Search results for: : FIRST-YEAR ATTRITION, ON-TIME GRADUATION, GRADUATION PROCESS EFFICIENCY, THE BENEFIT OF THE DOUBT, DATA ENVELOPMENT ANALYSIS

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

  This is the continuation of Qualitatative Data Analysis Methods course provided online

• Data Warehouses - Part-time studies - 2022/2023

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  The curse is led for part-time studies, on the first semester of postgraduate studies.

• Data Warehouses - Part-time studies - 2023/2024

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  The curse is led for part-time studies, on the first semester of postgraduate studies.

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

  Data Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24

• Deep neural networks for data analysis

  e-Learning Courses

  • K. Draszawka

  The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

• Business Process Analysis and Optimization 2022

  e-Learning Courses

  • M. Grzesiak

• Business Process Analysis and Optimization 2023

  e-Learning Courses

  • M. Grzesiak

• Business Process Analysis and Optimization 2024

  e-Learning Courses

  • M. Grzesiak

• Data analysis - team project 2024

  e-Learning Courses

  • O. Aydin

• [Soft Skills] 2 YEAR Didactic methods in the modern teaching process

  e-Learning Courses

  • J. Mytnik

  {mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów 2 roku Prowadząca:  dr hab. Joanna Mytnik, prof. uczelni Liczba godzin: 15 Forma zajęć: warsztaty {mlang} {mlang en} Discipline: all disciplines Obligatory course for 2nd-year PhD students Academic teacher: Joanna Mytnik, Ph.D., ass. prof. Total hours of training: 15 teaching hours Course type: workshop {mlang} Soft skills, area I - didactic...

• TIME SERIES MODELING (PG_00063724)

  e-Learning Courses

  • P. Paradowski

  Effectively uses in-depth knowledge of economic time series analysis methods, applying the results of analyzes to formulate forecasts. Subject contents: 1. Classical time series analysis (trend, cyclical fluctuations) 2. Exponential smoothing models 3. Holt and Winters model 4. Stochastic processes and time series 5. Characteristics of stochastic processes 6. Process spectrum autocorrelation functions 7. Study of the stationarity...

• [ITiT] Technologies of Spatial Data Analysis and Processing

  e-Learning Courses

  • M. Kulawiak
  • E. Lubecka

  {mlang pl} Dyscyplina:  Informatyka Techniczna i Telekomunikacja Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  dr hab. inż. Marcin Kulawiak Liczba godzin: 30 h Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: Technical Informatics and Telecommunications Obligatory course for 2nd year PhD students Academic teacher:  dr hab. inż. Marcin Kulawiak Total hours of training: 30 teaching hours Course...

• Qualitative Data Analysis Methods -Summer 2022

  e-Learning Courses

  • M. McPhillips

• Scientific methods of computer data analysis and presentation

  e-Learning Courses

  • T. E. Berezowski

• Qualitative Data Analysis Methods -Summer 22/23

  e-Learning Courses

  • M. McPhillips

• Data Warehouses 2023/2024

  e-Learning Courses

  • A. Nabożny
  • G. Gołaszewski
  • T. Zawadzka

  The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

• Deep neural networks for data analysis 24/25

  e-Learning Courses

  • J. Cychnerski
  • K. Draszawka

  This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

• Data Warehouses DE 2022/2023

  e-Learning Courses

  • A. Nabożny
  • G. Gołaszewski
  • T. Zawadzka

  The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

• Data Warehouses DE 2023/2024

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

• Data Warehouses 2022/2023

  e-Learning Courses

  • A. Nabożny
  • G. Gołaszewski
  • T. Zawadzka

  The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Informatics - 5th semester.

• [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}      

• Business process modelling

  e-Learning Courses

  • M. Grzesiak

  Welcome to the Business Process Modeling course! We will travel together among the business processes world and its modeling with the BPMN ;) I hope it will be valuable for your future. See you soon, Marzena Grzesiak

• Financial Analysis exercises - New

  e-Learning Courses

  • P. Figura

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Analiza danych typu Big Data 2022/23

  e-Learning Courses

  • P. Weichbroth
  • W. Waloszek

  The aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.

• Data Structures (Doctoral Studies) - New

  e-Learning Courses

  • K. Goczyła

  The course is designed to provide students with the knowledge regarding basic data structures and associated algorithms used in broad range of applications. Students will also gain knowledge about how to evaluate the quality of algorithms in the context of time and space usage. Additionally, during seminars, students get familiar with biographies of most famous creators of the algorithms.

• Financial Analysis exercises - New (copy)

  e-Learning Courses

  • K. Kubiszewska

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Process Diagnostics - summer semester 2023/2024

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Familiarization with modern methods of industrial process diagnostics

• Real-time Operating Systems - Seminar 2023/4

  e-Learning Courses

  • M. Pazio

  Page to support seminar clases of Real-time Operating Systems

• [15.02.2024] Information meeting for 2nd year PhD students

  e-Learning Courses

  Information meeting on 15.02.2024 2nd year PhD students

• Decisions Analysis 2023/2024

  e-Learning Courses

  • N. Rizun

  This is content to the subject: "Decisions Analysis" to be used as a template for futher courses.

• FIRST DEGREE FINAL PROJECT [2020/21]

  e-Learning Courses

  • M. Łuszczek

• Smart city and data management foundations

  e-Learning Courses

  • M. Krzyżanowski
  • W. Drapiński
  • J. Sudakowska
  • A. Guzik
  • K. Dytrych
  • A. Modrzejewska
  • A. Orłowski

  This e-learning course, specifically designed for individuals aiming to establish startups, those proficient in technology yet unsure of how to leverage and market it, and students aspiring to further their studies in data analysis, transportation, IT management, or data engineering. This course serves as an entry point for roles such as Smart City Specialist and Chief Data Officer in municipal settings. Participants will gain...

• Analiza danych typu Big Data 2023/24 KOPIA

  e-Learning Courses

  • W. Waloszek

  The aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.

• [15.03.2023] Information meeting for 4-th year PhD students

  e-Learning Courses

  • M. Gurczyńska
  • R. Jankowski
  • M. Bagiński

  Information meeting on 15.03.2023 4th-year PhD students

• Decisions Analysis STAC 22/23

  e-Learning Courses

  • G. Musiatowicz-Podbiał

  This is content to the subject: "Decisions Analysis" 22/23

• Process engineering and chemical equipment - lab -2022/23

  e-Learning Courses

  • D. Konopacka-Łyskawa
  • A. Brillowska-Dąbrowska
  • P. Rybarczyk

  Process engineering and chemical equipment - laboratory

• Process engineering and chemical equipment - project -2022/23

  e-Learning Courses

  • D. Konopacka-Łyskawa
  • A. Brillowska-Dąbrowska
  • P. Rybarczyk

  Process engineering and chemical equipment - project

• [25.11.2021] Information meeting for 1-st year PhD students

  e-Learning Courses

  • A. Markowska
  • M. Gurczyńska
  • R. Jankowski
  • M. Bagiński
  • M. Mrozowski

  Information meeting on 25.11.2021 1st-year PhD students

• [18.12.2023] Information meeting for 1-st year PhD students

  e-Learning Courses

  Information meeting on 18.12.2023 1st-year PhD students

• 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.

• Real time operating systems - lectures & exercises, 2023 summer

  e-Learning Courses

  • M. Pazio

  Support course for real-time operating systems

• Data Structures (Doctoral Studies)

  e-Learning Courses

  • K. Goczyła

  The course covers basic data structures and computer algorithms used in information tehcnology applications. 

• 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

• Real-time Operating Systems - L&E 2023/4

  e-Learning Courses

  • M. Pazio

  Website supporting the course: "Real-time Operating Systems"

• Algorithms and Data Structures 2022

  e-Learning Courses

  • R. Ostrowski
  • K. Manuszewski
  • T. Pikies
  • K. Wereszko
  • A. Jastrzębski
  • M. Jurkiewicz
  • T. Goluch

  WETI, DS, Algorithms and Data Structures

• Technical physics (Data Engineering)

  e-Learning Courses

  • S. Bielski

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

• [25.10.2022] Information meeting for 1-st year PhD students - Nowy

  e-Learning Courses

  • M. Gurczyńska
  • R. Jankowski
  • M. Bagiński
  • M. Mrozowski

  Information meeting on 25.10.2022 1st-year PhD students

• [31.01.2024] Information meeting for 3rd and 4-th year PhD students

  e-Learning Courses

  Information meeting on 31.01.2024 3rd and 4th-year PhD students