# E E-ELECTRICAL ENGINEERING (E E)

**E E 100. Introduction to Electrical and Computer Engineering**

**4 Credits (3+3P)**

Introduction to analog (DC) and digital electronics. Includes electric component descriptions and equations, Ohm's law, Kirchhoff's voltage and current laws, ideal op-amp circuits, Boolean algebra, design of combinational and sequential logic circuits and VHDL or VERILOG. May be repeated up to 4 credits.

**Prerequisite(s)/Corequisite(s): **C- or better in MATH 190G.

**E E 112. Embedded Systems**

**4 Credits (3+3P)**

Introduction to programming through microcontroller-based projects. Extensive practice in writing computer programs to solve engineering problems with microcontrollers, sensors, and other peripheral devices.

**Prerequisite(s): **C- or better in E E 100.

**E E 200. Linear Algebra, Probability and Statistics Applications**

**4 Credits (3+3P)**

The theory of linear algebra (vectors and matrices) and probability (random variables and random processes) with application to electrical engineering. Computer programming to solve problems in linear algebra and probability.

**E E 201. Electric Circuit Analysis**

**3 Credits**

Electric component descriptions and equations. Kirchhoff's voltage and current laws, formulation and solution of RLC network equations using time domain concepts. For nonmajors only. Minimum 2.0 GPA.

**Prerequisite(s): **C or better in MATH 192G.

**E E 212. Introduction to Computer Organization**

**4 Credits (3+3P)**

Concepts of modern computer organization, CPU control, pipelining, memory hierarchies, memory mapping, hardware-software interface, and operating systems.

**E E 230. AC Circuit Analysis and Introduction to Power Systems**

**4 Credits (3+3P)**

Electric component descriptions and equations; complete solutions of RLC circuits; steady-state analysis of AC circuits; application to power system analysis. May be repeated up to 4 credits.

**Prerequisite(s)/Corequisite(s): **PHYS 216G. Prerequisite(s): C- or better in E E 100 and MATH 192G.

**E E 240. Multivariate and Vector Calculus Applications**

**3 Credits**

Vector algebra, cylindrical and spherical coordinates, partial derivatives, multiple integrals. Calculus of vector functions through electrostatic applications. Divergence, gradient, curl, divergence theorem, Stokes’s theorem, Coulomb’s Law, Gauss’s Law, electric field, electric potential. Applications in Matlab.