The course requires students to work in small design teams to solve a significant engineering problem. Students develop, design, and implement a solution to the engineering problem in conjunction with a faculty advisor. The course reinforces principles of the engineering design process and serves as a capstone for electrical and computer engineering knowledge obtained in the ECE curriculum. The consideration of the ethical and social implications of technology and the basic concepts of business are also aspects of the course.

Not available at this time

With discussions and lab. Use of nonlinear devices such as diodes, field effect transistors (FETs), and bipolar junction transistors (BJTs) in the design of simple analog and digital circuits. Design projects make use of PSPICE. Prerequisites: grades of C or better in E&C-ENG 212 and 221.

Not available at this time

Mathematical models for analog circuit elements. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations and the Laplace transform. Solving RLC networks in both the time and frequency domains. Computer projects and circuit simulations using MATLAB, Excel, and PSpice. Limited to EE and CSE majors. Prerequisites: MATH 132, PHYSIC 151. Corequisite: MATH 331.

Mathematical models for analog circuit elements. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations and the Laplace transform. Solving RLC networks in both the time and frequency domains. Computer projects and circuit simulations using MATLAB, Excel, and PSpice. Limited to EE and CSE majors. Prerequisites: MATH 132, PHYSIC 151. Corequisite: MATH 331.

Mathematical models for analog circuit elements. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations and the Laplace transform. Solving RLC networks in both the time and frequency domains. Computer projects and circuit simulations using MATLAB, Excel, and PSpice. Limited to EE and CSE majors. Prerequisites: MATH 132, PHYSIC 151. Corequisite: MATH 331.

Mathematical models for analog circuit elements. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations and the Laplace transform. Solving RLC networks in both the time and frequency domains. Computer projects and circuit simulations using MATLAB, Excel, and PSpice. Limited to EE and CSE majors. Prerequisites: MATH 132, PHYSIC 151. Corequisite: MATH 331.

The aim of the course is to provide a basic knowledge of how to use probabilistic and statistical methods for image analysis. Core subjects in the course are pattern recognition and spatial/spectral statistics applied to 2D/3D images. Examples are taken from remote sensing, microscopy, photography and medical imaging. In the course special interest will be devoted to applications in remote sensing, including analysis of images of planetary surfaces. Examples of research topics that will be covered include image texture recognition, image classification and regression.

Time domain and frequency domain analysis and synthesis techniques for linear continuous-time feedback control systems. Topics include benefits and costs of feedback, modeling of dynamic systems,steady-state and transient performance, stability, PID control, root locus, frequency response, Nyquist stability cri-terion, and introduction to loop-shaping. Prerequisite: E&C-313