Prof.zw.dr hab.Jerzy J. KORCZAK

Dane adresowe:

Instytut Informatyki Ekonomicznej
Uniwersytet Ekonomiczny,
53-345 Wrocław
ul. Komandorska 118/120
Polska

LSIIT,
CNRS Universite Strasbourg,
Bd. S. Brant
67-400 Illkirch
France

NPUA Lectures, Erasmus+

Lecture support materials for students of the National Polytechnic University of Armenia, Yerevan, May 2018

Content of the teaching programme:
Lecture 1: Artificial Intelligence in Business, Logistics and Transport
Lecture 2: Intelligent Decision Support Systems
Lecture 3: Business Data Mining
Lecture 4: Collective Intelligence

Information Technology in Management

The support materials for the MBA students.

Detailed program:

1. Business Processes Supporting with IT Systems 27.04 9:00-10:30 102CKU
2. Artificial Intelligence in Managerial Knowledge Representation and Discovery 27.04 10:45-12:15 102CKU
3. Smart Decision Support Systems and Big Data Mining 28.04 13:00-14:30; 14.45-16.15 102CKU
4. New approaches of IT usage, 11.05 10:45-12:15 103CKU
5. Development of IT systems 12.05 13:00-14.30; 14.45-16.15 103CKU

The enclosed materials refer to two my lectures: 2 and 3.

Evolutionary Art

Poster z wernisażu zorganizowanego podczas FedCSIS'2016 w Gdańsku.
Kilka wystawionych prac.

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Poster from the Varnishing-Day organized during the FedCSIS'2016 in Gdańsk. A few presented paintings generated by Eva.

Summer School on Data Science

Summer School on Data Science
Wrocław, September, 2016

Please find enclosed the support material for lectures on MINING OF FINANCIAL AND BUSINESS DATABASES

1. Overview of financial and business databases
2. Credit Scoring techniques
3. Analysis of World Economy
4. Modeling of customer profile
5. Time series - research projects

To get familiar with Orange Data Mining Platform the material includes a few sets of slides on Orange usage as well as experimental datasets.

Lecture support "Information Technology in Finance" for BSF III students

Lecture program (only a part of my lectures):
1. Introduction to data mining
2. Methodology of data mining
3. Data preprocessing techniques
4. Classification and rule dicovery
5. Clustering
6. Selected research and applications areas - AML,...

Please download and install:
- Orange (http://orange.biolab.sl)

Date of assignment presentations:
Assignment 1a: January 9, 2019
Assignment 1b: January 9, 2019

Metody i techniki multimedialne w dydaktyce

Materiały do wykładu dla studentów Kursu Pedagogicznego Studium Doktoranckiego WUE.

Mining of Financial Databases

Lecture support for students of Master Studies in Finance, II year.

    The provided support is only related to two my lectures and labs on Clustering and Outliers. The second part of materials is available on dr Michalak Web page: http://krzysztof-michalak.pl/students_201718_02_mfd/index.html.

Management Information Systems for MBA Business Administration

Lecture and Computer Lab materials for MBA-BA students:

  1. Sylabus MIS
  2. MBA-BA-MIS-Information Systems
  3. MBA-BA-MIS-Business Intelligence, Cloud Computing and Big Data
  4. MBA-BA-MIS-Lab1-2-SQL-Databases
  5. Oracle-SQL-Tutorial
  6. DescriptionSampleDatabases
  7. MBA-BA-MISLab3-4-DM-Algorithms -Orange

H-Adviser program

H-Adviser is a prototype, version beta, to be used to discover trading expertise using wavelets algorithm and neural gas model. In current version, H-Adviser can only be used by students for testing purposes To do so please download the enclosed time series.

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