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Course Criteria
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3.00 Credits
This is a beginning course with a concentration in the development of technical skills related to plastic fabrication, thermoforming, moldmaking, and casting. Students develop projects to introduce and develop skills in a variety of tools and processes. Background on the historical art contexts in which these materials and methods have come to importance will be presented in lectures and discussions. Prerequisites: Minor status in Sculpture OR Instructor Consent.
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3.00 Credits
This course is a continuation of ART/SCLPT 3410. The course offers studio assignments that question and solidify artistic vocabulary and studio work, with a strong emphasis on establishing serial works and complete artist portfolios. It is the student's responsibility to develop and maintain research skills, writing skills, and studio work. Curriculum includes regular seminar discussions and presentations based on assigned reading, local lectures, and visiting researchers. Contemporary issues and ideas in sculpture are a primary focus of these discussions. Prerequisites: 'C-' or better in SCLPT 3410 AND Minor status in Sculpture OR Instructor Consent
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3.00 Credits
Starting with basic mechanical and electronic theory, and progressing to include sensing, motion control and computer applications. Students explore the physical and conceptual aspects of machine making as a sculpture process. Prerequisites: Minor status in Sculpture OR Instructor Consent.
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3.00 Credits
The studio course explores the making of installations (art works which are environment-based rather than object-oriented). Class activities include discussions and slide lectures investigating different variables in installation including the manipulation of site, space, sound and experience. Through the construction of environments, students explore site specific, multimedia, new media, collaborative and cross-disciplinary approaches to art making. Prerequisites: 'C-' or better in SCLPT 4410 AND Minor status in Sculpture OR Instructor Consent
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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
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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.
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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
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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
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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 in (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 The College of Mines and Earth Sciences
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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 in (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 The College of Mines and Earth Sciences)
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