Recommended Grad Course Sequences

After identifying an area of interest, choose courses that are of interest and meet the guidelines given at:

http://www.mtu.edu/ece/graduate/electrical/

Simply stated, you must meet each condition given in those guidelines for a particular degree.  For example, if you are pursuing a Plan D MS, you must have 12 credits minimum of EE5000-6000 AND 9 credits maximum EE4000 series courses AND 3 credits minimum 4000 or higher outside the department AND 3 credits maximum of EE5805.  That is, you should "logically AND" each of the requirements in a given list.  Regarding courses outside the department, courses chosen from other engineering disciplines: math, physics, or materials science are all permitted.  Within the ECE department, recommended course sequences are given below.

Recommended Grad Course Sequences

Electrophysics

Basic Courses – Taught every year

EE 5410 – Engineering Electromagnetics

EE 5421 – Applied Optics and Photonics

EE 5430 – Electronic Materials

EE 5460 – Solid State Devices

Advanced Courses – Taught (perhaps) every other year

EE 5431 – Techniques of Computer-Aided Circuit Analysis & Design

EE 5441 – Computational Electromagnetic Modeling

EE 5451 – Modeling of VLSI Interconnections

EE 5480 – Advanced MEMs

EE 5528 – Antenna Engineering

Computer Engineering

Basic Courses – Taught every year

EE 5495 – Design of Multimedia Systems

EE 5496 – GPU and Multicore Programming

EE 5726 – Embedded Sensor Networks

EE 5750 – Distributed Embedded Control Systems

EE 5780 – Advanced VLSI CAD

Advanced Courses – Taught (perhaps) every other year

EE 5726 – Embedded Sensor Networks

EE 5755 – Fault-tolerant Systems

EE 5821 – Computational Intelligence

EE 5841 – Machine Learning

Signals and Systems

Basic Courses – Taught every year

EE 5500 – Probability and Stochastic Processes

EE 5715 – Linear System Theory and Design

EE 5521 – Detection and Estimation Theory

EE 5527 – Digital Communications

Advanced Courses – Taught (perhaps) every other year

EE 5511 – Information Theory

EE 5522 – Digital Image Processing

EE 5523 – Radar Systems l

EE 5524 – Radar Systems ll

EE 5525 – Wireless Communications

EE 5526 – Microwave Systems

EE 5528 – Antenna Engineering

EE 5535 – Wireless Communications ll – Advanced Topics

EE 5726 – Embedded Sensor Networks

EE 5750 – Distributed Embedded Control Systems

Power

Basic Courses – Taught every year

EE 5200 – Advanced Methods in Power Systems

Specialization/Advanced Courses – Taught every year

EE 5295–Advanced Propulsion Systems for Hybrid Electric Drive Vehicles(co-listed with ME)

EE 5296–Advanced Propulsion Systems for Hybrid Electric Drive Vehicles Lab(co-listed with ME)

Advanced Courses – Taught (perhaps) every other year

EE 5220 – Transient Analysis Methods

EE 5221 – Advanced Electric Machinery and Drives (taught in alternating fall semesters)

EE 5223 – Power System Protection

EE 5224 – Power System Protection Lab

EE 5227 – Advanced Power Electronics (taught in alternating fall semesters)

EE 5240 – Computer Modeling of Power Systems

EE 5250 – Distribution Engineering

Advanced Courses – Taught every third year

EE 5230 - Power System Operations

EE 5260 – Wind Power Grid Integration

EE 6210 – Power System Stability