Catalog e-Learning Courses

• D. Horowska, WA, Architektura, st. I, sem. 1, 22/23 z

  e-Learning Courses

• D. Horowska, WA, Architektura, st. I, sem. 2, 22/23 l

  e-Learning Courses

• D. Horowska, WA, Architektura, st. I, sem. 3, 22/23 z

  e-Learning Courses

• D. Horowska, WA, Architektura, st. I, sem. 3, 23/24 z

  e-Learning Courses

• D. Horowska, WA, Architektura, st. I, sem. 4, 22/23 l

  e-Learning Courses

• D. Horowska, WCH, CH+TCH+I.MAT., st. I, sem. 3, 22/23 z

  e-Learning Courses

• D. Horowska, WCH, CH+TCH+I.MAT., st. I, sem. 4, 22/23 l

  e-Learning Courses

• D. Horowska, WCH, CH+TCH+I.MAT., st. I, sem. 5, 22/23 z

  e-Learning Courses

• D. Horowska, WEiA, AR, st. I, sem. 4, 22/23 l

  e-Learning Courses

• D. Horowska, WEiA, AR, st. I, sem. 5, 23/24 z

  e-Learning Courses

• D. Horowska, WEiA, ET+AR, st. I, sem. 3, 23/24 z

  e-Learning Courses

• D. Horowska, WETI, ACiR+IB, st. I, sem. 2, 22/23 l

  e-Learning Courses

• D. Horowska, WETI, ACiR+IB, st. I, sem. 3, 23/24 z

  e-Learning Courses

• D. Horowska, WETI, Inform. (2), st. I, sem. 2, 22/23 l

  e-Learning Courses

• D. Horowska, WETI, Inform. (3), st. I, sem. 3, 23/24 z

  e-Learning Courses

• D. Horowska, WETI, Telekom. (2), st. I, sem. 2, 22/23 l

  e-Learning Courses

• D. Horowska, WFTiMS, Fizyka, st. II, sem. 1, 22/23 l

  e-Learning Courses

• D. Horowska, WILiŚ, IŚ (4), st. I, sem. 4, 22/23 l

  e-Learning Courses

• D. Horowska, WILiŚ, IŚ. (4), st. II, sem. 4, 22/23 l

  e-Learning Courses

• D. Horowska, WILiŚ, IŚ (5), st. I, sem. 5, 23/24 z

  e-Learning Courses

• D. Horowska, WIMiO, Energetyka, st. I, sem. 5, 22/23 z

  e-Learning Courses

• Danuta Zalewska, Inf II stopień, 1 semestr C1

  e-Learning Courses

• Danuta Zalewska, Matematyka I stopień 2 semestr B2

  e-Learning Courses

• Danuta Zalewska, WCH, I st, 4 sem, 21/22 l

  e-Learning Courses

• Danuta Zalewska, WETI, telekomunikacja, I st, 4sem, 21/22l

  e-Learning Courses

• Danuta Zalewska, WIMiO, BM+ZiP, I st 2sem, 21/22l

  e-Learning Courses

• Danuta Zalewska, WIMIO, OCEANOTECHNIKA +BJ, I st, 2 sem, 21/22 l

  e-Learning Courses

• daria.filipiak@pg.edu.pl

  e-Learning Courses

• Data Analysis 2023/24

  e-Learning Courses

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

• Data Mining 2021/2022

  e-Learning Courses

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

• Data Mining 2022/2023

  e-Learning Courses

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

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

  e-Learning Courses

• Data Mining (for Data Engineering) - Nowy

  e-Learning Courses

• DATA MINING NSTAC 2022

  e-Learning Courses

  NSTAC

• DATA MINING NSTAC 2022 ON-LINE

  e-Learning Courses

  NSTAC

• Data Mining Path

  e-Learning Courses

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

• DATA MINING STAC 2022/2023

  e-Learning Courses

  STAC

• Data quality assurance

  e-Learning Courses

  The first lecture: 22.02.2021 at 8:15 on Teams Pierwszy wykład: 22.02.2021 o 8:15 w Teams ---------------------------------------------- Kierunek: Inżynieria danych (WETI) Studia I stopnia - inżynierskie, stacjonarne, semestr 6

• Data quality assurance - 2023

  e-Learning Courses

  Data quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Andrzej Wardziński Wykład: od 13 marca, poniedziałki 13:15 sala NE Audytorium 2 Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu

• Data Structures (Doctoral Studies)

  e-Learning Courses

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

• Data Structures (Doctoral Studies) - New

  e-Learning Courses

  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.

• Data Warehouses DE 2022/2023

  e-Learning Courses

  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 - Part-time studies - 2022/2023

  e-Learning Courses

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

• Data Warehouses 2022/2023

  e-Learning Courses

  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.

• Data Warehouses 2023/2024

  e-Learning Courses

  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.

• Database Management Systems 2022/2023

  e-Learning Courses

• Database Management Systems 2023/2024

  e-Learning Courses

• Databases (Data Engineering) - 2022

  e-Learning Courses

  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

  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. 

• Daylight in Architecture 2022/23

  e-Learning Courses

  Tutor: Professor Claudia Naves David Amorim (University of Brasilia) Project: 60 h (lectures + online platform + individual consultations) With a support of e-platform NLITED educational content; http://lms.nlited.eu/,  Students will become familiar with the different methods of daylight assessment within the built environment. Innovative daylight design is understood as a better user-centred and energy-efficient design strategy. The...