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Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 2 Faq, Lynn Andrea Stein
Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 2 Faq, Lynn Andrea Stein
Lynn Andrea Stein
This course uses applications as vehicles for exploring the formal analytic toolkit of the computer scientist as well as aspects of algorithmic computing and intelligent software design. The course combines elements of automata theory, data structures and algorithms, programming languages, artificial intelligence, information management, and internet programming. A 6 credit version of this course is available on request as an independent study.
Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Exam 1, Lynn Andrea Stein
Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Exam 1, Lynn Andrea Stein
Lynn Andrea Stein
This course uses applications as vehicles for exploring the formal analytic toolkit of the computer scientist as well as aspects of algorithmic computing and intelligent software design. The course combines elements of automata theory, data structures and algorithms, programming languages, artificial intelligence, information management, and internet programming. A 6 credit version of this course is available on request as an independent study.
Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 1, Lynn Andrea Stein
Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 1, Lynn Andrea Stein
Lynn Andrea Stein
This course uses applications as vehicles for exploring the formal analytic toolkit of the computer scientist as well as aspects of algorithmic computing and intelligent software design. The course combines elements of automata theory, data structures and algorithms, programming languages, artificial intelligence, information management, and internet programming. A 6 credit version of this course is available on request as an independent study.
Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 5, Lynn Andrea Stein
Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 5, Lynn Andrea Stein
Lynn Andrea Stein
This course uses applications as vehicles for exploring the formal analytic toolkit of the computer scientist as well as aspects of algorithmic computing and intelligent software design. The course combines elements of automata theory, data structures and algorithms, programming languages, artificial intelligence, information management, and internet programming. A 6 credit version of this course is available on request as an independent study.
Fall 2010 Mth 2140: Differential Equations: Course Materials: Homework 3, Aaron Hoffman
Fall 2010 Mth 2140: Differential Equations: Course Materials: Homework 3, Aaron Hoffman
Aaron Hoffman
An introduction to the solution techniques of differential equations. Topics include mathematical modeling, solution techniques to linear and nonlinear first-order differential equations, characteristic solutions to linear constant coefficient second-order differential equations, solutions to homogeneous (unforced) and inhomogeneous (forced) second-order linear systems. Applications include modeling of physical systems.
Fall 2010 Mth 2140: Differential Equations: Course Materials: Final, Aaron Hoffman
Fall 2010 Mth 2140: Differential Equations: Course Materials: Final, Aaron Hoffman
Aaron Hoffman
An introduction to the solution techniques of differential equations. Topics include mathematical modeling, solution techniques to linear and nonlinear first-order differential equations, characteristic solutions to linear constant coefficient second-order differential equations, solutions to homogeneous (unforced) and inhomogeneous (forced) second-order linear systems. Applications include modeling of physical systems.
Fall 2010 Mth 2140: Differential Equations: Course Materials: Homework 1, Aaron Hoffman
Fall 2010 Mth 2140: Differential Equations: Course Materials: Homework 1, Aaron Hoffman
Aaron Hoffman
An introduction to the solution techniques of differential equations. Topics include mathematical modeling, solution techniques to linear and nonlinear first-order differential equations, characteristic solutions to linear constant coefficient second-order differential equations, solutions to homogeneous (unforced) and inhomogeneous (forced) second-order linear systems. Applications include modeling of physical systems.
Fall 2010 Mth 2140: Differential Equations: Course Materials: Homework 2, Aaron Hoffman
Fall 2010 Mth 2140: Differential Equations: Course Materials: Homework 2, Aaron Hoffman
Aaron Hoffman
An introduction to the solution techniques of differential equations. Topics include mathematical modeling, solution techniques to linear and nonlinear first-order differential equations, characteristic solutions to linear constant coefficient second-order differential equations, solutions to homogeneous (unforced) and inhomogeneous (forced) second-order linear systems. Applications include modeling of physical systems.
Fall 2010 Mth 2140: Differential Equations: Information About Course: Course Syllabus, Aaron Hoffman
Fall 2010 Mth 2140: Differential Equations: Information About Course: Course Syllabus, Aaron Hoffman
Aaron Hoffman
An introduction to the solution techniques of differential equations. Topics include mathematical modeling, solution techniques to linear and nonlinear first-order differential equations, characteristic solutions to linear constant coefficient second-order differential equations, solutions to homogeneous (unforced) and inhomogeneous (forced) second-order linear systems. Applications include modeling of physical systems.