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Course Criteria
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3.00 Credits
Students will get an introduction to Python programming, data analysis tools, and the necessary statistics to acquire, clean, analyze, explore, and visualize data real-life data sets. Using statistics, students will learn to make data-driven inferences and decisions, and to communicate those results effectively.
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3.00 Credits
sStudents will learn to efficiently find structures and patterns in large data sets. Topics will include acquiring data sets and cleaning messy and noisy raw data sets into structured and abstract forms; applying scalable and probabilistic algorithms to these well-structured abstract data sets; and, formally modeling and analyzing the error inherent in these methods. Students will consider data representations and trade-offs between accuracy and scalability.
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3.00 Credits
This course in discrete mathematics covers Boolean algebra, logic and proof, sets and relations, functions, induction, recursion, enumerative combinatorics, elements of number theory, and graph theory.
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3.00 Credits
This course introduces the theory and application of machine learning, sometimes referred to as artificial intelligence. Students who take this course will understand and be able to deploy basic supervised and unsupervised learning techniques including" decision trees, neural networks, kernel methods, support vector machines, and probabilistic methods. The course will be taught using Python, R, Matlab, or a similar programming language.
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0.00 - 2.00 Credits
This course is designed to give basic math skills, if needed, in preparation for Applied Technical Math or Principles of Technology. The student will study basic math principles used in the CTE division classes. This includes addition, subtraction, multiplication, and division of whole numbers, fractions and decimals. Also included is the application of presicion and accuracy in problem solving as well as a study of the metric measuring system. Problem solving techniques are discussed along with percentages and averages.
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0.00 - 2.00 Credits
This is an introductory course for those interested in the world of manufacturing. It emphasizes the machine tool field and includes hands-on activities with metal cutting lathes and milling machines.
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0.00 - 2.00 Credits
This applied physics course covers scientific concepts of force, work, rate, resistance, energy, power, transformers, and mathematic computations necessary to perform experiemnts involving momentum as applied to mechanical, fluid, and electrical systems found in modern industry. Laboratory activities featuring measurement and instrumentation are emphasized.
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0.00 - 2.00 Credits
This applied physics course covers mathematic computations necessary to perform experiments involving scientific concepts of vibrations, energy, conversion, transducers, radiation, light, and time constants as applied to mechanical, fluid, and electrical systems found in modern industry. Laboratory activities featuring measurement and instrumentation are emphasized.
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0.00 - 3.00 Credits
This course is an introduction to reading and interpreting working drawings and prints for industrial processes and associated trades. Students will receive basic information on blueprints and written documents commonly found in industrial environments. The course is designed to allow the student to develop an understanding of the use of prints and an ability to read and interpret prints found in industrial settings.
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0.00 - 3.00 Credits
This course is for first semester students. It teaches the manufacture of metal parts using machine tool operations. Students learn the theoretical operations of the engine lathe, drill press, pedestal grinder, and vertical milling machine. The course includes lecture, discussion, and demonstrations.
Corequisite:
MTT 1125
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