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  • CSCE A412: Evolutionary Computing

    3.00 Credits
    Mat-Su College - Palmer

    Introduces students to subjects in the broad field of evolutionary computing, including genetic algorithms, evolution strategies, evolutionary programming and genetic programming. Emphasis will be on the design, implementation, testing, debugging and verification of correct programs. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Special Note: Not available for credit to students who have completed CSCE A612. May be stacked with: CSCE A612 Prerequisite:    CSCE A311 UA C
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  • CSCE A415: Machine Learning

    3.00 Credits
    Mat-Su College - Palmer

    In-depth survey of basic and advanced concepts of machine learning. Topics include linear discrimination; supervised, unsupervised and semi-supervised learning; multilayer perceptrons; maximum-margin methods; Monte Carlo methods; and reinforcement learning. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Special Note: Not available for credit to students who have completed CSCE A615. May be stacked with: CSCE A615 Prerequisite:    CSCE A311 UA C (AND STAT A253 UA C OR STAT A307 UA C )
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  • CSCE A431: Compilers

    3.00 Credits
    Mat-Su College - Palmer

    Programming language translation from a high-level object-oriented language to assembly code. Lexical analysis, semantic analysis and code generation. Finite state automata, flow graphs, directed graphs, parsers, parse trees and regular expressions. Includes optimizations to improve runtime efficiency. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Special Note: Not available for credit to students who have completed CSCE A631. May be stacked with: CSCE A631 Prerequisite:    CSCE A248 UA C (AND CSCE A331 UA C OR CSCE A351 UA C )
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  • CSCE A442: VLSI Circuit Design

    3.00 Credits
    Mat-Su College - Palmer

    Analysis and design of digital very large scale integration (VLSI) circuits including area restrictions, delay minimization and power minimization. Simulation of VLSI logic in software. Complementary metal-oxide semiconductor (CMOS) design rules, physical design, power consumption, clocking strategies and transistor theory. Engineering VLSI simulation project at the end of the course. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Prerequisite:    CSCE A342 UA C AND EE A204 UA C
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  • CSCE A445: Computer Design & Simulation

    4.00 Credits
    Mat-Su College - Palmer

    Advanced study through simulation of computer organization including processor, memory and input/output (I/O) system organization. Key elements include memory hierarchy and caching, computer arithmetic, instruction sets, addressing, interrupts, processor pipelines, I/O interconnection, and memory management including demand paging and translation lookaside buffer (TLB) cache. Students learn metrics used to measure system performance and evaluate engineering tradeoffs made in design. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Prerequisite:    CSCE A248 UA C AND CSCE A311 UA C
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  • CSCE A446: Digital Media & Interactve Sys

    3.00 Credits
    Mat-Su College - Palmer

    Covers digital media systems for digital cinema and digital cable/Internet media creation, delivery, and interactive systems. Topics covered include digital audio and video encoding and decoding, transport, multiplexing, broadband and baseband transmission, real-time requirements, and interactive on-demand systems for video and video games. Also covers the historical progressions of audio and video from traditional analog to digital formats, including cable; web/mobile Internet Protocol television (IPTV) and media; Advanced Television Systems Committee (ATSC) standards; over-the-air, interactive on-demand digital video; and digital video gaming. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Special Note: Not available for credit to students who have completed CSCE A646. May be stacked with: CSCE A646 Prerequisite:    CSCE A321 UA C AND CSCE A365 UA C
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  • CSCE A448: Computer Architecture

    3.00 Credits
    Mat-Su College - Palmer

    A quantitative approach to computer architecture and parallelism, which addresses both the software and hardware aspects of parallelism in modern computing systems. Specific emphasis will be placed on instruction-level, thread-level, data-level, task-level and request-level parallelism, and developing parallel application code in assembler and high-level languages for systems such as graphics processing units (GPUs). Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Prerequisite:    CSCE A248 UA C
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  • CSCE A450: Mobile Robotics

    3.00 Credits
    Mat-Su College - Palmer

    Introduces robotics with embedded systems. Controlling mobile robots, sensors and motors with autonomous and user-controlled operations. Different types of robots, including aerial, underwater and automotive robots. Real-time image processing and neural networks including genetic algorithms will be covered. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Special Note: Not available for credit to students who have completed CSCE A650. May be stacked with: CSCE A650 Prerequisite:    (CSCE A241 UA C OR EE A241 UA C ) AND CSCE A311 UA C AND CSCE A365 UA C
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  • CSCE A460: Database Systems II

    3.00 Credits
    Mat-Su College - Palmer

    In-depth treatment of relational theory, non-relational database models, transaction processing, concurrency control and administration of databases in practice. Course includes an applied project of significant scope. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Special Note: Not available for credit to students who have completed CSCE A660. May be stacked with: CSCE A660 Prerequisite:    CSCE A360 UA C
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  • CSCE A462: Data Mining

    3.00 Credits
    Mat-Su College - Palmer

    Survey and application of techniques for classification, clustering and association rule mining. Covers rule-based, tree-based, statistical and regression approaches. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Special Note: Not available for credit to students who have completed CSCE A662. May be stacked with: CSCE A662 Prerequisite:    CSCE A360 UA C
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