All Courses

  • BIM 102; Quantitative Cell Biology

    Biomedical Engineering

    MW, 10-11:50
    Professor Yamada – 4 units
    Prerequisite: Biological Sciences 2A; Chemistry 8B.
    Lecture: Lecture: 4 hours. Fundamental cell biology for bioengineers. Emphasis on physical concepts underlying cellular processes including protein trafficking, cell motility, cell division and cell adhesion. Current topics including cell biology of cancer and stem cells will be discussed.

  • BIM 202; Cell and Molecular Biology for Engineers

    Biomedical Engineering

    MW, 2:10-4
    Professor Yamada – 4 units
    Prerequisite: Biological Sciences 104 or Molecular and Cellular Biology 121
    Lecture: Lecture: 4 hours. Preparation for research and critical review in the field of cell and molecular biology for biomedical or applied science engineers. Emphasis on biophysical and engineering concepts intrinsic to specific topics including ...

  • ECI 205: Continuum Mechanics

    Civil & Environmental Engineering

    T-Th, 4:10-6
    Professor Dafalias – 3 Units
    Prerequisite: EEC 201 (Introduction to Theory of Elasticity)
    Lecture: 3 hours.  Tensor formulation of the field equations for continuum mechanics, including large deformation effects. Invariance and symmetry requirements. Introduction to nonlinear thermoelasticity and thermodynamics. Solution of three-dimensional problems. Selected topics.

  • ECI 243A: Water and Waste Treatment

    Civil & Environmental Engineering

    MW, 2:10-4
    Professor Young -4 Units
    Prerequisite: ECI 148A (Water Quality Management) or the equivalent
    Lecture: 4 hours.  Characteristics of water and airborne wastes; treatment processes and process kinetics; treatment system design.

  • ECI 243B: Water & Waste Treatment

    Civil & Environmental Engineering

    MW, 10-11:50
    Professor Loge
    Units – 4
    Prerequisite: ECI 243A
    Lecture: 4 hour.   Continuation of course 243A. Aeration, thickening, biological processes, design of biological treatment systems.

  • ECI 245A: Applied Environmental Chemistry

    Civil & Environmental Engineering

    MW, 12:10-2
    Professor Young -4 Units
    Prerequisite: Engineering 105, Chemistry 2B or the equivalent, course 140; Chemistry 2C or 107A recommended.
    Lecture: 4 hours.  Chemistry of natural and polluted waters. Topics include chemical, kinetic and equilibrium principles, redox reactions, gas solution and solid-solution equilibria, thermodynamics, carbonate systems, coordination chemistry, interfacial ...

  • ECI 280: Nonlinear Finite Elements for Elastic-Plastic Problems

    Civil & Environmental Engineering

    T-Th, 10-11:50
    Professor Jeremic – 4 Units
    Prerequisite: Consent of instructor.
    Lecture: 4 hours.  State of the art finite element methods and tools for elasticplastic problems, including computational techniques based on the finite element method and the theory of elastoplasticity.

  • ECI 289F: Meshfree Methods and Partition of Unity Finite Elements

    Civil & Environmental Engineering

    Professor: Sukumar -4 Units
    Prerequisite: Consent of instructor.
    Lecture: 4 hours. Advanced discretization techniques such as meshfree methods and partition of unity finite elements for the Galerkin solution of boundary-value problems in solid
    and structural mechanics. Application of meshfree and extended finite element methods in computational fracture.

  • ECS 220: Theory of Computation

    Computer Science

    T-Th, 10:30-12
    Professor Franklin – 4 Units
    Prerequisite: ECS 120 (Theory of Computation) and ECS 122A (Algorithm Design and Analysis)
    Lecture: 3 hour.  Discussion:  1 hour.  Time and space complexity classes. Reductions, completeness, and the role of randomness. Logic and undecidability.

  • ECS 222A: Design and Analysis of Algorithms

    Computer Science

    T-Th; 4:30-6
    Professor Gusfield – 4 Units
    Prerequisite: ECS 122A (Algorithm Design and Analysis),  Statistics 131A (Introduction to Probability Theory) recommended.
    Lecture: 3 hours. Discussion: 1 hour.
    Techniques for designing efficient algorithms, analyzing their complexity and applying these algorithms to a broad range of application settings. Methods for recognizing and dealing with hard problems ...

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