550.111 (E,Q)

STATISTICAL ANALYSIS (4) Maiste Prereq: Four years high school math

Lec.

Sec. 01

02

03

04

05

06

07

  MTW 12

W 4

 Th 9

Th 10:30

 Th 12

Th 1

Th 2

W 2

550.171 (E,Q)

DISCRETE MATHEMATICS (4) Torasco Staff   Prereq: Four years high school math

Lec.

Sec. 01

 02

03

MTW 11

Th 9

Th 12

Th 1

550.291 (E,Q)

LINEAR ALGEBRA AND DIFFERENTIAL EQUATIONS (4) Hutchison Wagner Torcaso   Prereq: One year of Calculus, computing experience

Lec.

Sec. 01

02

MTW 9

  Th 12

Th 2

550.310 (E,Q)

PROBABILITY & STATISTICS FOR THE PHYSICAL SCIENCES AND ENGINEERING (4) Maiste  

Prereq: One year of Calculus;               Coreq: 110.202

Lec.

Sec. 01

02

03

04

MTW 10

W 3

Th 10:30

Th 12

Th 1

550.311 (E,Q)

PROBABILITY AND STATISTICS FOR BIOLOGICAL SCIENCES AND ENGINEERING (4) German  

Prereq: One year of Calculus;

Coreq: 110.202

Lec.

Sec. 01

02

MTW 10

Th 1

Th 10:30

550.361 (E,Q)

INTRODUCTION TO OPTIMIZATION (4) Goldman   Prereq: 550.291 or approved alternative, 110.108-109, computing experience

Lec.

Sec. 01

MTW 2

Th 2

550.385 (E,Q)

SCIENTIFIC COMPUTING: LINEAR ALGEBRA (4) Fishkind   Prereq: Calculus III and 550.291 or approved alternative (ex. 110.201) A first course on computational linear algebra and applications. Topics include floating-point arithmetics, algorithms and convergence, Gaussian elimination, matrix decompositions, iterative methods and approximating eigenvalues.  Theoretical topics are reviewed as needed. Matlab is used to solve all numerical exercises; no previous experience with computer programming is required.

Lec.

Sec. 01

           MTW  1

 Th  1

550.391 (E,Q)

DYNAMICAL SYSTEMS (4) Eyink   Prereq: 110.112-113, linear algebra, computing experience

Lec

Sec. 01

MTW12

Th  12

550.400 (E,Q)

              (W)

MATHEMATICAL MODELING AND CONSULTING (4) Torcaso

Prereq: Probability, statistics, and optimization at the 300-level or higher

Lec.

Sec. 01

MTW 2 

Th 2

550.420 (E,Q)

INTRODUCTION TO PROBABILITY (4) Wierman    Prereq: 110.108-109; Coreq: 110.202 Section 03 cancelled 4/1/04 Sec. 03 & 04 added 9/8/04.

Lec.

Sec. 01

02 

03
03

04

MTW 1

Th 1

Th 2

Th 1
Th 1

Th 12

550.433 (E,Q)

MONTE CARLO SIMULATION AND RELIABILITY (3) Naiman

Prereq: 550.430, computing experience

Sec. 01

MTW 12

550.436 (E,Q)

DATA MINING (4) Maiste Prereq: 550.310 or equivalent; Recommended: 550.413 Coreq: 550.413

Lec.

Sec. 01

MTW 3

Th 1

550.463 (E,Q)

NETWORK MODELS IN OPERATIONS RESEARCH (3) Fishkind     Prereq: 550.361 OR 550.661 Course added 4/5/04

Sec. 01

MTW 11

550.471 (E,Q)

COMBINATORIAL ANALYSIS (4) DeVinney Fishkind     Prereq: One year of Calculus, Linear Algebra

Lec.

Sec. 01

MTW 4 MTW 11

Th 11

550.491 (E,Q)

APPLIED ANALYSIS FOR ENGINEERS AND SCIENTISTS (4) Eyink   Prereq: Calculus I, II, and III and either 550.291 and 500.303, or 110.201 and 110.302     This course will cover techniques and applications of differential and integral analysis that are important for advanced work in engineering and science, including partial differential equations and transform methods. Colisted with 530.659

Lec.

Sec. 01

MTW 10

Th 10

550.493 (E,Q)

MATHEMATICAL IMAGE ANALYSIS (3) Younes   Prereq: 110.108-109 and 110.201 or equivalent     This course introduces a series of mathematical concepts of low level image processing, and the numerical algorithms that are derived from them.  This includes, in particular linear and non-linear smoothing and enhancement, PDE-based isotropic and anisotropic filters, variational energy-minimization methods, data analysis and decomposition methods allowing low-level image understanding: standard image transforms (Fourier,cosine,wavelets) techniques of principal and independent component analysis.

Sec. 01

MTW 4

550.503

RESEARCH

550.600

DEPARTMENT SEMINAR Wierman Han

Sec. 01

Th 3-5:30

550.601

APPLIED MATHEMATICS AND STATISTICS ENTERING GRADUATE STUDENT WORKSHOP  Torcaso

This course is intended for new doctoral students in the Department of Applied Mathematics and Statistics to cover fundamental topics necessary for their graduate education

Sec. 01

MTW 12

550.620

PROBABILITY THEORY I Fill

110.405 and 550.420 or equivalents

Sec. 01

M 2:30-4:15,

W 2:30,

 F 2

550.630

STATISTICAL THEORY Priebe

Prereq: 550.420 or 550.620

Lec.

Sec. 01

MW 1-2:15

F 1

550.635

TOPICS IN BIOINFORMATICS Geman Prereq: A course in statistics is required. Previsous exposure to machine learning or pattern recognition is recommended.
A "readings" course for seniors through postdocs and faculty organized around selected papers in bioinformatics. A major objective is to prepare students to comfortably read the literature about statistical inference and modeling from biomedical data. Student expositions will be supplemented by lectures on the underlying methodologies. Course added 5/28/04

Sec. 01

T 4:30-7pm
TBA

550.661

FOUNDATIONS OF OPTIMIZATION Han   Prereq: Multivariable Calculus,

Linear Algebra; Coreq: 110.405

Lec.

Sec. 01

MTW 10

     F 10

550.671

COMBINATORIAL ANALYSIS DeVinney Fishkind     Prereq: One year of Calculus and Linear Algebra

Lec.

Sec. 01

MTW 4 MTW 11

F 11

550.692

MATRIX ANALYSIS AND

LINEAR ALGEBRA Fishkind

Prereq: Linear Algebra, 110.202, 110.405

Lec.

Sec. 01

MTW 9

F 9

550.790
550.760

TOPICS IN APPLIED MATHEMATICS OPTIMIZATION: MODELING, SIMULATION, AND MONTE CARLO Spall  Course added 4/2/04.

Sec. 01

T 2:10-3:30
T 2-3:20

550.800

DISSERTATION RESEARCH Staff

550.810

PROBABILITY AND STATISTICS RESEARCH SEMINAR Staff

Sec. 01

TBA

550.865

DISCRETE MATHEMATICS AND OPTIMIZATION RESEARCH SEMINAR Han Staff

Sec. 01

T 12-2