Search results for: CASE-STUDY ANALYSIS

• Data analysis - team project 2024

  e-Learning Courses

  • O. Aydin

• Business Analysis Winter 2024/25

  e-Learning Courses

  • M. McPhillips

• Selected aspects of modern X-ray structural analysis 2025 kopia 1

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis. The aim of the lecture is to provide the PhD students, studying at natural sciences departments, an overview of contemporary X-ray structural analysis. The presented subject is exploited in many distant areas of modern technologies, materials science, crystal engineering, organic or inorganic synthesis of new chemicals, drug design, molecular biology, etc. It becomes necessary...

• Foundations of Capital Markets Analysis 2022

  e-Learning Courses

  • M. Gnyba

• E-marketing and trend analysis - 2023

  e-Learning Courses

  • M. Brzozowska-Woś

• Business Process Analysis and Optimization 2022

  e-Learning Courses

  • M. Grzesiak

• Business Process Analysis and Optimization 2023

  e-Learning Courses

  • M. Grzesiak

• Methods of quantitative analysis (team project)

  e-Learning Courses

  • A. Kordalska

• E-marketing and trend analysis - 2022

  e-Learning Courses

  • M. Brzozowska-Woś

• Business Process Analysis and Optimization 2024

  e-Learning Courses

  • M. Grzesiak

• Qualitative Data Analysis Methods -Summer 2022

  e-Learning Courses

  • M. McPhillips

• [ITiT] Technologies of Spatial Data Analysis and Processing

  e-Learning Courses

  • M. Kulawiak
  • E. Lubecka

  {mlang pl} Dyscyplina:  Informatyka Techniczna i Telekomunikacja Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  dr hab. inż. Marcin Kulawiak Liczba godzin: 30 h Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: Technical Informatics and Telecommunications Obligatory course for 2nd year PhD students Academic teacher:  dr hab. inż. Marcin Kulawiak Total hours of training: 30 teaching hours Course...

• Scientific methods of computer data analysis and presentation

  e-Learning Courses

  • T. E. Berezowski

• Szkolenie z regulaminu studiów oraz praw i obowiązków studenta/Training on study regulations, student’s rights and obligations 2024/2025

  e-Learning Courses

  • J. Idzik
  • P. Chobot
  • D. Stolc

  Witajcie na kursie Szkolenie z regulaminu studiów oraz praw i obowiązków studenta W celu zapisania się na kurs należy użyć hasła dla odpowiedniego wydziału: wydział Architektury: ARCH wydział Chemiczny: CHEM wydział Elektroniki Telekomunikacji i Informatyki: ETI wydział Elektrotechniki i Automatyki: EiA wydział Fizyki Technicznej i Matematyki Stosowanej: FTiMS wydział Inżynierii Lądowej i Środowiska: ILiŚ wydział Inżynierii...

• Qualitative Data Analysis Methods -Summer 22/23

  e-Learning Courses

  • M. McPhillips

• Volatility modelling and market risk analysis 2024/2025

  e-Learning Courses

  • B. Kochański

• Deep neural networks for data analysis 24/25

  e-Learning Courses

  • J. Cychnerski
  • K. Draszawka

  This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

• Deep neural networks for data analysis 27/28

  e-Learning Courses

  • K. Draszawka

• Deep neural networks for data analysis 25/26

  e-Learning Courses

  • K. Draszawka

• Deep neural networks for data analysis 26/27

  e-Learning Courses

  • K. Draszawka

• New and Fast Analytical Techniques in Food Quality Analysis

  e-Learning Courses

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

• 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

• Szkolenie z regulaminu studiów oraz praw i obowiązków studenta/Training concerning study regulations, student rights and responsibilities 2022/2023

  e-Learning Courses

  • D. Nagórska
  • A. Paluch

• Szkolenie z regulaminu studiów oraz praw i obowiązków studenta/Training concerning study regulations, student rights and responsibilities 2023/2024

  e-Learning Courses

• 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}      

• [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation 2024/2025

  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}      

• Szkolenie z regulaminu studiów oraz praw i obowiązków studenta/Training concerning study regulations, student rights and responsibilities 2021/2022 - SEMESTR LETNI/

  e-Learning Courses

  • N. Dynderz
  • W. Dudek
  • D. Nagórska

  Kurs z obowiązkowego szkolenia z regulaminu studiów, przeznaczony dla studentów 1 semestru roku akademickiego 2021/2022 semestru letniego. 

• 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

• 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.

• Art Workshop I

  e-Learning Courses

  • E. Urwanowicz

  The subject of drawing exercises in the semester is a study of a still life and a study of figures made in black and white on the basis of observation of the arrangement of forms in space. In these exercises, particular emphasis is placed on the issues of composition and light.

• Nuclear energy (WChem)

  e-Learning Courses

  • M. Jaskólski

  The course is created for the Green Technologies field of study

• World Politics

  e-Learning Courses

  • L. Segreto

  The course aims to familiarize stdnets with the most important theories of the international relations. This instrument will enable them to understand a series of case studies that will be presented starting with the first wordl war and going until today. The case studies will include the main aspects of the Cold War period, the role of USA and Soviet Union in shaping the international relations according to a political and ideological...

• Ogrzewnictwo 2023/2024 IŚ studia stacjonarne sem. VI lato

  e-Learning Courses

  • A. Ostojski

  Heating students of Environmental Engineering full-time engineer. sem. 6 Heating 2023/2024 supporting course for the subject Heating (PG_00043392) intended for students: Field of study: Environmental Engineering Level of education: 1st degree - engineering Academic year of course implementation: 2023/2024 Form of studies: full-time Year of study: 3 Semester: 6 (summer)

• Technical Physics 2024/25

  e-Learning Courses

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

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

• Naprowadzaniei pozycjonowanie obiektów oceanotechnicznych

  e-Learning Courses

  • M. Reichel

  wykonanie DP capability analysis

• 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.

• 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.

• Operational Research - Queuing Systems 2022

  e-Learning Courses

  • J. Konorski

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