Search results for: AB-INITIO SIMULATIONS, EDGE-RICH DIAMOND/GRAPHENE NANOSTRUCTURES, ELECTRON FIELD EMISSION, KELVIN PROBE FORCE MICROSCOPY, NANOSCOPIC CROSS-SECTIONAL ANALYSIS

• Technical Physics 2024/25

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject: Technical physics; Lecture notes and other course materials.

• Team Strategies - sem. 2022/23

  e-Learning Courses

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Team Strategies - sem. 2023/24

  e-Learning Courses

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Team Strategies - sem. 2024/25

  e-Learning Courses

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Summer Rural Practice

  e-Learning Courses

  • A. Kurkowska
  • P. Duch-Żebrowska

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

• Technical physics (Data Engineering)

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

• Technical physics (Data Engineering)_22/23

  e-Learning Courses

  • D. Głowienka
  • S. Bielski

  Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

• Technical physics (Data Engineering)_23/24

  e-Learning Courses

  • D. Głowienka
  • S. Bielski
  • A. Sbai
  • R. C. Sia

  Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

• 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.

• Basics of Physics_21/22

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Basics of Physics_22/23

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Basics of Physics_23/24

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Mechanics I, T, DaPE, sem. 02, summer 21/22, (PG_00050273)

  e-Learning Courses

  • G. Banaszek

  Teaching students the basic laws of mechanics and develope skills tosolve practical problems in the field of statics and kinematics.

• Information Systems Security 2023

  e-Learning Courses

  • B. Czaplewski
  • M. Dzwonkowski
  • J. A. Litka

  The e-learning course for the Information Systems Security, in the field of Electronics and Telecommunications in the II degree studies (2nd year of studies, 3rd semester).

• Information Systems Security 2023/2024

  e-Learning Courses

  • B. Czaplewski

  The e-learning course for the Information Systems Security, in the field of Electronics and Telecommunications in the II degree studies (2nd year of studies, 3rd semester).

• 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
  • M. Ahmadi

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

• Elective Project II ENG sem. 5 (24/25)

  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.

• 2021 Construction management, PG_00042225

  e-Learning Courses

  • M. Pawelska-Mazur

  The course consists of several topics in the field of construction management: Construction projects, Project management, Risk management, Quality management, Financial Issues and Cash Flow, HR issues and motivation theories, etc.

• 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.

• Rural Design Studio- 2024

  e-Learning Courses

  • P. Duch-Żebrowska
  • M. Mochulska
  • M. Koperska-Kośmicka

  Summer practice - rural analysis, works on the map, in a terrain and with the people and subsequent Design Studio in winter semester of 2024/25

• 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.

• Decentralized energy systems. Social aspects of energy production and use (10h, 2 ECTS credits)

  e-Learning Courses

  • M. Galik
  • A. Klej
  • A. Augusiak

  The main aim of the course is to introduce students to the socio-political aspects of the decentralization of energy systems. The motivation behind these changes is not only due to technological developments or economic issues. The main driving force are wider social and political trends. Many energy supply projects that are being developed and implemented today assume an active role for consumers in energy production, who become...

• Physics I for GT 2024/25

  e-Learning Courses

  • M. Franz

  The course is designed for Students of the Faculty of Chemistry, field of study Green Technologies sem. 1, academic year 2024/25. It contains materials for tutorials and the laboratory in physics.

• Robotic manipulators, Lab, MiBM, st. I, sem.6 (PG_00053663) 03.2022 Fri

  e-Learning Courses

  • W. Sieklicki

  The course Manipulators and Industrial Robots (laboratory) is for students of the 6th semester of a full-time bachelor's degree studies of Mechatronics. The course includes  laboratory classes in the field of industrial manipulators - their construction, features, components, control, and modular robots - their programming and models.

• Robotic manipulators, Lab, MiBM, st. I, sem.6 (PG_00053663) 03.2023

  e-Learning Courses

  • W. Sieklicki

  The course Manipulators and Industrial Robots (laboratory) is for students of the 6th semester of a full-time bachelor's degree studies of Mechatronics. The course includes  laboratory classes in the field of industrial manipulators - their construction, features, components, control, and modular robots - their programming and models.

• Robotic manipulators, Lab, MiBM, st. I, sem.6 (PG_00053663) 03.2024 kopia 1

  e-Learning Courses

  • W. Sieklicki

  The course Manipulators and Industrial Robots (laboratory) is for students of the 6th semester of a full-time bachelor's degree studies of Mechatronics. The course includes  laboratory classes in the field of industrial manipulators - their construction, features, components, control, and modular robots - their programming and models.

• Robotic manipulators, Lab, MiBM, st. I, sem.6 (PG_00053663) 03.2024

  e-Learning Courses

  • W. Sieklicki

  The course Manipulators and Industrial Robots (laboratory) is for students of the 6th semester of a full-time bachelor's degree studies of Mechatronics. The course includes  laboratory classes in the field of industrial manipulators - their construction, features, components, control, and modular robots - their programming and models.

• Robotics, Lab, MiBM, st. II, sem.1 (PG_00057380) 03.2022 Thu

  e-Learning Courses

  • W. Sieklicki

  The course Robotics (laboratory) is for students of the 1st semester of a full-time Master degree studies of Machine Design. The course includes  laboratory classes in the field of industrial manipulators - their construction, features, components, control, and modular robots - their programming and models.

• 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}

• Project application workshops_Inter PhD_electronics, telecommunications and informatics

  e-Learning Courses

  • R. Downar-Zapolska
  • A. Klej

  disciplinary field: ETI / The aim of the course is to provide the necessary information related to the search for sources of funding for scientific research and development work, with particular emphasis on competitions addressed to young researchers. Procedures for writing grant applications will be presented.

• Project application workshops_InterPhDII_civil and environmental engineering

  e-Learning Courses

  • R. Downar-Zapolska
  • A. Klej

  disciplinary field: WILiŚ / The aim of the course is to provide the necessary information related to the search for sources of funding for scientific research and development work, with particular emphasis on competitions addressed to young researchers. Procedures for writing grant applications will be presented.

• Project application workshops_Inter PhDII_chemistry

  e-Learning Courses

  • R. Downar-Zapolska
  • A. Klej

  disciplinary field: chemistry / The aim of the course is to provide the necessary information related to the search for sources of funding for scientific research and development work, with particular emphasis on competitions addressed to young researchers. Procedures for writing grant applications will be presented. 

• 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