# Electrical and Computer Engineering Degree Programs

ECE Graduate Advising

## Deficiency Classes

### ETEE Undergraduate Deficiency Classes

If a student has a BS degree from NMSU in Engineering Technology, Electronics Option, he/she will need to complete deficiency course work. Listed below are the required deficiency courses for the MSEE at NMSU. For ETEE students, most of the courses may be bypassed because of similar content in courses already taken. Deficiency classes must be completed successfully with a letter grade of A, B, or C, or a pass/fail grade of S (Satisfactory). At the undergraduate level, a pass/fail grade of S corresponds to a letter grade of A, B, or C. Please note pre-requisites and co-requisites are recommended but are NOT REQUIRED for ETEE students.

Course Num & Credits | Title | Catalog Description | Similar content in |
---|---|---|---|

MATH 191 4 credits |
Calculus and Analytic Geometry I | Algebraic, logarithmic, exponential, and trigonometric functions, theory and computation of derivatives, approximation, graphing, and modeling. May include an introduction to integration. Prerequisite(s): MATH 190G | MATH 235 |

MATH 192 4 credits |
Calculus and Analytic Geometry II | Riemann sums, the definite integral, anti-derivatives, fundamental theorems, use of integral tables, numerical integration, modeling, improper integrals, differential equations, series, Taylor polynomials. Prerequisite(s): MATH 191G | MATH 236 |

MATH 291 3 credits |
Calculus and Analytic Geometry III | Vector algebra, directional derivatives, approximation, max-min problems, multiple integrals, applications, cylindrical and spherical coordinates, change of variables. Prerequisite: Grade of C or better in MATH 192G | no similar course |

MATH 392 3 credits |
Introduction to Ordinary Differential Equations | Introduction to differential equations and dynamical systems with emphasis on modeling and applications. Basic analytic, qualitative and numerical methods. Equilibria and bifurcations. Linear systems with matrix methods, real and complex solutions. Prerequisite: C or better in MATH 192G or B or better in MATH 236 | no similar course |

Course Num & Credits | Title | Catalog Description | Similar content in |
---|---|---|---|

EE 161 4 credits |
Computer-Aided Problem Solving |
Introduction to scientific programming. Extensive practice in writing programs to solve engineering problems. Items covered will include: loops, input and output, functions, decision statements, and pointers. Pre/Corequisite(s): MATH 190G. | ET 262 |

EE 162 4 credits |
Digital Circuit Design |
Design of combinational logic circuits based on Boolean algebra. Introduction to state machine design. Implementation of digital projects with hardware description language. Prerequisite(s): C or better in E E 161 and MATH 190G. Restricted to: Main campus only. | ET 282 |

EE 210 4 credits |
Engineering Analysis I | The application of linear algebra and matrices, probability, random variables and random processes to solve problems in electrical engineering. Applications to be covered include probabilistic modeling of electrical/electronic systems and an introduction to Mat lab. Prerequisite(s): C or better in EE 161 and MATH 192G. Restricted to: Main campus only. | no similar course |

EE 260 4 credits |
Embedded Systems | Applications of microcontrollers, FPGAs, interfaces and sensors. Introduction to Assembly language programming. Prerequisite(s): C or better in E E 162. | ET 344 |

EE 280 4 credits |
DC and AC Circuits |
Electric component descriptions and equations. Kirchhoff’s voltage and current laws, formulation and solution of network equations in the time and frequency domain. Applications of circuit analysis to ideal op amps. Complete solutions of RLC and switching networks. Mutual coupling. Prerequisite(s): C or better in MATH 192G and PHYS 216G. | ET 190 |

EE 310 3 credits |
Engineering Analysis II | Calculus of vector functions through electrostatic applications. Techniques for finding resistance and capacitance. Coulomb’s law, gradient, Gauss divergence theorem, curl, Stokes’ theorem, and Green’s theorem. Application of complex algebra and Mat lab. Prerequisite(s): C or better in E E 210 and MATH 291G. | no similar course |

EE 312 3 credits |
Signals and Systems | Continuous-and discrete-time signals and systems. Time-and frequency-characterization of signals and systems. Transform-domain methods including Fourier-, Laplace-, and z-transforms. Prerequisite(s): C or better in EE 210, EE 280, and Math 392. | no similar course |

EE 314 4 credits |
Signals and Systems II | Introduction to communication systems including amplitude-, frequency-, and pulse-amplitude modulation. Introduction to control systems including linear feedback systems, root-locus analysis, Nyquist criterion. Introduction to digital signal processing including sampling, digital filtering, and spectral analysis. Prerequisite(s): C or better in EE 312. | ET314/324 |

EE 351 4 credits |
Applied Electromagnetics | Static electric and magnetic fields. Maxwell’s equations, static and time-varying electromagnetic fields, generalized plane wave propagation and microwave transmission line theory and applications. Prerequisite(s): C or better in EE 310 and EE 280. | no similar course |

EE 380 4 credits |
Electronics I | Analysis and design of single-time-constant circuits, opamp applications, diode circuits, linear power supplies, and single-transistor MOS and BJT amplifiers. Introduction to solid-state devices and digital CMOS circuits. Prerequisite(s): C or better in E E 162, E E 280, and CHEM 111G. | ET246/272 |