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Search results for: GATA-3
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Advanced Nonrelational Databases DE 2023/2024
e-Learning CoursesThe course is addressed to bachelor-students in the field of data engineering in the fifth semester.
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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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Big Data processing frameworks - 2022
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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DATA MINING STAC 2022/2023
e-Learning CoursesSTAC
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Big Data processing frameworks - 2023
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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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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Big Data processing frameworks - 2024
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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Analiza danych typu Big Data
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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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Analiza danych typu Big Data 2022/23
e-Learning CoursesThe 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.
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Analiza danych typu Big Data 2023/24 KOPIA
e-Learning CoursesThe 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.
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Matematyka 3
e-Learning CoursesWykład dla studentów kierunku Nanotechnologia FTiMS z zakresu Matematyki 3
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Test 3
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Zastosowanie metod ekonometrycznych w zarządzaniu i ekonomii
e-Learning CoursesZarządzanie 4-semestralne, II stopnia, semestr 3. Zarządzanie 3-semestralne, II stopnia, semestr 2.
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Nauka o materiałach, W, Transport, sem.02, letni 21/22 (PG_00044528)
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Seminarium specjalnościowe, S, NwIMiK, sem.07, zimowy 22/23
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Seminarium dyplomowe, S, TM, sem.03, letni 21/22 (PG_00048726)
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Materiały konstrukcyjne specjalne, W, sem.06, letni 22/23 (PG_00039737)
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Inżynieria kosmiczna i satelitarna, W, TKiS, sem.02, zimowy 22/23
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Wykład monograficzny, W, TM, sem.06, letni 21/22 (PG_00039733)
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Materiały konstrukcyjne, W, Mech, sem.01, zimowy 22/23
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Wykład monograficzny, W, TM, sem.06, letni 22/23 (PG_00039733)
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Inżynieria kosmiczna i satelitarna, L, TKiS, sem.02, zimowy 22/23
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Nauka o materiałach, W, Transport, sem.02, letni 22/23 (PG_00044528)
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Mechanizmy niszczenia materiałów, W, IM, sem.07, zimowy 22/23
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Inżynieria kosmiczna i satelitarna, P, TKiS, sem.02, zimowy 22/23
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Mechanizmy niszczenia materiałów, L, IM, sem.7, zimowy 2023/24
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Wykład monograficzny, W, TM, sem.06, letni 23/24
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Materiały konstrukcyjne, W, Mech, sem.1, zimowy 2023/24
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Nauka o materiałach, W, Transport, sem.02, letni 23/24
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Mechanizmy niszczenia materiałów, W, IM, sem.7, zimowy 2023/24
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Mechanizmy niszczenia materiałów, L, IM, sem.7, zimowy 2023/24
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Seminarium dyplomowe
e-Learning CoursesSeminarium dyplomowe dla Nanotechnologii II st., 3 sem., Nanotechnologii (w języku angielskim) II st., 3 sem. Inżynierii Materiałowej II st., 3 sem.
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Technologia, Ekonomika i Organizacja Budowy: Wykład, Ćwiczenia i Projektowanie - sem. zimowy i letni 2023/2024 (studia niestacjonarne)
e-Learning CoursesKurs przeznaczony jest dla studentów kierunku Budownictwo studiów niestacjonarnych I stopnia sem. 7 i sem. 8 Prowadząca wykład sem. 7: mgr inż. Anna Cuglewska-Lech, prowadząca projekt i ćwiczenia sem. 7: mgr inż. Agata Siemaszko, prowadząca ćwiczenia sem. 8: mgr inż. Agata Siemaszko.
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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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Repetytorium: POP + WAI + HiH (Data Engineering)
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Qualitative Data Analysis Methods -Summer 2022
e-Learning Courses