest lecturers describing business
cases and providing an industrial
perspective. The class also introduces
practical entrepreneurship principles for
business development. Students will learn
important skills such as building teams and
attracting talent, developing a
product/technology roadmap, marketing and
selling an idea, company structuring,
managing rapid growth, venture fund raising,
forming strategic partnerships, and
developing and intellectual property
strategy. Students will form
multidisciplinary teams to write realworld
business plans. Each team will develop a
business model and execution plan based on
its members' interests.
 Exclusion(s): CSIT 6000C, EESM 5810
(prior to 201920),
ELEC 6910N, SBMT 6010K

ELEC 5600 
LinearSystem Theory 
300:3 
 Introduces
modern system theory, with applications to
control, signal processing and related topics.
Basic system concepts, statespace and I/O
representation, properties of linear systems,
controllability, observability, minimality,
transferfunction matrices, state and output
feedback, stability, observers, optimal
regulators. Background: ELEC
2100, MATH 2350 and MATH 2352

ELEC 6910T 
Deep Learning 
300:3 
 This course focuses on deep learning and
its applications in various areas. The
topics include the basis of deep learning
and its applications in computer vision,
speech processing, optimization,
reinforcement learning, and natural language
processing. Specifically, various forms of
deep neural networks will be introduced,
such as convolutional neural networks,
context aggregation networks, recurrent
neural networks, graph neural networks, and
generative adversarial networks. The
students have the opportunities to implement
deep learning models for some AI tasks such
as image understanding, image synthesis,
graph analysis, and speech enhancement.

HUMA
5270 
Cantonese Linguistics 
300:3 
 This course deals with various issues of
Cantonese, including sounds and tones, word
formation, syntax and pragmatics. It will review
the history of the language by studying texts
from the early 19th century to the present; and
examine the current linguistic changes that have
redefined Hong Kong speech as a special variety
of Cantonese. [PU][C]

HUMA 5450 
Taiwan and Hong Kong Fiction 
300:3 
 A critical study of development, trends,
characteristics of narrative literature in
Taiwan and Hong Kong from the late 1960 to
the present from cultural, historical, and
gender perspectives. [PU][C]

HUMA 5690 
Major Issues in
the History of U.S.China Relations 
300:3 
 This course
examines the historical origins and evolution of
the complex relations between China and the
United States from the early 19th century to the
late 20th century. It explores some of the most
important events and persistent issues in
political, military, economic, and cultural
relations between the two countries. It also
introduces students to major competing
interpretations by American and Chinese
scholars. [C]

HUMA 5695 
Fascism 
300:3 
 This course aims to provide students with an
introduction to the comparative study of
twentiethcentury dictatorships. Course readings
will focus on Italian Fascism and National
Socialism, but the overarching theoretical
perspectives will be relevant to students of
nonEuropean dictatorships as well.
 Exclusion(s): HUMA 602N

HUMA 5770 
Field Research: Theory and Practice 
300:3 
 [Previous Course Code(s): HUMA 5550] Theories, methods, and techniques in
ethnographic field research are explored.
Students conduct individual and group
research projects.
 Exclusion(s): MGCS 5031
(prior to 201819)

HUMA 5820 
Confucianism: Song and Ming Periods 
300:3 
 A course on the Song and Ming
NeoConfucianism as a revivalist movement.
Close reading and exploration of a selected
number of texts. [PU][C]

HUMA 6001V 
Sentimental Republic: Emotion
in Modern Chinese Literature 
300:3 
 This course will employ an
interdisciplinary approach to an examination
of Chinese literature and culture from the
late Qing to the Republican era, with a
focus on the expression and representation
of emotion and affect. [C]

HUMA 6001X 
Socialist Film Culture 
300:3 
 This graduate course will explore the
film culture under Mao (19491976). Focusing
on a variety of cinematic forms and genres,
it roughly consists of three parts. The
first part examines the beginning and
development of socialist cinema during the
Seventeen Years (19491966). The second part
is devoted to the films made during the
Cultural Revolution (19661976). The third
part touches upon the postMao films that
represent the Cultural Revolution in
retrospect. The major theoretical
problematic of the course resides in the
complicated relationship between
totalitarian politics and cinematic
aesthetics. It will also explore other
related theoretical issues such as national
identity, ethnicity, women, children, and
animals.

HUMA 6003E 
Philosophy of History and
Society 
300:3 
 This course will introduce students to
key questions in the philosophy of history
and society in the context of the
development of modern German philosophy from
German Idealism and Marxism to Hermeneutics
and Critical Social Theory.

LIFS 5710 
Cellular Regulation 
300:3 
 Molecular basis
of cellular regulation. Cellular signal
transduction cascades.
 Exclusion(s): LIFS 6270
(prior to
201415)

MARK 5420 
Behavioral Decision Theory 
300:3 
 [Previous Course Code(s): MARK 6900H]
This course is designed to familiarize
students with a wide variety of issues
related to consumer judgment and decision
making. In addition to providing students
with basic knowledge on behavioral decision
theory, this course will provide rigorous
training to students to generate their own
research ideas that lead to projects that
are doable and worth doing. The readings
will be from Consumer Behavior/Marketing as
well as the basic disciplines of Economics
and Psychology.

MATH 5011 
Advanced Real
Analysis I 
300:3 
 Basic topology,
continuous function spaces, abstract measure and
integration theory, Lp spaces, convexity and
inequalities, Hilbert spaces, Banach spaces,
Complex measure. Background:
MATH 3033

MATH 5111 
Advanced Algebra I 
300:3 
 Advanced theory of groups, linear
algebra, rings, modules, and fields,
including Galois theory. Background: MATH
3121 and MATH 4121 (prior to 201415)

MATH 5230 
Differential Topology 
300:3 
 Manifolds, embedding and immersion,
Sard's theorem, transversality, degree,
vector fields, Euler number, EulerPoincare
theorem, Morse functions. Background: MATH
4225

MATH 5251 
Algebraic Geometry I 
300:3 
 Projective spaces, algebraic curves,
divisors, line bundles, algebraic varieties,
coherent sheaves, schemes. Some commumative
algebra and homological algebra such as
notherian ring, regular ring, valuation
ring, kahler differentials. Background: MATH
5111 or equivalent postgraduate algebra

MATH 5285 
Applied Analysis 
300:3 
 [Previous Course Code(s): MATH 6050B]
Contraction mapping theorem, Fourier series,
Fourier transforms, Basics of Hilbert Space
theory, Operator theory in Hilbert Spaces,
Basics of Banach space theory, Convex
analysis. Background: Undergraduate course
of multivariable calculus, linear algebra,
and real analysis

MATH 5311 
Advanced Numerical Methods I 
300:3 
 Numerical
solution of differential equations, finite
difference method, finite element methods,
spectral methods and boundary integral methods.
Basic theory of convergence, stability and error
estimates.

MATH
5350 
Computational
Fluid Dynamics for Inviscid Flows 
300:3 
 Derivation of
the NavierStrokes equations; the Euler
equations; Lagriangian vs. Eulerian methods of
description; nonlinear hyperbolic conservation
laws; characteristics and Riemann invariants;
classification of discontinuity; weak solutions
and entropy condition; Riemann problem; CFL
condition; Godunov method; artificial
dissipation; TVD methods; and random choice
method.

MATH
5351 
Mathematical Methods in Science and Engineering
I 
300:3 
 Modeling and analytical solution methods of
nonlinear partial differential equations (PDEs).
Topics include: derivation of conservation laws
and constitutive equations, wellposedness,
traveling wave solutions, method of
characteristics, shocks and rarefaction
solutions, weak solutions to hyperbolic
equations, hyperbolic Systems, linear stability
analysis, weakly nonlinear approximation,
similarity methods, calculus of variations.

MATH
5380 
Combinatorics 
300:3 
 Enumerative Combinatorics: bijective
counting, permutation statistics, generating
functions, partially ordered sets, Mobius
inversions, Polya theory. Graph Theory:
cycle space, bond space, spanningtree
formulas, matching theory, chromatic
polynomials, network flows. Matroid Theory:
matroid axioms, representations, duality,
lattice of flats, transversals. Background:
Linear algebra; Calculus
 Prerequisite(s): MATH 2343 or MATH 3343

MATH
5411 
Advanced Probability Theory
I 
300:3 
 Probability
spaces and random variables, distribution
functions, expectations and moments,
independence, convergence concepts, law of large
numbers and random series.

MATH
5431 
Advanced Mathematical
Statistics I 
300:3 
 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.

MATH
5471 
Statistical Learning Models for Text and Graph
Data 
300:3 
 [Colist
with
COMP 5222]
[Previous Course Code(s): MATH 6450D]
This course will introduce a number of
important statistical methods and modeling
principles for analyzing largescale data
sets, with a focus on complex data
structures such as text and graph data.
Topics covered include sequential models,
structure prediction models, deep learning
attention models, reinforcement learning
models, etc., as well as open research
problems in this area.
 Exclusion(s): COMP
5222

MATH
5520 
Interest Rate Models 
300:3 
 Theory of interest rates, yield curves,
short rates, forward rates. Short rate
models: Vasicek model and CoxIngersollRoss
models. Term structure models: HullWhite
fitting procedure. HeathJarrowMorton
pricing framework. LIBOR and swap market
models, BraceGatarekMusiela approach.
Affine models.
 Exclusion(s): MAFS 5040

MATH
6150H 
Introduction to Cluster
Algebra 
300:3 
 "How do you describe a matrix where the
determinant of every submatrix is positive?"
The answer to this simple question has a
rich algebraic structure. The theory of
Cluster Algebra was introduced in 2000 to
study the above problem of "total
positivity". This new theory quickly becomes
one of the most important research areas in
mathematics, which finds applications in
representation theory, combinatorics,
hyperbolic geometry, algebraic geometry,
dynamical systems, quantum theory and
mathematical physics. This is an
introductory course for graduate and
advanced undergraduate students. After
treating carefully the basics, we will
survey some of the research topics in
cluster algebra, covering the required
backgrounds, if necessary.
 Prerequisite(s): MATH 3131 OR MATH 5111

MATH
6380O 
Deep Learning: Toward Deeper
Understanding 
300:3 
 This course is inspired by Stanford
Stats 385, Theories of Deep Learning, taught
by Prof. Dave Donoho, Dr. Hatef Monajemi and
Mr. Vardan Papyan. The aim of this course is
to be provide graduate students who are
interested in deep learning a variety of
mathematical and theoretical understanding
of neural networks which are currently
available in research, in addition to some
preliminary tutorials. Students with
mathematical maturity on approximation
theory, optimization, and statistics will be
helpful.

MATH
6380R 
Theoretical Neuroscience 
300:3 
 Theoretical neuroscience aims to
understand the principle mechanisms of brain
function using mathematical models. It
develops concepts and insights that has been
crucial for experimental design and data
interpretation. The technical challenges it
faces, such as analyzing nonlinear systems
with broadly interacted units, are also
relatable to other application scenarios of
mathematical modeling. We will introduce
classic models and results on the main
topics of the field, including neural coding
of sensory information, dynamics of neural
circuits, decision making, memory, and
learning. As a rapidly developing field with
many open questions, we will also discuss
the latest research in these topics.
Experience in programming using python,
Matlab, etc. is required. No prior knowledge
of neurobiology is formally required but is
encouraged, and we will introduce the
necessary background in the course. Students
without prerequisites should seek approval
from the instructor to take the course.
 Prerequisite(s): MATH 2023 AND MATH 2121
AND MATH 2352 AND MATH 2421

MATH
6450F 
Advanced Algorithms and Theory
of Machine Learning 
300:3 
 This is an advanced graduate course for
students who are already familiar with
machine learning. The goal is to explore
some of the current active research topics
in machine learning, through lectures, paper
readings and discussions. The topics covered
in the course include modern deep learning
models and algorithms, representation
learning, small sample learning, generative
models, and the mathematical theory of deep
learning. Students without prerequisites
should seek approval from the instructor to
take the course.
 Prerequisite(s): MATH 5470

MECH 5010 
Foundation of Solid Mechanics 
300:3 
 Continuum concept for deformation of
solids; analysis of stress and strain;
constitutive equations; solution of problems
relevant to materials processing, fracture
mechanics and structural analysis; energy
methods and numerical solutions. Background:
MECH 3020
 Exclusion(s): MESF 5010

MECH 5210 
Fluid Dynamics 
300:3 
 Tensor
notation, derivation of NavierStokes
equations, vorticity transport, viscous
flow, flow separation, boundary layer, flow
instability, turbulent boundary layer,
stratified flow, rotating flow. Background: MECH 2210
 Exclusion(s): AESF 5210, MESF 5210

MECH 5925 
LED Packaging
Technology for SolidState Lighting 
300:3 
 [Previous Course Code(s): MECH 6910A]
This course
introduces the packaging technology of
lightemitting diodes (LED) for the
applications of solidstate lighting (SSL).
Detailed topics include the principles of
luminance and chromaticity; designs and
structures of LED chips, packages, and
modules; material selection and packaging
processes; characterization of optical,
electrical, and thermal performance;
reliability tests and considerations.

MECH 5940 
Continuum Mechanics for Crystalline Solids 
300:3 
 [Previous Course Code(s): MECH 6910Q]
This is an interdisciplinary course covering
the fundamental laws of the mechanics and
physics of crystalline solids, the general
description of a periodic structure and
their specific characterization methods. The
course will start with tensor analysis, and
basic calculations of tensor fields. After
that, basic kinematics such as deformation
gradient, CauchyGreen tensor will be
introduced and defined, followed by the
mathematical description of symmetry of
crystals. Finally, the course will discuss
reciprocal lattices and the Xray
diffraction for structural solving.
Background: Solid mechanics related courses.
Basic symmetry knowledge. Linear algebra and
multivariable calculus
 Prerequisite(s): MATH
2011 AND MECH 3020

MECH 5950 
Introduction to Microsystems: Technology and
Devices 
300:3 
 Physics of Scaling; energy transduction,
sensing and actuation principles;
microfabrication technology and technology
fundamentals; film formation,
photolithography and etching; integrated
Microsystems and Microsystems packaging.
 Exclusion(s): ELEC 5010

MECH 5961 
Acoustics and
Aeroacoustics 
300:3 
 [Previous Course Code(s): MECH 6910L]
The aims of this
module are to acquaint students with the
knowledge of acoustics and aerodynamically
generated sound, its generation either
through turbulent flow or unsteady
aerodynamic forcesurface interaction, and
numerical methods for accurate numerical
prediction of aerodynamically generated
noise as well as its propagation and
farfield characteristics. The wide
applications of the subject are noise,
environmental impact of noise and transport
related noise.
 Prerequisite(s): MECH 3640

PHYS 5110 
Mathematical Methods in Physics 
400:4 
 Review of vector analysis; complex
variable theory, CauchyRieman conditions,
complex Taylor and Laurent series, Cauchy
integral formula and residue techniques,
conformal mapping; Fourier series; Fourier
and Laplace transforms; ordinary
differential equations, Bessel functions;
partial differential equations, wave and
diffusion equations, Laplace, Helmholtz and
Poisson's equations, transform techniques,
Green's functions; integral equations,
Fredholm equations, kernals; Rieman sheets,
method of steepest descent; tensors,
contravariant and covariant representations;
group theory, matrix representations.

PHYS
5210 
Electromagnetic Waves, Maxwell Equations, and
Relativity 
400:4 
 Wave solutions of the Maxwell equations,
electromagnetic wave propagation, scattering,
and diffraction; Fourier optics; dielectric
constant of metals and dielectrics and its
analytic properties; guided waves; radiation by
accelerating charges; special relativity and the
transformation of Maxwell equations; radiation
by moving charges.

PHYS
5260 
Advanced Quantum Mechanics 
400:4 
 Discussion of various applications of
quantum mechanics, such as collision theory,
theory of spectra of atoms and molecules,
theory of solids, second quantization,
emission of radiation, relativistic quantum
mechanics.

PHYS
6810F 
Modern AMO (Atomic Molecular
Optical) Physics with Atoms and Photons 
300:3 
 Introduction to modern atomic physics
with ultracold atoms and photons. The basic
theoretical tools for atom optics and
quantum optics will be introduced. Basic
topics include atomlight interactions,
cooling and trapping neutral and charged
atoms and molecules, degenerate quantum
gases, quantum manipulation and detection of
atomic states, ultracold collisions and
others which provide the foundations for
contemporary research in AMO physics. Recent
research works will be also covered
including manybody states in optical
lattices and synthetic topological states in
ultracold atoms.

PPOL
5130 
Microeconomics and Public Policy 
300:3 
 The course covers Microeconomic core
modules concerning consumer, firm, and
market with emphasis on public policy
application. A policy topic follows each
module enquires students to apply economic
model to analyze real world cases and
evaluate policies.

SOSC
5440 
Economics of Development 
300:3 
 This course covers the microeconomics of
development, focusing on empirical
applications. Topics include household
models, human resource issues (health and
education), intrahousehold economics, rural
institutions in land, labor, and credit
markets, technology adoption, riskcoping
strategies, and evaluation of development
projects. Lectures will concentrate on
theoretical models and rigorous application
of empirical methods, discussing important
journal articles. Background: ECON 5110 OR
ECON 5130, ECON 5280 OR ECON 5300 OR SOSC
5090

SOSC
5480 
Issues in Contemporary Chinese Politics 
300:3 
 Major political events and basic patterns of
political interaction in contemporary China
since 1949. Strategic choices of elites and
ordinary people. The structural conditions will
also be studied in terms of how they would
affect political actors' preference and
constrain their choices.
 Exclusion(s): MGCS
5021, MGCS 5022, SSMA 5060

SOSC
6030L 
The Belt and Road Initiative: Social Science Perspectives 
300:3 
 The Belt and Road Initiative (BRI)
political and economic mobilization is now a
key aspect of China's presence abroad. It
mainly involves thousands of investment and
infrastructure projects in developing
countries, but has many other aspects,
including some that are geostrategic. The
US has thus mounted an antiBRI
countermobilization that enlists allies,
such as India and Japan, to attack the BRI
as "Chinese neocolonialism," a "Chinese
debt trap," etc. The global controversy
about the BRI has begun to attract social
science and other academic analysis. We will
use social science theories and concepts, as
well as empirical studies, to analyze its
dimensions, significance and outcomes. This
largely studentled seminar will discuss
global and country case analyses of the BRI.
Student will also research and write a paper
on an aspect of the BRI of his or her
choice.

SOSC
6030M 
Public Ethnography 
300:3 
This course introduces students to the theory
and practice of participant observation, with a
particular focus on using ethnographic research
for studying sociopolitical change in Hong
Kong. We begin by reading carefully and
critically two examples of ethnography: an urban
ethnography in the Chicago School tradition and
a comparative ethnography in the extended case
method tradition. We will then discuss the
methodological and analytical strategies of
these two paradigms of ethnographic research.
Next, we examine the logic of formulating
research questions, sampling, casing,
comparison, intersubjectivity in interviews,
concept formation, theoretical construction,
ethical and political issues in doing
ethnographic fieldwork. For those continuing
with the second part of the course in the Spring
Semester, we will work together on ethnographic
projects related to public sociological issues
in Hong Kong. Along with extended immersion in
the field, we will learn to code, analyze,
conceptualize and theorize from and with the
data. The final product of the practicum is a
paper that students can submit to professional
journals for review and publication. 