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Course Criteria
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4.00 Credits
Advanced data structures and algorithm design and analysis. Topics include analysis techniques, advanced searching and sorting, advanced data structures (e.g., specialized trees, graphs), algorithm design techniques, and NP-completeness.
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4.00 Credits
An examination of the ethical, social, and legal implications of computers, computing, communications, and other digital technologies. Emphasis is placed on writing and professional presentations (including debates). This course includes a significant amount of writing through several standalone essays and a major paper that is developed in an iterative process with frequent feedback.
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4.00 Credits
An overview of formal languages, the abstract models of computing capable of recognizing those languages, and the grammars used to generate them.
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4.00 Credits
Overview of cyber security. Provides students with practical cyber security experience based on theoretical foundations. Topics include: cryptography, computer network defense, covert channels, reverse engineering, steganography, access control, web site exploitation, and other relevant and current topics in security.
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4.00 Credits
The theory, design, and implementation of relational database management systems. Topics include effective storage, security, and applied applications of legacy storage. Emphasis on the practical steps towards the creation of effective database management systems and the implementation of a simple database.
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4.00 Credits
A comprehensive overview of Website development. Includes both server- and client-side installation, configuration, and programming; database integration; and an overview of security implications and considerations.
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2.00 Credits
This course allows students to integrate what they have learned throughout the curriculum in an applied, real world setting. Students work in teams on a major project, applying software engineering principles along the way. The course also emphasizes professional presentations and technical reports at various points in the project. This is the first half of the senior capstone experience, where teams will begin their work on a major project.
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2.00 Credits
This course allows students to integrate what they have learned throughout the curriculum in an applied, real world setting. Students work in teams on a major project, applying software engineering principles along the way. The course also emphasizes professional presentations and technical reports at various points in the project. This is the second half of the senior capstone experience, where teams will finish their work on a major project and present their results.
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4.00 Credits
An overview of AI, including history, impact, implications, and the potential of artificial intelligence. Machine learning: perceptrons, multi-layer networks, and deep learning. Classical AI: game playing and search, propositional logic, first order logic, inference. Knowledge representation.
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4.00 Credits
Techniques for specifying the syntax and semantics of programming languages, including language concepts, execution environments, comparative analysis of programming languages. Principles of compiler design, including lexical analysis, syntax analysis, error detection and recovery.
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