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

Open lecture on " Artificial Intelligence in Logistics and Transport"

The lecture will be given for students of International University of Logistics and Transport, Wrocław, Wednesday, March 27, 2019, 11:30, MWSLiT, room 206

Open lecture on " Artificial Intelligence in Logistics and transport"

The lecture will be given for students of International University of Logistics and Transport, Wrocław, Wednesday, March 27, 2019, 11:30, MWSLiT, sala 206

HUST Lectures, Erasmus+

Support materials of my lectures and seminars at the Hanoi
University of Science and Technology, February 2019

1: Presentation of the International University of Logistics and Transport in Wrocław
2: Data Mining Applications - Clustering
3: Collective Intelligence in Information Systems

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,...

Lecture dates: Oct 18, Nov 8 and Nov 15
Room: CKU 208, 11:15:12:45

Dates of computer labs: Nov 5, Nov 12 and Nov 19, 2019
Lab 118Z, 15:00 16:30, 16:45-18:15

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

Date of assignment submissions:
Assignment 2: Nov 18, 2019

Selected presentations: Nov 19, 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.

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