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.
Description: Introduction to the skills and competencies required to be an Industrial and Systems Engineer. Topics will include an introduction to organizational structure and lean processes, lean process development and improvement, data analysis and problem-solving, and teamwork. Integration of leadership and management methods within these skills is also introduced. Two classroom, two lab hours per week.
Description: Student will learn and be able to apply the various measurement techniques involving basic measuring instruments and tools such as calipers, micrometers, height and depth gauges, dial and test indicators, and gauge blocks; correct use and care of basic inspection instruments. Drawing or blueprint reading including an introduction to GD&T inspection techniques will be presented. Coordinate Measuring Machines (CMM) and other precision measuring equipment will be introduced. Two classroom, two lab hours per week.
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.
Notes: FALL ONLY
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)
Term hours subtotal:
15
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.
Notes: SPRING ONLY
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.
Notes: SPRING ONLY
Prerequisites: ISE 1101
Description: Course will prepare students to use and program coordinate measurement machines, apply Geometric Dimensioning and Tolerancing (GD&T) principles, and use advanced operating techniques for a servo driven coordinate measuring device. Two classroom, two lab hours per week.
Notes: SPRING ONLY
Prerequisites: ISE 1300
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.
Notes: SPRING ONLY
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 com.dept@sinclair.edu.
Term hours subtotal:
15