Course Search Results

  • 3.00 Credits

    Opportunity to offer courses in areas of departmental major interest not covered by the regular courses. This class is available for graduate credit.
  • 3.00 Credits

    Opportunity to offer courses in areas of departmental major interest not covered by the regular courses. This class is available for graduate credit.
  • 3.00 Credits

    Opportunity to offer courses in areas of departmental major interest not covered by the regular courses. This class is available for graduate credit.
  • 4.00 Credits

    An introduction to electric circuit analysis techniques, including DC and AC circuit analysis techniques. Students will learn Volt-ampere characteristics for circuit elements. Students will analyze circuits with independent and dependent sources. The course will also introduce Kirchoff's laws for voltage and current, Thevenin's and Norton's theorems. The course will also introduce transient response of resistor-capacitor (RC), resistor-inductor (RL), and resistor-inductor-capacitor (RLC) circuits. Students will also analyze signals at frequency to examine sinusoidal steady-state and impedance and to study both instantaneous and average power. Finally, students will use PSPICE to model the ideal behavior of these systems. Prerequisite:    MATH 212 (Grade of C or Higher) and (((PHYS 206 (Grade of C or Higher) and PHYS 125 (Grade of C or Higher)) or PHYS 222 (Grade of C or Higher))
  • 3.00 Credits

    This course provides an overview of the different mechanisms and instruments used to measure physical values such as temperature, pressure, flow, and force; that are common in modern industrial processes. The course provides background in the sources of measurement error and methods to compensate for them. Prerequisite:    PHYS 206 (Grade of C or Higher) or PHYS 222 (Grade of C or Higher)
  • 4.00 Credits

    Foundations of electronic systems including basic circuit theory, and fundamental and composite devices. Advanced circuit theory includes circuit analysis laws including KVL and KCL, lumped matter approach, and isomorphic analysis. Basic devices (e.g., resistors and capacitors) will be modeled and used to construct composite devices (e.g., transformer is constructed from two mutual inductors). Non-linear devices (e.g., transistors and diodes) will also be modeled and used to construct other basic systems (e.g., amplifiers, voltage regulators). Students will use and extend PSPICE to model the ideal behavior of these systems. Prerequisite:    MATH 212 (Grade of C or Higher) and PHYS 221 (Grade of C or Higher)
  • 4.00 Credits

    Signals and systems covers the basic concepts of signals and system modeling. Students will learn about the differences between time-domain and frequency domain representation of a signal and modes of analysis. Students will also learn about continuous and discrete signals analysis using a number of different techniques (e.g. Fourier Analysis). Students will use state of the art tools (e.g. MATLAB) to simulate and analyze systems that use signals propagation. Prerequisite:    MATH 322 (Grade of C or Higher)
  • 4.00 Credits

    Students will learn the principles of designing advanced circuits using state-of-the-art CAD tools to create a schematic within given engineering constraints, including factors such as functionality, physical limitations, cost, standard parts inventories, reliability, verifiability, signal integrity, and manufacturing complexity. Students will use advanced simulation tools to verify their designs. Students will learn about Printed Circuit Boards (PCBs), and will create a PCB layout for their schematic. Students will then use the lab facilities to manufacture their board, from blank copper plates to populated board. This board will then be inspected, verified, and reworked as needed. Finally, the student will learn how to use system programmers and debuggers to load their software onto the board, and deliver a completed system. Prerequisite:    CMPE 322 (Grade of C or Higher)
  • 3.00 Credits

    This is a study of the design and implementation of control systems used across a wide range of modern mechanical and electrical systems. This course explores the theory behind control systems allows us to effectively model their behavior, including frequency and time domain models of these systems. Both open- and closed-loop control systems are developed, with a special emphasis on the PID controller. Students will ultimately learn how to take measurements from a physical system and build a model of that system, develop a control system that meets engineering requirements, and then actually implement that control system using MATLAB. Finally, students will compare the theoretical results and the actual results of their control systems. Prerequisite:    ELEN 230 (Grade of C or Higher) or CMPE 322 (Grade of C or Higher)
  • 4.00 Credits

    Introduction to analog and digital communication systems. Emphasis on engineering applications of theory to communication system design. Students will study the basics of sampling and quantization, coding, signal detection, and digital modulation schemes including AM, FM, PAM, and PCM. Transmission of information and system performance in the presence of noise will be covered. Students will use state of the art tools such as MATLAB to analyze communication systems limited by bandwidth and noise. Prerequisite:    ELEN 310 (Grade of C or Higher)