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  • PSTAT 160A

    • Applied Stochastic Processes . PSTAT 160A

    Discrete probability models. Review of discrete and continuous probability. Conditional expectations. Simulation techniques for random variables. Discrete time stochastic processes: random walks and Markov chains with applications to Monte Carlo simulation and mathematical finance. Introduction to Poisson process.

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    Prerequisites: Mathematics 4A or 4AI or 5A, Mathematics 8 or PSTAT 8, and PSTAT 120A. A minimum letter grade of C or better must be earned in each course.

    4

    Units

    Optional

    Grading

    1, 2

    Passtime

    None

    Level Limit

    Letters and science

    College
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    Instructors
    PALANIAPPAN V
    No info found
    Lecture
    BUCHN1920
    M W
    14:00 PM - 15:15 PM
    70 / 75
    Sections
    ILP 4105
    R
    12:00 PM - 12:50 PM
    24 / 25
    ILP 4211
    R
    13:00 PM - 13:50 PM
    22 / 25
    GIRV 2127
    R
    14:00 PM - 14:50 PM
    24 / 25
    Enrollment Trends
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    Winter 2025 . Palaniappan V
    HSSB 1173
    T R
    09:30 AM - 10:45 AM
    Fall 2025 . Palaniappan V
    ILP 2101
    T R
    17:00 PM - 18:15 PM
    Grading Trends (50)
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    PSTAT 160A Palaniappan V Winter 2025 Total: 73
    PSTAT 160A Palaniappan V Fall 2024 Total: 126
    Other PSTAT 160A Offerings
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    PSTAT 160A
    72 / 75 Enrolled
    Applied Stochastic Processes
    Palaniappan V
    M W
    17:00 PM - 18:15 PM
    38.0% A
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