Technology (TECH) Courses
TECH 116 Introduction to Emerging Technologies (3-0) 3 hrs.
The purpose of this "First Year Seminar" course is to introduce students to the emerging technologies careers as observed at site visits of area high technology businesses, and made tangible in classroom through hands on-experiences with tools (LabVIEW) and techniques used in the curriculum. Students will practice industry recommended soft-skills such as communication and team work. Students will learn how other courses including mathematics and physics are crucial for the AAS Instrumentation and Control Technologies degree program. Students will learn to articulate the relevance of the curriculum for local and regional economic development based on high technologies. Prerequisites: MAT 097 or placement into Level 2 Math or higher. View Course Syllabus
TECH 122 Electronic Theory (2-3) 3 hrs.
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: MAT 145 or placement into Math Level 3 or higher. View Course Syllabus
TECH 123 Digital Electronics (2-3) 3 hrs.
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: MAT 145 or placement into Math Level 3 or higher. View Course Syllabus
TECH 219 3D AutoCAD (2-4) 4 hrs.
Techniques for creating, viewing, plotting, and displaying 3D AutoCAD models will be presented. Lectures, demonstrations, and labs in a variety of in-depth application projects will enhance the student’s CAD creative ability and professional development. Topics include 3-D display, User Coordinate Systems, point filters, extrusion, surfaces, solid modeling, plotting, rendering, and software customization. Prerequisite: TECH 106. View Course Syllabus
TECH 231 Automation of Data Acquisition (2-2) 3 hrs.
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. Prerequisite: ESC 174, MAT 152 or placement into Math Level 4, TECH 122, TECH 123. View Course Syllabus
TECH 232 Automation Control I (3-2) 4 hrs.
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. View Course Syllabus
TECH 233 Introduction to Process Improvement (3-0) 3 hrs.
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. View Course Syllabus
TECH 234 Automation Control II (3-2) 4 hrs.
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. Prerequisite: TECH 231, TECH 232. View Course Syllabus
TECH 250 Technology Co-op 3-6 hrs.
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. View Course Syllabus
TECH 259 Special Projects (0-6) 6 hrs.
Student will complete special projects under direction of instructor with the goal of demonstrating integration of knowledge and skills related to instrumentation and control technologies curriculum. An alternative for those students who are unable to undertake or complete TECH 250 Technology Co-op. Prerequisite: TECH 232 and Instructor’s approval. View Course Syllabus