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Course Criteria
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3.00 Credits
This course will provide students with a comprehensive overview of the major ideas that have emerged over decades of AI research. This overview will present students with strategies, techniques, algorithms, and considerations for the design of software or systems that reason and act from their own percepts.
Prerequisite:
CSCI 211 AND CSCI 280 AND CSCI 370
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3.00 Credits
This course is an advanced undergraduate level to stochastic computing. It provides deeper insight into theoretical foundations and applications and implementations of stochastic techniques and methods. Course is especially geared towards applications in pattern recognition, simulations and robotics and serves to prepare a student for start of their career in industry and graduate education.
Prerequisite:
MTSC 252 AND MTSC 313 AND CSCI 370
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3.00 Credits
This course presents theory, method and practice for developing computer software. It covers software development life cycle including requirements collection, specification and analysis, software process models, architecture design, prototyping, user interface design, programming methodology, and software testing. It also teaches students how to use various development tools, environments and frameworks. Emphasis will be on design and documentation instead of coding.
Prerequisite:
CSCI 211
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3.00 Credits
This courses provides an in depth analysis of data structures and algorithms and introduces computational complexity and design of efficient data-handling procedures. Topics include divide and conquer approaches, lower bound for sorting and overview of sorting in linear time, algorithms for data structures, design techniques, dynamic programming, greedy algorithms, multithreaded algorithms, algorithms for GPU, complexity classes, and introduction to NP completeness.
Prerequisite:
CSCI 211 AND CSCI 280
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3.00 Credits
This course focuses on finite automata, formal languages, limits of algorithmic computation, and some aspects of computational complexity.
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3.00 Credits
The Senior Capstone course is the crowning of your education in the Department of Computer and Information Sciences at Delaware State University! Therefore, in order to successfully complete this course, a student will be required to demonstrate mastery of multiple topics covered throughout the CS/IT curriculum, including, but not limited to: problem solving, mathematical proficiency, programming, knowledge of algorithms and data structures, etc.Prerequisites: Consent of the Instructor.Credit, three hours.
Prerequisite:
(CSCI 320 AND CSCI 330 AND CSCI 340 AND CSCI 480)
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3.00 - 6.00 Credits
Cooperative education allows students to combine academic study with on-the-job experience by working on paid training assignments coordinated by the Department. The major objective of cooperative education is the application of classroom theory to a work environment. Prerequisite: Consent of Instructor.Credit, three to six hours.
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3.00 Credits
The course will introduce elements, techniques, and principles governing an innovative computer science area such as symbolic computation and advanced artificial intelligence.Prerequisites: Consent of the Instructor.Credit, three hours.
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1.00 - 3.00 Credits
An intensive investigation of a topic within the discipline of Computer Science under the guidance of a faculty member. Course requirements include regular conferences relating to a research paper or other appropriate project.
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3.00 Credits
Three credits: Three lectures per week.Prerequisite:Consent of the instructor.Overview of analysis and design principles for efficient algorithms. Topics include computability, tractability, and examples of algorithms.
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