Doctoral Program Curricula
Program of Study
Unit Requirements: A total minimum of 66 units of course work, independent study, and research (including transfer credit) must be completed. These must be distributed as follows:
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- Minimum 18 units of graduate-level coursework at SDSU
-
- Minimum 24 units of graduate level coursework at UCI
-
- Minimum 24 units of Research, Practicum, Dissertation and Graduate Seminar at either institution.
Summer Research Survey: Students are required to attend the annual 1-2 day summer seminar series featuring participating faculty members describing their current research and future projects.
Course Requirements:
Core Courses at SDSU (9 units):
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- MATH 636: Mathematical Modeling (3) or Math 638: Continuous Dynamical Systems and Chaos (3)
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- COMP 670: Problems in Computational Science (3) or MATH 693B: Advanced Computational PDE’s (3)
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- COMP 605: Scientific Computing (3)
Elective Courses at SDSU (9 units): (Appropriate substitutions with approval of the program director and student research mentor)
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- AE 601: Computational Fluid Mechanics (3)
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- AE 641: Structural Optimization (3)
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- AE 670: Optimal Control (3)
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- BIOL 606: Biological Data (3)
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- BIOL 668: Advanced Biological Data Aalysis (3)
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- BIOL 740: Phylogenetic Systematics (3)
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- BIOMI 608: Programming Problems in Bioinformatics (3)
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- CHEM 711: Chemical Thermodynamics (3)
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- CHEM 712: Chemical Kinetics (3)
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- CHEM 713: Quantum Chemistry (3)
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- CIVE 620: Traffic Flow and Control (3)
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- CIVE 697: Traffic Signals Systems Operations and Control (3)
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- COMP 526: Computational Methods for Scientists (3)
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- COMP 607: Computational Database Fundamentals (3)
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- COMP 670: Seminar – Problems in Computational Science (3)
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- CS 600: Bioinformatics (3)
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- CS 610: Computational Genomics (3)
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- CS 653: Data Mining and Knowledge (3)
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- CS 666: Advanced Distributed Systems (3)
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- CS 696: Programming Problems in Bioinformatics (3)
-
- EE 645: Antennas and Wave Propogation (3)
-
- EE 657: Digital Signal Processing (3)
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- EE 658: Advanced Digital Signal Processing (3)
-
- EE 665: Multimedia Wireless Networks (3)
-
- EE 740: Advanced Topics in Physical Electronics Antenna Design (3)
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- MATH 693A: Advanced Computational Optimization (3)
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- ME 610: Finite Element Methods (3)
-
- PHYS 604: Electricity and Magnetism (3)
-
- PHYS 606: Statistical Mechanics (3)
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- PHYS 608: Classical Mechanics (3)
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- PHYS 610: Quantum Mechanics (3)
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- STATS 676: Bayesian Statistics (3)
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- STATS 678: Survival Analysis (3)
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- STATS 700: Data Analysis (3)
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- STATS 701: Monte Carlo Methods (3)
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- STATS 702: Data Mining (3)
Core Courses at UCI (16 units):
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- COMPSCI 206: Principles of Scientific Computing (4)
-
- COMPSCI 271: Introduction to Artificial Intelligence (4)
-
- ENGRCEE 290: Merging Models and Data (4)
-
- STATS 201: Statistical Methods for Data Analysis (4)
Elective Courses at UCI (8 units): (Appropriate substitutions with approval of the program director and student research mentor)
-
- BME 232: Introduction to Computational Biology (4)
-
- BME 233: Dynamic Systems in Biology and Medicine (4)
-
- BME 238: Spectroscopy and Imaging of Biological Systems (4)
-
- CHEM 230: Classical Mechanics and Electromagnetic Theory (4)
-
- CHEM 231A: Fundamentals of Quantum Mechanics (4)
-
- CHEM 231B: Applications of Quantum Mechanics (4)
-
- CHEM 232A: Thermodynamics and Introduction to Statistical Mechanics (4)
-
- CHEM 232B: Advanced Topic in Statistical Mechanics (4)
-
- CHEM 250: Computational Chemistry (4)
-
- CHEM 250L: Computational Chemistry Laboratory (4)
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- COMPSCI 211A: Visual Computing (4)
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- COMPSCI 221: Information Retrieval, Filtering, and Classification (4)
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- COMPSCI 242: Parallel Computing (4)
-
- COMPSCI 261: Data Structures (4)
-
- COMPSCI 265: Graph Algorithms (4)
-
- COMPSCI 268: Introduction to Optimization (4)
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- COMPSCI 273A: Machine Learning (4)
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- COMPSCI 274A: Probabilistic Learning: Theory and Algorithms (4)
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- COMPSCI 284A: Artificial Intelligence in Biology and Medicine (4)
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- COMPSCI 284C: Computational Systems Biology (4)
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- EECS 203A: Digital Image Processing (4)
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- EECS 215: Design and Analysis of Algorithms (4)
-
- EECS 227: Cyber-Physical System Design (4)
-
- EECS 240: Random Processes (4)
-
- EECS 242: Information Theory (4)
-
- EECS 250: Digital Signal Processing (4)
-
- EECS 282: Monolithic Microwave Integrated Circuit (MMIC) Analysis and Design II (4)
-
- ENGRCEE 250: Finite Element Method in Structural Engineering (4)
-
- ENGRCEE 270: Flood Risk and Modeling (4)
-
- ENGRCEE 273: Watershed Modeling (4)
-
- ENGRCEE 274: Climate Data Analysis (4)
-
- ENGRCEE 292: Wavelets in Hydrology, Engineering, and Geoscience (4)
-
- ENGRMAE 230A: Inviscid Incompressible Fluid Mechanics I (4)
-
- ENGRMAE 230B: Viscous Incompressible Fluid Mechanics II (4)
-
- ENGRMAE 270A: Linear Systems (4)
-
- STATS 210B: Statistical Methods II: Categorical Data (4)
-
- STATS 230: Statistical Computing Methods (4)
Research units at SDSU:
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- COMP 897: Doctoral Research (Variable Units)
-
- COMP 898: Practicum (Variable Units)
-
- COMP 899: Dissertation (Variable Units)
Research units at UCI:
-
- COMPSCI 298: Thesis Supervision (Variable Units)
-
- COMPSCI 299: Individual Study (Variable Units)
-
- ENGR 297: Doctor of Philospohy Dissertation Research (Variable Units)
-
- ENGR 299: Individual Research (Variable Units)
Program of Study
Unit Requirements: A total minimum of 66 units of course work, independent study, and research (including transfer credit) must be completed. These must be distributed as follows:
- Minimum 18 units of graduate-level coursework at SDSU
- Minimum 24 units of graduate level coursework at UCI
- Minimum 24 units of Research, Practicum, Dissertation and Graduate Seminar at either institution.
Summer Research Survey: Students are required to attend the annual 1-2 day summer seminar series featuring participating faculty members describing their current research and future projects.
Course Requirements:
Year 1 – SDSU Residency (total 18 units)
Core Courses at SDSU (9 units):
- MATH 636: Mathematical Modeling (3) or Math 638: Continuous Dynamical Systems and Chaos (3)
- MATH 693B: Advanced Computational PDE’s(3)
- COMP 605: Scientific Computing (3)
Elective Courses at SDSU (9 units): (Appropriate substitutions with approval of the program director and student research mentor)
- AE 601: Computational Fluid Mechanics (3)
- AE 641: Structural Optimization (3)
- AE 670: Optimal Control (3)
- BIOL 606: Biological Data (3)
- BIOL 668: Advanced Biological Data Aalysis (3)
- BIOL 740: Phylogenetic Systematics (3)
- BIOMI 608: Programming Problems in Bioinformatics (3)
- CHEM 711: Chemical Thermodynamics (3)
- CHEM 712: Chemical Kinetics (3)
- CHEM 713: Quantum Chemistry (3)
- CIVE 620: Traffic Flow and Control (3)
- CIVE 697: Traffic Signals Systems Operations and Control (3)
- COMP 526: Computational Methods for Scientists (3)
- COMP 607: Computational Database Fundamentals (3)
- COMP 670: Seminar – Problems in Computational Science (3)
- CS 600: Bioinformatics (3)
- CS 610: Computational Genomics (3)
- CS 653: Data Mining and Knowledge (3)
- CS 666: Advanced Distributed Systems (3)
- CS 696: Programming Problems in Bioinformatics (3)
- EE 645: Antennas and Wave Propogation (3)
- EE 657: Digital Signal Processing (3)
- EE 658: Advanced Digital Signal Processing (3)
- EE 665: Multimedia Wireless Networks (3)
- EE 740: Advanced Topics in Physical Electronics Antenna Design (3)
- MATH 693A: Advanced Computational Optimization (3)
- ME 610: Finite Element Methods (3)
- PHYS 604: Electricity and Magnetism (3)
- PHYS 606: Statistical Mechanics (3)
- PHYS 608: Classical Mechanics (3)
- PHYS 610: Quantum Mechanics (3)
- STATS 676: Bayesian Statistics (3)
- STATS 678: Survival Analysis (3)
- STATS 700: Data Analysis (3)
- STATS 701: Monte Carlo Methods (3)
- STATS 702: Data Mining (3)
Year 2 – UCI Residency (total 24 units)
Core Courses at UCI (16 units):- COMPSCI 206: Principles of Scientific Computing (4)
- COMPSCI 271: Introduction to Artificial Intelligence (4)
- ENGRCEE 290: Merging Models and Data (4)
- STATS 201: Statistical Methods for Data Analysis (4)
Elective Courses at UCI (8 units): (Appropriate substitutions with approval of the program director and student research mentor)
- BME 232: Introduction to Computational Biology (4)
- BME 233: Dynamic Systems in Biology and Medicine (4)
- BME 238: Spectroscopy and Imaging of Biological Systems (4)
- CHEM 230: Classical Mechanics and Electromagnetic Theory (4)
- CHEM 231A: Fundamentals of Quantum Mechanics (4)
- CHEM 231B: Applications of Quantum Mechanics (4)
- CHEM 232A: Thermodynamics and Introduction to Statistical Mechanics (4)
- CHEM 232B: Advanced Topic in Statistical Mechanics (4)
- CHEM 250: Computational Chemistry (4)
- CHEM 250L: Computational Chemistry Laboratory (4)
- COMPSCI 211A: Visual Computing (4)
- COMPSCI 221: Information Retrieval, Filtering, and Classification (4)
- COMPSCI 242: Parallel Computing (4)
- COMPSCI 261: Data Structures (4)
- COMPSCI 265: Graph Algorithms (4)
- COMPSCI 268: Introduction to Optimization (4)
- COMPSCI 273A: Machine Learning (4)
- COMPSCI 274A: Probabilistic Learning: Theory and Algorithms (4)
- COMPSCI 284A: Artificial Intelligence in Biology and Medicine (4)
- COMPSCI 284C: Computational Systems Biology (4)
- EECS 203A: Digital Image Processing (4)
- EECS 215: Design and Analysis of Algorithms (4)
- EECS 227: Cyber-Physical System Design (4)
- EECS 240: Random Processes (4)
- EECS 242: Information Theory (4)
- EECS 250: Digital Signal Processing (4)
- EECS 282: Monolithic Microwave Integrated Circuit (MMIC) Analysis and Design II (4)
- ENGRCEE 250: Finite Element Method in Structural Engineering (4)
- ENGRCEE 270: Flood Risk and Modeling (4)
- ENGRCEE 273: Watershed Modeling (4)
- ENGRCEE 274: Climate Data Analysis (4)
- ENGRCEE 292: Wavelets in Hydrology, Engineering, and Geoscience (4)
- ENGRMAE 230A: Inviscid Incompressible Fluid Mechanics I (4)
- ENGRMAE 230B: Viscous Incompressible Fluid Mechanics II (4)
- ENGRMAE 270A: Linear Systems (4)
- STATS 210B: Statistical Methods II: Categorical Data (4)
- STATS 230: Statistical Computing Methods (4)
Year 3+ – Research at Campus of Primary Faculty Advisor (total 24 units)
Research units at SDSU:- COMP 897: Doctoral Research (Variable Units)
- COMP 898: Practicum (Variable Units)
- COMP 899: Dissertation (Variable Units)
Research units at UCI:
- COMPSCI 298: Thesis Supervision (Variable Units)
- COMPSCI 299: Individual Study (Variable Units)
- ENGR 297: Doctor of Philospohy Dissertation Research (Variable Units)
- ENGR 299: Individual Research (Variable Units)