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The RIDGE

The Radiation instrumentation Interdisciplinary Graduate Education (RIDGE) program began in the 2015-2016 academic year in order to establish a closer connection between engineering departments that contribute to radiation instrumentation systems research and development.  The program is geared toward education of PhD-seeking students through coursework and research.

A sample curriculum along with other suggested milestones for a student seeking a PhD in Nuclear Engineering is given below. In this sample, a student may earn either a MS degree in Nuclear Engineering or Computer Engineering along the way to the Nuclear Engineering PhD while also receiving a certificate in Nuclear Security Science and Analysis. Recommended courses are described in more detail in the catalog. Requirements for the Nuclear Engineering PhD are found here.  Requirements for the Nuclear Engineering MS degree are here. Requirements for the Computer Engineering MS are here.

If interdisciplinary work in Materials Science Engineering is desired instead, see the sample course plan and information here.

FIRST SEMESTER (Fall) PhD student seeking concurrent MS
NE EECS Num. of classes EECS classes
551 Radiological Protection (433 required?) ECE 571 Pattern recognition  3  1
571 Reactor theory/design or 470

SECOND SEMESTER (Spring) PhD student seeking concurrent MS
NE EECS  # of classes  EECS classes
550 Radiation Measurements  ECE 572 Digital image processing   3  1
532 Advanced topics in Nuclear Sec. Sci. and Analysis
598 Practice (if MS in NE desired)

FIRST SUMMER PhD student seeking concurrent MS
6 credits required Take prelim in May (Nuclear instrumentation)

THIRD SEMESTER (Fall) PhD student seeking concurrent MS
NE EECS  # of classes  EECS classes
542 Management of Radioactive Materials COSC 571 Numerical mathematics  3  1
579 Empirical models for monitoring and diagnostics
600 Research Defend MS in NE (project option) if not planning on Computer Eng. MS

FOURTH SEMESTER (Spring) PhD Student
 NE  EECS  # of classes  EECS classes
582 Monte Carlo Analysis ECE 611 Convex optimization  3  1
588 Particle Accelerators -OR-
583 Radiation Transport Methods Defend PhD proposal this semester
600 Research Prepare 1st journal paper

SECOND SUMMER PhD Candidate
 600 Research  Submit 1st journal paper

FIFTH SEMESTER (Fall) PhD Candidate
 NE  EECS  # of classes  EECS classes
530 Nuclear Security Science and Analysis  ECE 505 Digital signal processing  2  1
600 Research  (apply for NSSA certificate at end of semester)

SIXTH SEMESTER (Spring) PhD Candidate
NE EECS  # of classes  EECS classes
697 Fusion Technology COSC 526 Data mining -OR- 2 1
600 Research COSC 650 Image reconstruction
Prepare 2nd journal paper

THIRD SUMMER PhD Candidate
600 Research Submit 2nd journal paper
7th semester (Fall) PhD Candidate
NE EECS  # of classes  EECS classes
600 Research ECE 692 Advanced topics in image processing   -OR- 1 1
ECE 517 Reinforcement learning in artificial intelligence

EIGHTH SEMESTER (Spring) PhD Candidate
Write dissertation EECS
Prepare 3rd journal paper ECE 501 Practice (if MS Computer Engineering desired)
Defend MS Computer Engineering (project option)

FOURTH SUMMER PhD Candidate, MS graduate Total classes Total EECS
600 Research (24 hrs total) Submit 3rd journal paper, write dissertation 17 7
Defend PhD dissertation; complete edits/changes



Course selections may depend upon research topic and student interest in: 1) Methods/computational vs. experimental focus, 2) Application interest (medical imaging, nuclear security, etc.).

Other course options include MATH 572 (cross-listed as COSC 572), 576 and 577, as well as MATH 525 and 526; ECE 651 VLSI; MSE 511, 512, 513, 514; PHYS 621, 615; NE 697 Advanced radiation scintillator (cross listed as MSE 576) and/or semiconductor courses

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