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Search results for: CONCRETE, DATA MINING, FAILURE OCCURRENCE PREDICTION, MACHINE CONCRETE FOUNDATIONS, MACHINE LEARNING
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Complex Concrete Structures (CE) - 2021/2022
e-Learning CoursesThe following issues in the field of concrete structures will be discussed in the lecture part: Mechanical properties of concrete and reinforcing steel; Calculation of reinforced concrete cross-sections bending; Calculation of reinforced concrete cross-sections shear; Serviceability limit state in reinforced concrete structures; Reinforced concrete slabs, one-way and cross-reinforced; Reinforced concrete stairs; Reinforced...
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Complex Concrete Structures (CE) - 2023/2024
e-Learning CoursesThe following issues in the field of concrete structures will be discussed in the lecture part: Mechanical properties of concrete and reinforcing steel; Calculation of reinforced concrete cross-sections bending; Calculation of reinforced concrete cross-sections shear; Serviceability limit state in reinforced concrete structures; Reinforced concrete slabs, one-way and cross-reinforced; Reinforced concrete stairs; Reinforced...
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Machine Design 2
e-Learning CoursesMachine Design 2, what else?
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Modeling in Machine Design
e-Learning CoursesThe course is meant to show the students how to build calculation models in machine design
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Data Mining 2022/2023
e-Learning CoursesThis is a web page for our course in Data Mining.
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Data Mining 2021/2022
e-Learning CoursesThis is a web page for our course in Data Mining.
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Machine Design Selected Problems
e-Learning CoursesIn this course a deepened knowlege of the problems of machine design selected and pointed out by the students is presented
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Machine Design 3, 2021/22
e-Learning CoursesThe course contains a set of practical excercises in machine design with the goal to integrate and consolidate the earlier competency in general machine design.
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Data Mining Path
e-Learning CoursesWithin this path, various issues regarding data mining and their practical application in various systems are discussed. 4 semestr specjalności ISI i ZAD
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Modelling in machine design (PG_00057377)
e-Learning Coursesgoal of the subject is to show how simple enginnering models reflect the reality and how contemporary FEM calulations can illustrate the operation of machine elements
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SELECTED PROBLEMS OF MACHINE DYNAMICS (2024)
e-Learning CoursesThe course is devoted towards lectures assocuated with the novel issues of machine and structures dynamics. The following lectures will be given during the SPMD course: - introduction to selected problems of machine dynamics, - definition of the machine and structure working environment, - internal and external loads on machines and structures, - dynamics of machines and structures, - strength of machines and structures, - special...
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Systemy z Uczeniem Maszynowym / Systems with Machine Learning
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Modelling in machine design (PG_00057377)_2024
e-Learning CoursesMachine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course
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Machine Design - selected problems (M:320384W0)
e-Learning CoursesMachine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course
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Machine Design - selected problems (M:320384W0)
e-Learning CoursesMachine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course
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Selected Problems of Machine Dynamics
e-Learning CoursesThe following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES
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Systemy z Uczeniem Maszynowym / Systems with Machine Learning 2022/2023
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Machine Design PG_00059691
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Selected Problems of Machine Dynamics II
e-Learning CoursesThe following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES
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Selected Problems of Machine Dynamics - advances
e-Learning CoursesThe following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES
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Selected Problems of Machine Dynamics - advances
e-Learning CoursesThe following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES
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Data Mining (for Data Engineering) - Nowy
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Computer aided machine design
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Machine Design - selected problems
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Machine Design 3, PG_00042104
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Machine Design PG_00059691 2024
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DATA MINING NSTAC 2022
e-Learning CoursesNSTAC
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Data Mining 2023/24
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Fundamentals of Machine Design I
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Fundamental of Machine Design III
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Fundamentals of Machine Design II
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Fundamentals of Machine Design III
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Fundamentals of Machine Design I
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Deep Learning Basics 2023/24
e-Learning CoursesA course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.
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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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Advanced Data Mining 2023/24
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DATA MINING NSTAC 2022 ON-LINE
e-Learning CoursesNSTAC
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Computer aided machine design 2022/23
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Machine Design 3, PG_00042104 2023/24
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Computer Aided Machine Design and Manufacturing (PG_00060425)
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DATA MINING (Field of study: Economic analytics 1st semester) -2022
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E-learning courses
e-Learning CoursesStrona zawiera zbiór kursów prowadzonych metodą e-learning. Kursy te są skierowane do studentów I stopnia kierunku informatyka na VII semestrze profilu Bazy danych, do studentów na kierunku informatyka na II semestrze studiów II stopnia na specjalności ZAD i ISI.
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Fundamentals of Machine Design II, PG_00050280, DaPE, sem. letni, 2023/24
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e-Learning - user's guide for students
e-Learning Coursese-Learning - user's guide for students
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1 - E-TECH: Online education in practice for teachers. Foundations
e-Learning CoursesThis module has been designed to help teachers to get the very best out of online learning education. We've created it to support many aspects of your learning online. The aim is to provide skills to create and engage with your teaching materials online. After completion the course you can download your Certifacte.
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Foundations of Capital Market Analysis
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Foundations of Capital Market Analysis
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Data Warehouses 2023/2024
e-Learning CoursesThe 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.
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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:...