UNDERGRADUATE COURSE DESCRIPTIONS Undergraduate Course Descriptions
DEPARTMENT OF MARKETING
MARK 212 Marketing Management [4-0-0:4]
lntroduction to marketing from the perspective of the decision-maker; controllable variables ( product, price, promotion and distribution ), uncontrollable variables (compe- tition, law, society, technology, and economy), consumer behaviour and marketing research.
MARK 222 Marketing Research [4-0-0:4]
Basic research tools and procedures used in marketing research, and strategic uses of marketing research information in managerial decision making. Prerequisite: MARK 21 2 MARK 241 Promotion and Advertisina Manaaement 14-0441 Major aspects of promotion, with emphasison adv;rtising: setting of advertisiig objec- tives, strategies, tactics, choice of media, budget determination and measuring advertis- ing effectiveness. Prerequisite: MARK 212 -
MARK 242 Consumer Behaviour [4-0-0:4]
Psychological concepts such as perception, learning and motivation, sociological con- cepts such as reference groups, family and culture and theories of purchase decision processes underlying consumer buying behaviour. Prerequisite: MARK 212
MARK 243 Global Marketing [4-0-0:4]
Understanding the formulation of internationallmultinational marketing strategy; factors influencing international trade, assessment of market potential, threats and opportunities in the international market environment, global marketing activities. Prerequisite: MARK 21 2
MARK 321 Strategic Marketing [4-0-0:4]
Developing a comprehensive and integrated framework for directing and managing the marketing functions of a company; methods to analyse marketing opportunities, assess competitive advantages and forecast market changes. Prerequisites: MARK 212, 222, and 242
MARK 329 Special Topics [2-4 credits]
Selected topics in current marketing thought and practices; topics vary from semester to semester. Prerequisite: MARK 21 2
DEPARTMENT OF MATHEMATICS
MATH 001 Beginning Calculus [3-1-0:4]
Calculus of one variable including limits, continuity, differentiation; mean-value theorem, L'Hospital rule; maxima and minima; implicit differentiation; elementary transcendental functions; introduction to integration with applications to physical sciences, economics and business. Exclusions: C or better in AL Pure Mathematics. MATH 005 Prereauisite:
C or better in HKCEE Additional Mathematics References:Boyce and DiPrima, Calculus, and
Edwards & Penney, Calculus and Analytic Geometry
MATH 002 Intermediate Calculus [3-1-0:4]
Further development of integration; inverse trigonometric and logarithmic functions;
techniques of integration; improper integrals; infinite series, Taylor's series; coordinate systems; parametric equations; introduction to differential equations. Exclusions: C or better in AL Pure Mathematics, MATH 006 Prerequisite: MATH 001
Reference: As for MATH 001
MATH 005 Algebra and Calculus I [3-1-0:4]
Review of aspects of algebra and analytic geometry essential to the study of calculus.
lntroduction of basic concepts of functions, limits, continuity and derivatives with applica- tions to management, social science and biomedical science. Applications to optimisation.
Exclusions: C or better in HKCEE Additional Mathematics: AS Mathematics and Statistics:
AL Pure Mathematics; MATH 001
Reference: Geoffrey C. Berresford, Calculus with Applications to the Management, Social, Behaviorial, and Biomedical Sciences
MATH 006 Algebra and Calculus II [3-1-0:4]
Continuation of
MATH
005: an introduction to elementary integration theory and related techniques, functions of several variables and partial derivatives with a~~lications.~ x c l u s ~ o n s ~ ~ or better in HKCEE Additional ~athematics; AS Mathematics and'statistics;
AL Pure Mathematics; MATH 001 ; MATH 002 Prerequisite: MATH 005 Reference: As for MATH 005
Undwgraduate Course Descriptions Underpraduate Course Desm'ptions
MATH 100 Introduction to Multivariable Calculus [2-1421 Differentiation in s e ~ e r a l variables, with applications in approximation, maximum and minimum and geometry. Integration in several variables, with application to physics and vector analysis. Exclusion: MATH 101 Prerequisite: AL Mathematics or MATH 002 Reference: Thomas 8 Finney, Calculus and Analytic Geometry
MATH 101 Multivariable Calculus [3-1441
Sequences, series, gradients, chain rule. Extrema, Lagrange multipliers; line integrals, multiple integrals. Green's theorem, Stroke's theorem, divergence theorem; change of variables. Exclusion: MATH 100 Prerequisite: AL Mathematics or MATH 002 Reference: Lang, Calculus of Several Variables
MATH 102 Introduction to Analysis [3-1-0.41
Real and complex number systems, basic topology, numerical sequences and series, continuity, differentiation, Riemann integral, sequences and series of functions, and other topics if time permits. Prerequisite: MATH 101
References:R. G. Bartle 8 D. R. Sherbert, lntroduction to Real Analysis, and K.G. Binmore, Mathematical Analysis: a Straightforward Approach
MATH 103 Ordinary Differential Equations [3-1441
Existence and uniqueness theorems of ordinary differential equations; theory of linear systems; stability theory; study of singularities; boundary value problems. Exclusions:
MATH 150, MATH 151 Prerequisites. MATH 101 and MATH 1 1 1
Reference: Hirsch & Smale, Differential Equations, Dynamical Systems and Linear Algebra
MATH 110 Concepts in Mathematics [2-0-0:2]
Expository lectures and discussion on basic mathematical concepts and ideas, historical developments in various areas of mathematics, and selected trends and advances in mathematical sciences. Graded either P or F. Prerequisite: MATH 002 or AL Mathematics
MATH 11 1 Linear Algebra [3-1441
Vector spaces, linear transformations, matrices, system of linear equations, bases, determinants, inner products, eigenvalues, bilinear forms, decompositions of matrices.
Exclusions: MATH 1 13, MATH 152 Prerequisite: AL Mathematics or MATH 002 References:Friedberg, Insel& Spence, Linear Algebra, and
S. Lang, Linear Algebra
MATH 11 3 Introduction to Linear Algebra [2-1-0:2]
Systems of linear equations; vector spaces; linear transofrmations; matrix representation of linear transformations; linear operators, eigenvalues and eigenvectors; similarity invariants and canonical forms. Exclusions: MATH 1 1 1, MATH 152 Prerequisite: AL Mathematics or MATH 002
Reference: A. C. Baker 8 H. L. Porteous, Linear Algebra and Differential Equations
MATH 132 Discrete Structures [3-1441
Logic: propositions, axiomatisation of propositional calculus, deduction theorem, com- pleteness and soundness. Combinatorics: permutations and combinations, generating functions. Set theory: basic operations on sets, relations, countable and uncountable sets. Prerequisite: MATH 002 or AL Mathematics
MATH 150 Introduction to Ordinary Differential Equations [2-1-0:2]
First order equations; second order equations; Laplace transform method; numerical solution of initial value problems; boundary-value problems. Exclusions: MATH 103,
MATH 151 Prerequisite: AL Mathematics or MATH 002
Reference: Boyce & DiPrima, Elementary Differential Equations and Boundary Value Problems
MATH 151 Differential Equations and Applications [3-1-0:4]
First and second order differential equations, higher order equations, Laplace transform method; series solutions; Sturm-Liouville equation; Bessel functions and Legendre polynomials; numerical solution of initial and boundary value problems. Exclusions:
MATH 103, MATH 150 Prerequisite: MATH 002 or AL Mathematics
Reference: Boyce & DiPrima, Elementary Differential Equations and Boundary Value Problems
MATH 152 Applied Linear Algebra and Differential Equations [3-1-0:4]
Linear dependence; norms; solution of linear systems; orthogonal projections; eigenvalues and eigenvectors; singular value decomposition; iterative solutions; systems of first order linear equations; partial differential equations and Fourier series. Exclusions: MATH 11 1, MATH 1-1 3 Prerequisite: MATH 151
References:Ben Noble & James Daniel, Applied Linear Algebra, and
Boyce & DiPrima, Elementary Differential Equations and Boundary Value Problems
MATH 204 Complex Analysis [3-1-0:4]
Complex differentiability; Cauchy-Riemann equations; contour integrals, Cauchy theory and consequences; power series representation; isolated singularities and Laurent series; residue theorem; conformal mappings. Additional topics as chosen by the instructor. Exclusions: MATH 251, MATH 351 Prerequisite: MATH 101
References: Bak & Newman, Complex Analysis, Lang, Complex Analysis, and Ahlfors, Complex Anlaysis
MATH 225 Mathematical Logic [3-1-0:4]
Propositional and predicate calcujus; consequence and deduction; truth and satisfaction;
Godel com~leteness theorem: Lowenheim-Skolem theorem; Boolean algebra; axiomatic
MATH 230 lntroduction to Numerical Methods [2-1-0:2]
.... --~- - -
-Computer arithmetric; matrix computation; interpolation and approximation; numerical integration; solution of nonlinear equations. Exclusion: MATH 231 Prerequisite: MATH 111-O~MATH 113orMATH 152
Reference: K. E. Atkinson, An lntroduction to Numerical Analysis
MATH 231 Numerical Analysis [3-1-0:4]
Basic numerical analvsis, including stability of computation, linear systems, eigenvalues and eigenvectors, nonlinear equations, interpolation and approximation, numerical integralion and solution of ordinary differential equations, optimisation. Fortran may also be tauaht. Exclusion: MATH 230 Prerequisite: MATH 11 1 or MATH 152
- -
~eferGnce: Kahaner, Moler & Nash, ~ u h e r i c a l Methods and Software
MATH 241 Probability [3-1-0:4]
Sample spaces; conditional probability; random variables; independence; discrete and continuous distributions; expectation; correlation; moment generating function; law of large numbers and limit theorems. Corequisite: MATH 101
Reference: G. R. Grimmett & D. R. Stirzaker, Probability and Random Processes
Undergraduate Course Descriptions
MATH 243 Statistical Inference [3-1-0:4]
Distributions of functions of random variables; sampling theory; order statistics; limiting distributions; point estimation; confidence intervals; hypothesis testing; non-parametric methods. Prerequisite: MATH 241
Reference: John Rice, Mathematical Statistics & Data Analysis
MATH 244 Applied Statistics [3-1-0:4]
A systematic introduction to statistical inference, including the necessary probabilistic background; point and interval estimation; hypothesis testing. Prerequisite: MATH 002 or AL Pure Mathematics
Reference: Hines & Montgomery, Introduction to Probability and Statistics in Engineer- ing and Management Science
MATH 251 Introduction to Complex Variables [2-1421
Analytic functions; Cauchy-Riemann relations; Cauchy's theorem; Taylor and Laurent series; residues and applications; argument and maximum modulus principles; conformal mappings; Schwarz-Christoffei transoformations; integral representation of harmonic functions; two-dimensional flows. Exclusions MATH 204, MATH 351 Prerequisite:
MATH 100 or MATH 150 or MATH 151
Reference: E. B. Saff & A. D. Snider, Fundamentals of Complex Analysis
MATH 252 Introduction to Partial Dierential Equations [2-1-0.21 Derivations of heat, potential and wave equations; initial and boundary value problems;
seoaration of variables: Fourier series: Dirichlet and Neumann problems; Laplace's
;&tion; harmonic functions. ~ x c l u s i o ~ : MATH 352 prerequisite: MATH 150 O ~ M A T H 151
Reference: W. Strauss, Partial Differential Equations: An lntroduction
MATH 281 Introduction to Operations Research [3-1-0.41 Linear programming; simplex method; duality theory; network analysis; dynamic pro- gramming; game theory; integer programming; stochastic processes; queueing theory;
inventory theory; forecasting; decision analysis. Prerequisite: MATH 241 or MATH 244 Reference: Hiller & Lieberman, lntroduction to Operations Research
MATH 300 Special Topics [I -4 credits]
Focuses on a coherent collection of topics selected from a particular branch of mathemat- ics. A student may repeat the course for credit if the topics studied are different each time.
MATH 301 Real Analysis [3-1-0:4]
[Previous Course Code: MA TH201] Stone-Weierstrass theorem; some special functions;
metric spaces, uniform convergence; functions of several variables; Fourier series;
additional topics chosen by the instructor. Prerequisite:MATH 101, in addition, MATH 102 preferred.
Reference: Rudin, Principles of Mathematical Analysis
MATH 302 Integration Theory [3-1441
[Previous Course Coder MATH 2021 Lebesgue measure. Lebesgue integral. Differen- tiation and Integration. lntroduction to general abstract measure theory and integration.
Prerequisite: MATH 301
Reference: H.L. Royden, Real Analysis
MATH 305 Introduction t o Functional Analysis [3-1441 Normed space; inner product space; topological vector spaces; closed graph theorem;
Hahn-Banach theorem; principle of uniform boundedness; Lp space; elementary Banach
Undergraduate Course Descriptions
space theory; contraction principle and its applications to differential and integral equa- tions and numerical analysis. Exc1usion:MATH 301 in 1991 -92 Prerequisites: MATH 301 and MATH 302
Reference: G.F. Simmons, lntroduction to Topology and Modern Analysis
MATH 306 Partial Differential Equations [3-1-0:4]
Classification of partial differential equations; first order equations; second order linear equations; Green's functions; maximum principles; characteristics; Riemann's method;
well-posed problems. Exclusion: MATH 302 in 1991 -92 Prerequisites: MATH 101 and MATH 11 1
Reference: Copson, Partial Differential Equations
MATH 307 Dynamical Systems [3-1-0:4]
[Previous Course Code: MATH 3031 Modern development of dynamical systems;
Hamiltonian systems; dissipative systems; bifurcations; strange attractors; chaotic sys- tems;fractals; Hausdorffdimension; Lyapunovexponents. Prerequisites: MATH 151 and MATH 301
MATH 308 Mathematical Theory of Fluid Dynamics [3-1-0:4]
Lagrangian and Eulerian methods of description; Euler equations, Navier-Stokes equa- tions; potential flow; boundary layer theory; compressible flow, shock and expansion waves; the Riemann problem. Exclusions: MECH 322, ClVL 151, ClVL 252 Prerequi- sites: MATH 204 or MATH 351 ; and MATH 306 or MATH 352
MATH 31 1 Abstract Algebra I [3-1-0:4]
[Previous Course Code: MATH 21
11
An introduction to the principles and concepts of modern abstract algebra. Topics include groups, rings, modules, fields and Galois theory.Prerequisite: MATH 11 1
Reference: Herstein, Topics in Algebra
MATH 312 Abstract Algebra II [3-1-0:4]
[Previous Course Code: MATH 2121 General properties of groups and mappings;
Cayley's theorem; representation of groups, Maschke's theorem; Schur's lemma; repre- sentation of Abelian groups; the character of a group representation; group algebragnd the regular character; orthoaonalitv relations. ~hvsical .
-
aD~lications. ..
prerequisite: MATH 31 1
-
References:Jacobson, Basic Algebra I, and
Jones, Groups, Representations and Physics
MATH 315 Number Theory and Applications 13-1 -0:4]
Prime numbers; unique factorisation; modular arithmetic; quadratic number fields; finite fields; p-adic numbers; coding theory; computational complexity. Exclusion: MATH 312 in 1991 -92 Prerequisite: MATH 31 1
References: Ireland & Rosen, A Classical lntroduction to Modern Number Theory, and Niven, Euckerman, Montgomery, An lntroduction to the Theory of Numbers
MATH 321 Differential Geometry [3-1-0:4]
[Previous Course Code: MATH 2211 Differential forms, curvature and torsion of curves;
Frenet-Serret frames; global properties of closed curves; Gaussian curvature and mean curvature; geodesics; minimal surfaces; Gauss-Bonnet theorem. Prerequisite: MATH 101
Reference: Do Carmo, Differential Geometry of Curves and Surfaces
Under~raduate Course DesmmDtions Under~raduate Course DescriDtions
MATH 323 T o p ~ l ~ g y [3-1-0:4]
[Previous Course Code: MATH2231 Topology of Euclidean spaces; winding number; knot theory; fundamental group and covering spaces; Euler characteristic; simplicial com- plexes; classification of twodimensional manifolds; vector fields; Poincare-Hopf theorem.
Prerequisites: MATH 101 and MATH 1 1 1
References: Blackett, Elementary Topology: A Combinatorial and Algebraic Approach, and
Armstrong, Basic Topology
MATH 325 Algebraic Topology [3-1441
[Previous Course Code: MATH 3211 Homotopy theory; covering spaces and vibrations;
simplicial and CW complexes; manifolds; homology theories; universal coefficients and
~unneth formulas; ~urewicz theorem; applications to fixed point theoly and other topics.
Exclusion: MATH 321 in 1991 -92 Prerequisite: MATH 323
MATH 331 Numerical Solutions of Partial Differential Equations [3-1441 lntroduction to finite difference and finite element methods for the solution of elliptic, parabolic and hyperbolic partial differential equations; includes the use of computer software for the solution of differential equations.
Prerequisites: MATH 151 and MATH 231
Reference: Sewell. The NumericalSolution of Ordinaryand Partial DifferentialEquations MATH 333 Introduction to Scientific Computation I [3-1441 Case studies drawn from different areas of science to illustrate the use of comDuters as a p~oblem-solving tool. Each integrates physical principles and mathematical models, as well as numerical techniques and computer implementations, into acoherent perspective.
Prerequisites: MATH 151 and MATH 231
MATH 334 Introduction t o Scientific Computation II [3-1-0:4]
Continuation of MATH 333, with case studies involving the numerical solution of partial differential equations. Prerequisite: MATH 333
MATH 335 Applications of Mathematical Software [3-1441 Scientific computation analytically and numerically using standard mathematical and symbolic software packages. Topics include: matrix computation, definite and indefinite integration, perturbation expansions, solutions of ordinary and partial differential equa- tions. Prerequisite: MATH 231
MATH 341 Stochastic Modelling [3-1-0:4]
Discrete time Markov chains and the Poisson processes. Additional topics include birth and death process, elementary renewal process and continuous-time Markov chains.
Prerequisite: MATH 241
Reference: H. M. Taylor & S. Karlin, An introduction to Stochastic Modelling
MATH 342 Regression Analysis [3-1 4 4 1
Estimation and hypothesis testing in linear regression, residual analysis, multicollinearity, indicator variables, variable selection, nonlinear regression. Exclusion ISMT 552 Prerequisite: MATH 243
Reference: N. R. Draper 8 H. Smith, Applied Regression Analyss
MATH 343 Data Analysis [3-la41
Computer-oriented statistical analysis including generalised linear models, classification, principal component analysis, survival analysis, binary data. Real data sets presented for analysis using statistical packages such as GLIM, SAS, Minitab.
MATH 346 Sampling [3-1-0:4]
Basic and standard sampling design and estimation methods. Particular attention given to variance estimation in sampling procedures. Topics include: simple random sampling, unequal probability sampling, stratified sampling, ratio and subpopulation and multistage designs. Prerequisite: MATH 243
Reference: W. G. Cochran, SamplingTechniques
MATH 347 Multivariate Analysis [3-1-0:4]
Inferences of means and covariance matrices, canonical correlation, discriminant analy- sis, multivariate ANOVA, principal components analysis, factor analysis. Exclusion: ISMT 553 Prerequisites: MATH 11 1 and MATH 243
Reference: T.
W.
Anderson, An lntroduction to Multivariate Statistical Analysis MATH 351 Functions of a Complex Variable and Applications [3-1-0:4]\Previous Course Code: MATH251 1 Differentiation and intearation in the comDlex lane:
'Cauchy9s integral formula; Taylor series; Laurent series; aialytic continuation; contour integration; conformal mapping; special functions; integral transforms; asymptotic meth- ods. Exclusions: MATH 204, MATH 251 Prerequisite: MATH 151
References:Fisher, Complex Variables, and
Churchill & Brown, Complex Variables and Applications
MATH 352 Applied Partial Differential Equations [3-1-0:4]
[Previous Course Code: MATH 2521 Methods to solve the Laplace equation, the wave equation and the diffusion equation; separation of variables; integral transforms; Green's function; characteristics; variational method. Exclusion: MATH 252 Prerequisite: MATH 351
Reference: Sneddon, Elements of Partial Differential Equations
MATH 395 Scientific Computation Project I [O-0-9:3]
A scientific computation project under the supervision of a faculty member from any department. Projects may be in fluid mechanics, structural dynamics, chemistry, statistics, etc. May be graded PP.
MATH 396 Scientific Computation Project II Continuation of MATH 395. Prerequisite: MATH 395
MATH 398 Independent Study Project [2-3 credits]
Under the guidance of a faculty member. Scope may include (i) identifying a non- Reference problem and proposing methods of solution, and (ii) acquiring a specific research skill. May be repeated for credit, but the total credit may not exceed six.
MATH 399 Undergraduate Thesis [0-0-9:3]
Work in any area of mathematics under the guidance of a faculty member. The thesis either surveys a research topic or describes a small research project completed by the student.
DEPARTMENT OF MECHANICAL ENGINEERING
MECH 001 Air and Noise Pollution Problems in Hong Kong [3-0-0:3]
For non-Engineering students. Various methods of pollution identification, assessment, measurement, and control available in the fields of air and noise pollution. General discussion on environmental air/noise impact assessment in Hong Kong.
Under~raduate Course Desrribtions Uizderg~aduate Course Descriptions
MECH 101 Mechanics of Solids I [3-l-0:3]
Analysis of structural members subject to axial load, torsion and bending; singularity functions, shear force and bending moment diagrams; analysis of stress and strain, statically indeterminate trusses; buckling and stability; energy methods. Exc1usion:CIVL 112
MECH 102 Statics and Dynamics [3-1-0:3]
Study of statics, kinematics and dynamics of particles and rigid bodies in two-and three- dimensional spaces. Applications of Newton's Laws and energy methods to engineering problems. Exclusion: ClVL 113
MECH 121 Fluid Mechanics [3-1-0:3]
Fundamental concepts; hydrostatics; integral and differential equations of fluid flows;
conservation of mass, momentum and energy; dimensional analysis; pipe flow; channel flow and boundary layers. Exc1usion:CIVL 151 Prerequisites: MATH 10011 01 and MATH 150/151
MECH 131 Thermodynamics [3-1431
Fundamental concepts; pure substance; work and heat; first law; control volume; second law; ideal and real gases; entropy. Prerequisite: MATH 101
MECH 141 Engineering Materials I [3-1-1:3]
Atomic bonding of materials; crystal structure and imperfection in solids; phase equilibria and phase transformation; heat treatment of metals; corrosion; metallic materials and their processing; selection of materials. Exclusion: PHYS 250
MECH 152 Engineering Design I [I-1 -2:2]
[Previous Course Code: MECH 2511 Design methodology; design for manufacturing;
design for assembly; design of mechanisms; case studies and project.
MECH 182 Experimental Methods [I-2-45]
Preliminary laboratory course to introduce laboratory procedures, experimental methods, measuring techniques, instrumentation, statistical analysis and experimental error.
MECH 192 Engineering Computation [2-1-0:2]
Reduction of physical and engineering systems to idealised computer models, basic numerical analysis and system simulation using C andlor FORTRAN. Exclusions: COMP 101, COMP 102, COMP 106
MECH 202 Mechanics of Solids II 13-1 431
Beam element analysis of structural frames; use of virtual work and energy theorems.
Linear elastic analysis of thin flat plates including instability. Thick cylinders; rotating discs; shrink fits; thermal and residual stresses. Prerequisite: MECH 101
MECH 203 Mechanisms and Dynamics of Machinery 13-1431 Kinematics and kinetics of rigid bodies in three-dimensional spaces. Linkages and mechanisms, cams, gear trains, balance of machinery, kinematic synthesis, and spatial mechanisms and robotics. Prerequisite: MECH 102
MECH 231 Heat and Mass Transfer [3-I-(J:3]
Steady-state onedimensional conduction, steady-state multiple-dimensional conduc- tion, unsteady conduction, radiative exchange, mass transfer, introduction to convection, computational methods. Prerequisites: MECH 121 and MECH 131
MECH 242 Engineering Materials II [3-1-0:3]
Mechanical tests, fracture mechanics and fatigue, dislocation theory, composite materi- als, polymeric materials, rubber toughened plastics, ceramics and glasses, refractories, construction materials. Exclusion: MECH 241 in 1991 -92 Prerequisites: MECH 101 and MECH 141
MECH 252 Engineering Design II [3-0-251
Examination and practice in the application of mechanical design elements including bearings, shafts, cams, followers, linkages, power transmission elements, motors and prime movers and their control elements. Prerequisite: MECH 152
MECH 261 Control Principles [3-1-0:3]
Introduction to system equations, block diagrams, signal flow graphs, state-space systems, transient response using convolution integral, root locus and frequency re- sponse methods. Design by root locus, frequency response and state space method.
Nyquist stability test. Prerequisite: MECH 102
MECH 271 Manufacturing Processes and Systems 12-0-351 Manufacturing processes for metals, polymers, ceramics and composite materials;
manufacturing systems, automation technology, design and manufacthring integration, comDuter a~~lications: ~ r i n c i ~ l e s and techniaues for aualitv assurance. Prereauisite:
MECH 283 Laboratory I [I -0-6:3]
Basic laboratory course to demonstrate physical principles, and to provide training in experimental techniques and technical reporting. Procedures are prescribed, but only guidelines for analysis provided. Prerequisite: MECH 182
MECH 284 Laboratory II [I -0-6:3]
Advanced laboratory course to demonstrate physical principles, and to enhance labora- tory procedures and technical reporting skills. Objectives are prescribed, but original procedures and analyses are required. Prerequisite: MECH 182
MECH 290 Engineering Internship [3 credits]
Participation in approximately three months of practical work in manufacturing, engineer-
Participation in approximately three months of practical work in manufacturing, engineer-