Course Search Results

  • COSC 4490: UI/UX Design

    3.00 Credits
    University of Wyoming

    This course is designed to instruct an in depth course on User Interaction and User Experience Design. The course is focused mainly on design, prototyping, and evaluation. Material covers cognitive and social models and limitations, hardware and software interface components, design methods, support for design, and evaluation methods. Prerequisite: COSC 2030
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  • COSC 4530: Digital Image Proc

    3.00 Credits
    University of Wyoming

    Methodologies and algorithms for processing digital images by computer. Includes color spaces, pixel mappings, filtering, image segmentation, geometric operations and pattern classification. Cross listed with EE 4530. Prerequisites: MATH 2205 and 2250; COSC 1030 or 3070.
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  • COSC 4550: Intro to Artificial Intelligen

    3.00 Credits
    University of Wyoming

    A computational study of intelligent behavior. Focus is on intelligent agents, which could be software agents or robots. Covers how agents sense, reason, and act within their environment. Includes problem-solving, search, knowledge representation, planning, game playing, learning, and neural and belief networks. Dual listed with COSC 5550. Prerequisite: COSC 3020.
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  • COSC 4552: Advanced Topics in AI

    1.00 - 3.00 Credits
    University of Wyoming

    Advanced topics in AI are presented and discussed via research paper review.
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  • COSC 4555: Machine Learning

    3.00 Credits
    University of Wyoming

    Goal is to program machines to learn and improve their performance on their own, based on experience and/or data. First half covers machine learning techniques; second half covers applications. Dual listed with COSC 5555. Prerequisite: 3020.
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  • COSC 4557: Practical Machine Learning

    3.00 Credits
    University of Wyoming

    The class addresses the challenge of designing well-performing Machine Learning (ML) pipelines, including their hyperparameters, architectures of deep Neural Networks, and pre-processing. Future ML developers will learn how to use and design automated approaches for determining such ML pipelines efficiently.
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  • COSC 4560: Modern Robots

    3.00 Credits
    University of Wyoming

    Begins with a presentation of popular agent designs: logic-based, biomimetic, and physicomimetic. It then presents foundational issues on internal robot and softbot knowledge representations. Planning anc control are then covered, followed by issues of how agents can reason and plan under real-world conditions of environmental uncertainty. Concludes with discussions about papers on modern robot and softbot applications, as well as invited lectures by graduate students and faculty in the UW COSC and ECE departments. Dual listed with COSC 5560. Prerequisites: none.
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  • COSC 4570: Data Mining

    3.00 Credits
    University of Wyoming

    Examine methods that have emerged from artificial intelligence and statistics and proven to be of value in recognizing patterns and making predictions with large data sets. Will include both theory and practice while developing several projects.Prerequisites: COSC 4550.
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  • COSC 4580: Honors Undergraduate Reserach

    3.00 Credits
    University of Wyoming

    An independent research experience for undergraduate students enrolled in the Engineering Honors Program. Before registering for this class, students are responsible for discussing their interests with faculty, identifying a willing research mentor, obtaining approval by said mentor, and communicating the student/faculty partnership tot he appropriate staff in their home department. Must be in the Engineering Honors Program. Cross listed with ATSC/BE/CE/CHE/ES/ESE/PETE 4580. Prerequisite: junior or senior standing.
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  • COSC 4700: Computer Design

    3.00 Credits
    University of Wyoming

    Implementing an algorithm in hardware: top down design; controller architecture partitioning, synchronous algorithmic state machines; behavioral, structural and mixed modeling; Verilog HDL, including non-blocking assignment; handshaking; multi-cycle, single-cycle and pipeline tradeoffs; one hot controllers; microprogramming; fetch/execute; experiments with simulated and actual hardware. Prerequisites: COSC 2390 or EE 2390; COSC 2150 or EE 4390.
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