Courses <- Sean Forman <- You Are Here
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I am on leave for the 2006-2007 academic year.
Introduction to Statistics
I am teaching two sections.
Calculus I
I am teaching two sections.
Applied Calculus I
I am teaching sections 153 (8:30) and 155 (10:00).
Applied Calculus I
I am teaching sections 103 and 107.Numerical Analysis
This course is listed under three different numbers.Undergraduate Day - MAT 2011 University College - CSC 2005 Graduate - CSC 5815
Internet Application Development
The books for the course are
The HTML Pocket Reference (required, and don't tell me you can find it on the web. It is REQUIRED.)
Designing Web Usability (Recommended)
Operations Research (MAT 2461)
Operations Research (and discrete optimization) is among the most applied of all mathematical sciences. Traditionally, it has been used to optimally solve problems arising in business, engineering, and military science. Recently, it has expanded to a large set of problems in biology, computer science, communications, and even the scheduling of sports leagues.
Typical OR problems involve a set of decision variables, which may be continuous or discrete, a set of constraints, and an objective function which we hope to maximize or minimize. We discuss how to model these problems, algorithms used to solve them and then how to analyze the results for additional information (i.e. should we build that second plant in Poughkeepsie).Internet Application Development (CSC 5865)
This course will attempt to give students experience in designing internet applications. A student finishing this course should be able to design, implement, and maintain large community web sites. They should leave the course with an understanding of internet protocols and markup languages, a knowledge of at least one common scripting tool, an understanding of how to implement a database back-end into a large-scale site, and the ability to critically assess the usability of both their design and the design others.
Numerical Analysis (CSC 5815 and MAT 2011)
An introduction to the numerical solution of a variety of problems: Differential equations, polynomial interpolation, numerical integration, numerical differentiation, and several other topics. A solid background in Calculus and some knowledge of Linear Algebra will be helpful. The textbook is Elementary Numerical Analysis by Kendall Atkinson.(Sections FS and 112) Mathematics for Business Majors I (MAT 1151)
Introduction to Statistics (MAT 1181)
Introduction to statistics and probability: measures of central tendency, variability, correlation, regression, chance and randomness, random variables, probability distributions, law of large numbers, central limit theorem. Students will use a software package to solve various statistical problems.Numerical Analysis (CSC 5815 and MAT 2011)
An introduction to the numerical solution of a variety of problems: Differential equations, polynomial interpolation, numerical integration, numerical differentiation, and several other topics. A solid background in Calculus and some knowledge of Linear Algebra will be helpful. The textbook is Elementary Numerical Analysis by Kendall Atkinson.
Topics in Contemporary Math (MAT 1171) (2 sections)
Topics in discrete mathematics: graphs and routing problems, Euler and Hamilton circuits, minimum cost spanning trees, critical path analysis, scheduling, bin-packing algorithms, linear programming, voting systems, voting power, apportionment and fair division.Discrete Simulation (CSC 5835)
Use of computing to model, perform experiments, analyze, and report results. A simulation language will be used for experimentation on problems from operational research.
Introduction to Statistics (MAT 1181)
Introduction to statistics and probability: measures of central tendency, variability, correlation, regression, chance and randomness, random variables, probability distributions, law of large numbers, central limit theorem. Students will use a software package to solve various statistical problems.Operations Research (MAT 2461)
This course will cover some of the optimization techniques used in operations research, management science and related fields. Special attention will be paid to linear programming. Other topics covered include knapsack problems, integer programming, interior point algorithms, game theory and network problems. Some programming in Maple will be done. The textbook in use will be Optimization in Operations Research by Ronald Rardin. Additionally, we will use some material from The Compleat Strategyst.Numerical Analysis (CSC 5815 and MAT 2011)
An introduction to the numerical solution of a variety of problems: Differential equations, polynomial interpolation, numerical integration, numerical differentiation, and several other topics. A solid background in Calculus and some knowledge of Linear Algebra will be helpful. The textbook is Elementary Numerical Analysis by Kendall Atkinson.
Topics in Contemporary Math (MAT 1171)
Topics in discrete mathematics: graphs and routing problems, Euler and Hamilton circuits, minimum cost spanning trees, critical path analysis, scheduling, bin-packing algorithms, linear programming, voting systems, voting power, apportionment and fair division.Pre-Calculus Mathematics (MAT 1201)
The sole purpose is to prepare student for courses in Calculus, i.e. MAT 1251-1261 or 1351-1361. Algebra: factoring, simultaneous equations, polynomial, rational, and exponential functions, binomial theorem, word problems. Trigonometry: basic functions, formulae, graphs. Analytic Geometry: straight line, circle, conic sections.Discrete Simulation (CSC 5835)
Use of digital computing to model, perform experiments, analyze, and report results. Fortran and one other simulation language are used for experimentation on problems from operational research.
Summary of Operations Research and Numerical Analysis (pdf)
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Last Modified: August 25, 2000