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1016-289: Contemporary Science:Mathematics
3.00 Credits
Rochester Institute of Technology
A basic survey of mathematical structures as well as an introduction to problem solving. Topics are chosen from foundations of mathematics, algebra, topology, number theory, graph theory, probability and statistics. These structures are examined as they occur naturally in modern settings. NOTE: Not acceptable as science credit for College of Science majors. Class 4, Credit 4 (offered upon suffi cient request)
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1016-289 - Contemporary Science:Mathematics
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1016-304: Differential Equations for Engineering Technology
4.00 Credits
Rochester Institute of Technology
This course is a continuation of 1016-232. Course covers selected applied mathematics topics, including differential equations, Laplace transforms, numerical methods and the calculus of functions of two variables. Emphasis is on the application of these topics to engineering technology problems. (1016-232) Class 4, Credit 4 (F, W, S)
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1016-304 - Differential Equations for Engineering Technology
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1016-305: Multivariable Calculus
4.00 Credits
Rochester Institute of Technology
This course is a study of the calculus of functions of two or more variables, including limits and partial derivatives of these functions, as well as a study of three dimensional analytic geometry and vector algebra, and multiple integrals with applications in engineering and science. (Grade of "C" or better in1016-273 or in 1016-282) Class 4, Credit 4 (F, W, S, SU)
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1016-305 - Multivariable Calculus
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1016-306: Differential Equations I
4.00 Credits
Rochester Institute of Technology
This course is an introduction to the study of ordinary differential equations and their applications. Topics include solutions to common fi rst-order equations and linear second-order equations, method of undetermined coeffi cients, variation of parameters, linear independence and the Wronskian, numerical solution techniques, vibrating systems and Laplace transforms. (1016-283) Class 4, Credit 4 (F, W, S, SU)
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1016-306 - Differential Equations I
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1016-307: Differential Equations II
4.00 Credits
Rochester Institute of Technology
This is a second-quarter course in ordinary differential equations that includes power series solutions to ordinary differential equations about ordinary and regular singular points; orthogonal polynomials; solution of systems of linear differential equations; phase plane analysis, stability and chaos. (1016-305, 306) Class 4, Credit 4 (offered upon suffi cient request)
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1016-307 - Differential Equations II
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1016-314: Engineering Statistics
3.00 Credits
Rochester Institute of Technology
Basic statistical concepts including descriptive statistics, probability, inference, and quality control are covered in this course. The statistical package Minitab will be used to reinforce these techniques. The focus of this course is on statistical applications and quality improvement in engineering. This course is intended for engineering programs and has a calculus prerequisite. NOTE: This course may not be taken for credit if credit is to be earned in 1016-319. (1016-283) Class 4, Credit 4 (F, W, S)
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1016-314 - Engineering Statistics
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1016-318: Matrices and Boundary Value Problems
4.00 Credits
Rochester Institute of Technology
This course is an introduction to matrix algebra and boundary value problems. Topics include matrix operations with applications to the solution of linear systems of algebraic equations, Fourier series, separation of variables, the heat equation and the wave equation. Matrix Algebra material should be covered fi rst. (1016-305, 1016-306) Class 4, Credit 4 ( F, S, SU)
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1016-318 - Matrices and Boundary Value Problems
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1016-319: Data Analysis I
3.00 Credits
Rochester Institute of Technology
This course will study the statistical principles of presenting and interpreting data. Topics covered will include: descriptive statistics and displays, random sampling, the normal distribution, confi dence intervals and hypothesis testing. The statistical software package Minitab will be used to reinforce these principles and to introduce students to the use of technology in statistical analysis. This is a general introductory statistics course and is intended for a broad range of programs. NOTE: This course may not be taken for credit if credit is to be earned in 1016-314. (1016-204) Class 4, Credit 4 (F, W, S, SU)
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1016-319 - Data Analysis I
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1016-320: Data Analysis II
6.00 Credits
Rochester Institute of Technology
This course is an elementary introduction to the topics of regression and analysis of variance. The statistical software package MINITAB is used to reinforce these techniques. The focus of this course is on business applications. This is a general introductory statistics course and is intended for a broad range of programs. (1016-319 or equivalent) Class 6, Credit 6 (F, W, S, SU)
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1016-320 - Data Analysis II
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1016-328: Engineering Mathematics
3.00 Credits
Rochester Institute of Technology
This course is an introduction to matrix algebra and vector calculus. Topics include matrix operations with applications to the solution of linear systems of algebraic equations; gradient, divergence and curl; line and surface integrals; independence of path and the divergence theorem; and Stoke's theorem with discussion of engineering applications and analysis. NOTE: Credit may not be earned in both 1016-328 and 1016-410 (1016-305, 306) Class 4, Credit 4 ( F, S, SU)
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1016-328 - Engineering Mathematics
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