Search results for: FACIAL RECOGNITION, DROWSINESS, REAL-TIME MONITORING, MACHINE LEARNING, NEURAL NETWORKS, DRIVER, FATIGUE - Bridge of Knowledge

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Search results for: FACIAL RECOGNITION, DROWSINESS, REAL-TIME MONITORING, MACHINE LEARNING, NEURAL NETWORKS, DRIVER, FATIGUE

Search results for: FACIAL RECOGNITION, DROWSINESS, REAL-TIME MONITORING, MACHINE LEARNING, NEURAL NETWORKS, DRIVER, FATIGUE

  • Deep neural networks for data analysis 24/25

    e-Learning Courses
    • J. Cychnerski
    • K. Draszawka

    This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

  • Deep neural networks for data analysis

    e-Learning Courses
    • K. Draszawka

    The 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:...

  • Machine learning for PhD students

    e-Learning Courses
    • W. Artichowicz

    An introductory course in machine learning for PhD students from Department of Geotechnical and Hydraulic Engineering

  • Real-time Operating Systems - Seminar 2023/4

    e-Learning Courses
    • M. Pazio

    Page to support seminar clases of Real-time Operating Systems

  • Deep Learning Basics 2023/24

    e-Learning Courses
    • K. Draszawka

    A 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.

  • Real time operating systems - lectures & exercises, 2023 summer

    e-Learning Courses
    • M. Pazio

    Support course for real-time operating systems

  • Real-time Operating Systems - L&E 2023/4

    e-Learning Courses
    • M. Pazio

    Website supporting the course: "Real-time Operating Systems"

  • Real-Time Operating Microsystems 2023/2024

    e-Learning Courses
    • G. Lentka
    • D. Palmowski

  • Deep neural networks for data analysis 27/28

    e-Learning Courses
    • K. Draszawka

  • Deep neural networks for data analysis 25/26

    e-Learning Courses
    • K. Draszawka

  • Deep neural networks for data analysis 26/27

    e-Learning Courses
    • K. Draszawka

  • Real Time Operating Systems - Seminar 2021/22L

    e-Learning Courses
    • M. Pazio

  • Real time operating systems Seminars 2020-2021

    e-Learning Courses
    • M. Pazio

    RTOS seminary classes.

  • Real-time Operating Systems - Seminar 2022/2023 Summer

    e-Learning Courses
    • M. Pazio

  • Real Time Operating Systems - Lecture & exercises 2021/22L

    e-Learning Courses
    • M. Pazio

    Supporting course for RTOS seminr classes.

  • Systemy z Uczeniem Maszynowym / Systems with Machine Learning

    e-Learning Courses
    • J. Cychnerski

  • Computer Networks-laboratories - 2023

    e-Learning Courses
    • M. Hoeft
    • T. Gierszewski
    • I. Szczypior
    • J. Grochowski
    • J. Rak
    • W. Gumiński
    • K. Jurczenia
    • K. Gierłowski
    • K. Nowicki

    Acquiring the skills to design, build and configure computer networks. Demonstration of skills to identify and analyze selected protocols and mechanisms of LAN and WAN networks.

  • Computer Networks laboratories 2024

    e-Learning Courses
    • M. Hoeft
    • T. Gierszewski
    • I. Szczypior
    • J. Grochowski
    • J. Rak
    • W. Gumiński
    • K. Jurczenia
    • K. Gierłowski
    • K. Nowicki

    Acquiring the skills to design, build and configure computer networks. Demonstration of skills to identify and analyze selected protocols and mechanisms of LAN and WAN networks.

  • Systemy z Uczeniem Maszynowym / Systems with Machine Learning 2022/2023

    e-Learning Courses
    • J. Cychnerski

  • Computer Networks EN 2022

    e-Learning Courses
    • J. Woźniak
    • J. Grochowski
    • K. Gierłowski

    The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

  • Computer Networks EN 2023

    e-Learning Courses
    • M. Hoeft
    • J. Woźniak
    • J. Grochowski
    • K. Gierłowski

    The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

  • Machine Design 2

    e-Learning Courses
    • J. Łubiński

    Machine Design 2, what else?

  • E-learning courses

    e-Learning Courses
    • A. Wardziński
    • G. Gołaszewski
    • T. Zawadzka
    • A. Karpus
    • M. Wróbel
    • A. Przybyłek
    • W. Waloszek
    • A. Landowska
    • K. Goczyła

    Strona 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.

  • Modeling in Machine Design

    e-Learning Courses
    • K. Mazur
    • R. Gawarkiewicz
    • M. Wasilczuk
    • G. Rotta

    The course is meant to show the students how to build calculation models in machine design

  • TIME SERIES MODELING (PG_00063724)

    e-Learning Courses
    • P. Paradowski

    Effectively uses in-depth knowledge of economic time series analysis methods, applying the results of analyzes to formulate forecasts. Subject contents: 1. Classical time series analysis (trend, cyclical fluctuations) 2. Exponential smoothing models 3. Holt and Winters model 4. Stochastic processes and time series 5. Characteristics of stochastic processes 6. Process spectrum autocorrelation functions 7. Study of the stationarity...

  • e-Learning - user's guide for students

    e-Learning Courses

    e-Learning - user's guide for students

  • Machine Design Selected Problems

    e-Learning Courses
    • M. Wasilczuk

    In this course a deepened knowlege of the problems of machine design selected and pointed out by the students is presented

  • Machine Design 3, 2021/22

    e-Learning Courses
    • J. Łubiński

    The course contains a set of practical excercises in machine design with the goal to integrate and consolidate the earlier competency in general machine design.

  • Modelling in machine design (PG_00057377)

    e-Learning Courses
    • M. Wasilczuk

    goal 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

  • SELECTED PROBLEMS OF MACHINE DYNAMICS (2024)

    e-Learning Courses
    • M. K. Gerigk

    The 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...

  • Modeling the Networks - ed. 2021/2022

    e-Learning Courses

    The goal of this course is to present optimization problems for road networks, where the road network is a set of n distinct lines, or n distinct (open or closed) line segments, in the plane, such that their union is a connected region.

  • 2024 Microscopy in Environmental Monitoring

    e-Learning Courses
    • P. Kosmela
    • I. E. Kłosowska-Chomiczewska
    • E. Piłat
    • E. Głowińska
    • P. Szumała
    • M. Strankowski
    • J. Kucińska-Lipka
    • A. Brillowska-Dąbrowska
    • M. Włoch
    • A. Macierzanka

    The online repository will be used to teach students by presenting them lectures about variable aspects of microscopy techniques used in environmental monitoring. 

  • Modelling in machine design (PG_00057377)_2024

    e-Learning Courses
    • R. Gawarkiewicz
    • M. Wasilczuk

    Machine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course

  • Data Warehouses - Part-time studies - 2022/2023

    e-Learning Courses
    • G. Gołaszewski
    • T. Zawadzka

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

  • Data Warehouses - Part-time studies - 2023/2024

    e-Learning Courses
    • G. Gołaszewski
    • T. Zawadzka

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

  • Machine Design - selected problems (M:320384W0)

    e-Learning Courses
    • M. Wasilczuk
    • G. Rotta

    Machine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course

  • Machine Design - selected problems (M:320384W0)

    e-Learning Courses
    • K. Mazur
    • M. Wasilczuk
    • G. Rotta

    Machine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course

  • Monitoring budowli i źródeł pozyskiwania energii

    e-Learning Courses
    • M. Miśkiewicz

    Monitoring budowli i źródeł pozyskiwania energii

  • Selected Problems of Machine Dynamics

    e-Learning Courses
    • M. K. Gerigk

    The 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

  • MANAGEMENT AND ENVIRONMENT MONITORING 2021/22 - summer

    e-Learning Courses
    • M. Kasprzyk
    • M. Gajewska

    The course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...

  • MANAGEMENT AND ENVIRONMENT MONITORING 2022/23 - summer

    e-Learning Courses
    • M. Kasprzyk
    • M. Gajewska

    The course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...

  • MANAGEMENT AND ENVIRONMENT MONITORING 2022/23 - winter

    e-Learning Courses
    • M. Kasprzyk
    • M. Gajewska

    The course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...

  • Management and Environmental Monitoring 2023/2024 - winter

    e-Learning Courses
    • M. Kasprzyk
    • M. Gajewska

    The course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...

  • Management and Environmental Monitoring 2024/2025 - winter

    e-Learning Courses

    The course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...

  • 2022 MICROSCOPY IN ENVIRONMENTAL MONITORING -lecture - Nowy

    e-Learning Courses
    • I. E. Kłosowska-Chomiczewska
    • E. Piłat
    • P. Szumała
    • R. Piątek
    • P. Gnatowski
    • J. Kucińska-Lipka
    • P. Szarlej
    • A. Brillowska-Dąbrowska
    • Ł. Zedler
    • M. Włoch... and 2 others

    The online repository will be used to teach students by presenting them lectures about variable aspects of microscopy techniques used in environmental monitoring. 

  • Computer Networks - lectures 2024/2025

    e-Learning Courses
    • M. Hoeft
    • A. Tomaszewski
    • J. Grochowski
    • K. Gierłowski

    Student uczy się: jak mówić o sieciach komputerowych - poznaje podstawowe pojęcia (np. protokół komunikacyjny), ich znaczenie i związki; jak sieci komuterowe są zbudowane i wykorzystywne - uczy się podstaw działania sieci (np. komutacja pakietów) i architektury sieci (np. płaszczyzny sieci) oraz poznaje podstawowe technologie sieciowe (np. protokół IP); jak sieci komputerowe ewoluują - poznaje historię rozwoju sieci, ewolucję wymagań,...

  • Desiging e-learning courses and distance learning (level 1. certified course)

    e-Learning Courses
    • J. Mytnik
    • O. Ludyga

  • Blended Learning Tasks 2

    e-Learning Courses
    • I. Mokwa-Tarnowska

    Kurs dla Wydziału Mechanicznego

  • Blended Learning Tasks 6

    e-Learning Courses
    • I. Mokwa-Tarnowska

    Kurs dla Wydziału Architektury

  • Deep Learning w Keras

    e-Learning Courses
    • A. Karpus

    Kurs przeznaczony dla słuchaczy studiów podyplomowych Sztuczna inteligencja i automatyzacja procesów biznesowych w ujęciu praktycznym - edycja biznesowa.