Statistics DSBA 2020/2021 — различия между версиями
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'''[https://www.dropbox.com/s/41sobtq08y48947/4%20Lecture%20.pdf?dl=0 Lecture 4]''' (22.09.2020). Joint discrete distribution. Conditional probability. Covariance. Correlation. | '''[https://www.dropbox.com/s/41sobtq08y48947/4%20Lecture%20.pdf?dl=0 Lecture 4]''' (22.09.2020). Joint discrete distribution. Conditional probability. Covariance. Correlation. | ||
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Версия 20:17, 23 сентября 2020
Содержание
[убрать]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 | TODO | TODO |
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.
Seminar notes
Grading system
M1_score = 0.75 * FallExam + 0.25 * M1_Homeworks
Fall = 0.4 * M1_score + 0.4 * WinterMock + 0.2*FallHomeWork
Spring = 0.2 * SpringMock + 0.15 * Final exam + 0.5 * UoL + 0.025 * SpringHomework + 0.15 * SpringHomeWork
Final = 0.4 * Fall + 0.6 * Spring
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.
