| EECS 412: Electronic Circuits II (4) Discrete and integrated amplifier analysis and design. Introduction to feedback amplifier analysis and design. Introduction to feedback amplifiers. Prerequisites: EECS 312 and upper-level EECS eligibility |
| EECS 420: Electromagnetics II (4) This course applies electromagnetic analysis to high frequency devices and systems where wave propagation effects cannot be neglected. Topics covered include waves, transmission lines, waveguides, radiation, and antennas. Laboratory experiments include transmission line, waveguide, and antenna measurements and characterizations. Prerequisites: EECS 220 and upper-level EECS eligibility |
| EECS 443: Digital Systems Design (3) The design of computer systems from the hardware point of view. The implementation of functional and control units and microprogrammed control structures. Prerequisites: EECS 388 |
| EECS 444: Control Systems (3) An introduction to the modeling, analysis, and design of linear control systems. Topics include mathematical models, feedback concepts, state-space methods, time response, system stability in the time and transform domains, design using PID control and series compensations, and digital controller implementation. Prerequisites: EECS 212 and EECS 360 |
| EECS 448: Software Engineering I (3) This course covers the systematic development of software products. It first outlines the problems encountered in large software systems and their life-cycle. It then concentrates on the methods and techniques for specification, design, and implementation of software: requirements analysis and specification; systems planning on design; software design and design documentation; implementation techniques, unit testing, and integration; validation and verification; early preparation of documentation including user manuals. Prerequisites: EECS 268 and upper-level EECS eligibility |
| EECS 461: Probability and Statistics (3) Introduction to probability and statistics with applications. Reliability of systems. Discrete and continuous random variables. Expectations, functions of random variables and linear regression. Sampling distributions, confidence intervals, and hypothesis testing. Joint, marginal, and conditional distributions and densities Prerequisites: MATH 290, MATH 220 or MATH 223, and upper-level EECS eligibility. |
| EECS 470: Electrical Devices and Properties of Materials (3) An introduction to crystal structures, and metal, insulator, and semiconductor properties. Topics covered include the thermal, electric, dielectric, and optical properties of these materials. A significant portion of this course is devoted to the properties of semiconductors and semiconductor devices. Prerequisites: PHSX 313 and upper-level EECS eligibility |
| EECS 498: Honors Research (1-2) Arranged to allow students to satisfy the independent research requirement for graduation with departmental honors. Prerequisites: Consent of instructor and upper-level EECS eligibility |
