Search results for: finite element analysis

• Decision analysis (l/lab)_STACJ._winter 2021/22

  e-Learning Courses

  • B. Woliński

• E-marketing and trend analysis 2024, ID, sem. 6

  e-Learning Courses

  • M. Brzozowska-Woś

• NEW AND FAST ANALYTICAL TECHNIQUES IN FOOD QUALITY ANALYSIS 2024

  e-Learning Courses

  • K. Parchem
  • I. Koss-Mikołajczyk
  • A. Sommer
  • P. Filipkowski
  • H. Staroszczyk
  • A. Kościelak

• Planning of experiments and error analysis, W, MiBM, letni 21/22 (PG_00057374)

  e-Learning Courses

  • P. Dąbrowski

• [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}      

• Planning of experiments and error analysis, C, MiBM, letni 21/22 (PG_00057374)

  e-Learning Courses

  • P. Dąbrowski

• [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}      

• Planning of experiments and error analysis, C, IDE, sem.01, letni 22/23 (PG_00057374)

  e-Learning Courses

  • P. Dąbrowski

• Planning of experiments and error analysis, W, IDE, sem.01, letni 22/23 (PG_00057374)

  e-Learning Courses

  • P. Dąbrowski

• Planning of experiments and error analysis, W/C, IDE, sem. 1, letni, 2023/24

  e-Learning Courses

  • D. Mikielewicz
  • M. Pysz

• Naprowadzaniei pozycjonowanie obiektów oceanotechnicznych

  e-Learning Courses

  • M. Reichel

  wykonanie DP capability analysis

• Operational Research - Queuing Systems 2022

  e-Learning Courses

  • J. Konorski

  Components, characteristics, classification, analysis, and applications of queuing systems.

• Fundamentals of Electrotechnics and Electronics II - project China [2023/24]

  e-Learning Courses

  • P. Chrzan

  Introduction and analysis of fundamental electronic components, circuits and applications.

• Summer Rural Practice

  e-Learning Courses

  • A. Kurkowska
  • P. Duch-Żebrowska

  Summer practice - rural analysis, works with the map, terrain and people.

• Rural Summer Practice - 2023

  e-Learning Courses

  • Z. Afzali
  • P. Duch-Żebrowska
  • M. Koperska-Kośmicka

  Summer practice - rural analysis, works on the map, in a terrain and with the people.

• 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...

• 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.

• 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.

• 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.

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • R. Jankowski
  • A. Żak

  {mlang pl} Dyscyplina: inżynieria mechaniczna Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof. PG Liczba godzin: 45 Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof....

• 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.

• 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.

• 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...

• 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

• Process engineering in circular economy

  e-Learning Courses

  • J. Mąkinia

  Definition and principles of the circular economy (CE). The transition from a linear model to a circular model. Business models for the CE. Circular design and innovation. CE assessment carbon footprint, life cycle assessment. Case studies of the cities implementing the CE concept. CE policy and legislation (EU and Poland). Wastewater treatment plants as an element of the CE. Energy and nutrient recovery technologies in wastewater...

• 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...

• Arch./Urban Project II

  e-Learning Courses

  • J. Cudzik
  • M. Gawdzik

  A design studio focused on issues related to the creation of sustainable and climate-responsible facilities. The design task is related to the concept of development of the Gdańsk University of Technology campus. The implemented project will be both a task related to urban and architectural design. A very important element of the design process will be a smooth transition between various scales and problems that architects and...

• 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.

• Team project I (2020/21)

  e-Learning Courses

  • A. Dąbrowski
  • M. Chodnicki

  Within this team project, students will be designing a space mission. Each student will choose a subsystem: mission analysis, propulsion, communication, structure, mechanisms, power, thermal, onboard data handling. Together, by means of concurrent engineering a primary system definition will be completed.

• Architectural Project I and II 2023/2024

  e-Learning Courses

  • J. Krenz
  • M. Wojtkiewicz

  The aim of the course is to teach the method of creating an architectural form in a style that reflects a given topic drawn in the form of an ideogram. Creating architecture in this way makes it possible to endow the architectural form with meanings contained in the art, so that it becomes an important element of the existential space. An important feature of the ideogram is its artistic value. In this way, it can additionally...

• Economic growth_winter2022_2023

  e-Learning Courses

  • J. Wolszczak-Derlacz

  By the completion of the course student should be able to: a) identify and use key concepts related to the growth theories and process of convergence, b) apply comparative analytical skills necessary for cross-cultural analysis, c) curry an independent research on selected topics and to present the results in a well-organized way.

• Art Workshop III

  e-Learning Courses

  • E. Urwanowicz

  The influence of light on form and space. Drawing and painting studies of light and shadow based on the observation of a single object and interior (or architectural space) are a pretext to show the variability of light and its influence on the perception of form, color, space and building a mood. An important element of the task is to express the value and color differences within the same matter depending on the type of light,...

• Group project (NT2-eng. sem.3) - 2023

  e-Learning Courses

  • A. Witkowska

  Course for 2nd degree Students of Nanotechnology, sem. 3. The aim of the course is to prepare students for teamwork by implementing a project involving the analysis of the problem by the team, presenting a proposal to solve the problem, conducting research/tests and preparing a report.