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

  • Chemistry and Nanochemistry 2022.

    e-Learning Courses
    • M. Prześniak-Welenc
    • M. Bobrowski

    The course consists of lectures (15 x 2 hours) and laboratories (5 x 3 hours).The goal of this course is to teach general chemistry and adequately apply it to nano-size systems, their synthesis and analysis. An emphasis is laid on an analysis of electronic structure of molecules and prediction of  resulting properties and reasons of consequent behaviour in chemical reactions. The course also encloses laboratory classes, where the...

  • Spectroscopy Methods in Nanotechnology - laboratory 2022

    e-Learning Courses
    • W. P. Korzeniewski
    • A. Witkowska

    Course for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2.

  • Spectroscopy Methods in Nanotechnology - laboratory 2023

    e-Learning Courses
    • L. Wicikowski
    • A. Witkowska

    Course for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2.

  • Operational Research - Queuing Systems 2024

    e-Learning Courses
    • J. Konorski

    Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

  • Operational Research - Queuing Systems 2024

    e-Learning Courses

    Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

  • Operational Research 2024

    e-Learning Courses

    Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

  • Elective Project 4 sem. (Daylight)

    e-Learning Courses
    • N. Sokół
    • R. Orlik

    The elective project is dedicated to daylight analysis within a built environment.

  • 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.

  • NOVEL ANALYTICAL TECHNIQUES seminars

    e-Learning Courses
    • J. Płotka-Wasylka

    Students will gain theexperience how to presents the knowledge in the range of analysis and monitoring of pullutants.

  • Programming of GNSS applications [EMSS]

    e-Learning Courses
    • P. Falkowski-Gilski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • Satellite navigation [EMSS]

    e-Learning Courses
    • P. Falkowski-Gilski
    • J. Demkowicz

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • Satellite navigation [EMSS]

    e-Learning Courses
    • P. Falkowski-Gilski
    • J. Demkowicz

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • Programming of GNSS applications [EMSS]

    e-Learning Courses
    • P. Falkowski-Gilski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • [EMSS] Satellite Navigation 2023/24

    e-Learning Courses
    • P. Falkowski-Gilski
    • J. Demkowicz
    • Z. Łubniewski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • [EMSS] Programming of GNSS applications 2023/24

    e-Learning Courses
    • P. Falkowski-Gilski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • Fundamentals of Electrotechnics and Electronics 1 [2022/23]

    e-Learning Courses
    • J. Horiszny

    Basic concepts in electrical engineering, analysis of electric circuits, phenomena occurring in electrical systems.

  • PDW: Oświetlenie dzienne w architekturze sem 4 23/24

    e-Learning Courses
    • N. Sokół
    • S. Abbasi

    The elective project  class is dedicated to daylight analysis within the built environment.

  • Elective course: Daylight sem 4 and 6 23/24

    e-Learning Courses
    • N. Sokół
    • S. Abbasi

    The elective project  class is dedicated to daylight analysis within the built environment.

  • Elective Project II (Erasmus) sem. 6

    e-Learning Courses
    • N. Sokół
    • R. Orlik

    The elective project II class is dedicated to daylight analysis within the built environment.

  • Elective Project I ENG sem. MSc (23/24)

    e-Learning Courses
    • N. Sokół
    • R. Orlik

    The elective project I class is dedicated to daylight analysis within the built environment.

  • Elective Project II ENG sem. 5 (23/24)

    e-Learning Courses
    • N. Sokół
    • R. Orlik

    The elective project II class is dedicated to daylight analysis within the built environment.

  • Elective Project III

    e-Learning Courses

    The elective project II class is dedicated to daylight analysis within the built environment.

  • Introduction to quantum mechanics 2022/2023

    e-Learning Courses
    • S. Winczewski

    Introduction to quantum mechanics, kierunek: Nanotechnologia, specjalność: Nanostructures and computer simulations in material science, II stopień, semestr 1

  • Analiza danych typu Big Data 2022/23

    e-Learning Courses
    • P. Weichbroth
    • W. Waloszek

    The 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.

  • Analiza danych typu Big Data 2023/24 KOPIA

    e-Learning Courses
    • W. Waloszek

    The 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.

  • Satellite remote sensing - EMSS - 2022

    e-Learning Courses
    • T. E. Berezowski
    • Z. Łubniewski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including HSB specialries Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).

  • Materials Science - classical particle approach 2023/2024

    e-Learning Courses
    • S. Winczewski
    • F. Oseko

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

  • Satellite remote sensing - EMSS - 2023

    e-Learning Courses
    • T. E. Berezowski
    • Z. Łubniewski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including HSB specialries Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).

  • [EMSS] Satellite Technologies: Satellite as a System, Satellite Remote Sensing 2023/24

    e-Learning Courses
    • T. E. Berezowski
    • Z. Łubniewski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including HSB diploma profiles Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).

  • Construction Management, WILIS, Civil Engineering, sem. I, 2022/2023

    e-Learning Courses
    • M. Apollo
    • M. Pawelska-Mazur

    Techniques and methods of organization and planning in construction projects - review. Analysis of construction schedule. Ms Project as a construction planning tool.

  • Construction Management, WILIS, Civil Engineering, sem. I, 2023/2024

    e-Learning Courses
    • M. Apollo
    • M. Pawelska-Mazur

    Techniques and methods of organization and planning in construction projects - review. Analysis of construction schedule. Ms Project as a construction planning tool.

  • Non-relational Databases 2022/2023

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

    This course discusses the three types of non-relational databases (i.e. document, graph, key-value). The course is aimed at students in the 7th semester of computer science.

  • Non-relational Databases 2023/2024

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

    This course discusses the three types of non-relational databases (i.e. document, graph, key-value). The course is aimed at students in the 7th semester of computer science.

  • Podstawy uczenia głębokiego 2022

    e-Learning Courses
    • K. Draszawka
    • S. Olewniczak
    • J. Szymański

    {mlang pl}Kurs podstaw uczenia głębokiego przeznaczony dla studentów kierunku Informatyka.{mlang} {mlang en}This is a course about deep learning basics dedicated for Computer Science students.{mlang}

  • Manufacturing Engineering, PG_00050286, DaPE, 2023, s. zimowy (Archiwizowany 2023-11-02)

    e-Learning Courses
    • M. Deja

    Acquainting with basic manufacturing techniques in terms of technological effects and properties of the workpiece surface layer. Analysis of manufacturing costs, designing the technological process.

  • Diploma seminar - 2022

    e-Learning Courses
    • A. Witkowska

    Course "Diploma seminar" is dedicated for students of NT, Nanostructures and Computer Simulations in Material Sciences, MSc program, sem.4.

  • Diploma seminar - 2023

    e-Learning Courses
    • A. Witkowska

    Course "Diploma seminar" is dedicated for students of NT, Nanostructures and Computer Simulations in Material Sciences, MSc program, sem.4.

  • Głębokie Sieci Neuronowe Do Analizy Danych

    e-Learning Courses
    • T. M. Boiński
    • K. Draszawka

    {mlang pl}Kurs przeznaczony jest dla studentów kierunku Inżynieria Danych.{mlang} {mlang en}Course for Data Analysis students.{mlang}

  • European Economic Development 2023

    e-Learning Courses
    • A. Parteka
    • R. Ślosarski

    Main aim of the subject is to transfer knowledge on theoretical and empirical aspects of economic development in Europe.  Key topics: •concepts of economic development, alternative measures of development •factors of economic growth and development (‘determinants of growth’) •history of economic development in Europe •cross-country and cross-regional comparisons •sources: where to find information and data needed for empirical...

  • DAYLIGHT IN ARCHITECTURE (Elective Project I: MSc term 1) - 23-24

    e-Learning Courses
    • N. Sokół

    The objectives of this course are:   To familiarize students with the role and importance of daylight in shaping building spaces and interiors. To learn about the basics of daylight simulations in the context of complex design decisions and for LEED and BREEAM, integrated design purposes. Proposed assignments 1 & 2: 1. Daylight analysis exterior, the interior of the iconic building (sunlight provision, daylight factor, and...

  • 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.

  • Geotechnics

    e-Learning Courses
    • L. Bałachowski

    The course is divided into two parts. The first is related to in-situ tests and their applications for the design of shallow and deep foundations. The second part is related to models of soil behavior and numerical analysis in geotechnical engineering.

  • Management and economic of engineer projects

    e-Learning Courses
    • A. Ossowska

    Lectures  - 05 October-30 November, 2023 1. Project management: Engineers, projects, management, planning and scheduling, personnel and organizational, team building, project control, estimating and ordering. 2. Team building: personality types, team effectiveness. 3. Project management: WBS, Gantt, Earned Value Method, critical path, risk management. 4. Economic Engineering: Establishing economic equivalence, Interest: cost...

  • Geotechnics 2023/2024

    e-Learning Courses
    • L. Bałachowski
    • M. Cudny
    • J. Konkol

    The course is divided into two parts: 1) Interpretation of in-situ tests and their application to foundation design 2) Soil models, interpretation of laboratory tests and their application to numerical analysis in geotechnics

  • Numerical methods in heat and fluid flow, PG_00057408

    e-Learning Courses
    • P. Ziółkowski

    Reiteration of information on thermodynamic cycles and extension of information on their modelling using commercial software tools. Presentation of balances, constitutive equations, how to set up conditions in CFD type codes. Equipment regulation and control in the context of heat exchangers.Presentation of the computational capabilities of the CFD calculation code ANSYS Fluent. Mass, momentum and energy balances in 0D and 3D terms.Analysis...

  • Podstawy Programowania 2022/23 (Informatyka & Inżynieria Danych)

    e-Learning Courses
    • R. Ostrowski
    • R. Janczewski
    • K. Manuszewski
    • D. Dereniowski
    • T. Pikies
    • A. Jastrzębski
    • T. Goluch
    • P. Kowalski

    {mlang pl}Kurs jest przeznaczony dla studentów pierwszego semestru kierunków Informatyka oraz Inżynieria Danych na Wydziale Elektroniki, Telekomunikacji i Informatyki.{mlang} {mlang en}This course is for 1st semester students of Data Engineering and Computer Science at Faculty of Electronics, Telecommunications and Informatics.{mlang}

  • Podstawy Programowania 2021/22 (Informatyka)

    e-Learning Courses
    • R. Ostrowski
    • D. Dereniowski
    • T. Pikies
    • K. Pastuszak
    • M. Kaczmarek
    • T. Goluch

    {mlang pl}Kurs jest przeznaczony dla studentów pierwszego semestru kierunków Informatyka oraz Inżynieria Danych na Wydziale Elektroniki, Telekomunikacji i Informatyki.{mlang} {mlang en}This course is for 1st semester students of Data Engineering and Computer Science at Faculty of Electronics, Telecommunications and Informatics.{mlang}

  • Podstawy Programowania 2023/24 (Informatyka & Inżynieria Danych)

    e-Learning Courses
    • R. Ostrowski
    • R. Janczewski
    • D. Dereniowski
    • T. Pikies
    • A. Jastrzębski
    • M. Małafiejski
    • T. Goluch
    • P. Kowalski

    {mlang pl}Kurs jest przeznaczony dla studentów pierwszego semestru kierunków Informatyka oraz Inżynieria Danych na Wydziale Elektroniki, Telekomunikacji i Informatyki.{mlang} {mlang en}This course is for 1st semester students of Data Engineering and Computer Science at Faculty of Electronics, Telecommunications and Informatics.{mlang}

  • Chemistry and Nanochemistry 2023

    e-Learning Courses
    • M. Prześniak-Welenc
    • M. Bobrowski

    We start from General Chemistry, including: calculus in chemistry, bonds, balancing the chemical reactions, redox reactions, electrochemistry, pH, acids, bases, salts, oxides, organic molecules, and many informations about synthesis, analysis and applications in nanochemistry.

  • Spectroscopy Methods in Nanotechnology 2023

    e-Learning Courses
    • A. Witkowska

    Course for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.