Search results for: WASTEWATER TREATMENT, MATHEMATICAL MODELLING, DATA MINING, ARTIFICIAL INTELLIGENCE, MULTI-CRITERIA AP- PROACH, CONTROL STRATEGIES

• Nutrient removal in municipal wastewater treatment

  e-Learning Courses

  • E. Zaborowska

  This series of lectures and interactive teaching sessions will cover all the important aspects of nutrient removal in municipal wastewater treatment. There will be five sessions. The topics of the sessions are: 1) Nutrient removal – why, how and what has been achieved?; 2) Biological treatment processes and conventional nitrogen removal; 3) Shortcut nitrogen removal processes and climate implication of nitrogen removal; 4) Biological...

• Artificial Intelligence

  e-Learning Courses

  • J. Dembski
  • M. Smiatacz

• Artificial intelligence

  e-Learning Courses

  • J. Dembski
  • M. Smiatacz

• Data Mining 2022/2023

  e-Learning Courses

  • W. Waloszek

  This is a web page for our course in Data Mining.

• Data Mining 2021/2022

  e-Learning Courses

  • W. Waloszek

  This is a web page for our course in Data Mining.

• WASTEWATER TREATMENT AND DISPOSAL OF SEWAGE SLUDGE 2021

  e-Learning Courses

  • I. E. Kłosowska-Chomiczewska

  The aim of the course is to learn the characteristics of different types of wastewater depending on their origin (industrial sector) as well as introduce the commonly used technologies for removing pollutants from wastewater and get to know an alternative methods. Another goal is to understand the problems of management of sewage sludge generated in municipal wastewater treatment plants and industrial plants.

• 2022 Wastewater Treatment and Disposal of Sewage Sludge

  e-Learning Courses

  • I. E. Kłosowska-Chomiczewska

  The aim of the course is to learn the characteristics of different types of wastewater depending on their origin (e.g. industrial sector) as well as to introduce the commonly used technologies for removing pollutants from wastewater and get familiar with alternative methods. Another goal is to understand the problems of management of sewage sludge generated in municipal wastewater treatment plants and industrial plants.

• Data Mining Path

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka
  • A. Karpus
  • M. Wróbel
  • A. Przybyłek
  • W. Waloszek
  • A. Landowska

  Within this path, various issues regarding data mining and their practical application in various systems are discussed.   4 semestr specjalności ISI i ZAD

• L23_24 Artificial Intelligence in Healthcare

  e-Learning Courses

  • J. Rumiński

• Artificial Intelligence - Summer 2023/24

  e-Learning Courses

  • J. Dembski
  • A. Sobociński

• Data Mining (for Data Engineering) - Nowy

  e-Learning Courses

  • T. Zawadzka
  • A. Karpus
  • W. Waloszek
  • K. Goczyła

• Mathematical and numerical modelling, L, IDE, sem. 01, summer 21/22,(M:00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling. Optimal control. Modal analysis. High speed milling. Mechatronic design.

• Wastewater Engineering 2020/21 (Environmental Engineering, II stopnia, stacjonarne, II semestr))

  e-Learning Courses

  • K. Czerwionka
  • J. Mąkinia

  Wastewater sources and flows Wastewater characterization based on physical and biodegradation criteria Preliminary treatment unit operations (screens, grit chambers, primary clarifiers) Biological processes (suspended growth vs. attached growth, hybrid systems, granular sludge) for wastewater treatment. Principles of biological nutrient removal (nitrification, denitrification, enhanced biological P removal,  anammox). Implementation...

• WATER SUPPLY AND WASTEWATER DISPOSAL

  e-Learning Courses

  • H. Al-Hazmi

  The course on Water Supply and Wastewater Disposal provides a comprehensive understanding of the principles, practices, and technologies involved in managing water resources effectively. It covers both the supply side, focusing on the provision of clean and safe drinking water, and the disposal side, addressing the treatment and management of wastewater to minimize environmental impact. Key Topics Covered: 1. Introduction to...

• Mathematical and Numerical Modelling, L, IDE IInd, sem.01, summer, 2022/23(00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• Wastewater Engineering 2021/22 (Environmental Engineering, II stopnia, stacjonarne, II semestr))

  e-Learning Courses

  • K. Czerwionka
  • J. Mąkinia

  Wastewater sources and flows Wastewater characterization based on physical and biodegradation criteria Preliminary treatment unit operations (screens, grit chambers, primary clarifiers) Biological processes (suspended growth vs. attached growth, hybrid systems, granular sludge) for wastewater treatment Principles of biological nutrient removal (nitrification, denitrification, enhanced biological P removal, anammox) Implementation...

• Wastewater Engineering 2022/23 (Environmental Engineering, II stopnia, stacjonarne, II semestr))

  e-Learning Courses

  • K. Czerwionka
  • J. Mąkinia

  Wastewater sources and flows Wastewater characterization based on physical and biodegradation criteria Preliminary treatment unit operations (screens, grit chambers, primary clarifiers) Biological processes (suspended growth vs. attached growth, hybrid systems, granular sludge) for wastewater treatment Principles of biological nutrient removal (nitrification, denitrification, enhanced biological P removal, anammox) Implementation...

• Wastewater Engineering 2023/24 (Environmental Engineering, II stopnia, stacjonarne, II semestr)

  e-Learning Courses

  • J. Mąkinia

  Wastewater sources and flows Wastewater characterization based on physical and biodegradation criteria Preliminary treatment unit operations (screens, grit chambers, primary clarifiers) Biological processes (suspended growth vs. attached growth, hybrid systems, granular sludge) for wastewater treatment Principles of biological nutrient removal (nitrification, denitrification, enhanced biological P removal, anammox) Implementation...

• DATA MINING NSTAC 2022

  e-Learning Courses

  • N. Rizun

  NSTAC

• Data Mining 2023/24

  e-Learning Courses

  • P. Weichbroth
  • A. Karpus
  • W. Waloszek

• Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)

  e-Learning Courses

  • G. Banaszek

  Project on Mathematical and numerical modelling.

• Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)

  e-Learning Courses

  • G. Banaszek

  Project on Mathematical and numerical modelling.

• Computational Intelligence - 2023

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence 2022

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski
  • H. Kormański

  Widening the students knowledge about the selected methods of artificial intelligence

• Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• Wastewater and water quality control 2023/24

  e-Learning Courses

  • I. E. Kłosowska-Chomiczewska
  • W. Hewelt-Belka
  • A. Pacyna-Kuchta

• Wastewater and water quality control 2022/23

  e-Learning Courses

  • I. E. Kłosowska-Chomiczewska
  • W. Hewelt-Belka

• DATA MINING STAC 2022/2023

  e-Learning Courses

  • N. Rizun

  STAC

• Advanced Data Mining 2022/23

  e-Learning Courses

  • P. Weichbroth
  • A. Kołakowska
  • G. Gołaszewski
  • K. Flisikowski
  • A. Karpus
  • K. Goczyła

• Advanced Data Mining 2023/24

  e-Learning Courses

  • A. Kołakowska
  • A. Karpus

• DATA MINING NSTAC 2022 ON-LINE

  e-Learning Courses

  • N. Rizun

  NSTAC

• Computational Intelligence - sem. 2022/23

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - 2023/2024 sem.

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - sem. 2023/2024

  e-Learning Courses

  Widening the students knowledge about the selected methods of artificial intelligence

• Mathematical Statistics (2022/23)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23

• Mathematical Statistics (2023/24)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2023/24

• Team Strategies - sem. 2022/23

  e-Learning Courses

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Team Strategies - sem. 2023/24

  e-Learning Courses

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Informatization strategies 23/24

  e-Learning Courses

  • G. Musiatowicz-Podbiał

  This eCourse is designed to support lectures and laboratories to the subject: Informatization strategies - academic yesr: 23/24

• Handel międzynarodowy 2023 AP

  e-Learning Courses

  • Z. H. Zarach
  • A. Parteka

  Głównym celem przedmiotu jest przekazanie wiedzy na temat teoretycznych i empirycznych aspektów handlu międzynarodowego// ujęcie makroekonomiczne, sektorowe i mikroekonomiczne (firmy). Wykłady: omówione zostaną główne modele handlu międzynarodowego oraz tematy związane z polityką handlową. Laboratoria - analiza aktualnych zagadnień dot. przepływów handlowych w gospodarce światowej (wykorzystując rzeczywiste dane)

• Investment strategies 2023/2024

  e-Learning Courses

  • M. Potrykus

  Nazwa kursu: Investment strategies Prowadzący: Marcin Potrykus Folder: Kierunek: Inżynieria danych                Rodzaj studiów: inżynierskie                Tryb: stacjonarne

• DATA MINING (Field of study: Economic analytics 1st semester) -2022

  e-Learning Courses

  • N. Rizun

• 2023/2024_ZIMA_Adaptive control

  e-Learning Courses

  • P. A. Kaczmarek

  Adaptive control lecture materials

• Fuzzy Control 2023

  e-Learning Courses

  • P. Fiertek

  Kurs do przedmiotu "Fuzzy Control" na sem letni 2023, drugi stopień

• Fuzzy Control 2022

  e-Learning Courses

  • P. Fiertek

  Kurs do przedmiotu "Fuzzy Control" na sem letni 2022, drugi stopień

• Fuzzy Control 2024

  e-Learning Courses

  • P. Fiertek

  Kurs do przedmiotu "Fuzzy Control" na sem letni 2024, drugi stopień

• Databases (Data Engineering) - 2022

  e-Learning Courses

  • A. Nabożny
  • G. Gołaszewski
  • M. Wróbel
  • A. Landowska
  • K. Goczyła

  The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

• Databases (Data Engineering) - 2023

  e-Learning Courses

  • G. Gołaszewski
  • A. Karpus
  • M. Pykała
  • A. Landowska
  • K. Goczyła

  The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

• Informatization strategies

  e-Learning Courses

  • B. Woliński

• 2022/2023_ZIMA Adaptive Control

  e-Learning Courses

  • P. A. Kaczmarek

  Adaptive control lecture materials