An overview of math topics used in engineering courses: algebra, trigonometry, vectors, complex numbers, sinusoids, systems of equations, matrices, differentiation, integration, differential equations. All math topics are presented within the context of engineering applications, reinforced through examples from engineering courses. Also introduces the engineering analysis software MATLAB. Three classroom, three lab hours per week.
4 Credit Hours
This practical, hands-on course introduces participants to the basic concepts, tools, materials, processes, and skills required to safely hand solder through-hole and surface mount chip components according to industry standards. Two classroom, three lab hours per week.
3 Credit Hours
Utilization of general/specialized hand/power tools that are typically used in the electromechanical industry; use of various dimension measurement devices; simple machine repair procedures from belt replacement to complete subsystem repair; drilling, reaming and tapping holes for various mechanical fasteners. Elementary industrial machine wiring principles; schematics, panel layouts, assembly and wiring techniques. One classroom, two lab hours per week.
2 Credit Hours
Introduction to nanotechnology and its application to engineering systems, emphasizing basic principles, materials, measurement tools, fabrication techniques, and applications. Two classroom, two lab hours per week.
3 Credit Hours
Presents an overview of the Intelligence Community (IC), the origin and purpose of the IC, its current structure and the diverse roles and missions of its members. Students will study the intelligence cycle, the heart of the IC, by examining the entire process used for creating intelligence: identifying requirements; tasking appropriate agencies and systems to collect data; the processing, exploiting and analyzing of the data and the production and delivery of timely, accurate and relevant intelligence products. This course will also introduce students to operations and communications security, counterintelligence and covert action, homeland security, intelligence oversight and ethics. Two classroom, two lab hours per week.
3 Credit Hours
This course emphasizes the science, technology and applications of remote sensing, bringing together related information in materials science, physics, optics, electronics, computer processing and other disciplines. Students completing this course will be equipped to approach problems ranging from environmental to social to industrial data gathering and interpretation. Two classroom, two lab hours per week.
3 Credit Hours
This course serves as an introduction to automated systems. The basics of sensors, logic control systems, motion control systems, robotics and flexible manufacturing systems will be covered. The course will be taught using demonstration and discussion combined with individual and team centered project-based learning. One classroom, four lab hours per week.
3 Credit Hours
Introduction to basic sensors used in Computer Integrated Manufacturing (CIM) systems. Theory of operation, wiring, installation, testing and troubleshooting sensors and circuits. The analysis of various methods of utilizing vision systems in industrial applications using camera, lighting and software. Two classroom, three lab hours per week.
3 Credit Hours
Concepts of spectral remote sensing as they are applied to military / intelligence applications with special emphasis on commercial sensors and solutions. Advantages and disadvantages of special remote sensors. Content will cover available unclassified spectral instruments (both hyper-spectral and multi-spectral sensors), their characteristics and how to best employ them. Topics include Basic Spectral Phenomenology, the Spectral Signature, Sensor Analysis, Data Products and Data Fusion. Two classroom, two lab hours per week.
3 Credit Hours
Capabilities and limitations of radar, the performance and implementation of its critical sub-systems and the requirements particular radars must meet in order to perform common Measurement and Signature Intelligence (MASINT) and Advanced Geospatial Intelligence (AGI) missions (e.g. Synthetic Aperture Radar (SAR), Line of Sight and Over the Horizon). Students will become conversant in Radar and able to exploit its use in a variety of potential intelligence tasks with a basic knowledge enabling them to predict the expected performance of a radar system. Two classroom, two lab hours per week.
3 Credit Hours
This course is designed to familiarize the student with the concepts of electro-optical remote sensing of important objects that can appear anywhere in the world without warning for a limited period of time. Some of these objects can also be rapidly moving. Such objects include missiles and aircraft in powered flight, nuclear and conventional explosions, fires and other military activity. Discussion includes the unique object signature and sensor characteristics that make detection of these objects possible while continuously monitoring large areas. Two classroom, two lab hours per week.
3 Credit Hours
Overview of Measurement and Signature Intelligence (MASINT) and Advanced Geospatial Intelligence (AGI) disciplines including the science behind geophysical signatures such as Chemical, Biological, Radiological and Nuclear Weapons. MASINT as it relates to Seismic and Acoustic phenomena, Geophysical Materials and Radio Frequency Spectrum. Different technologies used in lethal and nonlethal Directed Energy Weapons identifying strengths and vulnerabilities of electromagnetic and chemically powered artillery. Students will apply MASINT/AGI collection and processing techniques and capabilities to develop a collection and analysis plan targeting one of today's challenging intelligence problems. Two classroom, two lab hours per week.
3 Credit Hours
Fundamentals and basic applications of fluid power components, systems, controls and accessories. The design parameters and the terminology required to specify and plan fluid power systems. Basic electrical and Programmable Logic Control (PLC) control of fluid power components. One classroom, three lab hours per week.
2 Credit Hours
Binary systems, Boolean algebra, combinational and sequential circuits, digital design using computer-aided design (CAD) tools with hardware description language. Laboratory exercises include simulation using CAD tools and implementation of designs on breadboards and on field-programmable-gate-array boards. This course is designed for Engineering University Transfer students. Three classroom, three lab hours per week.
4 Credit Hours
Principles of linear circuit analysis, covering circuits containing passive and active components. Analysis of direct-current (DC) and alternating-current (AC) circuits, including transient behavior and sinusoidal steady-state behavior. This calculus-based course is designed for Engineering University Transfer students. Three classroom, three lab hours per week.
4 Credit Hours
Introduces a basic understanding of communication systems for today's technology. Both analog and digital communication systems will be covered. Topics include amplitude and frequency modulation, baseband communication, digital transmission, noise and error correction, and layer network models. Two classroom, two lab hours per week.
3 Credit Hours
This course is designed to develop an understanding of the materials, devices, and processing techniques used in the current semiconductor industry. The current manufacturing processes in the silicon-based semiconductor industry, starting from silicon wafer production to final IC (integrated circuit) development, are covered. Three classroom, three lab hours per week.
4 Credit Hours
Discussions and examples of applications of nanotechnology in Biology, Physics, Chemistry, Medical, Material Science, and Engineering. Introduction to nanofabrication tools, clean room and scanning electron microscope (SEM) via remote lab demonstrations.
3 Credit Hours
Concept of troubleshooting and its importance in manufacturing systems. Troubleshooting philosophies, flowchart examination, electrical and mechanical troubleshooting. Techniques for troubleshooting systems containing sensors, PLCs, Robots, HMIs and other common automation equipment. Fault determination using software to monitor the performance of small automated systems. Two classroom, three lab hours per week.
3 Credit Hours
Teaches the student theory of controller operation, function of power inputs and supply units, command and feedback loops. Also, troubleshooting, diagnostics and repair including removal and replacement of belts, pulleys, bearings and gears. Finalizing with alignment and recalibration through the computer controller. Two classroom, three lab hours per week.
3 Credit Hours
Introduction to Teach Pendant Programming (TPP) for robots, including TPP program development on the teach pendant and through offline programming software. Programs, tested using Fanuc robots, will be written for motion control, input/output activation and palletizing. Two classroom, three lab hours per week.
3 Credit Hours
Data acquisition technologies with the use of bar coding, image recognition, optical character recognition, Charge Coupled Device (CCD) camera images, laser scanning, voice recognition, radio frequency and microwave transponder. Two classroom, two lab hours per week.
3 Credit Hours
Solve representative engineering problems with a focus on: writing in object-oriented style, computer control of input/output port control, stand-alone executable code and library linking. Computer solutions of engineering problems using C and C++ incorporating compiling, running, editing and debugging techniques along with language-specific functions, array and pointer structures and stream I/O. Three classroom, three lab hours per week.
4 Credit Hours
Students earn credit toward degree requirements for work learning experience. Students already working may apply to use that experience to meet internship requirements. Students establish learning outcomes and prepare related reports and/or projects each semester. Ten hours work per week per credit hour.
1 - 4 Credit Hours
Students will earn credit toward degree requirements for work learning experience for a second semester. Students already working may apply to use that experience to meet internship requirements. Students establish learning outcomes and prepare reports and/or projects each semester. Ten hours work per week per credit hour.
1 - 4 Credit Hours
Students earn credit toward degree requirements for work learning experience. Students already working may apply to use that experience to meet internship requirements. Students establish learning outcomes and prepare related reports and/or projects each semester. Ten hours work per week per credit hour.
1 - 4 Credit Hours
Students earn credit toward degree requirements for work learning experience. Students already working may apply to use that experience to meet internship requirements. Students establish learning outcomes and prepare related reports and/or projects each semester. Ten hours work per week per credit hour.
1 - 4 Credit Hours
Students earn credit toward degree requirements for work learning experience. Students already working may apply to use that experience to meet internship requirements. Students establish learning outcomes and prepare related reports and/or projects each semester. Ten hours work per week per credit hour.
1 - 4 Credit Hours
Students earn credit toward degree requirements for work learning experience. Students already working may apply to use that experience to meet internship requirements. Students establish learning outcomes and prepare related reports and/or projects each semester. Ten hours work per week per credit hour.
1 - 4 Credit Hours
Project-based review of robotic workcell system design, layout and integration of related industrial systems, and skills from the following areas: robots and programming languages, electronic systems, component installation, troubleshooting, mechanical repair and preventative maintenance. Additional focus on graphics, work processing, analytical and simulation tools, assembly, testing, troubleshooting and repair of a functional robot workcell. One classroom, four lab hours per week.
3 Credit Hours
Project-based review of electro-mechanical system design, layout and integration of related industrial systems, and skills from the following areas: robots and programming languages, electronic systems, component installation, motors, troubleshooting, mechanical design, mechanical repair and preventative maintenance. Additional focus on schematics, teamwork and communications, analytical and simulation tools, assembly, testing, troubleshooting and repair of a functional electro-mechanical device. One classroom, four lab hours per week.
3 Credit Hours
Varied content offering of special interest to the discipline but not covered within existing courses; may be scheduled in a classroom/seminar setting or in nontraditional format.
0.5 - 9 Credit Hours
This hands-on course will teach PLC distributed networking and communication utilized in advanced manufacturing. Concepts such as modern system architecture techniques and implementation of cybersecurity defense-in-depth will be examined. Two classroom, two lab hours per week.
3 Credit Hours
This is a continuation into the investigation of modern communications systems. Topics include an introduction to the American Radio Relay League (ARRL), antennas, propagation methods, wireless systems, telephony, networking, and related components. Two classroom, two lab hours per week.
3 Credit Hours
This practical hands-on course examines embedded design of microcontrollers and advanced communication/network/security/wireless applications for IoT systems and sensors. Two classroom, two lab hours per week.
3 Credit Hours
This practical hands-on course explores Industry 4.0 related robotics with respect to the high-tech Supply Chain/Logistics and Advanced Manufacturing industries. Modern technology, security, and communications will be explored as it applies to the fast-changing field of robotics. Two classroom, two lab hours per week.
3 Credit Hours