Statistics DSBA 2020/2021 — различия между версиями
м (→Added Chris Dzyura as a teacher's assistant at group 191) |
(→Teachers and assistants) |
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|| Teacher ||colspan="3"| [https://www.hse.ru/org/persons/14276760 Peter Lukianchenko] | || Teacher ||colspan="3"| [https://www.hse.ru/org/persons/14276760 Peter Lukianchenko] | ||
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− | || Assistant || [https://t.me/christopher_dzyura Christopher Dzyura] || | + | || Assistant || [https://t.me/christopher_dzyura Christopher Dzyura] || [https://t.me/Lord_Fail Daniil Zhdankin] || [https://t.me/sofiika_hse Sofya Andreeva] |
|} | |} | ||
= Communication = | = Communication = | ||
+ | |||
+ | We use Telegram messenger to share files and Zoom meetings links. | ||
+ | |||
+ | Link to course channel: [https://t.me/stathard20 click] | ||
= Lecture notes = | = Lecture notes = | ||
+ | |||
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+ | '''[https://www.dropbox.com/s/9rfctx62918trey/1%20Lect%20Sept1_d.pdf?dl=0 Lecture 1]''' (01.09.2020). Welcome to Statistics! | ||
+ | |||
+ | '''[https://www.dropbox.com/s/ttiuqmi7nu9e641/Lecture%202.pdf?dl=0 Lecture 2]''' (08.09.2020). Axioms of probability. Basics of combinatorics. Geometric probability. | ||
+ | |||
+ | '''[https://www.dropbox.com/s/26t4yx47iijxmq9/3.%20Stat_3%20%28ppt%2097-2003%29_d.pdf?dl=0 Lecture 3]''' (15.09.2020). Random variable. Discrete pdf. Expectation and variance. Bernoulli distribution. Bayes rule. | ||
+ | |||
+ | '''[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/1q0ac1abnpw9tne/5%20Statistics_Lect%20sept%2029_done%20%20-%20%20Compatibility%20Mode.pdf?dl=0 Lecture 5]''' (29.09.2020) Covariance. Correlation. Continuous distribution. | ||
+ | |||
+ | = Seminar notes = | ||
+ | |||
+ | |||
+ | '''[https://www.dropbox.com/s/on7mye1f5kpqq0h/sem%201%20Afanasev.pdf?dl=0 Seminar 1]''' | ||
+ | |||
+ | '''[https://www.dropbox.com/s/9916r2ewhbjcj5b/sem%203%20Afanasev.pdf?dl=0 Seminar 3]''' | ||
+ | |||
+ | '''[https://www.dropbox.com/s/vs5vrc1b2kwkbxd/sem%204%20Afanasev.pdf?dl=0 Seminar 4]''' | ||
+ | |||
+ | '''[https://www.dropbox.com/s/c8xlztowczpsv2m/sem%205%20Afanasev.pdf?dl=0 Seminar 5]''' | ||
+ | |||
+ | = Hometask = | ||
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+ | '''[https://www.dropbox.com/s/zt1kvle0soj68h0/HW1.pdf?dl=0 Hometask 1]''' (Deadline: 18.09.2020) Basics of Probability. | ||
+ | |||
+ | '''[https://www.dropbox.com/s/i0toc0bae2tk5mm/HW2.pdf?dl=0 Hometask 2]''' (Deadline: 25.09.2020) Probabilities of Complex Events. | ||
+ | |||
+ | '''[https://www.dropbox.com/s/5o71fadci8gg0dm/HW3.pdf?dl=0 Hometask 3]''' (Deadline: 02.10.2020) Expectation and variance. | ||
= Grading system = | = Grading system = |
Версия 21:43, 3 октября 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 |
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.
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.
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.