This Sample Program Pathway is designed to provide an example of course selections in a term by term sequence. Please see an Academic Advisor for a plan specific to your academic needs.
Prerequisites: ISE 1300
Description: The course focuses on the study and interpretation of the graphic language used in manufacturing and engineering. This will include principles of: shape description, axonometric projection, specifications, symbology and spatial relationships.The student will apply problem solving and critical thinking skills using both standard and automated communication methods. Two classroom, two lab hours per week.
Description: Polynomial, radical, rational, exponential and logarithmic functions and their graphs; roots of polynomial functions, rational and polynomial inequalities; systems of linear and nonlinear equations; matrices; and applications. Traditional testing (proctored or in Testing Center) is used in all online sections. Note: Students who have not completed the required pre-requisite courses listed, but have successfully completed MAT 0200 with a grade of "C" or better, can register for MAT 1470 together with the co-requisite course MAT 0470, College Algebra Booster.
Notes: Or MAT-1580 Pre-Calculus
Prerequisites: MAT 0300 and Other (with a grade of C or better or satisfactory score on math placement test)
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Description: Develop robust solutions to problems or develop opportunities for continuous improvement using the Plan-Do-Check-Act cycle as the base methodology. Quality concepts such as root cause analysis (5-Why and Fishbone Diagrams), graphical and data analysis tools (Pareto Charts, Run Charts and Scatter Graphs), and Statistical Process Control and Capability (Control Charts, Histograms, Process Capability) will be used. Learn the differences between Common Cause and Assignable Cause Variation and how they apply to Continuous Improvement. Two classroom, two lab hours per week.
Prerequisites: ISE 1101 and MAT 1570 or MAT 1580
Description: Lean operations principles including lead time reduction, standardized work, visual controls (5S), takt time, module design, setup reduction, Kanban, value stream mapping, total productive maintenance (TPM), and Office Lean will be used to eliminate process waste and to reduce excess inventory. Two classroom, two lab hours per week.
Prerequisites: ISE 1101
Description: Application of statistics as they apply to process control and improvement. Topics covered include Descriptive Statistics, Control Charts, Histograms, and Process Capability Indexes. Advanced statistical topics for process optimization and problem solving include Analysis of Variance (ANOVA), Design of Experiments, Measurement System Analysis, and Hypothesis Testing. Two classroom, two lab hours per week.
Description: An applied introduction to the Six Sigma process using the DMAIC (Define, Measure, Analyze, Improve, and Control) system as the model. Structured problem solving and basic statistical methods will be taught to ensure a thorough analysis and implementation to reduce costs and improve business processes. Various quality tools (Pareto, Cause and Effect Diagram, Control Charts, Histograms, and Flow Charts) are used during the improvement process. Two classroom, two lab hours per week.
Description: Designed to improve speaking and listening skills through the study and application of public speaking structure, content and style. This course requires 5 speeches in front of a live audience. The online course sections require the recordings to be created by the student with at least 8 adults present for each speech. Any questions, please contact the Communication Department at email@example.com.
Prerequisites: DEV 0035 or Other (Any other college level English course)
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