Summer student event: From Raw Data to Physics Results - 1/3

Time: 9:15 AM Location: Zoom: https://cern.zoom.us/j/69268420883?pwd=S2JORlpiKzIrcTJTK05qTUhGd0Vldz09 Location in CERN maps:

by Paul James Laycock (Brookhaven National Laboratory (US))

Summer student event: From Raw Data to Physics Results - 2/3

Time: 10:25 AM Location: Zoom: https://cern.zoom.us/j/69268420883?pwd=S2JORlpiKzIrcTJTK05qTUhGd0Vldz09 Location in CERN maps:

by Paul James Laycock (Brookhaven National Laboratory (US))

Summer student event: From Raw Data to Physics Results - 3/3

Time: 11:35 AM Location: Zoom: https://cern.zoom.us/j/69268420883?pwd=S2JORlpiKzIrcTJTK05qTUhGd0Vldz09 Location in CERN maps:

by Paul James Laycock (Brookhaven National Laboratory (US))

Summer student event: Welcome to the CERN openlab lecture programme! What is CERN openlab?

Time: 2:00 PM Location: 31/3-004 - IT Amphitheatre (CERN) Location in CERN maps:

By Alberto Di Meglio. The session will start by a welcome by Enrica Porcari, Head of CERN IT Department.

Summer student event: Tackling computer challenges at CERN in 2022

Time: 2:30 PM Location: 31/3-004 - IT Amphitheatre (CERN) Location in CERN maps:

by Maria Girone (CERN)

Summer student event: DAQ-filtering data from 50 TB/s to 1GB/s

Time: 1:30 PM Location: 31/3-004 - IT Amphitheatre (CERN) Location in CERN maps:

by Flavio Pisani (CERN)

Summer student event: Computer security in 2022

Time: 1:30 PM Location: 31/3-004 - IT Amphitheatre (CERN) Location in CERN maps:

Abstract: This presentation shall take a look at the common pitfalls when developing software or deploying computing services to the world. Attackers are on the prowl finding the usual misconfigurations, errors or blunders in such software and hardware and try to exploit them for their evil deeds. Attacks against CERN are not an exception. Hence, students can do better ! Learning from past incidents: A Plea for Better Computer Security!

Bio: Stefan Lüders, PhD, graduated from the Swiss Federal Institute of Technology in Zurich and joined the European Organization for Particle Physics (CERN) in 2002. Since 2009, he is heading the CERN Computer Security Incident Response Team as CERN’s Computer Security Officer with the mandate to coordinate all aspects of CERN’s computer security – office computing security, computer centre security, GRID computing security and control system security – whilst taking into account CERN’s operational needs. Dr. Lüders has presented on computer security and control system cyber-security topics at many different occasions to international bodies, governments, and companies, and published several articles.

: Introduction to Machine Learning

Time: 1:30 PM Location: 31/3-004 - IT Amphitheatre (CERN) Location in CERN maps:

By Jean-Roch Vlimant (California Institute of Technology (US)).

Lecture Content

Recent advancements in machine learning made it a major tool in big data analytics. We daily face applications of deep learning in image, speech and video recognitions, pledging for the efficiency of these methods in learning various complex tasks from data itself. With much care, advanced machine learning techniques are growingly used in Science, yielding better results than otherwise possible to Physicists. In this lecture, we will introduce the basics of machine learning and illustrate collider-specific aspects of deep learning by reviewing state-of-the-art applications of machine learning in high energy physics.

Lecturer Bio

Vlimant is a research scientist in the Physics Mathematic and Astronomy department at the California Institute of Technology. Vlimant holds a Master in Quantum Mechanics from Ecole Normal Superieure of Paris and a Ph.D in particle physics from the Pierre et Marie Curie University. Vlimant is taking leading roles in the High Energy Physics community effort of developing deep learning and quantum computing applications for particle physics, actively involved with activities at CERN, the Compact Muon Solenoid collaboration and high performance computing facilities worldwide. Vlimant is the co-coordinator of the machine learning group in CMS. Vlimant is specialty section chief editor of “Big data and AI in High Energy Physics” in the frontiers in big data journal.

Summer student event: Best practice: the theoretical and practical underpinnings of writing code that is less bad

Time: 1:30 PM Location: 31/3-004 - IT Amphitheatre (CERN) Location in CERN maps:

By Axel Naumann (CERN)