Engineering (PhD) Cyberspace Engineering Concentration

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The Cyberspace concentration within the Ph.D. in Engineering aims to graduate engineering researchers who are capable of pushing the frontiers of engineering across the cyberspace domain.

Students without an undergraduate degree in an Engineering program take all three of the following:

ENGR 220
ENGR 221
ENGR 222
and any other deficiency courses recommended by the Advisory Committee.

General Core Courses (9 SCH)

ENGR 641: Formulation of Solutions To Engineering Problems 3 Semester Credit Hours
MATH 574: Numerical Solution for Pde I 3 Semester Credit Hours
STAT 620: Theory of Probability 3 Semester Credit Hours
or
STAT 621: Theory of Statistics 3 Semester Credit Hours

Disciplinary Core Courses (12 SCH)

Choose four of the following:

CSC 543: Digital Forensics and Cyber Crime 3 Semester Credit Hours
CSC 552: Distributed and Cloud Computing 3 Semester Credit Hours
CSC 554: Advanced Networking 3 Semester Credit Hours
ELEN 512: Electromagnetic Waves. 3 Semester Credit Hours
ELEN 535: Advanced Topics in Microelectronics 3 Semester Credit Hours
ELEN 565: Digital Signal Processing 3 Semester Credit Hours
MATH 435: Introduction To Graph Theory 3 Semester Credit Hours
MATH 460: Number Theory 3 Semester Credit Hours
PHYS 511: Electromagnetic Theory 3 Semester Credit Hours

Qualifying Examinations

ENGR 685: Written Qualifying Examination No credit Semester Credit Hours
ENGR 686: Oral Comprehensive Examination No credit Semester Credit Hours

Doctoral Seminar (3 hours)

ENGR 611: Dissertation Enhancement Seminar 1 Semester Credit Hours
All students must enroll in three ENGR 611 over the course of the degree.

Independent Study and Special Topics (6 SCH)

A Ph.D. student must participate in 6 SCH of Doctoral Independent Study (ENGR 650 ) under the supervision of a faculty member. Independent Study can be a preparation for the research leading to the dissertation.

Recommended Elective Courses (18 SCH)

In addition to the courses listed in the General and Disciplinary cores (above), a student may take any of the following elective courses. Courses not listed here or in the General and Disciplinary cores are also acceptable, provided they are approved by the Advisory Committee.

Choose four of the following:

CSC 575: Adv Topics: Artificial Intell 3 Semester Credit Hours
CSC 576: Data Analytics Tools and Appl 3 Semester Credit Hours
CSC 579: Data Mining and Knowledge Discovery 3 Semester Credit Hours
CSC 580: Advanced Data Mining, Fusion and Applications 3 Semester Credit Hours
ELEN 533: Optoelectronics 3 Semester Credit Hours
ELEN 561: Random Signals and Systems 3 Semester Credit Hours
ELEN 567: Wireless Sensor Networks 3 Semester Credit Hours
ELEN 572: Digital Control Systems I 3 Semester Credit Hours
ELEN 573: Digital Control Systems II 3 Semester Credit Hours
MATH 535: Graph Theory 3 Semester Credit Hours
MATH 575: Numerical Solution for Pde II 3 Semester Credit Hours
PHYS 512: Solid State Physics 3 Semester Credit Hours
PHYS 540: Computational Methods in Physics Modeling and Simulation I 3 Semester Credit Hours
PHYS 541: Computational Methods in Physics Modeling and Simulation II 3 Semester Credit Hours

Research and Dissertation (18 SCH)

Complete 9 SCH of ENGR 651 prior to ENGR 686 . After successful completion of ENGR 686 , the student will beomce a PhD Candidate and will complete at least 9 SCH of ENGR 751 . For ENGR 651 or ENGR 751 , registration in any quarter is for 1 to 3 semester hours or multiples thereof, up to a maximum of 9 semester hours per quarter.

ENGR 651: Pre-Candidacy Doctoral Research 1-9 Semester Credit Hours

Total (66 SCH)

45 SCH of coursework + 3 SCH of doctoral seminar courses + 9 SCH of Pre-candidacy Doctoral Research + 9 SCH of Post-candidacy Dissertation Research = 66 SCH