Statistics DSBA 2019/2020

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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

Date of lecture Themes Link
1
04/09/2019 link
2
11/09/2019 link
3
18/09/2019 link
4
25/09/2019 link
5
2/10/2019 Continuous distribution. Standard normal distribution. Exponential distribution. Uniform distribution link
6
9/10/2019 link
7
16/09/2019 Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution link

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

181 182

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

Link Deadline
1
link  ?
2
link 10:30, 25/09/2019