Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

Computer Sciences

2011

Course Materials

Articles 1 - 9 of 9

Full-Text Articles in Physical Sciences and Mathematics

Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 1 Faq, Lynn Andrea Stein Aug 2011

Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 1 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: Assignment 4, Lynn Andrea Stein Aug 2011

Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 4, 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 Faq, Lynn Andrea Stein Aug 2011

Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 5 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: Assignment 3 Faq, Lynn Andrea Stein Aug 2011

Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 3 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: Assignment 3, Lynn Andrea Stein Aug 2011

Fall 2010 Engr 3520: Foundations Of Computer Science: Course Materials: Assignment 3, 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 2 Faq, Lynn Andrea Stein Aug 2011

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 Aug 2011

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 Aug 2011

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 Aug 2011

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.