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  • PSTAT 135

    • Big Data Analytics . PSTAT 135

    Basics in distributed data storage, retrieval, processing and cloud computing. Overview of methods for analyzing big data from both high dimensional statistics and machine learning - topics chosen from penalized regression, classification/clustering, dimension reduction, random projections, kernel methods, network clustering, graph analytics, supervised and unsupervised learning among others.

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    Prerequisites: PSTAT 131 or PSTAT 231 or Computer Science 165B; and Computer Science 9 (preferred) or Computer Science 16. 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
    These majors only finms stsds actsc stsap stats
    Instructors
    OH SANG-YUN
    Sang-Yun Oh
    2.3
    26 reviews
    Lecture
    NH 1006
    T R
    15:30 PM - 16:45 PM
    100 / 100 Full
    Sections
    PHELP1513
    M
    16:00 PM - 16:50 PM
    20 / 20 Full
    PHELP1513
    M
    12:00 PM - 12:50 PM
    20 / 20 Full
    PHELP1513
    M
    13:00 PM - 13:50 PM
    20 / 20 Full
    PHELP1513
    M
    14:00 PM - 14:50 PM
    20 / 20 Full
    PHELP1513
    M
    15:00 PM - 15:50 PM
    20 / 20 Full
    Enrollment Trends
    Past Enrollment Trends (1)
    Winter 2024 . Oh Sang-Yun
    NH 1006
    T R
    15:30 PM - 16:45 PM
    Grading Trends (6)
    See All
    PSTAT 135 Oh Sang-Yun Winter 2024 Total: 100
    PSTAT 135 Oh Sang-Yun Winter 2023 Total: 93
    Rate My Professors
    See All
    26
    2.3
    PSTAT134 . Oh Sang-Yun 11 Months Ago

    the way the class is weighted it is easy to get a good grade without doing that much however class was so boring i did not learn anything in class and I was confused all quarter long. I came away from this class feeling like I learned absolutely nothing.

    0 helpful 0 unhelpful
    PSTAT126 . Oh Sang-Yun 1 Year, 2 Months Ago

    Oh has a unique talent for ignoring student feelings and never bothers with such trivial matters as seeing things from their perspective. Truly, a 'remarkable' choice for anyone seeking an 'unforgettable' learning experience. Highly 'recommended' for those who appreciate the finer nuances of educational indifference.

    0 helpful 0 unhelpful
    PSTAT126 . Oh Sang-Yun 1 Year, 2 Months Ago

    He has a unique talent for ignoring student feelings and never bothers with such trivial matters as seeing things from their perspective. Truly, a 'remarkable' choice for anyone seeking an 'unforgettable' learning experience. Highly 'recommended' for those who appreciate the finer nuances of educational indifference.

    0 helpful 0 unhelpful
    PSTAT134 . Oh Sang-Yun 1 Year, 4 Months Ago

    This man eats boring pills for breakfast, lunch, and dinner.

    0 helpful 0 unhelpful
    PSTAT126 . Oh Sang-Yun 2 Years Ago

    Prof.Oh is approachable and organized. Grade is determined by 2 exams (25% and 35%), and 40% hw. One downside is his complicated lectures; the material is not the most difficult if you read the textbook but Prof.Oh's lectures make them seem more complex. The exams were conceptual and much easier than the lectures. The class uses R language.

    0 helpful 0 unhelpful
    PSTAT134 . Oh Sang-Yun 2 Years Ago

    I had Oh for 134 - he's been a good prof. Very accessible through Nectir if you need help on HW. I will say his HWs are VERY long and were extremely difficult as I'm pretty new to Python, but you get 2 weeks to do them and can work with others. Exams are easy and the final is a simple project, meaning I've done much more learning than cramming.

    0 helpful 0 unhelpful
    See all 26 reviews
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