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/
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 18 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.
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
EE 5xxx – Applied Optics and Photonics
EE 5xxx– Microwave Engineering
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 5xxx – Modeling of VLSI Interconnections
EE 5xxx – Antenna Engineering
EE 5xxx – Computational Electromagnetic Modeling
EE 5xxx – Techniques of Computer-Aided Circuit Analysis & Design
Computer Engineering
Basic Courses – Taught every year
EE5496 – GPU and Multicore Programming
EE5750 – Dist Embedded Control Systems
EE5780 – Advanced VLSI CAD
EE6710 – Research Tools for Computer Engineers—Experimental Statistics
EE6711 - Research Tools for Computer Engineers—Stochastic Processes, Modeling and Simulation
EE6712 – Research Tools for Computer Engineers—Formal Methods
Advanced Courses – Taught (perhaps) every other year
EE5726 – Embedded Sensor Networks
EE5755 – Fault-tolerant Systems
Signals and Systems
Basic Courses – Taught every year
EE 5500 – Probability and Random Signal Analysis
EE 55xx – State Spaced Based Linear Systems
EE 5521 – Detection and Estimation Theory
EE 5527 – Digital Communications
EE 5511 – Information Theory
EE 55xx – Advanced Imaging Systems
EE 55xx – Advanced topics in Signal and Image Processing
EE 55xx – Advanced topics in Communication Theory
EE 55xx – Linear Optimal Control
EE 55xx – Radar Systems I
EE 55xx – Radar Systems II
Power
Basic Courses – Taught every year
EE 5200 – Advanced Methods in Power Systems
EE 5221 – Advanced Electric Machinery and Drives
EE 5295 – Advanced Propulsion Systems for Hybrid Electric Drive Vehicles
EE 5296 – Advanced Propulsion Systems for Hybrid Electric Drive Vehicles Lab
Advanced Courses – Taught (perhaps) every other year
EE 5220 – Transient Analysis Methods
EE 5223 – Power System Protection
EE 5224 – Power System Protection Lab
EE 5227 – Advanced Power Electronics
EE 5240 – Computer Modeling of Power Systems
EE 5250 – Distribution Engineering
