Program Information
The Department of Electrical and Computer Engineering offers the Master of Science and Doctor of Philosophy degrees. Minimum requirements for these degrees are given in the Graduate Degrees section of this catalog.
The department offers graduate study and research in computer engineering, devices, electromagnetics and energy systems, electronics, and signals and systems.
Graduate students in the Department of Electrical and Computer Engineering have bachelor’s degrees from many areas: electrical engineering, other engineering disciplines, chemistry, mathematics, physics, and other technical fields. The Department of Electrical and Computer Engineering offers both thesis and non-thesis options for the master’s degrees.
In the thesis option a student shall complete a minimum of 30 semester credit hours with a maximum of 6 semester credit hours of EEL 6971 Research for Master's Thesis (1-15 cr.). While the Graduate School sets the minimum requirements, the supervisory committee determines the appropriate number of thesis hours a student shall be required to take for the thesis. Other course requirements include a minimum of 18 hours at the 5000 or 6000 level in electrical and computer engineering. Excluded from satisfying these course requirements are EEL 5905 Individual Work (1-4 cr.) and EEL 6905 Individual Work (1-4 cr.), EEL 6910 Supervised Research (1-5 cr.), EEL 6932, EEL 6940 Supervised Teaching (1-5 cr.), and EEL 6971 Research for Master's Thesis (1-15 cr.). No more than 6 hours of Individual Work (EEL 5905 Individual Work (1-4 cr.) or EEL 6905 Individual Work (1-4 cr.)) may be counted toward the degree.
In the non-thesis option a student shall complete a minimum of 30 semester credit hours with a maximum of 6 semester credit hours of Individual Work (EEL 5905 Individual Work (1-4 cr.) or EEL 6905 Individual Work (1-4 cr.)). The course requirements include a minimum of 21 semester credit hours at the 5000 or 6000 level in electrical and computer engineering. Excluded from satisfying these course requirements are EEL 5905 Individual Work (1-4 cr.) and EEL 6905 Individual Work (1-4 cr.), EEL 6910 Supervised Research (1-5 cr.), EEL 6932, EEL 6940 Supervised Teaching (1-5 cr.), and EEL 6971 Research for Master's Thesis (1-15 cr.).
The Department also offers a combination bachelor’s/master’s degree program. This program allows qualified students to earn both a bachelor’s degree and master’s degree with a saving of one semester. Qualified students may begin their master’s programs while seniors, counting up to 12 hours of specified electrical and computer engineering graduate courses for both bachelor’s and master’s degree requirements. Bachelor’s/master’s program admission requirements are
- satisfaction of Graduate School admission requirements for the master’s degree,
- an upper-division (undergraduate) GPA of at least 3.3, and
- completion of at least 7 EEL core courses and 2 EEL laboratories.
Students with a GPA between 3.3 and 3.59 can double count up to 6 hours, while students with a GPA of 3.6 or higher can double count up to 12 hours.
All prospective doctoral students must take the written part of the Ph.D. qualifying examination within the first year of enrollment. Other requirements for the doctoral degree, as well as requirements for master’s and engineer degrees, are given in the Electrical and Computer Engineering Department’s Graduate Guidelines (see http://www.ece.ufl.edu/content/graduate-academics) and in the front section of this catalog.
The following course listing indicates the major areas of faculty interest. Special topics courses EEL 5934 Special Topics in Electrical Engineering (1-3 cr.) and EEL 6935 Special Topics in Electrical Engineering (1-4 cr.) cover a wide variety of subjects for which there are no present courses.
Degrees Offered with a Major in Electrical and Computer Engineering
- Doctor of Philosophy
- without a concentration
- concentration in Clinical and Translational Science
- Master of Engineering
- Master of Science
Requirements for these degrees are given in the Graduate Degrees section of this catalog.
Electrical and Computer Engineering Departmental Courses
| Code | Title | Credits |
|---|---|---|
| CNT 6805 | Network Science and Applications | 3 |
| EEE 5216 | Introduction to Biophotonics | 3 |
| EEE 5225 | Resonant MEMS | 3 |
| EEE 5283 | Neural Signals, Systems and Technology | 3 |
| EEE 5317C | Introduction to Power Electronics | 3 |
| EEE 5320 | Analog IC Design I | 3 |
| EEE 5322 | VLSI Circuits and Technology 1 | 3 |
| EEE 5354L | Semiconductor Device Fabrication Laboratory | 3 |
| EEE 5364 | Fundamentals of Data Converters | 3 |
| EEE 5374 | Radio Frequency Integrated Circuits 1 | 3 |
| EEE 5400 | Future of Microelectronics Technology | 3 |
| EEE 5405 | Microelectronic Fabrication Technologies | 3 |
| EEE 5408 | Mixed Signal IC Testing I | 3 |
| EEE 5415 | Modern Memory Device Technologies | 3 |
| EEE 5426 | Introduction to Nanodevices | 3 |
| EEE 5467 | Micro/Nano Machined Metamaterials | 3 |
| EEE 5502 | Foundations of Digital Signal Processing | 3 |
| EEE 5544 | Stochastic Methods for Engineering 1 | 3 |
| EEE 5702 | Automated Hardware/Software Verification | 3 |
| EEE 5716 | Introduction to Hardware Security and Trust | 3 |
| EEE 5725 | Acoustics | 3 |
| EEE 6321 | Analog IC Design II | 3 |
| EEE 6323 | VLSI Circuits and Technology 2 | 3 |
| EEE 6328C | Microwave IC Design | 3 |
| EEE 6374 | RF Circuits and Systems | 3 |
| EEE 6382 | Semiconductor Physical Electronics | 3 |
| EEE 6390 | VLSI Device Design | 3 |
| EEE 6397 | Semiconductor Device Theory I | 3 |
| EEE 6428 | Nanoscale Devices for VLSI Technology | 3 |
| EEE 6431 | Carbon Nanotubes | 3 |
| EEE 6460 | Advanced Microsystem Technology | 3 |
| EEE 6465 | Design of MEMS Transducers | 3 |
| EEE 6504 | Machine Learning for Time Series | 3 |
| EEE 6512 | Image Processing and Computer Vision | 3 |
| EEE 6561 | Fundamentals of Biometric Identification | 3 |
| EEE 6586 | Automatic Speech Processing | 3 |
| EEE 6742 | Advanced Hardware Security and Trust | 3 |
| EEE 6744 | Hands-On Hardware Security | 3 |
| EEL 5182 | State Variable Methods in Linear Systems | 3 |
| EEL 5225 | Principles of Micro-Electro-Mechanical Transducers | 3 |
| EEL 5249 | Fundamentals of RF and Power Electronic Devices | 3 |
| EEL 5250 | Power System Analysis | 3 |
| EEL 5285 | Smart Grid for Sustainable Energy | 3 |
| EEL 5406 | Computational Photography | 3 |
| EEL 5417 | Applied Magnetism & Magnetic Materials | 3 |
| EEL 5426 | RF/Microwave Passive Circuits | 3 |
| EEL 5441 | Fundamentals of Photonics | 3 |
| EEL 5447 | Laser Theory and Design | 3 |
| EEL 5462 | Advanced Antenna Systems | 3 |
| EEL 5486 | Electromagnetic Fields and Applications | 3 |
| EEL 5490 | Lightning | 3 |
| EEL 5547 | Introduction to Radar | 3 |
| EEL 5632 | Safety and Security of Vehicular Electronic Systems | 3 |
| EEL 5666C | Intelligent Machines Design Laboratory | 4 |
| EEL 5718 | Computer Communications | 3 |
| EEL 5721 | Reconfigurable Computing | 3 |
| EEL 5733 | Advanced Systems Programming | 3 |
| EEL 5737 | Principles of Computer System Design | 3 |
| EEL 5739 | IoT Security and Privacy | 3 |
| EEL 5749 | IoT Design | 3 |
| EEL 5764 | Computer Architecture | 3 |
| EEL 5840 | Fundamentals of Machine Learning | 3 |
| EEL 5855 | Cross Layered Systems Security | 3 |
| EEL 5905 | Individual Work | 1-4 |
| EEL 5934 | Special Topics in Electrical Engineering | 1-3 |
| EEL 6246 | Power Electronics II | 3 |
| EEL 6275 | Power System Protection | 3 |
| EEL 6487 | Electromagnetic Field Theory and Applications II | 3 |
| EEL 6507 | Queuing Theory and Data Communications | 3 |
| EEL 6509 | Wireless Communication | 3 |
| EEL 6528 | Digital Communications with Software-defined Radios | 3 |
| EEL 6532 | Information Theory | 3 |
| EEL 6533 | Data Analytics and Decision Sciences | 3 |
| EEL 6535 | Digital Communications | 3 |
| EEL 6537 | Spectral Sensing and Sparse Signal Recovery | 3 |
| EEL 6550 | Error Correction Coding | 3 |
| EEL 6555 | Signal Processing for Active Sensing | 3 |
| EEL 6588 | Wireless Ad Hoc Networks | 3 |
| EEL 6591 | Wireless Networks | 3 |
| EEL 6614 | Modern Control Theory | 3 |
| EEL 6617 | Linear Multivariable Control | 3 |
| EEL 6686 | Embedded Systems Seminar | 3 |
| EEL 6706 | Fault-Tolerant Computer Architecture | 3 |
| EEL 6761 | Cloud Computer Systems and Applications | 3 |
| EEL 6763 | Parallel Computer Architecture | 3 |
| EEL 6814 | Neural Networks and Deep Learning | 3 |
| EEL 6825 | Pattern Recognition and Intelligent Systems | 3 |
| EEL 6841 | Machine Intelligence and Synthesis | 3 |
| EEL 6871 | Cloud Computing Systems Management | 3 |
| EEL 6892 | Virtual Computers | 3 |
| EEL 6905 | Individual Work | 1-4 |
| EEL 6910 | Supervised Research | 1-5 |
| EEL 6933 | Electrical and Computer Engineering Graduate Seminar | 1 |
| EEL 6935 | Special Topics in Electrical Engineering | 1-4 |
| EEL 6940 | Supervised Teaching | 1-5 |
| EEL 6971 | Research for Master's Thesis | 1-15 |
| EEL 7979 | Advanced Research | 1-12 |
| EEL 7980 | Research for Doctoral Dissertation | 1-15 |
| EGN 5949 | Practicum/Internship/Cooperative Work Experience | 1-6 |
| EGN 6640 | Entrepreneurship for Engineers | 3 |
| EGN 6913 | Engineering Graduate Research | 0-3 |
College of Engineering Courses
| Code | Title | Credits |
|---|---|---|
| EEE 5354L | Semiconductor Device Fabrication Laboratory | 3 |
| EGN 5010L | NRF Training Lab | 1 |
| EGN 5949 | Practicum/Internship/Cooperative Work Experience | 1-6 |
| EGN 6640 | Entrepreneurship for Engineers | 3 |
| EGN 6642 | Engineering Innovation | 3 |
| EGN 6913 | Engineering Graduate Research | 0-3 |
| EGN 6933 | Special Topics | 1-3 |
| EGN 6937 | Engineering Fellowship Preparation | 0-1 |
| EGS 6039 | Engineering Leadership | 3 |
| EGS 6101 | Divergent Thinking | 3 |
| EGS 6626 | Fundamentals of Engineering Project Management | 3 |
| EGS 6628 | Advanced Practices in Engineering Project Management | 3 |
| EGS 6681 | Advanced Engineering Leadership | 3 |
| EMA 6581 | Polymeric Biomaterials | 3 |
| ESI 6900 | Principles of Engineering Practice | 1-4 |
Electrical & Computer engineering (PHD)
SLO 1 Knowledge
Ability to identify, formulate and solve engineering problems. Ability to critically read and integrate engineering research literature
SLO 2 Skills
Ability to use applied mathematical and/or modern experimental techniques. Ability to use modern engineering tools for practice at an advanced level
SLO 3 Professional Behavior
Ability to communicate effectively
Electrical & Computer Engineering (Me & Ms)
SLO 1 Knowledge
Ability to identify, formulate and solve electrical and computer engineering problems
SLO 2 Skills
Ability to use applied mathematical techniques. Ability to use modern engineering tools for practice at an advanced level