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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
    Unlocks PSTAT 176 PSTAT 276 PSTAT 170
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    Instructors
    PALANIAPPAN V
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    Lecture

    HSSB 1173
    T R
    09:30 AM - 10:45 AM
    0 / 75

    Sections

    ILP 4211
    R
    11:00 AM - 11:50 AM
    0 / 25
    ILP 4107
    R
    12:00 PM - 12:50 PM
    0 / 25
    ILP 3316
    R
    13:00 PM - 13:50 PM
    0 / 25
    Enrollment Trends
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    Fall 2024 . Palaniappan V
    HSSB 1173
    M W
    17:00 PM - 18:15 PM
    Fall 2024 . Palaniappan V
    BUCHN1920
    M W
    14:00 PM - 15:15 PM
    Grading Trends (47)
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    PSTAT 160A Tan Ying Spring 2024 Total: 99
    PSTAT 160A Tan Ying Winter 2024 Total: 74
    Other PSTAT 160A Offerings
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    PSTAT 160A
    0 / 75 Enrolled
    Applied Stochastic Processes
    Tan Ying 4.5
    M W
    11:00 AM - 12:15 PM
    37.0% A
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