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Course Criteria
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4.00 Credits
This course provides students with an introduction to the field of cryptology. Students will study block and stream ciphers, symmetric and asymmetric ciphers, the strength and weaknesses of ciphers, encryption standards, public key cryptography, digital signatures, key management, hash functions, and message authentication codes. Students will be required to create working software based on cryptographic algorithms.
Prerequisite:
CPSC130 AND CPSC131 AND CPSC230 AND CPSC250 AND MATH140 AND MATH220
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3.00 Credits
This course is designed to teach students the fundamentals in the field of Data Science. This course covers the basics of programming environment for data analysis, data manipulation (data index, selection, merge, join, aggregation, grouping), data cleaning, and data visualization (2-D plots, 3-D plots). This is a programming intensive course.
Prerequisite:
CPSC120 OR CPSC230 OR MATH318 AND MATH110 OR MATH311
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3.00 Credits
This course is an introduction to computer graphics. Basic principles for design, use, understanding of graphic systems will be studied. Algorithms for creating and manipulating graphic displays and a standard programming language for their implementation will be presented. There will be programming practice. This course is usually offered in alternate years.
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3.00 Credits
Search engine systems like Google and Yahoo! are essential tools for finding the most valuable and relevant information, given the explosion of digital information available today. This course studies the design, implementation, and evaluation of modern information retrieval systems, such as web search engines. Topics include: retrieval system design and implementation, text analysis techniques, retrieval models (e.g. Boolean, vector space, probabilistic, and learning-based methods), search evaluation, retrieval feedback, search log mining, and applications in web information management.
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3.00 Credits
A study of symbolic processing and intelligent applications; major models, state-space, problem-subproblem, automated deduction will be applied to solve problems in heuristic programming and artificial intelligence. This course is usually offered in alternate years.
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3.00 Credits
This course provides students with a broad introduction to machine learning, datamining, and statistical pattern recognition. Students will study data exploration, decision tree, K-nearest neighborhoods, linear regression, logistic regression, support vector machines, neural networks, ensemble learning, clustering, dimensionality reduction, and model evaluations. Students will be required to build predictive models based on machine algorithms. This course is usually offered in alternate years.
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3.00 Credits
This course is a study of the principles of software engineering and various programming methodologies as applied to the development of large, complex software systems. Top-down, structured design and programming will be emphasized. There will be practice in the construction of a large software system. This course is usually offered in the fall. This is a programming intensive course.
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3.00 Credits
This course is an introduction to natural language processing in Computer Science. There will be a review of elementary text, tree, and graph processing and an introduction to syntactic and semantic processing. Syntax: Backus-Naur grammars, sentence generation/recognition, augmented transition networks, parsing strategies. Semantics: case grammar theory, frame theory. There will be case studies of current systems as well as programming practice. This course is usually offered in alternate years.
Prerequisite:
CPSC130 AND CPSC131 AND CPSC141 AND CPSC330 AND CPSC230 AND CPSC250
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3.00 Credits
This course introduces the student to the methods and techniques involved in translating high-level languages such as ADA and C into executable machine code. Topics include study of lexical scanning, parsing, symbol table construction, object code generation, and optimization. The bulk of the student activity is spent writing a compiler for a substantial subset of the ADA or C language. This course is usually offered in alternate years.
Prerequisite:
CPSC130 AND CPSC131 AND CPSC230 AND CPSC232 AND CPSC250 AND CPSC340
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3.00 Credits
This course covers a number of advanced topics in the Internet and web programming domain including: client-server architectures, web services, service-oriented architectures, cloud computing, and mobile web applications. This is a programming intensive course which focuses on applying these technologies to design a web based application, with emphasis on optimizing the performance of the end product. The student will be required to implement a team project using one or more of these technologies.
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