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2017-2018 Course Catalog. 2016-2017 Course Catalog. 2015-2016 Undergraduate Catalog / Graduate Catalog / Program & Course Catalog. 2014-2015 Undergraduate Catalog / Graduate Catalog / Program & Course Catalog. 2013-2014 Undergraduate Catalog / Graduate Catalog / Program & Course Catalog. 2012-2013 Course Catalog. 2011-2012 Course Catalog. 2009 ...
Browse the latest online courses from Harvard University, including CS50's Introduction to Game Development and CS50's Web Programming with Python and JavaScript.
Proctored Courses Required for Computer Science Majors [17] ENGL 1102 English Composition 2 MATH 1201 College Algebra MATH 1280 Introduction to Statistics CS 2205 Web Programming 1 CS 2301 Operating Systems 1 CS 3305 Web Programming 2 CS 3306 Databases 2 CS 3303 Data Structures CS 3307 Operating Systems 2 CS 4407 Data Mining and Machine Learning
You will be able to recognize when machine learning and data mining tools are applicable. Execute. You will be able to plan and execute successful machine learning and data mining projects, including selecting an adequate process for your specific task and avoiding the main machine learning pitfalls.
The doctoral program in computer science provides students with a deep grounding in the fundamental principles and practice of computer science through core and elective coursework. The program also prepares students to conduct novel research that advances the state of the art in the field of computer science.
CS 494. Special Topics in Computer Science. 1-4 hours. Multidisciplinary computer science topics for undergrad seniors and graduate student that vary from term to term depending on current student and instructor interests. Course Information: 1 to 3 undergraduate hours; 2 to 4 graduate hours. Prerequisite(s): Consent of the instructor.
CS 37300: Data Mining and Machine Learning TR 10:30-11:45 Math 175 Chris Clifton Email: Course Outline Course Topics. This course will introduce students to the field of data mining and machine learning, which sits at the interface between statistics and computer science.
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Aug 29, 2019 CS 3341 Probability and Statistics in Computer Science and Software Engineering. CS 5390 Computer Networks. For the Traditional Computer Science: CS 5349 Automata Theory. CS 5390 Computer Networks. Degree Requirements. The University's general degree requirements are discussed on the Graduate Policies and Procedures page.
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The mission of the Bachelor of Science in Mining Engineering (B.S.Min.E.) program at West Virginia University has been established to produce graduates who are thoroughly prepared to meet the operational and engineering challenges of the mining industry …
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CS4315 Introduction to Machine Learning and Data Mining A survey of methods by which software and hardware can improve their performance over time. Topics include data manipulation, concept learning, association rules, decision trees, Bayesian models, simple linear models, case-based reasoning, genetic algorithms, and finite-state sequence ...
Established in 1966 by Dr. Tom Nartker, the Department of Computer Science and Engineering at New Mexico Tech offers courses in both theoretical and applied computer science covering current concepts and major applications of the field as part of the following programs:. Graduate Programs: Ph.D. in Computer Science; Master’s in Computer Science ...
Computer Science. The Computer Science program offers a flexible and innovative curriculum that blends theoretic foundations of computer science with state-of-the-art computing technologies. Students starting this program typically have an undergraduate degree in Computer Science but may come from another scientific discipline.
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Browse the Harvard Extension School Course Catalog for more than 900 open-enrollment courses in 60-plus subjects. Discover both on-campus and online courses. Start your search today.
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Complete Catalog PDFs 2021-2022 Undergraduate Catalog; 2021-2022 Graduate Catalog; Cancel ...
CS 519. Investigating Online Crimes. 3 Hours. Introduction to cyber-investigative techniques involving network forensics. Students will develop and learn to apply new programs and techniques to automatically evaluate digital evidence from network packet captures, emails, server logs, social media, darknets and online forums related to cyber crime cases from both a law enforcement and incident ...
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