Search results for: NEURAL TEXT-TO-SPEECH MULTILINGUAL SYNTHESIS VOICE CONVERSION SYNTHETIC DATA NORMALISING FLOWS

• WETI - Data Engineering gr.2 - Math 2019/20 (A.Brękiewicz-Sieg)

  e-Learning Courses

  • A. Brękiewicz-Sieg

• [AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023

  e-Learning Courses

  • T. E. Berezowski

  {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

• [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024

  e-Learning Courses

  • T. E. Berezowski

  {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

• [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation 2024/2025

  e-Learning Courses

  • T. E. Berezowski

  {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

• Benjamin Sempek, WETI+WZIE, Data Engineering, st I, sem2, 22/23l

  e-Learning Courses

  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• W. Zbirohowski-Kościa WZiE i WETI, Data Eng, I st, sem 2, 21/22l

  e-Learning Courses

  • W. Zbirohowski-Kościa
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• Witold Zbirohowski-Kościa, ZiE i ETI, Data Engineering, I st, sem 5, 21/22z

  e-Learning Courses

  • W. Zbirohowski-Kościa
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• Małgorzata Piechocińska WETI+WZiE Inż. Danych/Data Engineering I st. 2 sem. 22/23 l

  e-Learning Courses

  • J. Nieszczółkowski
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna
  • M. Piechocińska

• Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 2 - Inżynieria Danych / Data Engineering - sem. 7 - 2024/2025

  e-Learning Courses

  • A. M. Trzaskowska

• Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 1 - Inżynieria Danych / Data Engineering - sem. 6 - 2023/2024

  e-Learning Courses

  • A. M. Trzaskowska

• Fluid Mechanics, L/L/E, DaPE, sem. 04, summer 21/22 (PG_00050282)

  e-Learning Courses

  • K. Tesch
  • M. Banaszek

  LECTURES Introduction and basic definitions. Properties of fluids. Models of fluids. Fluids in equilibrium. Determination of hydrostatic forces. Archimedes" law. Methods of fluid flow description. General motion of fluid. Deformation of fluid element. Vortex motion of fluid. Principles of conservation of mass, momentum and energy. Balance of entropy. Navier-Stokes equation. Bernoulli equation. Similarity of flow phenomena. Potential...

• Selected topics of electrical engineering

  e-Learning Courses

  • A. Wilk

  Principles of electromchanical energy conversion using Lagrange energy method

• 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

• Mathematical Statistics 2024/25

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2024/25

• Electric Machines [Energy Technologies][2022/23]

  e-Learning Courses

  • F. Kutt
  • A. Wilk
  • M. Michna
  • G. A. Kostro
  • R. Ryndzionek
  • Ł. Sienkiewicz

  Fundamentals of elektromechanical energy conversion. Bachelor/Engineer in Energy Technologies, 4th semester, undergraduate, full-time.

• Electric Machines [Energy Technologies][2023/24]

  e-Learning Courses

  • F. Kutt
  • A. Wilk
  • M. Michna
  • R. Ryndzionek
  • Ł. Sienkiewicz

  Fundamentals of elektromechanical energy conversion. Bachelor/Engineer in Energy Technologies, 4th semester, undergraduate, full-time.

• Deep Learning Basics 2023/24

  e-Learning Courses

  • K. Draszawka

  A course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.

• Descriptive Statistics - summer 2022

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2021/22

• Descriptive Statistics with R

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2022/23

• Descriptive Statistics 2024

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering prof. Karol Flisikowski - summer semester 2023/24

• Pumps, Turbines and Small Hydropower, LEC/LAB, DaPE, sem.5 winter 2022/23 (M:320403W0)

  e-Learning Courses

  • M. Banaszek

  The aim of the course is to identify and demonstrate knowledge of the major concepts, theoretical perspectives, and historical trends in small hydropower. This course examines the principles of sustainability and renewable energy conversion with emphasis on hydro energy resources. Concentration is placed on the relationships between the renewable resources, conversion technology and economic feasibility along with consideration...

• Pumps, Turbines and Small Hydropower, LEC/LAB, ET, sem.7 winter 2022/23 (PG_00042108)

  e-Learning Courses

  • M. Banaszek

  The aim of the course is to identify and demonstrate knowledge of the major concepts, theoretical perspectives, and historical trends in small hydropower. This course examines the principles of sustainability and renewable energy conversion with emphasis on hydro energy resources. Concentration is placed on the relationships between the renewable resources, conversion technology and economic feasibility along with consideration...

• Pumps, Turbines and Small Hydropower, LEC/LAB, DaPE, sem.5 winter 2023/24 (M:320403W0)

  e-Learning Courses

  • M. Banaszek

  The aim of the course is to identify and demonstrate knowledge of the major concepts, theoretical perspectives, and historical trends in small hydropower. This course examines the principles of sustainability and renewable energy conversion with emphasis on hydro energy resources. Concentration is placed on the relationships between the renewable resources, conversion technology and economic feasibility along with consideration...

• Pumps, Turbines and Small Hydropower, LEC/LAB, ET, sem.7 winter 2023/24 (PG_00042108)

  e-Learning Courses

  • M. Banaszek

  The aim of the course is to identify and demonstrate knowledge of the major concepts, theoretical perspectives, and historical trends in small hydropower. This course examines the principles of sustainability and renewable energy conversion with emphasis on hydro energy resources. Concentration is placed on the relationships between the renewable resources, conversion technology and economic feasibility along with consideration...

• Chemistry and Nanochemistry 2024

  e-Learning Courses

  • M. Prześniak-Welenc
  • A. Manohar
  • M. Bobrowski

  We start from General Chemistry, including: calculus in chemistry, bonds, balancing the chemical reactions, redox reactions, electrochemistry, pH, acids, bases, salts, oxides, organic molecules, and many informations about synthesis, analysis and applications in nanochemistry.

• Chemistry and Nanochemistry 2023

  e-Learning Courses

  • M. Prześniak-Welenc
  • M. Bobrowski

  We start from General Chemistry, including: calculus in chemistry, bonds, balancing the chemical reactions, redox reactions, electrochemistry, pH, acids, bases, salts, oxides, organic molecules, and many informations about synthesis, analysis and applications in nanochemistry.

• International Trade winter 2022

  e-Learning Courses

  • A. Parteka

  Main aim of the subject is to transfer knowledge on theoretical and empirical aspects of international trade. During the lectures we will cover patterns of international trade, main models of international trade and topics related to trade policy. During labs students will analyze current issues concerning trade flows in globalized world economy.

• International Trade - winter 2023

  e-Learning Courses

  • Z. H. Zarach
  • A. Parteka

  Main aim of the subject is to transfer knowledge on theoretical and empirical aspects of international trade. During the lectures we will cover patterns of international trade, main models of international trade and topics related to trade policy. During labs students will analyze current issues concerning trade flows in globalized world economy.

• Heat Turbomachinery

  e-Learning Courses

  • K. Kosowski

  1. Steam turbine cycles. 2. Gas turbine cycles. 3. Combined gas-steam cycles. 4. Flows in nozzles. 5. Theory of turbine stages. 6. Multistage turbines. 7. Examples of turbine design.

• Descriptive & mathematical statistics 2019

  e-Learning Courses

  • B. Kochański

  Descriptive Statistics for Data Engineering 2019

• Demography 2024/2025

  e-Learning Courses

  • M. Kuc-Czarnecka

  Discover how global demographic changes shape economic and social values across regions. This course explores population trends, demographic structures, and their volatility, providing insights into factors like migration, mortality, and urbanization. Learn to analyze demographic data, create projections, and understand key concepts like the demographic transition. Discuss current challenges, such as China's one-child policy and...

• Heat turbomachinery

  e-Learning Courses

  • K. Kosowski

  1. Steam turbine cycles. 2. Gas turbine cycles. 3. Combined gas-steam cycles. 4. Flows in nozzles. 5. Theory of turbine stages. 6. Multistage turbines. 7. Examples of turbine design.  

• Applications of Geographic Information Systems

  e-Learning Courses

  • M. Kulawiak
  • M. Kulawiak

  First degree studies Data Engineering

• Advanced Nonrelational Databases DE 2022/2023

  e-Learning Courses

  • J. Miler
  • T. Zawadzka
  • W. Waloszek

  The course is addressed to bachelor-students in the field of data engineering in the fifth semester.

• Advanced Nonrelational Databases DE 2023/2024

  e-Learning Courses

  • M. Zawadzki
  • T. Zawadzka
  • W. Waloszek

  The course is addressed to bachelor-students in the field of data engineering in the fifth semester.

• Economics and Organisation of Enterprises - winter term 22/23

  e-Learning Courses

  • M. Popowska

  This course is intended for students of the first semester of Data Engineering (inter-faculty program in English)

• Economics and Organisation of Enterprises - winter term 24/25

  e-Learning Courses

  • M. M. Popowska

  This course is intended for students in the first semester of Data Engineering (inter-faculty program in English).

• Economics and Organisation of Enterprises - winter term 23/24

  e-Learning Courses

  • M. M. Popowska
  • M. Mustafayev

  This course is intended for students of the first semester of Data Engineering (inter-faculty program in English)

• Chemistry and Nanochemistry 2022.

  e-Learning Courses

  • M. Prześniak-Welenc
  • M. Bobrowski

  The course consists of lectures (15 x 2 hours) and laboratories (5 x 3 hours).The goal of this course is to teach general chemistry and adequately apply it to nano-size systems, their synthesis and analysis. An emphasis is laid on an analysis of electronic structure of molecules and prediction of  resulting properties and reasons of consequent behaviour in chemical reactions. The course also encloses laboratory classes, where the...

• Software Engineering 2022/2023

  e-Learning Courses

  Course for Data Engineering, semester 3 Access credentials will be provided during the first lab class.

• Software Engineering 2024/2025

  e-Learning Courses

  • A. Jarzębowicz

  Course for Data Engineering, semester 3 Access credentials will be provided during the first lab class.

• Software Engineering 2023/2024

  e-Learning Courses

  • A. Jarzębowicz

  Course for Data Engineering, semester 3 Access credentials will be provided during the first lab class.

• CAD. Integrated Architectural Design, MSc Arch (2023/24)

  e-Learning Courses

  • D. Cyparski

  Detailed understanding of optimizing the design process using parametric BIM (Building Information Modeling) in the Autodesk Revit Architecture program. Practical design exercises included familiarize students with methods of integrating parametric design and exchanging data with other CAD/BIM programs, modifying parametric objects and generating automatic 2D/3D architectural documentation. The lesson plan introduces students to...

• Technical Physics 2024/25

  e-Learning Courses

  • S. Bielski
  • A. Sbai
  • R. C. Sia

  Field of study: Data Engineering; Subject: Technical physics; Lecture notes and other course materials.

• Basics of Physics_21/22

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Basics of Physics_22/23

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Basics of Physics_23/24

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Nieniszczące Metody Badań Konstrukcji Metalowych 2022/23

  e-Learning Courses

  • D. Kowalski

  Nieniszczące Metody Badań Konstrukcji Metalowych  w roku akademickim 2021/22  Kurs obowiązkowy na II stopniu magisterskich studiów stacjonarnych  kierunek budownictwo - specjalizacja dyplomowa - Konstrukcje Metalowe Prowadzący: dr inż. Dariusz Kowalski

• Głębokie Sieci Neuronowe Do Analizy Danych

  e-Learning Courses

  • T. M. Boiński
  • K. Draszawka

  {mlang pl}Kurs przeznaczony jest dla studentów kierunku Inżynieria Danych.{mlang} {mlang en}Course for Data Analysis students.{mlang}