Topic outline

  • General

    Tentative schedule, including references to the book: (Subject to change. The schedule is updated as the course goes on)

    9.1. Representing statistical data (Chapters 1-2) (slides: 1-34)

    11.1. Random events and probability distributions (3.1-5) (slides: 35-63)

    16.1. Dependence and conditional probability (3.6-8) (slides: 64-88)

    18.1. Random variables (4.1-2, 5.1, 5.4, 5.6) (slides: 89-112)

    23.1. Expected values (4.4-5) (slides: 113-130)

    25.1. Variance and covariance (4.6-8) (slides: 131-155)

    30.1. The normal distribution (5.5, 6.3) (slides: 156-176)

    1.2. Sampling statistics (5.8, 6.4-5) (slides: 177-201)

    6.2. Parameter estimation (7.1-2) (slides: 202-228)

    8.2. Interval estimates and hypothesis testing (7.3, 8.1-3) (slides: 228-250)

    13.2. Hypothesis testing and linear regression (8.4, 9.1-2) (slides: 251-280)

    15.2. Repetition and curiousities (summary slides)



    Course literature:

    Sheldon Ross, Introduction to Probability and Statistics for Engineers and Scientists

    https://www.sciencedirect.com/book/9780123948113/introduction-to-probability-and-statistics-for-engineers-and-scientists

    (available for free on the Aalto network)


    Complementary material:

    Explorative exercises, homework exercises, and slides updated weekly on the course homepage under Materials.