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

Материал из Wiki - Факультет компьютерных наук
Перейти к: навигация, поиск
(не показано 13 промежуточных версии этого же участника)
Строка 86: Строка 86:
 
| Week 3 || [[BMU1 | BMU1]] || + || || Oct 3
 
| Week 3 || [[BMU1 | BMU1]] || + || || Oct 3
 
|-
 
|-
|  Week 4  || http://wiki.cs.hse.ru/ST2187_Seminar_4  ||   ||+ || Oct 10  
+
|  Week 4  || http://wiki.cs.hse.ru/ST2187_Seminar_4  || || || Oct 10  
 
|-
 
|-
|  Week 5  || http://wiki.cs.hse.ru/ST2187_Seminar_4 ||  ||+ || Oct 10
+
|  Week 5  || http://wiki.cs.hse.ru/ST2187_Lecture_5 ||  ||+ || '''Oct 26'''
 +
|-
 +
|  Week 6  || http://wiki.cs.hse.ru/ST2187_Lecture_6#Home_work  ||  + ||  || Nov 2
 
|}
 
|}
  
Строка 100: Строка 102:
  
 
Cyrillic and special symbols in file names are prohibited.
 
Cyrillic and special symbols in file names are prohibited.
 +
 +
 +
All Seminar's Videos will be shared here https://drive.google.com/drive/folders/1wr5vU3pffMXINdscWWFeO0U8D5IuglZs?usp=sharing
  
 
== Course structure ==
 
== Course structure ==
Строка 123: Строка 128:
 
[[ST2187 Lecture 5| '''Lecture 5''' Descriptive statistics, relationships between variables, Tableau (LSE Blocks 2, 3 and 4)  ]]
 
[[ST2187 Lecture 5| '''Lecture 5''' Descriptive statistics, relationships between variables, Tableau (LSE Blocks 2, 3 and 4)  ]]
  
[[ST2187 Seminar 5 | '''Seminar 5'''  ]]
+
[[ST2187 Seminar 5 | '''Seminar 5''' Bakery Orders Dataset. ]]
  
[[ST2187 Lecture 6 | '''Lecture 6'''  ]]
+
[[ST2187 Lecture 6 | '''Lecture 6'''  Lecture 6. Event-Driven Simulation. Vehicles arriving and departure in bakery case. SimPy library for Python. ]]
  
[[ST2187 Seminar 6 | '''Seminar 6''']]
+
[[ST2187 Seminar 6 | '''Seminar 6''' ABCD analysys for bakery in Python.]]
  
[[ST2187 Lecture 7 | '''Lecture 7''' Probability, distributions, decision trees (LSE Blocks 5, 6 and 7)   ]]
+
[[ST2187 Lecture 7 | '''Lecture 7''' Probability, distributions, decision trees (LSE Blocks 5, 6 and 7) 31 Oct 2020 ]]
  
[[ST2187 Seminar 7 | '''Seminar 7''']]
+
[[ST2187 Seminar 7 | '''Seminar 7''' Tableau data visualisation for Bakery Orders Dataset]]
 
+
[[ST2187 Lecture 8 | '''Lecture 8'''  ]]
+
[[ST2187 Lecture 8 | '''Lecture 8'''  31 Oct 2020]]
  
 
[[ST2187 Seminar 8 | '''Seminar 8''' ]]
 
[[ST2187 Seminar 8 | '''Seminar 8''' ]]
  
[[ST2187 Lecture 9 | '''Lecture 9'''   ]]
+
[[ST2187 Lecture 9 | '''Lecture 9''' 31 Oct 2020 ]]
  
 
[[ST2187 Seminar 9 | '''Seminar 9''']]
 
[[ST2187 Seminar 9 | '''Seminar 9''']]
  
[[ST2187 Lecture 10 | '''Lecture 10'''   ]]
+
[[ST2187 Lecture 10 | '''Lecture 10   Sampling, sampling distributions, confidence intervals, hypothesis testing (Blocks 8, 9 and 10)''' 28 Nov 2020  ]]
  
 
[[ST2187 Seminar 10 | '''Seminar 10''']]
 
[[ST2187 Seminar 10 | '''Seminar 10''']]
 +
 +
[[ST2187 Lecture 11 | '''Lecture 11''' 28 Nov 2020  ]]
 +
 +
[[ST2187 Seminar 11 | '''Seminar 11''']]
 +
 +
[[ST2187 Lecture 12 | '''Lecture 12''' 28 Nov 2020  ]]
 +
 +
[[ST2187 Seminar 12 | '''Seminar 12''']]
 +
 +
[[ST2187 Lecture 13 | '''Lecture 13''' 5 Dec 2020  ]]
 +
 +
[[ST2187 Seminar 13 | '''Seminar 13''' ]]
 +
 +
[[ST2187 Lecture 14 | '''Lecture 14 Regression analysis (Blocks 11 and 12) ''' 5 Dec 2020  ]]
 +
 +
[[ST2187 Seminar 14 | '''Seminar 14''' ]]
  
 
== BIBLIO ==
 
== BIBLIO ==

Версия 19:17, 29 октября 2020

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

Aleksandr Khelvas
Evgeniya Tsybulko
Dr. James Abdey, invited lecturer


The book will be edited here on overleaf.com

Grade Formula

Terms

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

Formula

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:

Reporting Due Date Comments
BMU1 Oct 3 Ready for execution
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 Unit

UoL - Home works for UoL

Week Link BHW UoL 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
Week 3 BMU1 + Oct 3
Week 4 http://wiki.cs.hse.ru/ST2187_Seminar_4 + Oct 10
Week 5 http://wiki.cs.hse.ru/ST2187_Lecture_5 + Oct 26
Week 6 http://wiki.cs.hse.ru/ST2187_Lecture_6#Home_work + Nov 2

Home work files requirements

All student's files should have names

ST2187-2020-FIO1-FIO2-Seminar_NN-FILENAME.XXX

FIO1 and FIO2 - latin like IvanovII

Cyrillic and special symbols in file names are prohibited.


All Seminar's Videos will be shared here https://drive.google.com/drive/folders/1wr5vU3pffMXINdscWWFeO0U8D5IuglZs?usp=sharing

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 Processes, actions and events. BPMN.

Seminar 3 Tracks arriving schedule analysis and simulation

Lecture 4 Petri Nets. PN in event-driven simulation. Vehicles arriving and departure in bakery case. Shipping plan

Seminar 4 Tracks arriving schedule analysis and simulation in BPMN.

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

Seminar 5 Bakery Orders Dataset.

Lecture 6 Lecture 6. Event-Driven Simulation. Vehicles arriving and departure in bakery case. SimPy library for Python.

Seminar 6 ABCD analysys for bakery in Python.

Lecture 7 Probability, distributions, decision trees (LSE Blocks 5, 6 and 7) 31 Oct 2020

Seminar 7 Tableau data visualisation for Bakery Orders Dataset

Lecture 8 31 Oct 2020

Seminar 8

Lecture 9 31 Oct 2020

Seminar 9

Lecture 10 Sampling, sampling distributions, confidence intervals, hypothesis testing (Blocks 8, 9 and 10) 28 Nov 2020

Seminar 10

Lecture 11 28 Nov 2020

Seminar 11

Lecture 12 28 Nov 2020

Seminar 12

Lecture 13 5 Dec 2020

Seminar 13

Lecture 14 Regression analysis (Blocks 11 and 12) 5 Dec 2020

Seminar 14

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

3. BPMN 2.0 - Business Process Model and Notation http://www.bpmb.de/index.php/BPMNPoster

4.Real-Life BPMN: Using BPMN 2.0 to Analyze, Improve, and Automate Processes in Your Company 1st Edition by Jakob Freund, Bernd Rücker ISBN-13: 978-1480034983