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VU Business Intelligence I (052411)
- «U:FIND»
Tutor:
First lecture: 04.03.2020 (attendance mandatory), 9:45, Last lecture: 24.06.2020.
Wed. wkly. from 09:45 - 12:45
Place: PC2, Währinger Straße 29 1.OG
Contents
The course is structured into five sections:
- Methodology and modeling techniques in business intelligence
- Data models in business intelligence and data quality
- Analysis of cross sectional data (data mining)
- Analysis of process data (process mining)
- Business intelligence tools (OLAP, Visualization, Text mining, Data Quality Management)
Dates
04.03. |
Preliminaries |
11.03. |
Introduction and Modeling |
18.03. |
Data Provisioning, Exercise 1, on 9:45 join the live stream on discord |
25.03. |
Data Description and Visualization |
01.04. |
Discussion Exercise 1, Process Mining 1, Exercise 2 |
08.04. |
Easter break |
15.04. |
Easter break |
22.04. |
Discussion Exercise 2, Social Network Mining, Exercise 3 |
29.04. |
Discussion Exercise 3, Text Mining |
06.05. |
Probability distributions, sample statistics, law of large numbers, central limit theorem |
13.05. |
Quantiles, confidence intervals, fitting probability distributions |
20.05. |
Conditional probability, hypothesis (A/B) testing, conditional probability distribution, prediction task |
27.05. |
Regression and classification task, cost functions, linear methods, Bayesian linear methods, Naive Bayes. Deadline Exercise 4 |
03.06. |
Tree-based methods, ensemble methods, support vector machines |
10.06. |
Neural networks and deep learning. Deadline Exercise 5 |
17.06. |
Discussion Exercises 4 and 5, backup |
24.06. |
Final exam: Online interview |
Live Stream
- 18 March 2020, 9:45 am: live stream in discord:
- Instructions HowTo
- Please read all the online material/slides beforehand (introduction, modeling, data provisioning) until then.
- We will discuss questions and the first exercise on data provisioning.
- Posting questions beforehand in the forum is encouraged.
- 25 March 2020, 9:45 am: live stream in discord: «invitation link»
- Please read slides on data description/visualization beforehand.
- 1 April, 9:45 am: live stream in discord
- 22 April, 9:45 am: live stream in discord
- 29 April, 9:45 am: live stream in discord
- 6 May, 9:45 am: live stream in discord
- 13 May, 9:45 am: live stream in discord
- 20 May, 9:45 am: live stream in discord
- 27 May, 9:45 am: live stream in discord
- 3 June, 9:45 am: live stream in discord
- 10 June, 9:45 am: live stream in discord
- 17 June, 9:45 am: live stream in discord
Deadlines:
- Exercise 4: 2020-05-28: 23:59
- Exercise 5: 2020-06-11: 23:59
Handouts
-
-
- Check out «Gapminder»
- Statistical Methods video lectures: «https://ucloud.univie.ac.at/index.php/s/Rib5HIFruBKbv5X»
Exercises
Old Exams
Questions exam: statistics and machine learning part
Grading
- 45% Exercises (1 person per team)
- 45% Online interview (1 person)
- 10% Presentation and discussion
Course is passed if >=50% of overall points
Literature
- W. Grossmann, S. Rinderle-Ma: Fundamentals of Business Intelligence. Springer-Verlag Berlin Heidelberg, doi: 10.1007/978-3-662-46531-8 (2015)
- Accompanying slides: «Book Website»
- Friedman, J., Hastie, T., Tibshirani, R. (2001). The elements of statistical learning (Vol. 1, No. 10). New York: Springer series in statistics
- Coursera course: Machine Learning, Stanford University
- Coursera course Neural Networks and Deep Learning, deeplearning.ai
- Coursera course: How to Win a Data Science Competition: Learn from Kagglers, National Research University Higher School of Economics
Letzte Änderung: 18.06.2020, 08:35 | 627 Worte