Graduate Courses

VARIABLE UNIT COURSE REQUEST

INTERDISCIPLINARY (GRADUATE COURSES)

  • SCI 501. Graduate Orientation (1 unit).
    An orientation to environmental systems for graduate students. A discussion of graduate program development including research and thesis preparation. May not be used as credit toward 30 units required for Master's Degree. Prerequisite: Graduate Standing.

  • SCI 530. Environmental Systems Data Collection and Analysis (4 units).
    Principles of experimental design for analysis of environmental systems. Statistical analysis of data from environmental systems. Survey of data collection equipment and techniques utilized in the study of environmental systems. Design and implementation of a data collection program. Prerequisites: FORTRAN programming, probability and statistics, graduate standing. Two one hour lectures and two three-hour laboratories per week.

  • SCI 690. Thesis (1-6 units).
    Preparation of written thesis required for the graduate degree.

  • SCI 697. Selected topics in Environmental Systems (1-4 units).
    Advanced study of selected topics in environmental systems. May be repeated with different topic. Prerequisite: SCI 530.

  • SCI 698. Graduate Colloquium in Environmental Systems (1-4 units).
    Consideration of selected topics in environmental systems. May be repeated.

  • SCI 699. Independent Study in Environmental Systems (1-3 units).
    Advanced individual study of selected topics in environmental systems. Conference, reading, and research. May be repeated for credit. Prerequisite: SCI 530.

MATHEMATICAL MODELING (GRADUATE COURSES)

  • MATH 521. Applied Stochastic Processes (3 units).
    Markov processes, Kolmogorov forward and backward equations, birth and death processes, diffusion processes, renewal theory, Markov decision theory, game theory, stochastic control theory, applications. Prerequisites: MATH 313, 421.

  • MATH 561. Dynamic Systems (4 units).
    An in-depth treatment of linear and non-linear systems of difference equations and differential equations as applied to mathematical models of real dynamic phenomena. Prerequisites: MATH 313.

  • MATH 564. Applied Optimization (4 units).
    Linear programming; dynamic programming the variation of a functional; Euler's equation; fixed and variable and point problems; concepts of control theory; optimal control, including the maximum principle; applications. Prerequisite: MATH 561.

  • MATH 580. Selected Topics in Mathematics (1-3 units).
    Study of selected topics of current interest in Mathematics. May be repeated. Prerequisite: Consent of the instructor.

  • MATH 595. Modeling Practicum (3 units).
    Practical experience in model construction and analysis.