Search results for: DATA-DRIVEN MODELLING, MICROWAVE DESIGN, SURROGATE MODELLING, ARTIFICIAL NEURAL NETWORKS, DEEP LEARNING - Bridge of Knowledge

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Search results for: DATA-DRIVEN MODELLING, MICROWAVE DESIGN, SURROGATE MODELLING, ARTIFICIAL NEURAL NETWORKS, DEEP LEARNING

Search results for: DATA-DRIVEN MODELLING, MICROWAVE DESIGN, SURROGATE MODELLING, ARTIFICIAL NEURAL NETWORKS, DEEP LEARNING

  • 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:...

  • 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.

  • 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

  • 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

  • Modelling methods in design (CAD, FEM)

    e-Learning Courses
    • G. Rotta

  • 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.

  • Business process modelling

    e-Learning Courses
    • M. Grzesiak

  • Business process modelling

    e-Learning Courses
    • M. Grzesiak

    Welcome to the Business Process Modeling course! We will travel together among the business processes world and its modeling with the BPMN ;) I hope it will be valuable for your future. See you soon, Marzena Grzesiak

  • Mathematical and numerical modelling, L, IDE, sem. 01, summer 21/22,(M:00057379)

    e-Learning Courses
    • K. J. Kaliński

    Modelling. Optimal control. Modal analysis. High speed milling. Mechatronic design.

  • Mathematical and Numerical Modelling, L, IDE IInd, sem.01, summer, 2022/23(00057379)

    e-Learning Courses
    • K. J. Kaliński

    Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

  • Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_00057379)

    e-Learning Courses
    • K. J. Kaliński

    Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

  • Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)

    e-Learning Courses
    • G. Banaszek

    Project on Mathematical and numerical modelling.

  • Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)

    e-Learning Courses
    • G. Banaszek

    Project on Mathematical and numerical modelling.

  • 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.

  • Selected aspects of the design of artificial organs

    e-Learning Courses
    • P. Jasiński

    dla III stopnia EiT+IBM

  • 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...

  • Numerical Modelling in flow systems design , W/L ,Energetyka. sem 6, lato 22/23 PG_00042087

    e-Learning Courses

  • Numerical Modelling in flow systems design_W/S_Energetyka_sem6_lato 23/24_PG_00042087

    e-Learning Courses
    • T. Muszyński

    Przedstawienie podstaw modelowania komputerowego procesów mających zastosowanie w technice cieplnej tak aby słuchacz był w stanie zrozumieć i zinterpretować wyniki otrzymane przy pomocy kodów obliczeniowych

  • Databases (Data Engineering) - 2022

    e-Learning Courses
    • A. Nabożny
    • G. Gołaszewski
    • M. Wróbel
    • A. Landowska
    • K. Goczyła

    The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

  • Databases (Data Engineering) - 2023

    e-Learning Courses
    • G. Gołaszewski
    • A. Karpus
    • M. Pykała
    • A. Landowska
    • K. Goczyła

    The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

  • 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.

  • Selected topics in electrical engineering – modelling of, electrical machines [2021/22]

    e-Learning Courses
    • A. Lewicki
    • M. Morawiec
    • C. Odeh

  • Artificial Intelligence

    e-Learning Courses
    • J. Dembski
    • M. Smiatacz

  • Artificial intelligence

    e-Learning Courses
    • J. Dembski
    • M. Smiatacz

  • Surrogate methods in system engineering

    e-Learning Courses
    • A. Bekasiewicz

    {mlang pl} Dyscyplina:  Automatyka, Elektronika i Elektrotechnika Zajęcia fakultatywne dla doktorantów II roku Prowadzący:   dr hab. inż. Adrian Bekasiewicz Liczba godzin: 15 h Forma zajęć: wykład {mlang} {mlang en} Discipline: control, electronic and electrical engineering Facultative course for 2nd year PhD students Academic teacher:  dr hab. inż. Adrian Bekasiewicz Total hours of training: 15 teaching hours Course...

  • CAD. Integrated Architectural Design BSc in Arch., sem 3 2022/2023

    e-Learning Courses
    • J. Badach
    • D. Cyparski

    During the course students will learn how to use BIM (Building Information Modelling) tools to model the project site and to develop preliminary design concept.Students will work in pairs or groups, using Autodesk Revit software for terrain, site and building modelling.

  • 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.

  • e-Learning - user's guide for students

    e-Learning Courses

    e-Learning - user's guide for students

  • 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.

  • L23_24 Artificial Intelligence in Healthcare

    e-Learning Courses
    • J. Rumiński

  • Vehicle Suspension Design, W, TiL II st., sem. 03, letni 23/24 (PG_00062882)

    e-Learning Courses
    • J. Kropiwnicki

    Role of the suspension. Suspension kinematics and compliances theoretical background and practical measuring schemes. Suspension design an overview of suspension design properties and review of current design philosophy. Review of typical designs. Current design trends. Practical implications. Case studies introduction to modelling and simulation software and discussion of practical case studies.

  • Vehicle Suspension Design, W, MiBM II st., sem. 03, letni 23/24 (PG_00062882)

    e-Learning Courses
    • J. Kropiwnicki

    Role of the suspension. Suspension kinematics and compliances theoretical background and practical measuring schemes. Suspension design an overview of suspension design properties and review of current design philosophy. Review of typical designs. Current design trends. Practical implications. Case studies introduction to modelling and simulation software and discussion of practical case studies.

  • Mathematical and numerical modelling, P, IDE+EMSS, sem. 01, letni 23/24, stacjonarne, II stopień, (PG_00057379)

    e-Learning Courses
    • G. Banaszek

    Opanowanie wiedzy i umiejętności dotyczących tworzenia oraz rozwiązywania modeli obliczeniowych wybranych układów mechanicznych.  

  • CAD. Integrated Architectural Design, MSc Arch (2022/2023)

    e-Learning Courses
    • D. Cyparski

    The programme will provide students with a solid grounding in BIM (Building Information Modelling) using Autodesks Revit Architecture. Students will review the advanced features of Revit for Architecture, a tool to support BIM (Building Information Modelling) and delivery of 3D digital models and related documentation. The lesson plans will specifically introduce students to common workflows and problem-solving skills while creating...

  • CAD. Integrated Architectural Design, BSc Arch (2023-24)

    e-Learning Courses
    • D. Cyparski

    The programme will provide students with a solid grounding in BIM (Building Information Modelling) using Autodesks Revit Architecture. Students will review the advanced features of Revit for Architecture, a tool to support BIM (Building Information Modelling) and delivery of 3D digital models and related documentation. The lesson plans will specifically introduce students to common workflows and problem-solving skills while creating...

  • Artificial Intelligence - Summer 2023/24

    e-Learning Courses
    • J. Dembski
    • A. Sobociński

  • Data Warehouses 2023/2024

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

    The 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.

  • Elective design II Reinventing Gdańsk / Reinventing Gdynia

    e-Learning Courses
    • K. Życzkowska

    The workshop will examine important modern architectural buildings in Gdańsk/ Gdynia in different political, cultural, economic and environmental contexts. The students will be divided into groups. Each group will be led by the curator of the exhibition. They will identify and evaluate the architectural values of the building through analyses, deconstructions and syntheses, focusing on understanding the basic principles of architecture...

  • CAD Integrated Architectural Design, MSc Arch (2023-24)

    e-Learning Courses
    • D. Cyparski

    Detailed understanding of optimizing the design process using parametric BIM (Building Information Modeling) in the Autodesk Revit Architecture program. Practical design exercises included familiarize students with methods of integrating parametric design and exchanging data with other CAD/BIM programs, modifying parametric objects and generating automatic 2D/3D architectural documentation. The lesson plan introduces students to...

  • Data Mining 2022/2023

    e-Learning Courses
    • W. Waloszek

    This is a web page for our course in Data Mining.

  • Data Mining 2021/2022

    e-Learning Courses
    • W. Waloszek

    This is a web page for our course in Data Mining.

  • Qualitative data analysis methods

    e-Learning Courses
    • M. Starnawska

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

  • Data Structures (Doctoral Studies)

    e-Learning Courses
    • K. Goczyła

    The course covers basic data structures and computer algorithms used in information tehcnology applications. 

  • Data Mining Path

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

    Within this path, various issues regarding data mining and their practical application in various systems are discussed.   4 semestr specjalności ISI i ZAD

  • Data Warehouses DE 2022/2023

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

    The 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.

  • Data Warehouses DE 2023/2024

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

    The 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.

  • Mathematical and numerical modelling, P, IDE, sem. 01, summer 21/22,(M:00057379) (MaNM, P, summer 21/22)

    e-Learning Courses
    • W. Wojnicz

    The aim of this subject is to acquire knowledge to implement engineering problem in Matlab code