Statistics DSBA 2019/2020 — различия между версиями
Материал из Wiki - Факультет компьютерных наук
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| − | ! !! Date of lecture !! | + | ! !! Date of lecture !! Themes !! Link |
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| − | | <center>1</center> || 04/09/2019 || [https://www.dropbox.com/s/7k3zzy2dk3nvr0b/DSBA1920_Lect1.pdf?dl=0 link] | + | | <center>1</center> || 04/09/2019 || || [https://www.dropbox.com/s/7k3zzy2dk3nvr0b/DSBA1920_Lect1.pdf?dl=0 link] |
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| − | | <center>2</center> || 11/09/2019 || [https://www.dropbox.com/s/8wdr55jisj0r9tn/DSBA1920_Lect2.pdf?dl=0 link] | + | | <center>2</center> || 11/09/2019 || || [https://www.dropbox.com/s/8wdr55jisj0r9tn/DSBA1920_Lect2.pdf?dl=0 link] |
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| − | | <center>3</center> || 18/09/2019 || link | + | | <center>3</center> || 18/09/2019 || || [https://www.dropbox.com/s/9kmgmtv5medbjjf/DSBA1920_Lect3.pdf?dl=0 link] |
| + | |- | ||
| + | | <center>4</center> || 25/09/2019 || || [https://www.dropbox.com/s/p0mlfstdyuniwm4/DSBA1920_Lect4.pdf?dl=0 link] | ||
| + | |- | ||
| + | | <center>5</center> || 2/10/2019 || Continuous distribution. Standard normal distribution. Exponential distribution. Uniform distribution || [https://www.dropbox.com/s/afjgt4yby7ghhyg/DSBA1920_Lect5.pdf?dl=0 link] | ||
| + | |- | ||
| + | | <center>6</center> || 9/10/2019 || || [https://www.dropbox.com/s/36jqimz0nd9b19t/DSBA1920_Lect6.pdf?dl=0 link] | ||
| + | |- | ||
| + | | <center>7</center> || 16/09/2019 || Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution || [https://www.dropbox.com/s/krcfubc4vka0bl7/DSBA1920_Lect7.pdf?dl=0 link] | ||
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Версия 21:19, 26 октября 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
| Date of lecture | Themes | Link | |
|---|---|---|---|
| |
04/09/2019 | link | |
| |
11/09/2019 | link | |
| |
18/09/2019 | link | |
| |
25/09/2019 | link | |
| |
2/10/2019 | Continuous distribution. Standard normal distribution. Exponential distribution. Uniform distribution | link |
| |
9/10/2019 | link | |
| |
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 | |
|---|---|---|
| |
link | ? |
| |
link | 10:30, 25/09/2019 |
