Course Descriptions

Smart Systems Technologies (SST) Courses

SST 116 Introduction to Careers in High-Tech Ecosystems (FYE) (3-0) 3 credits

The purpose of this First Year Experience course is to introduce students to the emerging technologies careers as observed at site visits of area high technology businesses, and made tangible in class through hands on-experiences with tools (LabVIEW) and techniques used in the curriculum. Students practice industry recommended soft-skills such as communication and team work. The seminar helps students see how other courses, such as mathematics and physics, play a critical role in the AAS Instrumentation and Control Technologies degree program. Students learn to articulate the relevance of the curriculum for local and regional economic development based on high technologies. Prerequisite: MAT 097  View Course Syllabus Adobe Acrobat, PDF

SST 174 Computing with Smart Systems (1-2) 2 credits

This is a computational course focused on developing and implementing algorithms for monitoring and control of engineering systems using LabVIEW, MATLAB, C and Python software. Topics covered include: problem solving, data acquisition, instrumentation and control, computer programming concepts, and spreadsheet concepts.  View Course Syllabus Adobe Acrobat, PDF

SST 231 Smart Systems Technologies (2-2) 3 credits

The 4th industrial revolution of cyberphysical systems, also known as Industrial Internet of Things (IIOT), is emerging from the 3rd industrial revolution spanning past 50 years which combined use of computers with robots. Students are introduced to characteristics of cyberphysical smart systems; and the role automation technologists play in prototyping, installation and maintenance of diverse systems in industrial ecosystems. Emerging smart systems technologies such as additive manufacturing, nanotechnology, MEMS, photonics, smart manufacturing, industrial cybersecurity, bigdata, artificial intelligence, and augmented virtual reality will be introduced. Student learn how the automation of data acquisition, analysis and control is essential for R&D as well as in digital transformation of industrial environments. The main topics covered are sources of signals, selection of appropriate transducers, and signal conditioning needed before signal is converted to digital format for cyberphysical data acquisition as required inputs for smart system technologies. Prerequisite MAT 152 or placement in Math Level 4, SST 174, TECH 122, TECH 123  View Course Syllabus Adobe Acrobat, PDF

SST 232 Cyberphysical Automation Control I (3-2) 4 credits

In the first level of Cyberphysical Automation Control, students are introduced to control tools and techniques used in automation using microcontrollers, programmable logic controllers, and programmable automation controllers. Students will apply concepts and techniques to a team-based case study project to solve problems encountered in high technology businesses. The course prepares students for Automation Control II. Prerequisite: MAT 152 or placement into Math Level 4, PHY 118, SST 174, TECH 122, TECH 123  View Course Syllabus Adobe Acrobat, PDF

SST 233 Introduction to Process Improvement (3-0) 3 credits

The basis of this course is Lean Six Sigma techniques. Students learn the history of Six Sigma, introduced to industry in the late 1980’s, as a methodology that focuses on minimizing process variation. The course also covers Lean, a process that focuses on eliminating waste and streamlining operations. Lean Six Sigma, a more recent technique combines the two processes. Students are prepared for the data driven decisions they will make in their careers in the Cyberphysical industry, as Lean Six Sigma provides a powerful tool to make improvements in any business.  View Course Syllabus Adobe Acrobat, PDF

SST 234 Cyberphysical Automation Control II (3-2) 4 credits

Students in this capstone class prepare to take part in a technological co-op experience in a local company. Students will apply concepts and techniques of mechatronics and machine vision in order to complete a team-based case study project to solve problems encountered in high technology businesses. Prerequisite: SST 231, TECH 123  View Course Syllabus Adobe Acrobat, PDF

SST 250 Cyberphysical Automation Technology Co-op 6 credits

The co-op program enables technology students to supplement academic studies with work experience. The student will be employed in either full-time or part-time employment for a minimum of 270 work hours. Prerequisite: Permission of Instructor  View Course Syllabus Adobe Acrobat, PDF

SST 259 Cyberphysical Technology Special Project (6-0) 6 credits

Students will complete industry specific projects under direction of instructors and/or industry mentors, to prepare for careers across diverse industries. Examples of projects include study of robotic systems, alternative energy system, fuel cells, quality improvement in manufacturing, radio-frequency communication systems, vibration study geared towards preventive predictive maintenance, wearable devices, VR, AVR, AI, Big Analog Data, and Industrial Applications of Machine Learning. Prerequisite: SST 232, Permission of Instructor  View Course Syllabus Adobe Acrobat, PDF