Search results for: computer aided analysis - Bridge of Knowledge

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Search results for: computer aided analysis

Search results for: computer aided analysis

  • Computer aided machine design

    e-Learning Courses
    • J. Czyżewicz

  • Computer Aided Design - 2022/23

    e-Learning Courses
    • C. Jungnickel

  • Computer Aided Design 23/24

    e-Learning Courses
    • C. Jungnickel

  • Computer aided machine design 2022/23

    e-Learning Courses
    • J. Czyżewicz

  • Computer Aided Manufacturing Systems (M:320417W0)

    e-Learning Courses
    • M. Deja

  • Computer Aided Machine Design and Manufacturing (PG_00060425)

    e-Learning Courses
    • M. Deja

  • Scientific methods of computer data analysis and presentation

    e-Learning Courses
    • T. E. Berezowski

  • Computer Aided Design ERASMUS, sem. II _2018/19

    e-Learning Courses
    • M. Helenowska-Peschke

  • Computer Aided Maintnance of the Stock of Machines -DaPE 2022/23

    e-Learning Courses
    • W. Blacharski
    • D. Chuchała
    • A. Sommer
    • T. Dziabas

  • Computer Aided Manufacturing Systems, PG_00054486, Summer semester 2021/2022

    e-Learning Courses
    • D. Zieliński
    • M. Deja

    Getting acquainted with the subject of computer-aided manufacturing as well as with the tendencies inmodern manufacturing

  • Computer aided maintenance 2022 - W, - IDE II (M:32027W0) - Nowy

    e-Learning Courses
    • W. Blacharski
    • D. Chuchała
    • A. Suchta

  • Computer Aided Manufacturing Systems (M:320417W0) (PG_00063000) 2023-24 Summer Semester

    e-Learning Courses
    • M. Deja

  • Computer Aided Manufacturing Systems (M:320417W0) Mechatronika sem. 1, 2022/2023 lato

    e-Learning Courses
    • M. Deja

  • [AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023

    e-Learning Courses
    • T. E. Berezowski

    {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

  • [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024

    e-Learning Courses
    • T. E. Berezowski

    {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

  • Computer aided maintenance of the stock of machines - W/L (M:320406W0) DaEP 2023/2024 summer semester

    e-Learning Courses
    • D. Chuchała
    • A. Suchta
    • A. Sommer
    • M. Deja

  • Computer aided process planning, W/P, MiBM - IDE, 2. st., sem. 02, zimowy 22/23 (PG_00057404)

    e-Learning Courses
    • M. Siemiątkowski

    Lecture & labs

  • Computer aided process planning, w/p, MiBM - IDE, 2. st., sem. 02, zimowy 2023/2024 (PG_00057404)

    e-Learning Courses
    • M. Siemiątkowski

    Lecture & Project

  • Computer Controlled Systems Lab - 2023/2024

    e-Learning Courses
    • P. Raczyński

    Computer Controlled Systems Lab The course includes 5 individual projects and their laboratory implementation. The topics:- Job analysis and tuning digital servo- Usage of a PC computer and MatLab package for controlling the dynamic object as a model of the tethered helicopter- Use of C language and the PC to control the plant in real time- Use of assembly language, and a microcontroller to control the plant in real time- Use...

  • Computer Controlled Systems Lab - Nowy - Nowy

    e-Learning Courses
    • P. Raczyński
    • M. Niedźwiecki

    Computer Controlled Systems Lab The course includes 5 individual projects and their laboratory implementation. The topics:- Job analysis and tuning digital servo- Usage of a PC computer and MatLab package for controlling the dynamic object as a model of the tethered helicopter- Use of C language and the PC to control the plant in real time- Use of assembly language, and a microcontroller to control the plant in real time- Use...

  • CAD Introduction (2023/24)

    e-Learning Courses
    • D. Cyparski

    The course aim is to demonstrate the application of Computer Aided Design in preparation of architectural drawings and project presentations. No previous CAD experience is necessary. Using hands-on exercises, students explore how to create project presentations using 2D drawings and 3D models created in AutoDesk AutoCAD and other programs.

  • Prototypowanie wspomagane komputerowo [2022/23]

    e-Learning Courses
    • M. Adamowicz
    • J. Guziński
    • P. Kołodziejek

    Wprowadzenie do technik CAx komputerowe wspomaganie (Computer Aided ...). Programy wspomagające projektowanie. Szybkie prototypowanie (Rapid prototyping). Systemy CAD/CAE/CAM w elektrotechnice. Komputerowo wspomagane: projektowanie elementów indukcyjnych (FEMM), projektowanie układów elektronicznych (LTSpice), projektowanie obwodów drukowanych (Eagle), programowanie obrabiarek CNC, projektowanie CAD 3D do druku przestrzennego....

  • Computer controlled systems - 2022/2023

    e-Learning Courses
    • P. Raczyński

    materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution...

  • CAD. Introduction (2022/2023)

    e-Learning Courses
    • D. Cyparski

    Conducting unit: Faculty of ArchitectureField of the study: ArchitectureAcademic year: 2022/2023 Winter TermDuration:  15 weeks (30 hours laboratory per term) Subject objectives: The course aim is to demonstrate the application of Computer Aided Design in preparation of architectural drawings and project presentations. No previous CAD experience is necessary. Using hands-on exercises, students explore how to create project presentations...

  • CAD. 3D modelling (2022/2023) BSc Arch, sem 2

    e-Learning Courses
    • D. Cyparski

    Conducting unit: Faculty of ArchitectureField of the study: ArchitectureAcademic year: 2022/2023 Summer TermDuration:  15 weeks (30 hours laboratory per term) Subject objectives: The course aim is to demonstrate the application of Computer Aided Design in preparation of architectural 3D models and project presentations. No previous CAD experience is necessary. Using hands-on exercises, students explore how to create project presentations...

  • CAD. 3D modelling (2023/2024) BSc Arch, sem 2

    e-Learning Courses
    • D. Cyparski

    Conducting unit: Faculty of ArchitectureField of the study: ArchitectureAcademic year: 2023/2024 Summer TermDuration:  15 weeks (30 hours laboratory per term) Subject objectives: The course aim is to demonstrate the application of Computer Aided Design in preparation of architectural 3D models and project presentations. No previous CAD experience is necessary. Using hands-on exercises, students explore how to create project presentations...

  • Systemy komputerowe w projektowaniu 2021 lato

    e-Learning Courses

    Cel: Wykonanie projektu zgodnie z wybranym tematem z wykorzystaniem wybranych narzędzi komputerowych nowoczesnych systemów CAD/CAM/FEA.  Zakres: Praktyczne ćwiczenia pokazujące możliwości narzędzi nowoczesnych systemów CAx. Nauka budowania geometrii modeli parametrycznych. Przeprowadzanie podstawowych analiz numerycznych wytrzymałości konstrukcji metodą Elementów Skończonych (MES). Opracowywanie dokumentacji technicznej. Wykonanie...

  • Financial Analysis exercises - New

    e-Learning Courses
    • P. Figura

    To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

  • 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.

  • CCS-lecture-2023-2024

    e-Learning Courses
    • P. Raczyński

    materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution optimization...

  • Financial Analysis exercises - New (copy)

    e-Learning Courses
    • K. Kubiszewska

    To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

  • Decisions Analysis 2023/2024

    e-Learning Courses
    • N. Rizun

    This is content to the subject: "Decisions Analysis" to be used as a template for futher courses.

  • Qualitative data analysis methods

    e-Learning Courses
    • M. Starnawska

    This is the continuation of Qualitatative Data Analysis Methods course provided online

  • Decisions Analysis STAC 22/23

    e-Learning Courses
    • G. Musiatowicz-Podbiał

    This is content to the subject: "Decisions Analysis" 22/23

  • Data Analysis 2023/24

    e-Learning Courses
    • K. Flisikowski

    Data Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24

  • Essentials of computer science for Bachelor in Management students

    e-Learning Courses
    • J. Durkiewicz

    Various resources accompanying "Essentials of computer science" classes for Bachelor in Management 1st year students.

  • Macroeconomic analysis

    e-Learning Courses
    • M. Olczyk

  • Market analysis

    e-Learning Courses
    • A. Kozłowska

    Kurs przeznaczony dla studentów studiów stacjonarnych Inżynierii Danych, I stopnia, semestr 7 (zimowy) w roku akademickim 2021/2022.

  • Financial Analysis

    e-Learning Courses
    • K. Kubiszewska

  • Decision analysis

    e-Learning Courses
    • B. Woliński

  • Computer modeling and design of materials 2022/2023

    e-Learning Courses
    • S. Winczewski

    Computer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3

  • Human Computer Interaction

    e-Learning Courses
    • T. Kocejko

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

    e-Learning Courses
    • B. Woliński

    Decision analysis (l/lab)_winter 2020/21

  • 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:...

  • METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

    e-Learning Courses
    • P. Paradowski

    METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

  • Selected aspects of modern X-ray structural analysis 2024

    e-Learning Courses
    • J. Chojnacki

    Selected Aspects of Modern X-ray Structural Analysis

  • Selected Aspects of Modern X-ray Structural Analysis 2023

    e-Learning Courses
    • J. Chojnacki

    Selected Aspects of Modern X-ray Structural Analysis

  • Fundamentals of microscopic analysis

    e-Learning Courses
    • A. Zieliński

  • 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.