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Spring 2003
MATH 100 Introduction to Contemporary Mathematics 3 credits
(MS)
Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3562] 0101 MWF.......10:00am-10:50am (MP 104) CURIEL, I
[3563] 0201 TuTh.......4:00pm- 5:15pm (MP 101) STEWART, D
MATH 106 Algebra and Elementary Functions 3 credits
Grade Method: REG/P-F/AUD
[3564] 0101 TuTh......11:30am-12:45pm (MP 010) GAVREA, B
[3565] 0201 TuTh.......8:30am- 9:45am (MP 010) SMITH, T
[3567] 0401 MWF.......10:00am-10:50am (ACIV145) BARADWAJ, R
MATH 115 Finite Mathematics (MS) 3 credits
Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3569] 0101 MWF........2:00pm- 2:50pm (MP 103) TIGHE, B
[3570] 0201 TuTh.......7:00pm- 8:15pm (MP 101) MUSCEDERE, M
MATH 132 Mathematics for Elementary School Teachers 4 credits
II (MS)
Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3571] 0101 MWF........8:45am- 9:50am (ACIV145) CHAILLOU, A
MATH 150 Precalculus Mathematics (MS) 4 credits
Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3572] 0101 MWF........8:45am- 9:50am (LH3 ...) BARADWAJ, R
M.........11:00am-11:50am (SS 114) DIS
[3573] 0102 MWF........8:45am- 9:50am (LH3 ...) BARADWAJ, R
F.........11:00am-11:50am (SS 114) DIS
[3574] 0103 MWF........8:45am- 9:50am (LH3 ...) BARADWAJ, R
M.........10:00am-10:50am (SS 114) DIS
[3577] 0201 MW.........6:30pm- 8:20pm (LH3 ...) STARK, B
M..........4:30pm- 5:20pm (SS 114) DIS
[3578] 0202 MW.........6:30pm- 8:20pm (LH3 ...) STARK, B
W..........4:30pm- 5:20pm (SS 114) DIS
[3579] 0203 MW.........6:30pm- 8:20pm (LH3 ...) STARK, B
M..........5:30pm- 6:20pm (SS 114) DIS
[3582] 0301 MWF.......12:00pm- 1:05pm (LH3 ...) BARADWAJ, R
M..........2:00pm- 2:50pm (SS 114) DIS
[3583] 0302 MWF.......12:00pm- 1:05pm (LH3 ...) BARADWAJ, R
W..........2:00pm- 2:50pm (SS 114) DIS
[3584] 0303 MWF.......12:00pm- 1:05pm (LH3 ...) BARADWAJ, R
F..........2:00pm- 2:50pm (SS 114) DIS
MATH 151 Calculus and Analytic Geometry I (MS) 4 credits
Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3587] 0101 MWF.......10:00am-11:05am (MP 106) TIGHE, B
M.........12:00pm-12:50pm (SS 114) DIS
[3588] 0102 MWF.......10:00am-11:05am (MP 106) TIGHE, B
W.........12:00pm-12:50pm (SS 114) DIS
[3589] 0201 MWF.......11:15am-12:20pm (MP 106) TIGHE, B
M..........9:00am- 9:50am (SS 114) DIS
[3590] 0202 MWF.......11:15am-12:20pm (MP 106) TIGHE, B
W..........9:00am- 9:50am (SS 114) DIS
[3591] 0301 TuTh.......4:30pm- 6:20pm (SS 105) SONG, Y
Tu.........6:30pm- 7:20pm (SS 114) DIS
[3592] 0302 TuTh.......4:30pm- 6:20pm (SS 105) SONG, Y
Th.........6:30pm- 7:20pm (SS 114) DIS
[3593] 0401 MWF........3:00pm- 4:05pm (SS 103) SLOWIKOWSKI, W
M..........4:30pm- 5:20pm (SS 113) DIS
[3594] 0402 MWF........3:00pm- 4:05pm (SS 103) SLOWIKOWSKI, W
W..........4:30pm- 5:20pm (SS 113) DIS
[3595] 0501 MW.........4:30pm- 6:20pm (SS 103) SLOWIKOWSKI, W
M..........6:30pm- 7:20pm (SS 113) DIS
[3596] 0502 MW.........4:30pm- 6:20pm (SS 103) SLOWIKOWSKI, W
W..........6:30pm- 7:20pm (SS 113) DIS
[3597] 0601 MWF........8:45am- 9:50am (MP 103) SONG, Y
M.........10:00am-10:50am (SS 113) DIS
[3598] 0602 MWF........8:45am- 9:50am (MP 103) SONG, Y
W.........10:00am-10:50am (SS 113) DIS
[3599] 0701 TuTh.......6:30pm- 8:20pm (SS 003) KOROSTYSHEVSKI
Tu.........5:30pm- 6:20pm (SS 003) DIS
[3600] 0702 TuTh.......6:30pm- 8:20pm (SS 003) KOROSTYSHEVSKI
Th.........5:30pm- 6:20pm (SS 003) DIS
[3601] 0801 MW.........6:30pm- 8:20pm (SS 105) STAFF
M..........5:30pm- 6:20pm (SS 111) DIS
[3602] 0802 MW.........6:30pm- 8:20pm (SS 105) STAFF
W..........5:30pm- 6:20pm (SS 111) DIS
MATH 152 Calculus and Analytic Geometry II (MS) 4 credits
Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3603] 0101 MWF........8:45am- 9:50am (MP 101) RATHINAM, M
M.........10:00am-10:50am (SS 112) DIS
[3604] 0102 MWF........8:45am- 9:50am (MP 101) RATHINAM, M
F.........10:00am-10:50am (SS 112) DIS
[3605] 0201 MWF........3:00pm- 4:05pm (MP 103) LYNN, Y
M..........4:30pm- 5:20pm (SS 112) DIS
[3606] 0202 MWF........3:00pm- 4:05pm (MP 103) LYNN, Y
W..........4:30pm- 5:20pm (SS 112) DIS
[3607] 0301 TuTh.......4:30pm- 6:20pm (SS 101) KAPOOR, J
Tu.........6:30pm- 7:20pm (SS 110) DIS
[3608] 0302 TuTh.......4:30pm- 6:20pm (SS 101) KAPOOR, J
Th.........6:30pm- 7:20pm (SS 110) DIS
[3609] 0401 TuTh.......6:30pm- 8:20pm (SS 101) KAPOOR, J
Tu.........5:30pm- 6:20pm (SS 110) DIS
[3610] 0402 TuTh.......6:30pm- 8:20pm (SS 101) KAPOOR, J
Th.........5:30pm- 6:20pm (SS 110) DIS
MATH 152H Calculus and Analytic Geometry II - Honors 4 credits
(MS)
(PermReq) Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3611] 0101 MWF........8:45am- 9:50am (MP 104) PITTENGER, A
W.........12:00pm-12:50pm (SS 113) DIS
MATH 152M Calculus and Analytic Geometry II (MS) 4 credits
(PermReq) Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3612] 0101 MWF........8:45am- 9:50am (MP 104) PITTENGER, A
M.........12:00pm-12:50pm (SS 113) DIS
[3613] 0102 MWF........8:45am- 9:50am (MP 104) PITTENGER, A
F.........12:00pm-12:50pm (SS 113) DIS
MATH 155 Elementary Calculus (MS) 3 credits
Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3614] 0101 MW.........7:00pm- 8:15pm (SS 101) WILSON, M
MATH 221 Introduction to Linear Algebra (MS) 3 credits
Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M. 8000
SECTION COURSES ARE HELD OFF-CAMPUS AT
SHADY GROVE. CONTACT INSTRUCTOR FOR
PERMISSION.
[3615] 0101 MWF.......11:00am-11:50am (MP 104) SONG, Y
[3616] 0201 MWF.......12:00pm-12:50pm (SS 103) LO, J
[3617] 0301 MWF........2:00pm- 2:50pm (MP 104) SONG, Y
[3618] 0401 TuTh.......5:30pm- 6:45pm (MP 101) NAYAKKANKUPPAM
[3619] 0501 MW.........5:30pm- 6:45pm (MP 103) WILSON, M
[3620] 0601 TuTh.......7:00pm- 8:15pm (ACIV151) ADAMS, T
[3621] 0701 MW.........7:00pm- 8:15pm (MP 103) ARLINGHAUS, F
MATH 221H Introduction to Linear Algebra - Honors 3 credits
(MS)
(PermReq) Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M. Permission
of the Honors College required.
[3624] 0101 MWF.......12:00pm-12:50pm (MP 401) POTRA, F
MATH 225 Introduction to Differential Equations 3 credits
(MS)
Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3625] 0101 MWF.......12:00pm-12:50pm (MP 103) GULER, O
[3627] 0301 MWF........9:00am- 9:50am (ACIV151) LYNN, Y
MATH 251 Multivariable Calculus (MS) 4 credits
Grade Method: REG/P-F/AUD
GER: meets M/S. GDR: meets M.
[3628] 0101 MW.........6:30pm- 8:20pm (MP 104) HORTA, A
[3629] 0201 MWF........8:45am- 9:50am (SS 409) HOFFMAN, K
[3630] 0301 TuTh.......6:30pm- 8:20pm (MP 103) BAKKE, V
MATH 301 Introduction to Mathematical Analysis I 4 credits
Grade Method: REG/P-F/AUD
[3631] 0101 MWF.......12:00pm- 1:05pm (MP 010) GOWDA, M
MATH 302 Introduction to Mathematical Analysis II 3 credits
Grade Method: REG/P-F/AUD
[3633] 0101 MWF.......12:00pm-12:50pm (MP 012) STAFF
MATH 306 Geometry 3 credits
Grade Method: REG/P-F/AUD
[3634] 0101 MW.........5:30pm- 6:45pm (MP 010) TOLL, C
MATH 410 Introduction to Complex Analysis 3 credits
Grade Method: REG/P-F/AUD
[3635] 0101 MWF.......11:00am-11:50am (MP 010) PITTENGER, A
MATH 411 Linear Algebra 3 credits
Grade Method: REG/P-F/AUD
[3636] 0101 MW.........7:00pm- 8:15pm (MP 010) DILLON, J
MATH 413 Number Theory 3 credits
Grade Method: REG/P-F/AUD
[3637] 0101 TuTh.......7:00pm- 8:15pm (MP 010) STAFF
MATH 432 History of Mathematics 3 credits
Grade Method: REG/P-F/AUD
[3638] 0101 TuTh.......2:30pm- 3:45pm (FH 224) KAPLAN, G
MATH 441 Introduction to Numerical Analysis 3 credits
Grade Method: REG/P-F/AUD
[3639] 0101 TuTh.......5:30pm- 6:45pm (MP 401) GOBBERT, M
MATH 452 Introduction to Stochastic Processes 3 credits
Grade Method: REG/P-F/AUD
[3640] 0101 MWF........2:00pm- 2:50pm (MP 106) RATHINAM, M
MATH 465 Introduction to Artificial Neural Networks 3 credits
Grade Method: REG/P-F/AUD This course
gives a systematic introduction to
artifical neural networks, which represent
a rather new and fundamentally different
approach to computing and information
processing. Providing parsimonious
universal approximators for static and
dynamic mappings, synthetic methodologies
for building models and/or soluations,
abilities to learn from and adapt to
environments, and massively parallel
computation paradigms, the artificial
neural networks have formed a powerful
approach to solving nonlinear or complex
problems in a broad spectrum of areas
including signal/speech/image processing,
system control, pattern recognition,
robotics, financial management, digital
communciation, etc. This course plans to
cover mathematical and statistical
preliminaries, single-and multi-layer
perceptions, recurrent neural nets, global
minimization for training, adaptive and
robust and robust neural nets, neural
filtering, identification and control,
support, support vector machines,
self-organizing maps, etc. Prerequisite:
MATH 221, MATH 301, MATH 251, STAT 451, or
permission of instructor.
[3641] 0101 MWF.......10:00am-10:50am (SS 210) LO, J
MATH 470 Introduction to Mathematical Foundations 2 credits
of Actuarial Science
Grade Method: REG/P-F/AUD
[3642] 0101 MW.........4:30pm- 5:20pm (TBA) LYNN, Y
MATH 479 Mathematical Problem Solving Seminar 1 credit
(PermReq) Grade Method: REG/P-F/AUD
[3643] 0101 Tu........11:30am-12:45pm (MP 401) ARMSTRONG, T
MATH 481 Mathematical Modeling 3 credits
Grade Method: REG/P-F/AUD
[3644] 0101 TuTh.......1:00pm- 2:15pm (FH 224) SEIDMAN, T
MATH 482 Nonlinear Optimization 3 credits
Grade Method: REG/P-F/AUD
[3645] 0101 MW.........3:30pm- 4:45pm (MP 102) POTRA, F
MATH 485 Introduction to the Calculus of Variations 3 credits
Grade Method: REG/P-F/AUD
[3646] 0101 MWF.......10:00am-10:50am (MP 102) HOFFMAN, K
MATH 490A Special Topics in Mathematics Introduction 3 credits
to Math Logic
Grade Method: REG/P-F/AUD This course
begins with the development of first order
prepositional logic and predicate logic
and an elementary introduction model
theory and to deductive systems. The
completeness theorem, compactness theorem
and Lowenheim-Skolem theorem as treated in
detail. Goedel's incompleteness theorem
for models on N is discussed in detail.
Goedel's proof of consistency of both the
Axiom of Choice and the Continuum
hypothesis with other axioms of set theory
will be given. Cohen's proof of
independence of the Continuum hypothesis
will be briefly discussed. Recursivenes
and recursive enumerability will be
treated. Computability and the halting
problem for Turing machines may be
discussed if time permits. Prerequisite:
MATH 301 or CMSC 441 or PHIL 346
recommended, or permission of instructor.
CMSC 451 may be regarded as a companion
course.
[3647] 0101 TuTh.......4:00pm- 5:15pm (MP 401) ARMSTRONG, T
MATH 490B Special Topics in Mathematics Introduction 3 credits
to Game Theory
Grade Method: REG/P-F/AUD Game theory has
been developed to model situations of
conflict and cooperation among rational
participants. Non-cooperative games theory
deals with situation of conflict and
cooperative game theory deals with
situation of cooperation. In this course,
we will consider both non-cooperative as
well as cooperative game theory, In
non-cooperative game theory, we will study
how to model a situation as a
non-cooperative game, zero-sum games, the
minimax theorem, non-zero games, Nash
equilibria, refinements of Nash
equilibria. In cooperative games theory,
we will study how to model a situation as
a cooperative game, and solution concepts
such as stable sets, the core, the
Shapey-value, the bargaining set. We will
consider special classes of cooperative
games for which these solution concepts
have nice characterization. Prerequisite:
Math 301, MATH 381, or permission of
instructor.
[3648] 0101 MWF........3:00pm- 3:50pm (FH 223) CURIEL, I
MATH 490C Special Topics in Mathematics Introduction 3 credits
to Computational Informational Retrieval
Grade Method: REG/P-F/AUD This course is
designed as an introduction to automatic
texts processing and information
retrieval. Topics include a vector space
model, linear algebra, clustering, and
optimization techniques. Students are
expected to participate in class projects
involving the creation, management and
processing of large document collections.
This project will require programming in
languages such as Perl/CGI, C/C++ or Java.
Prerequisites: Math 221, Math 251, CMSC
202, or permission of instructor.
[3649] 0101 TuTh.......5:30pm- 6:45pm (MP 102) KOGAN, J
MATH 490D Special Topics in Mathematics Numerical 3 credits
Solutions of Partial Differential
Equations
Grade Method: REG/P-F/AUD Many important
physical processes are modeled by partial
differential equations which cannot be
solved analytically. Solutions to these
equations must be approximated using
numerical techniques. In this course, we
will focus on algorithm development and
analysis of some of the most popular
computational techniques for solving the
heat, wave, and potential equations.
Finite difference and finite elements
methods will be emphasized with finite
volume and spectral methods included if
time permits. The course will cover both
theory (convergence analysis of the
methods) and practical implementation
details. All computer assignment will be
written in MATLAB. This course is
appropriate for senior level
undergraduates and beginning graduate
students in mathematics, engineering, and
scientific disciplines where the solution
of differential equations is integral to
modeling real-world phenomena.
Prerequisite: MATH 251, MATH 341, MATH 404
and knowledge of programming in general
and MATLAB in particular, or permission of
instructor.
[3650] 0101 TuTh......10:00am-11:15am (MP 008) MINKOFF, S
MATH 497 Senior Thesis 3 credits
Grade Method: REG/P-F/AUD
[7552] 0101 Time and room to be arranged ROSTAMIAN, R
MATH 499 Independent Study in Mathematics 1-4 credits
(PermReq) Grade Method: REG/P-F/AUD Individual
Instruction course: contact department or
instructor to obtain section number.
NOTE:GDR requires 2 credits or more.
NOTE:GDR requires 2 credits or more.
MATH 602 Complex Analysis 3 credits
Grade Method: REG/AUD
[3679] 0101 MW.........3:30pm- 4:45pm (MP 401) GULER, O
MATH 611 Applied Analysis 3 credits
Grade Method: REG/AUD
[3680] 0101 MW.........2:00pm- 3:15pm (MP 102) GOWDA, M
MATH 612 Ordinary Differential Equations 3 credits
Grade Method: REG/AUD
[3681] 0101 MW.........7:00pm- 8:15pm (MP 102) ROSTAMIAN, R
MATH 620 Numerical Analysis I 3 credits
Grade Method: REG/AUD
[3682] 0101 TuTh.......5:30pm- 6:45pm (MP 401) GOBBERT, M
MATH 650 Foundations of Optimization 3 credits
Grade Method: REG/AUD
[3683] 0101 TuTh.......4:00pm- 5:15pm (MP 103) NAYAKKANKUPPAM
MATH 653 Network and Combinational Optimization 3 credits
Grade Method: REG/AUD
[3684] 0101 MWF.......10:00am-10:50am (MP 102) HOFFMAN, K
MATH 690 Mathematics Seminars No credit
Grade Method: P-F
[3685] 0101 W.........11:00am-11:50am (SS 414) ROSTAMIAN, R
MATH 690D Mathematics Seminars No credit
Grade Method: P-F Seminar topic is
Differential Equations.
[3686] 0101 M.........11:00am-11:50am (MP 401) GOBBERT, M
MATH 699 Independent Study In Mathematics 1-6 credits
(PermReq) Grade Method: REG/AUD Individual
Instruction course: contact department or
instructor to obtain section number.
MATH 710A Special Topics in Applied Mathematics 3 credits
Intoduction to Artificial Neural Networks
Grade Method: REG/P-F/AUD This course
gives a systematic introduction to
artificial neural networks, which
represent a rather new and fundamentally
different approach to computing and
information processing. Providing
parsimonious universal approximators for
static and dynamic mappings, synthetic
methodologies for building models and/or
solutions, abilities to learn from and
adapt to environments, and massively
parallel computation paradigms, the
artificial neural netwoks have formed a
powerful approach to solving nonlinear or
complex problems in a broad spectrum of
areas including signal/speech/image
processing, system control, pattern
recognition, robotics, financial, digital
communication, etc. This course plans to
cover mathematical and statistical
preliminaries, single-multi-layer
perceptions, recurrent neural nets, global
minimization for training, adaptive and
robust neural nets, neural filtering
identification and control, support vector
machines, self-organizing maps, etc.
Prerequisite: MATH 221, MATH 301. STAT
301, MATH 251, STAT 451, or permission of
instructor.
[3715] 0101 MWF.......10:00am-10:50am (SS 210) LO, J
MATH 710B Special Topics in Applied Mathematics 3 credits
Introduction to Computational Information
Retrieval
Grade Method: REG/P-F/AUD This course is
designed as an introduction to automatic
text processing and information retrieval.
Topics include a vector scale model,
linear algebra, clustering, and
optimization techniques. Students are
expected to participate in class projects
involving the creation, management and
processing of large amounts of document
collection. This project will require
programming in languages such as Perl/CGI,
C/C ++ or Java. Prerequisite: Math 221,
Math 251, CMSC 202, or permission of
instructor.
[3716] 0101 TuTh.......5:30pm- 6:45pm (MP 102) KOGAN, J
MATH 717 Projects in Industrial Mathematics 3 credits
Grade Method: REG
[3717] 0101 TuTh.......4:00pm- 5:15pm (MP 012) SEIDMAN, T
MATH 7700 Master's Special Study 1 credit
(PermReq) Grade Method: P-F Individual Instruction
course: contact department or instructor
to obtain section number.
MATH 799 Master's Thesis Research 1-6 credits
(PermReq) Grade Method: P-F Individual Instruction
course: contact department or instructor
to obtain section number.
MATH 8800 Doctoral Special Study 1 credit
(PermReq) Grade Method: P-F Individual Instruction
course: contact department or instructor
to obtain section number.
MATH 899 Doctoral Dissertation Research 1-6 credits
(PermReq) Grade Method: P-F Individual Instruction
course: contact department or instructor
to obtain section number.
MATH 999 Leave of Absence No credit
(PermReq) Grade Method: NGI This class is intended
for graduate students who wish to continue
in their degree programs, but who will not
study in the Spring 2002 semester. Contact
your departmental advisor or program
director for permission to temporarily
interrupt your studies.
[3830] 0101 Time and room to be arranged ROSTAMIAN, R