Statistics DSBA 2019/2020 — различия между версиями
TKuskarov (обсуждение | вклад) (All lect8) |
TKuskarov (обсуждение | вклад) (hw6) |
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'''[https://www.dropbox.com/s/kml62ahz0gk1elv/hw4.pdf?dl=0 Homework 4]''' until 10:30, 16.10.2019 | '''[https://www.dropbox.com/s/kml62ahz0gk1elv/hw4.pdf?dl=0 Homework 4]''' until 10:30, 16.10.2019 | ||
− | '''[https://www.dropbox.com/s/9t85bqwkv971mo8/hw5.pdf?dl=0 Homework 5]''' until 12:00, | + | '''[https://www.dropbox.com/s/9t85bqwkv971mo8/hw5.pdf?dl=0 Homework 5]''' until 10:30, 13.11.2019 |
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+ | '''[https://www.dropbox.com/s/x78w28os9a7vb7q/hw6.pdf?dl=0 Homework 6]''' until 12:00, 19.11.2019 |
Версия 16:14, 12 ноября 2019
Содержание
About
This page contains information about Statistics course at DSBA.
Actual syllabus can be found here.
Teachers and assistants
Group | БПАД181 | БПАД182 | |
---|---|---|---|
Teacher | Peter Lukianchenko | ||
Assistant | Anastasia Tabisheva | Igor Fedorov |
Office hours
Teacher/Assistant | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | |
---|---|---|---|---|---|---|---|
|
Peter Lukianchenko | ||||||
|
Anastasia Tabisheva | ||||||
|
Igor Fedorov | ||||||
|
Tagir Kuskarov |
Communication
We use Telegram messenger to share files.
Link to course channel: [1]
Lecture notes
Lecture 1 (4.09.2019). Welcome to Statistics!
Lecture 2 (11.09.2019). Axioms of probability. Basics of combinatorics.
Lecture 3 (18.09.2019). Random variable. Discrete pdf. Expectation and variance. Bernoulli distribution. Bayes rule.
Lecture 4 (25.09.2019). Joint discrete distribution. Conditional probability. Covariance. Correlation.
Lecture 5 (2.10.2019). Continuous distribution. Standard normal distribution. Exponential distribution. Uniform distribution
Lecture 6 (9.10.2019). Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution
Lecture 7 (16.10.2019). Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution.
Lecture 8 (06.11.2019). Data representation. Exponential, Poisson, and Uniform distributions. Continuity correction.
Grading system
Fall = 0.3 * FallMock + 0.6 * WinterExam + 0.05 * FallHomework + 0.05 * FallQuizzes
Spring = 0.15 * SpringMock + 0.4 * Final exam + 0.4 * UoL + 0.05 * SpringHomework
Final = 0.4 * Fall + 0.6 * Spring
All marks are out of 100 points.
Examination types
- Home assignments and Quizzes
- FallMock (October Midterm)
- WinterExam (December Exam)
- SpringMock (spring)
- University of London exams (May Exam)
- FinalExam (June Exam).
Results
Homework assignments
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.
Problems
Homework 2 until 10:30, 25.09.2019
Homework 3 until 10:30, 9.10.2019
Homework 4 until 10:30, 16.10.2019
Homework 5 until 10:30, 13.11.2019
Homework 6 until 12:00, 19.11.2019