Statistics DSBA 2020/2021
This page contains information about Statistics course at DSBA.
Actual syllabus can be found here.
Teachers and assistants
|Assistant||Christopher Dzyura||Daniil Zhdankin||Sofya Andreeva|
We use Telegram messenger to share files and Zoom meetings links.
Link to course channel: click
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.
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.
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.
- 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.