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  • 3.00 Credits

    This course is a continuation of ART/SCLPT 4410. Students focus on developing a body of studio work with a strong emphasis on establishing serial works and complete artist portfolios. Integration of written statements, research, and verbal skills is expected. Students are responsible for completion of artist portfolio, including slide documentation, resume, and statements related to works in progress. Exposure to specific sculptural vocabularies include mixed media, architectural, environmental, performance, installation, site work, and political/social. Prerequisites: 'C-' or better in SCLPT 4410 AND Minor status in Sculpture OR Instructor Consent
  • 3.00 Credits

    This course develops an understanding of digital video technology as a means of creating art works in conjunction with 3-dimensional media areas. It explores digital aesthetics and conceptual aspects of digital processes and imagery, focusing on integration of these processes with more traditional art formats. Having prior computer skills is not a prerequisite. Technology demonstrations provide necessary information and skills in digital input, output, and manipulation processes in both digital video and sound formats. Prerequisites: "C-" or better in (SCLPT 3410 AND Minor status in Sculpture) OR Instructor Consent.
  • 3.00 Credits

    This course provides students with an opportunity to explore the role of the arts as a form of environmental action. Using texts, site visits, and discussions, the students will research current environmental issues locally, nationally, and globally and experience innovative arts projects by artists and art collectives that are addressing the current environmental crisis. Students will combine personal and collaborative approaches to creating artworks that invoke awareness and/or change within their community. Prerequisites: 'C-' or better in SCLPT 3410 AND Minor status in Sculpture OR Instructor Consent
  • 3.00 Credits

    This course provides a broad overview of analytics with a focus on using quantitative tools to better manage systems. The first third of the course focuses on developing introductory and basic python programming skills to read, store and graphically represent data. The topics covered include: arrays, loops, data structures and visualizing data. The second third of the class focuses on statistical analysis of data. The topics covered include: f and t hypothesis testing, confidence intervals, regression and clustering. The final third of the course presents how to use computers to generate improved or optimal solutions. The topics covered include neighborhood search, hill climbing or simulated annealing heuristic, linear programming and integer programming. The homeworks, projects and tests will draw data from a wide range of systems where analytic tools will identify better solutions for improved systems management. Prerequisites: 'C' or better in (ME EN 1010 OR CS 1400 OR CS 1420 OR CH EN 1703 OR MSE 2001) AND (ME EN 2550 OR MATH 3070 OR CH EN 2550 OR CS 3130 OR ECE 3530) AND Full Major status in the College of Engineering or College of Mines
  • 3.00 Credits

    This course provides a broad overview of operations research topics with a focus on finding mathematically optimal solutions for systems. An emphasis is placed upon real world applications. Topics covered include: linear programming, integer programming, nonlinear programming, discrete Markov chains and queueing theory. Prerequisites: 'C' or better (BME 3070 OR CH EN 2550 OR CS 3130 OR ECE 3530 OR MATH 3070 OR ME EN 2550 OR MET E 3070 OR OSC 2030) AND (Major status in the College of Engineering OR College of Mines OR College of Science)
  • 3.00 Credits

    This course introduces discrete event simulation (through Arena) and how it is applied to dynamic systems. Discrete event simulation concepts such as entities, resources, and event chains are introduced. Systems will be simulated considering time (such as work schedules, machine/human performance), space (such as process layout) and resource (such as manpower, equipment) characteristics of process. In doing that, the course covers a variety of Arena features and building blocks. The course will also introduce time studies, and distribution fitting. Prerequisites: 'C' or better (BME 3070 OR CH EN 2550 OR CS 3130 OR ECE 3530 OR MATH 3070 OR ME EN 2550 OR MET E 3070 OR OSC 2030) AND (Major status in the College of Engineering OR College of Mines OR College of Science)
  • 3.00 Credits

    In Fundamentals of Systems Engineering, students are introduced to the science of systems engineering, especially the methods and disciplines used to define, develop, and deploy small to complex and large-scale systems. The course takes advantage of integrated examples, analysis and discussion of case studies, projects, and team exercises that enable a thorough understanding of the larger context wherein requirements for a system are realized and then translated into an operational concept. Prerequisites: 'C' or better (BME 3070 OR CH EN 2550 OR CS 3130 OR ECE 3530 OR MATH 3070 OR ME EN 2550 OR MET E 3070 OR OSC 2030) AND (Major status in the College of Engineering OR College of Mines OR College of Science)
  • 3.00 Credits

    This course provides the student with an understanding of the context and framework for carrying out a systems engineering project and the system-level responsibilities of a systems engineer, through hands-on activity. Topics covered include systems design and development, system test and evaluation, system reliability, system maintainability, human factors and system design, system producibility and supportability, balancing life-cycle cost, schedule, suitability and performance, risk management, and systems engineering project management and control. Types of systems considered will range from small-scale to large-scale and from primarily technical to primarily social-political. Prerequisites: 'C' or better (BME 3070 OR CH EN 2550 OR CS 3130 OR ECE 3530 OR MATH 3070 OR ME EN 2550 OR MET E 3070 OR OSC 2030) AND (Major status in the College of Engineering OR College of Mines OR College of Science)
  • 3.00 Credits

    The course will cover Requirements Engineering and Management concepts focused on systems engineering. The course will provide the student an understanding of the main concepts and principles of Requirements Engineering and Management, as well as the different techniques and core methodologies utilized in Systems Engineering to support the sustainability and development theories. The course will examine the processes and methods to identify, control, audit, and track the evolution of system characteristics throughout the system life cycle, and the student will be able to create and maintain a configuration and requirements management plan and procedures. Prerequisites: 'C' or better (BME 3070 OR CH EN 2550 OR CS 3130 OR ECE 3530 OR MATH 3070 OR ME EN 2550 OR MET E 3070 OR OSC 2030) AND (Major status in the College of Engineering OR College of Mines OR College of Science)
  • 3.00 Credits

    This course covers the design processes for production and service systems with an emphasis on economic justification. Topics covered include: logistics and supply chain design, capacity planning, flow lines, paced assembly lines, facility layout, and material handling. Through spreadsheet models and simulations, students quantitatively identify and suggest improvements to production and service systems. Prerequisites: 'C' or better (BME 3070 OR CH EN 2550 OR CS 3130 OR ECE 3530 OR MATH 3070 OR ME EN 2550 OR MET E 3070 OR OSC 2030) AND (Major status in the College of Engineering OR College of Mines OR College of Science)