Catalog e-Learning Courses

• Danuta Zalewska, Ch Budowlana I st 2 sem B2

  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

• Data Mining 2021/2022

  e-Learning Courses

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

• DATA MINING (Field of study: Economic analytics 1st semester) -2021

  e-Learning Courses

• Data Mining (for Data Engineering) - Nowy

  e-Learning Courses

• Data Mining in business-2021

  e-Learning Courses

• Data Mining in business-2022

  e-Learning Courses

• DATA MINING NSTAC 2021

  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 2021

  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 - 2022

  e-Learning Courses

  Data quality assurance - edition 2022 Lectures: Fridays at 13:15, room EA 07 (starting from February 25, 2022) ---------------- Zapewnianie jakości danych - edycja 2022 Wykłady: Piątki o 13:15, sala EA 07 (od 25 lutego 2022) Kierunek: Inżynieria danych (WETI) Studia I stopnia - inżynierskie, stacjonarne, semestr 6

• Data Structures (Doctoral Studies)

  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 Structures (Doctoral Studies)

  e-Learning Courses

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

• Data Warehouses - Part-time studies - 2021_2022

  e-Learning Courses

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

• Data Warehouses 2021/2022

  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 DE 2021/2022

  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.

• Database Management Systems 2021/2022

  e-Learning Courses

• Databases (Data Engineering)

  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. 

• DC-2022

  e-Learning Courses

  II st (ang), sem.   AiR

• DC-2023

  e-Learning Courses

  II st (ang), sem.   AiR

• Decentralized energy systems. Social aspects of energy production and use (10h, 2 ECTS credits)

  e-Learning Courses

  The main aim of the course is to introduce students to the socio-political aspects of the decentralization of energy systems. The motivation behind these changes is not only due to technological developments or economic issues. The main driving force are wider social and political trends. Many energy supply projects that are being developed and implemented today assume an active role for consumers in energy production, who become...

• Decision analysis

  e-Learning Courses

• Decision analysis (l/lab) winter 2020/21

  e-Learning Courses

  Decision analysis (l/lab)_winter 2020/21

• Decision analysis (l/lab)_STACJ._winter 2021/22

  e-Learning Courses

• Decision science (l/lab)_STACJ._winter 2021/22

  e-Learning Courses

• Decyzje przedsiębiorstw na rynku finansowym

  e-Learning Courses

• Decyzje przedsiębiorstw na rynku finansowym 2022

  e-Learning Courses

• Decyzje przedsiębiorstw na rynku finansowym AG niest.

  e-Learning Courses

• Decyzje przedsiębiorstw na rynku finansowym Z niest.

  e-Learning Courses

• Degradacja i metody badań biomateriałów, W,L, IMM, sem.05, zimowy 21/22 (M:31685W0)

  e-Learning Courses

• Degradacja i ochrona materiałów budowlanych

  e-Learning Courses

• Degradacja materiałów polimerowych (ChB, II stopień, 3 semestr)

  e-Learning Courses

• Degradacja Polimerów, IM II st. II sem.

  e-Learning Courses

• Demografia

  e-Learning Courses

• Demografia N

  e-Learning Courses

• Demography and economy

  e-Learning Courses

• DEMOGRAPHY AND ECONOMY

  e-Learning Courses

  prof. Rui Dang, DEMOGRAPHY AND ECONOMY

• Demonstracje

  e-Learning Courses

  Demonstracja Wolfram Mathematica

• Department Seminars

  e-Learning Courses

• Descriptive & mathematical statistics 2019

  e-Learning Courses

  Descriptive Statistics for Data Engineering 2019

• Descriptive geometry

  e-Learning Courses

• Descriptive Geometry I, 2020/21

  e-Learning Courses

  The Descriptive Geometry I Course combines the elements of traditional education with E-learning. It is intended for students of Architecture, in semester 1 of their undergraduate Engineering studies. The subject matter concerns the graphic representation of three-dimensional objects on a two-dimensional surface, their restitution on the basis of projections and solving simple spatial problems. The teaching content includes the...

• Descriptive Geometry I, 2021/22

  e-Learning Courses

  The Descriptive Geometry I Course combines the elements of traditional education with E-learning. It is intended for students of Architecture, in semester 1 of their undergraduate Engineering studies. The subject matter concerns the graphic representation of three-dimensional objects on a two-dimensional surface, their restitution on the basis of projections and solving simple spatial problems. The teaching content includes the...

• Descriptive Statistics - edition: summer 2020/21

  e-Learning Courses

  Descriptive Statistics - summer semester 2020/21, Data Engineering, Karol Flisikowski.