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Catalog
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Search results for: big%20data
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Diploma seminar BiM 2022/2023 dr inż. Marita McPhillips
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Iwona Mokwa-Tarnowska WZiE, BiM, Ist, 1sem, 21/22z
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Małgorzata Piechocińska WZiE BIM 1 sem. 2022/23z THURSDAYS
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Economics and Organisation of Enterprises - winter term 22/23
e-Learning CoursesThis course is intended for students of the first semester of Data Engineering (inter-faculty program in English)
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Economics and Organisation of Enterprises - winter term 23/24
e-Learning CoursesThis course is intended for students of the first semester of Data Engineering (inter-faculty program in English)
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DATA MINING STAC 2022/2023
e-Learning CoursesSTAC
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Advanced Data Mining 2022/23
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Numerical Methods - Data Engineering - 2023
e-Learning Coursesstudia inżynierskie, informatyka i inżynieria danych
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Data Structures (Doctoral Studies) - New
e-Learning CoursesThe 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.
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Numerical Methods - Data Engineering - 2024
e-Learning CoursesInżynieria danych
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Business Data Analytics-2023 /2024
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Inżynieria Danych Data Science 2024
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Advanced Data Mining 2023/24
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DATA MINING NSTAC 2022 ON-LINE
e-Learning CoursesNSTAC
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Business data semantics and representation 2023
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Business data semantics and representation - 2024
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Business data semantics and representation 2024
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Visualization of Economic Data - 2023/24
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Deep neural networks for data analysis
e-Learning CoursesThe 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:...
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Małgorzata Fenc , WZiE, BiM I st, 6 sem, 21/22l
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Ewa Rogala, WZiE, BIM, st. 1, sem. 2, 2020/21l
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Ewa Rogala, WZiE, BIM, I st, 4 sem, 21/22L
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Ewa Rogala, WZiE, BIM, I st, 2 sem, 22/23L
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Ewa Rogala, WZiE, BIM, I st, 1 sem, 22/23z
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Katarzyna Orłowska, ZIE, BIM, I st, 3 sem, 22/23l
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Svitlana Radetska, ZIE, BiM, st. I, sem V, 22/23z
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Katarzyna Orłowska, ZIE, BIM, I st, 4 sem, 22/23l
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Ewa Rogala, WZiE, BIM, I st, 2 sem, 21/22L
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Małgorzata Fenc , WZiE, BiM I st, 6 sem, 22/23l
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Svitlana Radetska, ZIE, BiM, st I, sem VI, 22/23l
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Ewa Rogala, WZiE, BIM, I st, 3 sem, 23/24z
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Ewa Rogala, WZiE, BIM, I st, 1 sem, 23/24z
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Ewa Rogala, WZiE, BIM, I st, 4 sem, 23/24L
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Ewa Rogala, WZiE, BIM, I st, 6 sem, 23/24L
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Danuta Zalewska, BIM ZIP sem V C1 Angielski, 23/24z
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Ewa Rogala, WZiE, BIM, I st, 2 sem, 23/24L
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Ewa Rogala, WZiE, BIM, I st, 5 sem, 23/24z
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Małgorzata Piechocińska BiM V sem, English for Chinese students 21/22z
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Małgorzata Piechocińska BiM 6 sem, English for Chinese students 21/22l
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Software Engineering 2022/2023
e-Learning CoursesCourse for Data Engineering, semester 3 Access credentials will be provided during the first lab class.
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Software Engineering 2023/2024
e-Learning CoursesCourse for Data Engineering, semester 3 Access credentials will be provided during the first lab class.
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Specyfika Badacza Wydziału
e-Learning CoursesGeodezja i kartografia obecnie powinna być postrzegana jako dyscyplina interdyscyplinarna, która zajmuje się całym ekosystem ziemskim i przygotowuje odpowiednie procedury i metody pomiarowe wykorzystywane w szeregu innych dyscyplin naukowych. Domena zalecza badawczego geodezji i kartografii są również metody analizy danych i budowanie nowych algorytmów obejmujących przetwarzanie danych Big data. Podstawę geodezji tworza, podobnie...
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Technical physics (Data Engineering)_22/23
e-Learning CoursesField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
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Technical physics (Data Engineering)_23/24
e-Learning CoursesField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
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Chinese, Huan Li, WZiE, BiM, III st, 5 sem, 22/23z
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Chinese, Huan Li, WZiE, BiM, II st, 3 sem, 21/22z
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Anna Soczyńska, WZIE, BIM 5, 1 sem,Polish course, 22/23z
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Anna Soczyńska, WZIE, BIM 3, 2 sem,Polish course, 21/22l
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Chinese, Huan Li, WZiE, BiM, III st, 5 sem, 21/22z
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Joanna Pawlik WZiE, BiM, I stopień, 2 sem, 2022/23 L
e-Learning Courses