ST2187 Business analytics, applied modelling and prediction — различия между версиями

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=== Due Dates: ===  
 
=== Due Dates: ===  
  
BMU1 Oct 3
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| BMU2 || Nov 7 || 
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| BMU4 || Feb 6 || 
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BMU2 Nov 7
 
 
BMU3 Dec 5
 
 
BMU4 Feb 6
 
 
BMU5 Mar 6
 
 
BMU6 Apr 3
 
 
   
 
   
BCW1 Dec 31
 
 
BCW2 June 20
 
 
   
 
   
 
All BMU and BCW shoul be prepared and presented by pairs of students  
 
All BMU and BCW shoul be prepared and presented by pairs of students  
  
 
Best 3 BMU grants +5 to BU1 and BU2  
 
Best 3 BMU grants +5 to BU1 and BU2  
Best 3 BCW grants +10 to BU1 and BU2
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Best 3 BCW grants +10 to BU1 and BU2
  
 
== Home work schedule ==
 
== Home work schedule ==

Версия 23:49, 18 сентября 2020

Hi all! Here will be published the information about ST2187 Business analytics, applied modeling and prediction course

Aleksandr Khelvas
Evgeniya Tsybulko
Dr. James Abdey


The book will be edited here on overleaf.com

Grade Formula

BU==Business Unit of course Max=100

UoL==UoL Unit Max=100

BCWE==Business Course Work and Exam Max=100

BCFW== Business Course Final Work Max=100

BMU==Business Monthly Unit Max=100

Total score = 0.7*BU + 0.3*UoL

BU=BU1*0.5 + BU2*0.5

BU1=BCWE*0.4 + (BMU1+BMU2+BM3)*0.2

BU2=BCFW2*0.7 + (BMU4+BMU5+BM6)*0.1

For each BMUn all weekly homeworks should be positive.

For each homework student has the first attempt and if the result is not positive he should use the second one with new requirements.

Due Dates:

Текст заголовка Текст заголовка Текст заголовка
BMU1 Oct 3
BMU2 Nov 7
BMU3 Dec 5
BMU4 Feb 6
BMU5 Mar 6
BMU6 Apr 3
BCWE Dec 31
BCFW May 1


All BMU and BCW shoul be prepared and presented by pairs of students

Best 3 BMU grants +5 to BU1 and BU2 Best 3 BCW grants +10 to BU1 and BU2

Home work schedule

BHW - Home works for Business

LSEHW - Home works for LSE

Week Link BHW LSEHW Due Date
Week 1 http://wiki.cs.hse.ru/ST2187_Seminar_1 + Sept 21
Week 2 http://wiki.cs.hse.ru/ST2187_Seminar_2 + Sept 25
https://drive.google.com/file/d/1NDglH4KfC7L6AxPsHVZKcuwOf_7efoq7/view?usp=sharing + Sept 25

Home work files requirements

All student's files should have names

ST2187-2020-FIO-Seminar_NN-FILENAME.XXX

FIO - latin like IvanovII

Cyrillic and special symbols in file names are prohibited.

Course structure

Glossary

Lecture 1 Course structure. Requirements and deliverables. Semantic model of problem. Ontology of Case 1. Bakery (COS Block 1)

Seminar 1 Data. Structured data types. CSV, XML, JSON, YAML. Excel simplest applications. Bakery component description in YAML.

Lecture 2 Introduction to the course, overview, assessment, Monty Hall problem (LSE Block 1)

Seminar 2 ABCD analysis in excel. Histogram in Excel.

Lecture 3 Events in the time. Poisson point process.

Seminar 3 Tracks arriving schedule analysis and simulation.

Lecture 4

Seminar 4

Lecture 5 Descriptive statistics, relationships between variables, Tableau (LSE Blocks 2, 3 and 4)

Seminar 5

Lecture 6

Seminar 6

Lecture 7 Probability, distributions, decision trees (LSE Blocks 5, 6 and 7)

Seminar 7

Lecture 8

Seminar 8

Lecture 9

Seminar 9

Lecture 10

Seminar 10

BIBLIO

1. YAML from Tutorials Point (I) Pvt. Ltd. https://www.tutorialspoint.com/yaml/yaml_tutorial.pdf

2. YAML Ain’t Markup Language (YAML™) Version 1.2 3rd Edition https://yaml.org/spec/1.2/spec.pdf