Warsaw University
of Technology

Faculty of Electronics
and Information Technology

Students

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The Faculty Library

Visit us at the Faculty Library!

The Library is located in Room 40 (ground floor).


27.09 - 01.10.2024 The Library open from 9 AM to 3 PM
The Faculty Library opening hours:
Monday - Friday
9:00 am – 6:00 pm

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THE CENTRAL CATALOGUE OF WUT LIBRARIES»

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EMPLOYEES
Library Director-Custodian Olga Bogatek, M.A.	tel. 22 234 7625 e-mail olga.bogatek@pw.edu.pl
Senior Librarian Anna Gątarek, M.A.	tel. 22 234 7625 e-mail anna.gatarek@pw.edu.pl
Librarian Małgorzata Rymut	tel. 22 234 7625 e-mail malgorzata.rymut@pw.edu.pl
Senior Librarian Kamila Szlaga, M.A.	tel. 22 234 7625 e-mail kamila.szlaga@pw.edu.pl
Senior Librarian Anna Zaręba, M.A.	tel. 22 234 7625 e-mail anna.zareba@pw.edu.pl

RULES AND REGULATIONS

Regulations of the Library and Information System of WUT (pdf, 371.17 kB)

Contact us

tel. (+48 22) 234-76-25
tel. (+48 22) 234-58-32
e-mail bwepw.elka@pw.edu.pl

ul. Nowowiejska 15/19, room 40
00-665 Warszawa

New books in the Library

	Lat J.A. Building and automating penetration testing labs in the cloud. Set up cost-effective hacking environments for learning cloud security on AWS, Azure, and GCP Packt Publishing, 2023 Description: Building and Automating Penetration Testing Labs in the Cloud. Set up cost-effective hacking environments for learning cloud security on AWS, Azure,... (msword, 27.50 kB)
	Baker R.L. Deep dive. Exploring the real-world value of open source intelligence Wiley, 2023 Description: Deep Dive. Exploring the Real-World Value of Open Source Intelligence (msword, 28.50 kB)
	Tang Y. Distributed machine learning patterns Manning, 2024 Description: Distributed Machine Learning Patterns (msword, 28.50 kB)
	Jay R. Enterprise AI in the cloud. A practical guide to deploying end-to-end machine learning and ChatGPT solutions Wiley, 2024 Description: Enterprise AI in the Cloud. A Practical Guide to Deploying End-To-End Machine Learning and ChatGPT Solutions (msword, 30.50 kB)
	Masís S. Interpretable machine learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples. Second edition Packt Publishing, 2023 Description: Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples. Second E... (msword, 27.50 kB)
	Simon P. Low-code/no-Code. Citizen developers and the surprising future of business applications Racket Publishing, 2022 Description: Low-Code/No-Code. Citizen Developers and the Surprising Future of Business Applications (msword, 27.50 kB)
	Husbands P. Malware science. A comprehensive guide to detection, analysis, and compliance PWN, 2023 Description: Malware Science. A comprehensive guide to detection, analysis, and compliance (msword, 27.50 kB)
	Kelley D., Moyle E. Practical cybersecurity architecture. A guide to creating and implementing robust designs for cybersecurity architects. Second edition Packt Publishing, 2023 Description: Practical Cybersecurity Architecture. A guide to creating and implementing robust designs for cybersecurity architects. Second Edition (msword, 28.50 kB)
	Ortega J.M. Python for security and networking. Leverage Python modules and tools in securing your network and applications. Third edition Packt Publishing, 2023 Description: Python for Security and Networking. Leverage Python modules and tools in securing your network and applications. Third Edition (msword, 28.50 kB)
	Olesen-Bagneux O. The enterprise data catalog. Improve data discovery, ensure data governance, and enable innovation O'Reilly Media, 2023 Description: The Enterprise Data Catalog. Improve Data Discovery, Ensure Data Governance, and Enable Innovation (msword, 28.00 kB)
	Fagbemi D.D., Wheeler D., Wheeler JC. The IoT architect's guide to attainable security and privacy Auerbach Publications, 2023 Description: The IoT Architect's Guide to Attainable Security and Privacy (msword, 30.50 kB)