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Course Criteria
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3.00 Credits
Introductory numerical analysis and scientific computation. Topics include computer arithmetic, numerical error, polynomial interpolation, systems of linear equations, interative methods for nonlinear equations, least squares approximation, and numerical integration. Essential background material for this course is covered in MATH 2072 (Calculus II) and CSCI 1301 (Introduction to Programming), or equivalent.
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3.00 Credits
Prerequisite: MATH 2072 and CSCI 1301 Introductory numerical analysis and scientific computation. Topics include computer arithmetic, numerical error, polynomial interpolation, systems of linear equations, iterative methods for nonlinear equations, least squares approximation, numerical and integration. Crosslisted as MATH 4610.
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3.00 Credits
Key Concepts and algorithms involved in cryptography and computer security. Includes intrusion detection, firewalls, and digital signatures.
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3.00 Credits
Prerequisite: CSCI 5220U or CSCI5410U Key concepts and algorithms involved in cryptography and computer security. Includes intrusion detection, firewalls, and digital signatures.
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3.00 Credits
Survey of database systems, query processing and optimization, transactions, currency control, security, data mining, XML, Web data, and Internet commerce. Essential background material for this course is covered in CSCI 3720 (Database Systems), or equivalent.
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3.00 Credits
Prerequisite: CSCI 3720 Survey of database systems, query processing and optimization, transactions, currency control, security, data mining, XML, web data, and Internet commerce.
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3.00 Credits
Study of data mining functionalities including characterization and descrimination, classification and prediction, cluster analysis, association analysis, outlier analysis, evolution analysis; data mining system architectures; data mining query languages, and OLAP technology for data mining. Multiple projects encompassing a number of the discussed concepts. Essential background for this course is covered in CSCI 3720.
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3.00 Credits
Prerequisite: CSCI 3720 Study of data mining functionalities including characterization and discrimination, classification and prediction, cluster analysis, association analysis, outlier analysis, evolution analysis; data mining system architectures; data mining query languages; and OLAP technology for data mining. Multiple projects encompassing a number of the discussed concepts.
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3.00 Credits
Pattern matching and classification with an emphasis on developing applications using diverse machine learning methods, including decision trees, neural networks, clustering, and hidden Markov Models. Includes a major project encompassing some or all of these concepts. Essential background material for this course is covered in CSCI 2490 (OO and C++), or equivalent.
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3.00 Credits
Prerequisite: CSCI 2490 and CSCI 2620 Pattern matching and classification with an emphasis on developing applications using diverse machine learning methods, including decision trees, neural networks, clustering, and hidden Markov models. Includes a major project encompassing some or all of these concepts.
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