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Course Criteria
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3.00 Credits
This course will analyze a variety of algorithms from the standpoint of what data structures are used and how they are implemented. Students will be introduced to the classes of NP-hard and NP-complete problems and to the theories of complexity analysis.
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3.00 Credits
This course will introduce abstract counterparts of physical machines and algorithms. Turing machines and other automata will be presented. The notions of algorithms, computability and unsolvability will be rigorously defined and studied. Some problems not solvable by instruction-obeying machines will be examined.
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3.00 Credits
This course is an introduction to sets of strings of symbols, their representations, structures, and properties. Abstract languages, formal grammars, productions, the Chomsky hierarchy, generation and recognition mechanisms for languages, and the relationship of formal languages to automata will be studied.
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3.00 Credits
This course will introduce the student to the professional (open) literature as well as other sources in computer science. The student will investigate an area or problem and assimilate, integrate, and present the findings in a scholarly seminar. This course may be taken more than once with approval of the department.
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3.00 Credits
This course consists of doing research for and writing of a report concerning a topic of interest in computer science. The student will research the topic, develop a final report, and present the work in a formal oral presentation.
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3.00 Credits
This course is a continuation of CPSC 574 P Research Project-I.
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3.00 Credits
Under the auspices of a qualified member of the faculty, the student pursues study and research related to professional knowledge and understanding in Computer Science. Topics must be established prior to enrollment.
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3.00 Credits
This course provides an exposure to advanced methods and technologies in data science, including exploratory data analysis, validation strategies, data leakage, metrics optimization, hyperparameter optimization, advanced feature engineering, and ensembling. Students will develop a project involving real-world data on a large scale, and communicate the results to a non=technical audience. For graduate credit a student will be required to write a term paper which reflects deeper investigation of the topics covered in the course.
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3.00 Credits
This course consists of doing research for the writing of a thesis concerning a significant problem in computer science. Under the guidance of an advisor, the student will analyze, design, evaluate, and apply new research findings or technological advances, develop a final product, and present the work in a formal oral presentation.
Prerequisite:
CPSC570
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3.00 Credits
The First Year Experience course is designed to improve student success in college by enhancing academic skills, self-awareness management, self-esteem, and promoting the value of a liberal education for personal development, civic engagement, and lifelong learning. It is highly recommended for all undeclared students matriculating from high school or transfer students with fewer than 21 credit hours.
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