Statistics DSBA 2021/2022

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Actual syllabus can be found here.

Teachers and assistants

Group БПАД201 БПАД202 БПАД203 БПАД204
Teacher Peter Lukianchenko
Assistant Ivanov Anton Varvara Erinova Egor Nikitin Kseniia Shilova

Communication

We use Telegram messenger to share files and Zoom meetings links.

Lecture notes

Lecture 1 (01.09.2021). Welcome to Statistics!

Lecture 2 (08.09.2021). Axioms of probability. Basics of combinatorics. Geometric probability.

Lecture 3 (15.09.2021). Random variable. Discrete pdf. Expectation and variance. Bernoulli distribution. Bayes rule.

Lecture 4 (22.09.2021). Joint discrete distribution. Conditional probability. Covariance. Correlation.

Lecture 5 (29.09.2021) Covariance. Correlation. Continuous distribution.

Lecture 6 (06.10.2021) Continuous distribution.

Lecture 7 (13.10.2021) Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution.

Lecture 8 (27.10.2021) Data representation. Exponential, Poisson, and Uniform distributions. Continuity correction.

Lectures 9-10 (2-3.11.2021) Law of large numbers. Distribution of a function of random variable. Distribution of sample proportion. Chi-squared distribution.

Seminar notes

Interim assessment (1 module)

0.7 * FallMock (October Midterm) + 0.3 * First module Home assignments

Interim assessment (4 module)

0.17 * 2nd-4th module Home assignments + 0.09 * FinalExam (June Exam) + 0.16 * Interim assessment (1 module) + 0.12 * SpringMock (Spring Midterm) + 0.3 * University of London exams (May Exam) + 0.16 * WinterExam (December Exam)

All marks are out of 100 points.

Rules

• Homework submitted after the general deadline will not be accepted.
• The common mistakes made in the homework will be discussed during the seminars.
• Any fact of cheating or breach of academic integrity will result in receiving a "0" (zero) for this work.