Statistics DSBA 2020/2021 — различия между версиями
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|| Assistant || [https://t.me/christopher_dzyura Christopher Dzyura] || [https://t.me/Lord_Fail Daniil Zhdankin] || [https://t.me/sofiika_hse Sofya Andreeva] | || Assistant || [https://t.me/christopher_dzyura Christopher Dzyura] || [https://t.me/Lord_Fail Daniil Zhdankin] || [https://t.me/sofiika_hse Sofya Andreeva] | ||
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| + | If you feel like something is missing from this page, please feel free to ping [https://t.me/i_pakhalko Ilya]. | ||
= Communication = | = Communication = | ||
Версия 06:14, 1 декабря 2020
Содержание
About
This page contains information about Statistics course at DSBA.
Actual syllabus can be found here.
Teachers and assistants
| Group | БПАД191 | БПАД192 | БПАД193 |
|---|---|---|---|
| Teacher | Peter Lukianchenko | ||
| Assistant | Christopher Dzyura | Daniil Zhdankin | Sofya Andreeva |
If you feel like something is missing from this page, please feel free to ping Ilya.
Communication
We use Telegram messenger to share files and Zoom meetings links.
Link to course channel: click
Lecture notes
Lecture 1 (01.09.2020). Welcome to Statistics!
Lecture 2 (08.09.2020). Axioms of probability. Basics of combinatorics. Geometric probability.
Lecture 3 (15.09.2020). Random variable. Discrete pdf. Expectation and variance. Bernoulli distribution. Bayes rule.
Lecture 4 (22.09.2020). Joint discrete distribution. Conditional probability. Covariance. Correlation.
Lecture 5 (29.09.2020) Covariance. Correlation. Continuous distribution.
Lecture 6 (06.10.2020) Continuous distribution.
Lecture 7 (13.10.2020) Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution.
Lecture 8 (27.10.2020) Data representation. Exponential, Poisson, and Uniform distributions. Continuity correction.
Lectures 9-10 (2-3.11.2020) Law of large numbers. Distribution of a function of random variable. Distribution of sample proportion. Chi-squared distribution.
Lecture 11 (9.11.2020) Point estimation.
Lecture 12 (16.11.2020) Likelihood function.
Lecture 14 (23.11.2020) Confidence intervals. Part 1
Lecture 15 (30.11.2020) Confidence intervals. Part 2
Seminar notes
Hometask
Hometask 1 (Deadline: 18.09.2020) Basics of Probability.
Hometask 2 (Deadline: 25.09.2020) Probabilities of Complex Events.
Hometask 3 (Deadline: 02.10.2020) Expectation and variance.
Hometask 7 (Deadline: 07.12.2020) Method of Moments. Least Squares. Maximum Likelihood. Confidence intervals.
Grading system
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.
