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Search results for: DATA DRIVEN METHODS
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[NF] Physical Research Methods III: Scattering Theory
e-Learning Courses{mlang pl} Dyscyplina: NF Zajęcia obowiązkowe dla doktorantów II i III roku Prowadzący: Prof. Simone Taioli Liczba godzin: 15 Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: NF Obligatory course for 2-nd and 3-rd year PhD students Academic teacher: Prof. Simone Taioli Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}
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[EiF, ZiJ] Qualitative research methods 2023-24
e-Learning Courses{mlang pl} Dyscyplina: EiF, ZiJ Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: K. Zięba Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF, ZiJ Obligatory course for 1st-year PhD students Academic teacher: K. Zięba Total hours of training: 30 teaching hours Course type: Laboratories {mlang}
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WETI (Data Engineering) - Mathematics 2023/24 (E.Kozłowska-Walania)
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[Soft Skills] Didactic methods in the modern teaching process
e-Learning Courses{mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów II roku ProwadzącA: mgr Olga Ludyga Liczba godzin: 15 Forma zajęć: warsztaty {mlang} {mlang en} Discipline: all disciplines Obligatory course for 1st-year PhD students Academic teacher: mgr Olga Ludyga Total hours of training: 15 teaching hours Course type: workshop {mlang} Soft skills, area II - didactic skills
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[IMa] Electrical methods of materials and structures characterization 2024
e-Learning Courses{mlang pl} Dyscyplina: inżynieria materiałowa Zajęcia fakultatywne dla doktorantów I i II roku Prowadzący: prof. dr hab. inż. Piotr Jasiński Liczba godzin: 15 Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: materials engineering Facultative course for 1st and 2nd year PhD students Academic teachers: prof. dr hab. inż. Piotr Jasiński Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}
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DATA MINING (Field of study: Economic analytics 1st semester) -2022
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[Soft Skills] 2022 Didactic methods in the modern teaching process
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WETI - Data Engineering gr.2 - Math 2019/20 (A.Brękiewicz-Sieg)
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[Soft Skills] 2 YEAR Didactic methods in the modern teaching process
e-Learning Courses{mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów 2 roku Prowadząca: dr hab. Joanna Mytnik, prof. uczelni Liczba godzin: 15 Forma zajęć: warsztaty {mlang} {mlang en} Discipline: all disciplines Obligatory course for 2nd-year PhD students Academic teacher: Joanna Mytnik, Ph.D., ass. prof. Total hours of training: 15 teaching hours Course type: workshop {mlang} Soft skills, area I - didactic...
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Benjamin Sempek, WETI+WZIE, Data Engineering, st I, sem2, 22/23l
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Methods of Experiment Design, W, E, sem.01, letni 22/23 (PG_00057505)
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Methods of Experiment Design, W, E, sem.01, letni 21/22 (PG_00057505)
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Methods of Experiment Design, S, E, sem.01, letni 21/22 (PG_00057505)
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Methods of Experiment Design, S, E, sem.01, letni 22/23 (PG_00057505)
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Methods of Experiment Design, W/S, Energetyka, sem. 1, letni, 2023/24
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Passive Methods in Heat Transport, W/P, DPE, sem.5, zimowy 22/23
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W. Zbirohowski-Kościa WZiE i WETI, Data Eng, I st, sem 2, 21/22l
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Witold Zbirohowski-Kościa, ZiE i ETI, Data Engineering, I st, sem 5, 21/22z
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Małgorzata Piechocińska WETI+WZiE Inż. Danych/Data Engineering I st. 2 sem. 22/23 l
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Passive methods in heat transport, W/P, DPE, sem.05, zima 21/22, (M:320404W0)
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Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 2 - Inżynieria Danych / Data Engineering - sem. 7 - 2024/2025
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Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 1 - Inżynieria Danych / Data Engineering - sem. 6 - 2023/2024
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Passive Methods in Heat Transport, W/P, DaPE, sem.5, zimowy 22/23, (PMiHT, W/P, zima 22/23)
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Descriptive & mathematical statistics 2019
e-Learning CoursesDescriptive Statistics for Data Engineering 2019
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Lean Manufacturing, W, Mechatronika, IDE, sem. 03, letni 23/24 (PG_00062997)
e-Learning CoursesDevelopment of Production Systems and Lean Management. Strategies in Process Optimisation. Analytical Methods. Lean Principles and Lean Methods. Change Management. Roll-out Strategies for Lean Manufacturing. Total productive Management.
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Lean Manufacturing, W, Energetyka, sem. 03, letni 23/24 (PG_00062998)
e-Learning CoursesDevelopment of Production Systems and Lean Management. Strategies in Process Optimisation. Analytical Methods. Lean Principles and Lean Methods. Change Management. Roll-out Strategies for Lean Manufacturing. Total productive Management.
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Effective Project Management, DaPE, sem 1 sem 3, 2022/2023 - Nowy
e-Learning CoursesThe aim of the course is to familiarize students with modern methods of effective project management, to present principles, methods and tools supporting decision-making and control processes with particular emphasis on individualized approach to the specifics of the project and its surroundings.
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Materials science. Quantum particle approach. 2022.
e-Learning Coursesquantum methods for materials and molecular modeling.
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Material Science Quantum Particle Approach 2021
e-Learning Coursesquantum methods for materials and molecular modeling.
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Applications of Geographic Information Systems
e-Learning CoursesFirst degree studies Data Engineering
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Introduction to Numerical Simulation
e-Learning CoursesCourse description: This interdisciplinary course provides an introduction to computational techniques for the simulation of a broad range of engineering and physical systems. Concepts and methods discussed are widely illustrated by applications drawn from electrical, mechanical, and chemical engineering. Topics include: mathematical formulations of simulation problems; sparse direct and iterative linear system solution techniques,...
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Process Diagnostics - summer semester 2023/2024
e-Learning CoursesFamiliarization with modern methods of industrial process diagnostics
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Advanced Nonrelational Databases DE 2022/2023
e-Learning CoursesThe course is addressed to bachelor-students in the field of data engineering in the fifth semester.
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Advanced Nonrelational Databases DE 2023/2024
e-Learning CoursesThe course is addressed to bachelor-students in the field of data engineering in the fifth semester.
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Computational Intelligence - 2023
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
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Computational Intelligence 2022
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
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Computational Intelligence - sem. 2022/23
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
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Computational Intelligence - 2023/2024 sem.
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
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Computational Intelligence - sem. 2023/2024
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
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Economics and Organisation of Enterprises - winter term 22/23
e-Learning CoursesThis course is intended for students of the first semester of Data Engineering (inter-faculty program in English)
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Economics and Organisation of Enterprises - winter term 24/25
e-Learning CoursesThis course is intended for students in the first semester of Data Engineering (inter-faculty program in English).
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Economics and Organisation of Enterprises - winter term 23/24
e-Learning CoursesThis course is intended for students of the first semester of Data Engineering (inter-faculty program in English)
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Software Engineering 2022/2023
e-Learning CoursesCourse for Data Engineering, semester 3 Access credentials will be provided during the first lab class.
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Software Engineering 2024/2025
e-Learning CoursesCourse for Data Engineering, semester 3 Access credentials will be provided during the first lab class.
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Software Engineering 2023/2024
e-Learning CoursesCourse for Data Engineering, semester 3 Access credentials will be provided during the first lab class.
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Mechanics I, W/C, MiBM, sem. 02, lato 22/23 (PG_00050273)
e-Learning CoursesThe course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.
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Mechanics II, W/C, MiBM, sem. 03, zima 22/23 (PG_00055119)
e-Learning CoursesThe course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.
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Mechanics II, W/C, ZiIP, sem. 03, zima 23/24 (PG_00055119)
e-Learning CoursesThe course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.
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Mechanics I, W/C, ZiIP, sem. 02, lato 23/24 (PG_00050273)
e-Learning CoursesThe course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.
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Construction Management, WILIS, Civil Engineering, sem. I, 2022/2023
e-Learning CoursesTechniques and methods of organization and planning in construction projects - review. Analysis of construction schedule. Ms Project as a construction planning tool.