Search results for: FOOD QUALITY ASSESSMENT, QUANTITATIVE DESCRIPTIVE ANALYSIS, SENSORY ATTRIBUTES, POTENTIOMETRIC SENSOR, TONIC WATER - Bridge of Knowledge

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Search results for: FOOD QUALITY ASSESSMENT, QUANTITATIVE DESCRIPTIVE ANALYSIS, SENSORY ATTRIBUTES, POTENTIOMETRIC SENSOR, TONIC WATER

Search results for: FOOD QUALITY ASSESSMENT, QUANTITATIVE DESCRIPTIVE ANALYSIS, SENSORY ATTRIBUTES, POTENTIOMETRIC SENSOR, TONIC WATER

  • New and Fast Analytical Techniques in Food Quality Analysis

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

  • METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

    e-Learning Courses
    • P. Paradowski

    METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

  • 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

  • Methods of quantitative analysis (team project)

    e-Learning Courses
    • A. Kordalska

  • Quantitative research methods

    e-Learning Courses
    • P. Paradowski

    Quantitative research methods - dr P. Paradowski

  • Wastewater and water quality control 2023/24

    e-Learning Courses
    • I. E. Kłosowska-Chomiczewska
    • W. Hewelt-Belka
    • A. Pacyna-Kuchta

  • Wastewater and water quality control 2022/23

    e-Learning Courses
    • I. E. Kłosowska-Chomiczewska
    • W. Hewelt-Belka

  • Descriptive Statistics 2024

    e-Learning Courses
    • K. Flisikowski

    Descriptive Statistics - Data Engineering prof. Karol Flisikowski - summer semester 2023/24

  • Descriptive Statistics with R

    e-Learning Courses
    • K. Flisikowski

    Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2022/23

  • Descriptive & mathematical statistics 2019

    e-Learning Courses
    • B. Kochański

    Descriptive Statistics for Data Engineering 2019

  • Descriptive Statistics - summer 2022

    e-Learning Courses
    • K. Flisikowski

    Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2021/22

  • Water Resources Management 2022/2023

    e-Learning Courses
    • T. Kolerski
    • A. M. Mustafa

    Water Resources Management as defined for purpose of this course includes both water use and water excess management. The fundamental water resources engineering processes are the hydrologic processes and the hydraulic processes. The common threads that relate to the explanation of these processes are the fundamentals of fluid mechanics. The hydrologic processes include rainfall, evaporation, infiltration, rainfall-runoff and routing,...

  • Water Reuse_2022

    e-Learning Courses
    • K. Czerwionka
    • M. Kasprzyk

    Lectures on the subject of Water Reuse

  • Water Reuse_2023

    e-Learning Courses
    • K. Czerwionka
    • M. Kasprzyk

    Lectures on the subject of Water Reuse

  • Water Reuse_2024

    e-Learning Courses
    • K. Czerwionka
    • M. Kasprzyk
    • A. Wilińska-Lisowska

    Lectures on the subject of Water Reuse

  • WATER SUPPLY AND WASTEWATER DISPOSAL

    e-Learning Courses
    • H. Al-Hazmi

    The course on Water Supply and Wastewater Disposal provides a comprehensive understanding of the principles, practices, and technologies involved in managing water resources effectively. It covers both the supply side, focusing on the provision of clean and safe drinking water, and the disposal side, addressing the treatment and management of wastewater to minimize environmental impact. Key Topics Covered: 1. Introduction to...

  • Water Resources Management - Winter Semester 2021-2022

    e-Learning Courses
    • T. Kolerski
    • A. M. Mustafa

    Water Resources Management as defined for purpose of this course includes both water use and water excess management. The fundamental water resources engineering processes are the hydrologic processes and the hydraulic processes. The common threads that relate to the explanation of these processes are the fundamentals of fluid mechanics. The hydrologic processes include rainfall, evaporation, infiltration, rainfall-runoff and routing,...

  • Descriptive geometry

    e-Learning Courses
    • A. Wancław

  • ASSESSMENT of PERFORMANCE of UMV (2024)

    e-Learning Courses
    • M. K. Gerigk

    (W) Assessment of Performance of Unmanned Maritime Vehicles (W-Lecture) - DAPE - WIMiO AP-of-UMV (W) -DAPE - WIMiO   The course entitled "Assessment of Performance of Unmanned Maritime Vehicles (W-Lecture)" is conducted for the DAPE WIMiO Students.   The AP-of-UMV (W) course is to discuss the following problems: - major areas of application of UMV unmanned maritime vehicles, - sea environment, - types of UMV vehicles, -...

  • FORECASTING - QUANTITATIVE METHODS

    e-Learning Courses
    • P. Paradowski

  • Data Quality Assurance 2024

    e-Learning Courses
    • P. Weichbroth

    Data quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Paweł Weichbroth Wykład: odbywają się zdalnie. Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu

  • Data quality assurance - 2023

    e-Learning Courses
    • P. Weichbroth
    • A. Wardziński

    Data quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Andrzej Wardziński Wykład: od 13 marca, poniedziałki 13:15 sala NE Audytorium 2 Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu

  • Financial Analysis exercises - New

    e-Learning Courses
    • P. Figura

    To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

  • [ZiJ, EiF] Quantitative research methods

    e-Learning Courses
    • M. Gurczyńska
    • P. Paradowski

    {mlang pl} Dyscyplina: nauki o zarządzaniu i jakości, ekonomia i finanse Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  dr Piotr Paradowski Liczba godzin: 30 Forma zajęć: laboratories Kurs realizowany w zakładce WZiE: https://enauczanie.pg.edu.pl/moodle/course/view.php?id=11366  Na kurs należy zapisać się samodzielnie: https://enauczanie.pg.edu.pl/moodle/enrol/index.php?id=11366  {mlang} {mlang en} Discipline:...

  • Health effects of food components

    e-Learning Courses
    • A. Bartoszek-Pączkowska

  • Health effects of food components

    e-Learning Courses
    • A. Bartoszek-Pączkowska

  • Water Reuse

    e-Learning Courses

    w ramach tego kursu przekazywane są informacje związane z projektem prowadzonym przez Alinę Wargin.  Kierownikiem przedmiotu jest prof. Krzysztof Czerwionka.   This course provides information related to the project led by Alina Wargin. The head of the subject is prof. Krzysztof Czerwionka.

  • Financial Analysis exercises - New (copy)

    e-Learning Courses
    • K. Kubiszewska

    To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

  • Decisions Analysis 2023/2024

    e-Learning Courses
    • N. Rizun

    This is content to the subject: "Decisions Analysis" to be used as a template for futher courses.

  • Qualitative data analysis methods

    e-Learning Courses
    • M. Starnawska

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

  • [EiF, ZiJ] Quantitative research methods

    e-Learning Courses
    • P. Paradowski

    {mlang pl} Dyscyplina: EiF, ZiJ Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  P. Paradowski, LIS&PG Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF, ZiJ Obligatory course for 1st-year PhD students Academic teacher: P. Paradowski, LIS&PG Total hours of training: 30 teaching hours Course type: Laboratories {mlang}      

  • Inter Applied Chemistry Programme 5 Intorduction to hazard assessment of chemicals Marta Markiewicz

    e-Learning Courses
    • A. Głowacz-Różyńska
    • M. Tobiszewski
    • C. Jungnickel
    • P. Filipkowski

    Inter Applied Chemistry Programme 5 Intorduction to hazard assessment of chemicals Marta Markiewicz Marta Markiewicz obtained a Master’s degree in Biotechnological Engineering in 2007 from Koszalin University of Technology with the thesis focusing on recovery of native proteins from industrial waste streams using preparative ion-exchange chromatography. Subsequently she obtained a PhD in Technical Science (2012) from Gdańsk...

  • Decisions Analysis STAC 22/23

    e-Learning Courses
    • G. Musiatowicz-Podbiał

    This is content to the subject: "Decisions Analysis" 22/23

  • Data quality assurance

    e-Learning Courses

    The first lecture: 22.02.2021 at 8:15 on Teams Pierwszy wykład: 22.02.2021 o 8:15 w Teams ---------------------------------------------- Kierunek: Inżynieria danych (WETI) Studia I stopnia - inżynierskie, stacjonarne, semestr 6

  • Quality 2020 / 2021

    e-Learning Courses
    • E. Marjańska

  • ENVIRONMENTAL IMPACT ASSESSMENT - 2021-2022

    e-Learning Courses
    • A. Łuczkiewicz
    • A. Kalinowska

  • ENVIRONMENTAL IMPACT ASSESSMENT - 2023/2024

    e-Learning Courses
    • A. Łuczkiewicz

  • Data Analysis 2023/24

    e-Learning Courses
    • K. Flisikowski

    Data Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24

  • PRODUCTION AND QUALITY MANAGEMENT

    e-Learning Courses
    • E. Marjańska

  • [NCh, IMa] Health Effects of Food Components

    e-Learning Courses
    • A. Bartoszek-Pączkowska

    {mlang pl} Dyscyplina: nauki chemiczne, inżynieria materiałowa Zajęcia fakultatywne dla doktorantów I i II roku  Prowadzący:  prof. dr hab. inż. Agnieszka Bartoszek-Pączkowska Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: chemical sciences, materials engineering Facultative course for 1st and 2nd-year PhD students Academic teachers: prof. dr hab. inż. Agnieszka Bartoszek-Pączkowska Total hours...

  • Macroeconomic analysis

    e-Learning Courses
    • M. Olczyk

  • Market analysis

    e-Learning Courses
    • A. Kozłowska

    Kurs przeznaczony dla studentów studiów stacjonarnych Inżynierii Danych, I stopnia, semestr 7 (zimowy) w roku akademickim 2021/2022.

  • Financial Analysis

    e-Learning Courses
    • K. Kubiszewska

  • Decision analysis

    e-Learning Courses
    • B. Woliński

  • Psychological aspects of assessment and decision making

    e-Learning Courses
    • P. Ziemiański

  • Water Treatment 2022/2023

    e-Learning Courses
    • E. Bączkowska
    • K. Jankowska

  • WATER TREATMENT 2023/2024

    e-Learning Courses
    • E. Bączkowska
    • K. Jankowska

  • Water Resources Management 2023

    e-Learning Courses
    • T. Kolerski

  • Quality Management 2019 / 2020

    e-Learning Courses
    • P. Grudowski

    St. I stopnia, stacjonarne, Bachelor in Management, sem.5

  • Quality Management 2022/2023

    e-Learning Courses
    • P. Grudowski
    • E. Marjańska

    St. I stopnia, stacjonarne, Bachelor in Management, sem.5