Computational Science Research Center

Computational Science Research Center

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:

      • 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):

      • MATH 636: Mathematical Modeling (3) or Math 638: Continuous Dynamical Systems and Chaos (3)
      • COMP 670: Problems in Computational Science (3) or 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)

    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)

    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)

    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)