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CMPT 150: Math & Tech of Ent. Arts
3.00 Credits
Westminster College (Salt Lake City)
Explore the math and technology behind computer animation and video game design. Ever wonder while watching a movie: "How did they do that?" Students will learn the mathematical and computational theory behind image processing, 2D and 3D computer graphics and special effects. This seminar will discuss the progress of computer graphics research over the last fifty years. (WCore: WCSAM, QE)
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CMPT 200: Special Topics
1.00 Credits
Westminster College (Salt Lake City)
A special topics course covering new or specialized courses in Computer Science. Prerequisites will vary with course content.
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CMPT 201: Intro to Computer Science
4.00 Credits
Westminster College (Salt Lake City)
Introduction to programming fundamentals, including problem-solving skills, program design, object-oriented programming, coding, testing, and debugging using the Java programming language. Three lectures and one two-hour lab. Co-requisite: MATH 105 and current computer literacy skills. Offered every Fall semester.
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CMPT 202: Intro to Data Structures
4.00 Credits
Westminster College (Salt Lake City)
An exploration of data structures including stacks, queues, trees, and dictionaries, and a comparison of the algorithmic efficiencies based upon their implementations. Three lectures and one two-hour lab. Prerequisites: CMPT 201. Offered every Spring semester (4)
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CMPT 212SC: Robotics
2.00 Credits
Westminster College (Salt Lake City)
This course introduces students to basic computer programming, engineering, and technology through the use of robotic kits. Students use industry standard programming language and methods to construct robots and program them to achieve certain tasks. Students work in teams to master this challenge and learn teamwork and cooperation as they decide how to best build and program their robot.
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CMPT 215: Emerging Scholars
1.00 Credits
Westminster College (Salt Lake City)
An invitation-only, seminar-style course for students enrolled in CMPT 201. Students will work through challenging, non-textbook activities that reinforce the computer science concepts that are keys to success in CMPT 201. Prerequisites: Enrolled in CMPT 201 and instructor permission. -1
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CMPT 251: Computer Systems & Programming
4.00 Credits
Westminster College (Salt Lake City)
An examination of a computer system from the programmer's perspective. We examine how your programs interact with the compiler, the assembler, the operating system, and the hardware. Such study helps explain how to write more efficient software. We will introduce and use the C programming language, the UNIX operating system, and Intel assembly. Offered every Fall semester. Prerequisites: CMPT 201. (4)
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CMPT 300: Special Topics
1.00 Credits
Westminster College (Salt Lake City)
A special topics course covering new or specialized courses in Computer Science. Prerequisites will vary with course content.
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CMPT 300A: Creative Electronics Workshop
2.00 Credits
Westminster College (Salt Lake City)
This hands-on course challenges you to design, build, test, and demonstrate an electronics project that you will build in small groups. We will combine electronics and software with your creativity. We will work with small (single-board) computers or microcontrollers (such as Arduinos, Pis, Adafruits or Particles) as the brains to control circuits that use sensors (touch, mechanical, light) and actuators (motors, lights, speakers) in creative ways. Your project might work with light, music, motion, etc., to reflect your interests such as art, communication, entertainment, gaming, monitoring, or robotics.
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CMPT 300B: Introduction to Data Mining
4.00 Credits
Westminster College (Salt Lake City)
Data mining techniques explore and analyze large volumes of data using modern algorithms. The goal of data mining is to automatically discover useful information or meaningful patterns from large data sets. In this course, we will introduce the tasks, processes, algorithms, and applications of data mining. We will use Python and Weka to implement algorithms. Topics include Data Preprocessing, Data Exploration, Classification, Clustering, Association Analysis, and Anomaly Detection.
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