Electrical Engineering, PhD
Doctor of Philosophy in Electrical Engineering Degree Program Requirements
The minimum required coursework beyond the Master’s degree is 53 semester credit hours (SCH). This credit hour requirement includes coursework prescribed for students in support of an area of concentration (9 SCH), free electives in support of doctoral dissertation and specialization (15 SCH), doctoral research (12 SCH), dissertation (12 SCH), stochastic process course (3 SCH) and graduate seminars (2 SCH). Courses taken during a master’s degree program may not be repeated for credit at the doctoral degree level.
Students that take the ELEG 6331 Stochastic Processes course (receiving a grade of at least a B) as a Master’s degree student or as a non-degree seeking certificate student at PVAMU, who then proceed to the PhD-EE program, must substitute for the Stochastic Processes course a graduate level (5000 – 7000 level) course that is related to their dissertation topic. This substitution course requires the approval of the student’s dissertation advisor or the graduate coordinator. Note: No more than three 5000 level courses may be taken toward the free elective requirements for the PhD-EE.
| Required Courses | ||
| ELEG 6101 | Graduate Seminar I | 1 |
| ELEG 6102 | Graduate Seminar II | 1 |
| ELEG 6331 | Stochastic Processes | 3 |
| ELEG 7601 | Doctoral Research I | 6 |
| ELEG 7602 | Doctoral Research II | 6 |
| ELEG 7691 | Doctoral Dissertation I | 6 |
| ELEG 7692 | Doctoral Dissertation II | 6 |
| Elective Courses Prescribed for Students | ||
| 6000 or 7000 level Electrical Engineering courses selected from one of the Electrical Engineering tracks. | 9 | |
| Free Electives | ||
| 5000 to 7000 level graduate courses, but not more than 9 SCH course at the 5000 level will be accepted. | 15 | |
| Total Hours | 53 | |
Courses for Electrical Engineering Tracks
(A) Computer Engineering Track
| ELEG 6310 | Advanced Computer Systems Design | 3 |
| ELEG 6311 | Computer Architecture & Advanced Logic Design | 3 |
| ELEG 6312 | The Internet: Design and Implementation | 3 |
| ELEG 6314 | Fault Tolerant Computing | 3 |
| ELEG 6315 | Information Networks | 3 |
| ELEG 6316 | Statistical Learning for Big Data | 3 |
| ELEG 6318 | Deep Learning | 3 |
| ELEG 6360 | Modern Artificial Intellegence | 3 |
| ELEG 6361 | Advanced Artificial Intelligence | 3 |
| ELEG 6365 | Intro to High Perf Computing | 3 |
| ELEG 6370 | Selected Topics in Deep Learning | 3 |
| ELEG 6380 | Introduction to Bioinformatics | 3 |
| ELEG 6381 | Advanced Bioinformatics | 3 |
| ELEG 6382 | Computational Systems Biology | 3 |
| ELEG 6383 | Computational Modeling of Biological Systems | 3 |
| ELEG 7310 | Advanced Topics in Computer Engineering | 3 |
(B) Communication and Signal Processing Track
| ELEG 6320 | Wireless Networks | 3 |
| ELEG 6321 | Digital Communication | 3 |
| ELEG 6322 | Coding Theory | 3 |
| ELEG 6324 | Advanced Broadband Communications Systems | 3 |
| ELEG 6325 | Telecommunications Network Security | 3 |
| ELEG 6330 | Signal Detection and Estimation | 3 |
| ELEG 6331 | Stochastic Processes | 3 |
| ELEG 6312 | The Internet: Design and Implementation | 3 |
| ELEG 6333 | Wavelets and Their Applications | 3 |
(C) Microelectronics Track
| ELEG 6342 | VLSI and ULSI Design | 3 |
| ELEG 6350 | Advanced Photonics Materials and Devices | 3 |
| ELEG 6351 | Advanced Quantum Devices | 3 |
| ELEG 6352 | Advanced Characterization of Materials and Devices | 3 |
| ELEG 6354 | Advanced Solid State | 3 |
(D) Power Engineering Track
| ELEG 6371 | Power System Faults Protective | 3 |
| ELEG 6372 | Power System Stability | 3 |
| ELEG 6373 | High Voltage Direct Current | 3 |
| ELEG 6374 | Power Gen Oper Control | 3 |
| ELEG 6375 | Advanced Power System | 3 |
| ELEG 6376 | Power Electronics Power System | 3 |
| ELEG 6377 | Advanced Electric Drives | 3 |
| ELEG 6378 | Advanced Power Electronics | 3 |
| ELEG 6385 | Fundamentals of Power Electronics and Motor Drives | 3 |
| ELEG 6386 | Renewable Energy Sources | 3 |
| ELEG 6387 | Smart Grid: Fundamentals of Design and Analysis | 3 |
Free Electives
| Electrical Engineering Technical Electives | ||
| ELEG 6310 | Advanced Computer Systems Design | 3 |
| ELEG 6311 | Computer Architecture & Advanced Logic Design | 3 |
| ELEG 6312 | The Internet: Design and Implementation | 3 |
| ELEG 6314 | Fault Tolerant Computing | 3 |
| ELEG 6315 | Information Networks | 3 |
| ELEG 6316 | Statistical Learning for Big Data | 3 |
| ELEG 6318 | Deep Learning | 3 |
| ELEG 6320 | Wireless Networks | 3 |
| ELEG 6321 | Digital Communication | 3 |
| ELEG 6322 | Coding Theory | 3 |
| ELEG 6324 | Advanced Broadband Communications Systems | 3 |
| ELEG 6325 | Telecommunications Network Security | 3 |
| ELEG 6330 | Signal Detection and Estimation | 3 |
| ELEG 6331 | Stochastic Processes | 3 |
| ELEG 6333 | Wavelets and Their Applications | 3 |
| ELEG 6342 | VLSI and ULSI Design | 3 |
| ELEG 6350 | Advanced Photonics Materials and Devices | 3 |
| ELEG 6351 | Advanced Quantum Devices | 3 |
| ELEG 6352 | Advanced Characterization of Materials and Devices | 3 |
| ELEG 6354 | Advanced Solid State | 3 |
| ELEG 6360 | Modern Artificial Intellegence | 3 |
| ELEG 6361 | Advanced Artificial Intelligence | 3 |
| ELEG 6365 | Intro to High Perf Computing | 3 |
| ELEG 6370 | Selected Topics in Deep Learning | 3 |
| ELEG 6371 | Power System Faults Protective | 3 |
| ELEG 6372 | Power System Stability | 3 |
| ELEG 6373 | High Voltage Direct Current | 3 |
| ELEG 6374 | Power Gen Oper Control | 3 |
| ELEG 6375 | Advanced Power System | 3 |
| ELEG 6376 | Power Electronics Power System | 3 |
| ELEG 6377 | Advanced Electric Drives | 3 |
| ELEG 6378 | Advanced Power Electronics | 3 |
| ELEG 6380 | Introduction to Bioinformatics | 3 |
| ELEG 6381 | Advanced Bioinformatics | 3 |
| ELEG 6382 | Computational Systems Biology | 3 |
| ELEG 6383 | Computational Modeling of Biological Systems | 3 |
| ELEG 6385 | Fundamentals of Power Electronics and Motor Drives | 3 |
| ELEG 6386 | Renewable Energy Sources | 3 |
| ELEG 6387 | Smart Grid: Fundamentals of Design and Analysis | 3 |
| ELEG 6391 | Special Topics in Elec Engr 1 | 3 |
| ELEG 7310 | Advanced Topics in Computer Engineering | 3 |
| Other Technical Electives | ||
| CHEG 5302 | Microelectronics Materials | 3 |
| CINS 5306 | Data Structures and Algorithms | 3 |
| COMP 5315 | Design and Analysis of Algorithms | 3 |
| CVEG 5300 | Physical/Chemical Unit Operations in Water and Wastewater Treatment | 3 |
| CVEG 5303 | Finite Element Analysis | 3 |
| GNEG 5304 | Engineering Probability and Statistics | 3 |
| GNEG 5306 | Engineering Analysis I | 3 |
| GNEG 5307 | Engineering Analysis II | 3 |
| GNEG 5313 | Engineering Numerical Methods | 3 |
| GNEG 5319 | Special Topics 1 | 3 |
| MCEG 5302 | Advanced Thermodynamics | 3 |
| MCEG 5325 | Advanced Engineering Materials | 3 |
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Special topics courses vary in content and may cover areas such as artificial intelligence, machine learning, cybersecurity, and power systems.
Marketable Skills
Marketable skills, as defined by the Texas Higher Education Coordinating Board's 60x30TX Plan, include interpersonal, cognitive, and applied skill areas, are valued by employers, and can be either primary or complementary to a major. Marketable skills are acquired by students through education, including curricular, co-curricular, and extracurricular activities.
PhD Electrical Engineering
Degree Skills
- Ability to communicate new and innovative research findings to engineers and scientists
- Proficient in the general body of knowledge in electrical engineering
- Advanced understanding of specialized knowledge in electrical engineering and specialized areas of computer engineering, Communication and Signal Processing, Microelectronics and Power Engineering
Concentration Skills
- Advanced understanding of deep learning for artificial intelligence
- Advanced understanding of the smart grid
- Advanced understanding of cybersecurity and broadband communications
Co-curricular and Extracurricular Skills
- Ability to teach/mentor in the electrical engineering field
- Ability to propose and develop novel solutions to electrical engineering problems
- Ability to lead original research and development in electrical engineering