30 courses with the subject EET, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
The main objective of this course is to introduce the basic concepts and the fundamentals of Engineering Technology (ET). Students are introduced to the four tracks (electrical, mechanical, industrial, and biomedical) in ET and work on the selected topics designed to enhance the problem solving techniques.
Introduction to the key electrical terms, basic laws and theorems of electric circuits by concentrating on Direct Current (DC) circuit analysis, power, and energy.
Introduction to time domain (transient) analysis of R, L, C elements and energy storage in L and C circuits. The response of source-free RL, RC, and RLC circuits are developed followed by response to constant voltage and current sources.
The course is an introduction to the physical, chemical and biological principles of nanotechnology. The course provides information on prevalent nanofabrication methods and materials, and familiarizes the students with the tools of nano measurements. The history, societal impact and the involvement of nanotechnology in everyday life are also discussed.
The objective of this course is to introduce AET students to fundamentals of digital electronics starting with the binary number system and proceeding to logic gates, Boolean algebra, combinational logic circuits, and the basic arithmetic units used in digital computers such as adders, counters and shift registers.
Students are introduced to linear circuit analysis of passive and active semiconductor components, modeling of non-linear circuit elements, light and heat-dependent semiconductor devices, biasing of three-terminal devices, and semiconductor small-signal models.
This course introduces students to programming techniques used to control laboratory experiments and industrial processes. The emphasis is on applications of LabView and C in real-world measurements and embedded systems.
This course introduces students to programming techniques used in embedded systems. The emphasis is on applications of C in real-world measurements, analysis, and embedded systems.
This course introduces students to programming techniques used to monitor and control laboratory experiments and industrial processes. The emphasis is on applications of LabVIEW in real-world measurements and embedded systems, as well as on the practical aspects of interfacing a computer to various instruments including timing issues, real-time data acquisition and instrument control, instrument status, and acquisition speed.
This course introduces core concepts of Artificial Intelligence (AI) with a focus on practical implementation in engineering technology applications. Students will explore foundational AI topics such as search algorithms and machine learning methods, and apply these techniques to solve real-world engineering problems. The course covers the structure and function of artificial neural networks, including deep and convolutional neural networks, with emphasis on applications in image processing, system monitoring, and fault detection. Students will also gain hands-on experience with fuzzy logic systems and their use in control and decision-making processes. Additionally, the course introduces genetic algorithms and their biologically inspired mechanisms for solving optimization problems in engineering contexts.
Fundamentals of single-phase and three-phase power systems; introduction to symmetrical components and sequence impedances; power transfer modeling; the per-unit system; power transmission line impedance and admittances.
This course introduces students to nanotechnology materials, devices, and processes from the perspective of product development and process engineering, manufacturing scale-up, quality assurance, and reliability. Laboratory projects provide students with hands-on experience in fabricating and characterizing nanomaterials and nanodevices, and their applications for renewable energy, solid-state lighting, novel functional materials, and biomedical engineering.
Course introduces students to development and application of ordinary differential equations to systems analysis with emphasis on electrical systems. Particular attention is paid to the derivation of differential equations from given practical circuits used in industrial applications.
Course introduces students to applications of the systems analysis to the design of useful circuits and devices used in industrial applications. Covers time and frequency domain circuit analysis (transfer function, convolution) to determine response of the system to the arbitrary input.
Students are introduced to four-layer diodes, power amplifiers, differential amplifiers, linear and non-linear operational amplifiers, feedbacks, oscillators, and active filters. Class discussions include practical circuits, troubleshooting, and case studies.
Introduces the fundamentals of programmable logic controllers, and PLC application in process control. The course includes both lecture and laboratory aimed at applying fundamental principles to practical projects. The emphasis is on the basics of ladder logic, including timers, counters, and program control.
This course provides an introduction to energy systems and renewable energy resources, with a scientific examination of the energy field and an emphasis on alternate energy sources and their technology and applications. The class explores society's present needs and future energy demands, examines conventional energy sources and systems, including fossil fuels and then focuses on alternate, renewable energy sources such as solar, wind power, geothermal and fuel cells.
The course covers the fundamentals and the principles of electrical machines and transformers, with an emphasis on their application and installation. The course covers transformer, dc, ac and special machines. Novel energy conversion techniques such as Fuel Cell and Batteries are also discussed.
This course covers the basics of industrial systems, including safety, grounding, protection, lighting, distribution, commonly found in residential, commercial and industrial environment. The course formulates the application of standards and codes such as NEC, NEMA and IEEE.
The course covers the basics of the industrial and power electronics over a spectrum of applications and provides an introduction to the emerging technologies in these fields. The course is accompanied by laboratory using hardware and software simulation tools.
Introduces student to fundamentals of microprocessing using an application-oriented approach. Includs fundamental principles and system requirements supplemented with specific implementation examples and practical circuits with detailed design considerations.
The course presents principles of Ultrasound Nondestructive Evaluation (NDE) of Materials combining hands-on laboratory experience with lectures. Students learn the physical principles and fundamentals of ultrasound material characterization. Students also learn industrial applications of NDE techniques and procedures and become familiar with detection and characterization of defects in materials, such as flaws and cracks.
The course presents principles of acoustic emission using practical applications in various industries. Physical principles of acoustic emission generation, propagation and detection in engineering materials and structures are presented. This includes principles of stress and strain and the underlying materials science of material deformation, crack growth and failure. Students learn how these principles are utilized to build technical applications of acoustic emission considered as an NDE method.
The course is an introduction to microcontroller hardware and software with an emphasis on embedded control applications. Topics covered include microcontroller architectures, programming, analog and digital input/output, timing, debugging and PC-based software development tools.
The course covers fundamental of control theory and their applications, including, linear systems and feedback, linear system operation and stability, standard methods applicable to the linear systems and basic for designs and applications.
Introduces the analysis of electric circuits under steady sinusoidal conditions, applications of Laplace transformation and complex frequency analysis, and Fourier analysis for representing an arbitrary time function as a sum of sinusoidal functions.
This course introduces AET student to fundamentals of Communication Systems using an integrated approach to analog and digital communications. Design and applications of contemporary communication systems are emphasized via the reduction theory to practice.
The course covers the basic principles of the power systems, electric grid, methods to analyze electric grid systems and basic power system protection and stability.
This course introduces ET students to fundamentals of optics and optical systems using an application-oriented approach. Special attention is given to fundamental principles of optical systems and their requirements supplemented with specific applications-based examples.
This course is a survey of the electronics industry including the science, technology, economics and business of electronics manufacturing. The aim is to provide students with a working knowledge of how electronic products are made starting with basic ‘feedstock’ materials and producing sophisticated electronic components and systems. The course covers electronic materials, integrated circuit manufacture, packaging, electronics assembly (printed circuit boards), and testing, as practiced in industry.
Source: Drexel University's catalog, linked per course · table learning_unit · CourseShelf publish 59
