Course Descriptions

This course is designed to offer students an opportunity to focus in-depth on a particular thematic area in the social sciences. The topic and content will vary from year to year. Specimen topics might include Justice in America, History of the Supreme Court, The Vietnam Era 1954-75, Tourism Anthropology, Women and Society or Sports in Society. This course is open to all students and community members interested in a particular seminar topic.

• Social Science
• 3 Credit(s)
• (3) Contact Hour(s)

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: Take MAT-097;

• Smart Systems Technologies
• 3 Credit(s)
• (3) Contact Hour(s)

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.

• Smart Systems Technologies
• 2 Credit(s)
• (1-2) Contact Hour(s)

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: Take TECH-122, TECH-123 and SST-174 with a Minimum grade of C-.,Take MAT-152 or Placement into Math Level 4.

• Smart Systems Technologies
• 3 Credit(s)
• (2-2) Contact Hour(s)

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: Take PHY-118, TECH-122, TECH-123 and SST-174 with a Minimum grade of C-;,Take MAT-152 or Placement into Math Level 4.

• Smart Systems Technologies
• 4 Credit(s)
• (3-2) Contact Hour(s)

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.

• Smart Systems Technologies
• 3 Credit(s)
• (3) Contact Hour(s)

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: Take TECH-123 and SST-231 with a Minimum Grade of C-.

• Smart Systems Technologies
• 4 Credit(s)
• (3-2) Contact Hour(s)

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.

• Smart Systems Technologies
• 6 Credit(s)
• (6) Contact Hour(s)

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: Take SST-232 with a Minimum Grade of C-.

• Smart Systems Technologies
• 6 Credit(s)
• (6) Contact Hour(s)

Today's engineering and technology fields and the multifaceted role of the technologist will be explored. Orientation to student services, academic policies, stress management, science study skills, time management, and other college survival skills will be presented. Additional topics of study include applied mathematics, use of scientific calculators, teamwork and problem solving skills in the classroom and laboratory, and an introduction to the physical units and dimensions encountered in the technologies.

• Technology
• 2 Credit(s)
• (3) Contact Hour(s)

An algebra based electric circuit analysis course. Topics include: voltage, current, resistance, Ohm's law, resistor combination, Kirchhoff's laws, power, source conversion, capacitance, relays, microcontrollers, and residential wiring. Computer analysis of circuits introduced. Lab applies classroom theory, teaches use of multimeters and power supplies, and introduces the oscilloscope, breadboarding, schematic reading and troubleshooting. Prerequisite: Take MAT-145 or Placement into Math Level 3.

• Technology
• 3 Credit(s)
• (2-3) Contact Hour(s)

This course focuses on the theory and application of digital devices and circuits. Topics investigated include digital signals, binary number systems, Boolean algebra and Karnaugh mapping circuit reduction techniques. Digital devices/circuits tested include basic logic gates, flip-flops, counters, adders, registers, encoders, decoders, multiplexers, demultiplexers, and analog-digital converters. The course will also provide an introduction to microcontrollers and applications. Prerequisite: Take MAT-145 or Placement into Math Level 3.

• Technology
• 3 Credit(s)
• (2-3) Contact Hour(s)

The automation of data acquisition is essential for measurements in R&D as well as industrial environments where massive amounts of data are collected, especially when the data are to be collected much more rapidly than what is possible manually. The main topics covered are sources of signals, selection of appropriate transducers, and signal conditioning needed before signal is converted to digital format for computer controlled data acquisition and analysis. Students will complete a team-based case study project in which they will define and develop an innovative data acquisition solution using appropriate hardware and software tools. Prerequisites: ESC 174, MAT 152 or placement into Math Level 4, TECH 122, TECH 123. Prerequisite: take ESC-174, TECH-122, TECH-123; minimum grade C-;

• Technology
• 3 Credit(s)
• (2-2) Contact Hour(s)

Control tools and techniques used in automation are introduced using Microcontrollers, Programmable Logic Controllers, and Programmable Automation Controllers. Students will apply concepts and techniques learned to complete a team based case study project to solve problems encountered in high technology businesses. Prerequisites: ESC 174, MAT 152 or placement into Math Level 4, PHY 109 or TECH 122, TECH 123. Corequisite: TECH 231. Prerequisite: take ESC-174, PHY-109 or TECH-122, TECH-123; minimum grade C-; Take TECH-231

• Technology
• 4 Credit(s)
• (3-2) Contact Hour(s)

Six Sigma techniques, introduced to industry in the late 1980's, facilitate using data driven decisions to reduce defects, drive down costs and increase efficiency. Six Sigma is a methodology that focuses on minimizing process variation, thereby enabling the process to operate more smoothly and efficiently. The technique uses data based decisions for process and product improvements. Lean is a process that focuses on eliminating waste and streamlining operations. Lean Six Sigma, a more recent technique combines the two processes. Data driven decisions are still present, but the emphasis on speed for the process improvement is key. Combining these two methods into Lean Six Sigma provides a powerful tool to make improvements in any business. Prerequisites: ENG 101 and MAT 152 or placement into Math Level 4. Prerequisite: take ENG-101; minimum grade C-;

• Technology
• 3 Credit(s)
• (3) Contact Hour(s)

Control tools and techniques used in automation are developed using Mechatronics (automated motion control) and Industrial Machine Vision (acquisition, processing and use of images in automation control). Students will apply concepts and techniques learned to complete a team based case study project to solve problems encountered in high technology businesses. Prerequisites: TECH 231 and TECH 232 Prerequisite: take TECH-231, TECH-232; minimum grade C-;

• Technology
• 4 Credit(s)
• (3-2) Contact Hour(s)

The co-op program enables the technology student to supplement academic studies with work experience. The student will be employed a minimum of 135 work hours (3 credits) or 270 work hours (6 credits) per semester (either full-time or part-time employment). Enrollment is limited to technology students. Prerequisite: Faculty approval.

• Technology
• 3 Credit(s)
• (3) Contact Hour(s)

• Technology
• 3 Credit(s)
• (3) Contact Hour(s)

Students learn about, and perform, work on theatrical production. Shop and studio work is complemented by lectures and demonstrations on the technical components of a theatre production. Topics covered include: designers and their functions; scenic and costume construction techniques; stage rigging, hardware and material; sound; stage procedures and safety. Simple drafting projects and the ability to read floor plans and stage elevations are stressed.

• Theater
• 3 Credit(s)
• (3) Contact Hour(s)

This course requires students to translate a visual concept into a design for the stage using the principles of composition and the basic elements of design and communicate that design both orally and visually. Emphasis is placed on the following areas of design: scenic, lighting, and costume. Secondary emphasis will be on make-up stage properties, projections, sound design, and the use of computers in the theatre. Work on technical crews for the department's production is required.

• Theater
• 3 Credit(s)
• (3) Contact Hour(s)