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Course Criteria
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4.00 Credits
More in-depth coverage of computing. Topics include problem solving, algorithm analysis and development, object-oriented programming in Python, high-level data structures, computer organization and architecture, and various applications of computing.
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4.00 Credits
The storage and manipulation of basic data structures such as arrays, linked lists, stacks, queues, trees, hash tables, and graphs. Emphasis is placed on practical applications of these data structures.
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4.00 Credits
Architecture and organization of computer systems. Computer organization topics include data representation, digital logic, Boolean algebra, minimization techniques. Computer architecture topics include the CPU, instruction set architectures, memory hierarchy and management, input/output systems, alternative architectures, performance measurement and analysis.
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4.00 Credits
An introduction to systems programming (in the context of Linux and C/C++) and operating systems. Topics include include linking, writing scripts, performing system calls, managing memory, and using concurrency; process management, storage management, device management, performance, and security.
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4.00 Credits
Design, construction, and maintenance of large software systems. Project planning, requirements analysis, software design methodologies, software implementation and testing, maintenance.
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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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