Statistics DSBA 2019/2020 — различия между версиями

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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
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'''[https://www.dropbox.com/s/9t85bqwkv971mo8/hw5.pdf?dl=0 Homework 5]''' until 12:00, 12.11.2019

Версия 01:47, 4 ноября 2019

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
1
Peter Lukianchenko
2
Anastasia Tabisheva
3
Igor Fedorov
4
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.

Grading system

Fall = 0.3 * FallMock + 0.6 * WinterExam + 0.1 * FallHomework

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

Link

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 12:00, 12.11.2019