48th CERN School of Computing 2026

23 Aug 2026, 15:00 → 5 Sept 2026, 11:00 Europe/London

Mathematical Sciences building 206, Proudman Lecture Theatre (Liverpool University)

Alberto Pace (CERN), Kristina Gunne (CERN), Andrzej Nowicki (CERN), David Hutchcroft (University of Liverpool (GB))

Welcome to the 48^th CERN School of Computing (CSC 2026)

The school will take place from August 23 to September 5 in Liverpool, UK. This year's school is organized in collaboration with the Liverpool University, Department of Physics and will be hosted at the Liverpool University premises.

Academic Programme

The theme of the school is Scientific Computing: Theory and Practice. The two-week programme will consist of around 50 hours of lectures and hands-on exercises, covering three main themes:

• Physics computing
• Software engineering
• Data technologies. 

Students who pass the final optional exam will receive a diploma from the CSC, as well as ECTS credits.

Other activities

However, it's not all study; the social and sport programme is also a vital part of the School. We will have ample opportunities to explore and experience some of the great cultural, historical and natural attractions of Liverpool and its surroundings, including visits to nearby Wales! Have a look at the timetable, it will give you an idea of the school (please note that this timetable is still subject for change).

The application for this school is now closed.

Important dates

• Wednesday 18 March - applications open
• Wednesday 29 April (midnight UTC+2 / CEST) - deadline for applications
• Wednesday 6 May - invitations sent to the selected participants
• Wednesday 3 June - registration fee payment deadline
• Sunday 23 August (afternoon/evening) - student arrivals in Liverpool, UK.
• Saturday 5 September  (morning) - departure

Who can apply?

The School is aimed at postgraduate (ie. minimum of Bachelor's degree or equivalent) students, engineers, and scientists with a few years of experience in particle physics, computing, or in related fields. We welcome applications from all countries and nationalities. Applicants are responsible for ensuring that their home institute or employer covers their registration fee and travel cost, or, failing this, themselves. 

We would like to thank our Local Organisers, the Department of Physics at Liverpool University.

CSC_2026_booklet_final.pdf

Photos and Video Library

Sunday 23 August

15:00 Arrival and registration

1 Self presentations

Getting to know fellow participants, and exchanging with them, is a major added value of our schools. To facilitate this, we will have a self-presentation session on the first day of the school. Each participant, lecturer and organiser will have a possibility to present him-/herself during one minute, using one single slide. You may want to use this opportunity to mention where you come from, your current work, your professional interests - but also your hobbies, things you've done and you're proud of (or not 🙂) etc. The slides will be visible only to other participants of the school, but not public.

SelfPresentationRecording.mp4

self_presentations.pdf

18:30 Dinner

Monday 24 August

2 Welcome and opening session

9:00 “Welcome and introduction” (title to be confirmed), Tim Veal, Professor, Liverpool University
9:10 “CERN and the future of particle physics Research” (title to be confirmed), Mark Thomson, Director General, CERN (20 minutes)
9:30 "Liverpool and Particle Physics in Liverpool" David Hutchcroft, Senior lecturer, Liverpool University (20 minutes)
9:50 “Information Technology and Scientific Computing at CERN”, Simone Campana, Head if the IT department, CERN (20 minutes)
10:10 “The CERN School of Computing”, Alberto Pace, Director of the CERN School of Computing, CERN (30 minutes)

Speakers: Alberto Pace (CERN), David Hutchcroft (U), David Hutchcroft (University of Liverpool (GB)), Mark Thomson (CERN), Simone Campana (CERN), Tim Veal

2026-08-24-Liverpool-Director-Slides-Opening-v15-short-2.pdf

2026-08-24-Liverpool-Director-Slides-Opening-v15-short-2.pptx

CSC Welcome opening - 2006 - Liverpool .pdf

CSC Welcome opening - 2006 - Liverpool .pptx

HutchcroftWelcomeToLiverpool.pdf

Thomson-CSC-2026-August-2026.pdf

Thomson-CSC-2026-August-2026.pptx

3 Announcements

Daily updates Monday 24 Aug.pdf

Daily updates Monday 24 Aug.pptx

self_presentations_late_arrivals.pdf

11:00 Coffee break

4 Introduction to Physics Computing L1: Hadron Collider Physics

Here we will focus on the physics of particle collisions, theoretical aspects of the standard model of particle physics, its predictive power as well as its shortcomings. Experimental aspects such as collider facilities and modern particle physics experiments as well as example physics questions and corresponding data analyses will be discussed. Furthermore, the compute models with the resulting amount of recorded data and simulated Monte Carlo events will be described.

Speaker: Arnulf Quadt (Georg August Universitaet Goettingen (DE))

CSC_Lectures-AQuadt_20260722.pdf

5 Tools and Techniques L1: Introduction

First, we discuss some of the characteristics of software projects for high energy physics, and some of the issues that arise when people want to contribute to them. We then continue with a brief introduction to software engineering from the perspective of the individual contributor, both as a formal process and how it actually affects what you do. We discuss the examples of unit testing and memory access problems.

Speaker: Prof. Bob Jacobsen (Lawrence Berkeley National Lab. (US))

BobJTandTLecture1.pdf

13:30 Lunch

6 Tools and Techniques L2: Tools for Collaboration, Software Engineering Across the Project

We continue the track with a discussion of tools for collaboration. Using examples from basic to large and advanced, we show how individual choices can affect the building of large systems.

Speaker: Prof. Bob Jacobsen (Lawrence Berkeley National Lab. (US))

BobJTandTLecture2.pdf

15:30 Change of room

7 Exercise 1: Tools and Techniques

The exercises provide some direct experience with the tools and techniques described in the Lectures. Teams of two students will work together on examples designed to show the strengths and weaknesses of various tools and approaches. Basic and advanced exercises are available so that students can work at their own level.

The very first step is find somebody to work with and sit down together. The two of you will be working together on these exercises. These have been designed to work best two people (or occasionally three), not with one!
To start the exercises, open the instructions URL (below) in your favorite web browser and follow those instructions.
Please read that index page’s instructions all the way through. We’ve put some general info at the top that you should know, and put some reference links at the bottom that you might later discover you need.

Speaker: Prof. Bob Jacobsen (Lawrence Berkeley National Lab. (US))

IndicoTandT.md

IndicoTandT.pdf

16:45 Coffee break

8 Exercise 2: Tools and Techniques

This is a continuation of the Tools and Techniques exercises

Speaker: Prof. Bob Jacobsen (Lawrence Berkeley National Lab. (US))

19:30 Welcome dinner

Tuesday 25 August

9 Introduction to Physics Computing L2: Digital Data, Simulation and Reconstruction in Modern Particle Physics Experiments

Here, a focus will be placed on specific detector sub-components and their data readout concepts as well as data reconstruction techniques, simulation techniques and analysis techniques.

Speaker: Arnulf Quadt (Georg August Universitaet Goettingen (DE))

10 Software Design L1: Parallelism in a Modern HEP Data Processing Framework

Even though the miniaturization of transistors on chips continues like predicted by Moore's law, computer hardware starts to face scaling issues, so-called performance 'walls'. Probably, the best known is the 'power wall', which limits clock frequencies. Amongst others, a way of increasing processor performance remains now to integrate many cores in the same chip. At the same time, the upcoming LHC upgrade will increase the required CPU power drastically. Both problems challenge the current way of software design in high energy physics (HEP). Developers in high energy physics are forced to re-think their ways of software design and need to move to massively parallel applications. This lecture will explain the current HEP software design, the hardware and physics issues that need to be tackled, and possible approaches to achieve the required level of parallelization.

Speakers: Andrei Gheata (CERN), Stephan Gisbert Hagebock (CERN)

CSC2026_SW_Design_ManyCore_1.pdf

11 Announcements

Daily updates Tuesday 25 Aug - v2.pdf

Daily updates Tuesday 25 Aug - v2.pptx

11:00 Coffee break

12 Tools and Techniques, Lecture 3 - Performance

We continue the track with a discussion of system performance: Scaling of computations, effect of caches and data access, benchmarking technologies.

Speaker: Sten Åstrand (Lund University)

CSC2026-Tools-and-Techniques-Lecture-3-Performance.pdf

13 Software Design L2: Base Concepts of Parallel Programming: A Pragmatic Approach

This and the following lecture will explain the concepts behind various parallelization methodologies. First, a theoretical introduction to threads, thread-safety and concurrent data access will be given. As the recent C++ standards (starting from C++11) provide build-in support for parallel programming, their most commonly used concurrency features will be shown. Finally, concrete solutions for problems specific to concurrent programming will be discussed.

Speakers: Andrei Gheata, Stephan Gisbert Hagebock

CSC2026_II_BaseConcepts.pdf

13:30 Lunch

14 Exercise 3: Tools and Techniques

The exercises provide some direct experience with the tools and techniques described in the Lectures. Teams of two students will work together on examples designed to show the strengths and weaknesses of various tools and approaches. Basic and advanced exercises are available so that students can work at their own level.

Speaker: Sten Åstrand (Lund University)

Exercises on github

15 Exercise 4: Tools and Techniques

Speaker: Sten Åstrand (Lund University)

16:30 Coffee break

16 Sports / Study

18:30 Dinner

17 Pub quiz

Wednesday 26 August

18 Data Analysis L1: Introduction

In this lecture we will explain what are the main goals of data analysis. We will introduce statistics as the powerful mathematical tool for data analysis. We will define probability and random variables as key concepts in statistics for data analysis.

Speaker: Toni Sculac

Lecture_1_CSC2026.pdf

19 Software Design L3: Understanding, Debugging and Profiling a Complex Multithreaded Application

Dealing with a parallel application is complex. We need to use procedures to rise fences to protect against mistakes, like static analysis tools allowing to find bugs in an automatic way. We also need to use tools to inspect and manipulate the behavior of programs at runtime, like the GDB debugger. Finally, profilers such as igprof can help us understand the performance bottlenecks of an application and get more insight on its efficiency. The objective of this lecture is to become familiar with these tools and be able to apply them in multithreaded programs.

Speakers: Andrei Gheata (CERN), Stephan Gisbert Hagebock (CERN)

CSC2026_SW_Design_ManyCore_3.pdf

20 Announcement

21 Photo

11:10 Coffee break

22 Data Analysis L2: Probability density functions and Monte Carlo methods

In this lecture we will discuss what probability density functions (PDFs) are, and what are their main properties. We will mention the most important PDFs and their properties both for discrete and continuous random variables. The importance of the Gaussian distribution lies in the Central Limit Theorem that will be discussed. Finally, we will discuss the concept of Monte Carlo methods and their usage in High Energy Physics and Data Analysis.

Speaker: Toni Sculac

Lecture_2_CSC2026.pdf

23 Exercise 1: Data Analysis

There will be 4 sets of exercises covering basic properties of PDFs and Monte Carlo generators, Maximum Likelihood fit, and (Advanced) Hypothesis testing. Students will be given realistic but simplified problems where key concepts from statistics need to be applied in order to provide scientific interpretation of data. Each set of exercises consists of 5 problems that will help guide the student. There are clear instructions to help you choose problems based on your pre-knowledge level. Data is provided in a simple text file and can be analysed with any programming language that offers libraries for statistical analysis (Python or C++ are recommended).

Speaker: Toni Sculac

CSC_MainSchool_Exercise_1.pdf

CSC_MainSchool_Exercise_Instructions.pdf

13:30 Lunch

24 Exercise 1: Software Design

The exercises will cover the topics of lectures 1 to 4 at a hands-on basis, based on C++11, TBB and Spark. It covers examples for the new C++11 functionality related to threads and thread safety. In addition, there will be examples for concurrent access to data, lock and lock-free data structures, and task based programming. Finally, there will be an exercise to practise the Map-Reduce pattern by using the Spark parallel data processing framework.

Speakers: Andrei Gheata, Stephan Gisbert Hagebock

exercises.pdf

ManyCoreExercises.tar.gz

25 Exercise 2: Software Design

The exercises will cover the topics of lectures 1 to 4 at a hands-on basis, based on C++11, TBB and Spark. It covers examples for the new C++11 functionality related to threads and thread safety. In addition, there will be examples for concurrent access to data, lock and lock-free data structures, and task based programming. Finally, there will be an exercise to practise the Map-Reduce pattern by using the Spark parallel data processing framework.

Speakers: Andrei Gheata, Stephan Gisbert Hagebock

16:30 Coffee break

26 Sports / Study

18:30 Dinner

Thursday 27 August

27 Lightning talks

Speaker	Title
Mai Elsawy	Probability density functions and Monte Carlo integration methods
Maria Theodora Folina	It Works on My Machine: Reproducibility Debt in HEP Software Stacks
Eduardo Rodríguez Sánchez	Lost in Japan
Osama Tahir	Intelligent Logging Pipeline for the HSF Conditions Database: Anomaly Detection at Scale
Ani Tovmasyan	Langevin Monte Carlo: A Simpler Proof, and What It Buys.

Speakers: Ani Tovmasyan, Eduardo Rodríguez Sánchez, Mai Elsawy (CBPF - Brazilian Center for Physics Research (BR)), Maria Theodora Folina (CERN & Democritus University of Thrace (GR)), Osama Tahir

CSC_Condition_Database_OsamaTahir.pdf

CSC_Reproducibility_in_HEP_Folina.pdf

Langevin Monte Carlo - A Simpler Proof and What It Buys.pdf

Lost in Japan.pdf

MaiElsawy_talk at CSC_without picture.pdf

28 Software Design L4: Patterns for Parallel Software Development

This lecture will present a set of common patterns in parallel programming. The sequential origin of these patterns will be discussed, as well as the restrictions that they impose. A particularly successful combination of patterns, Map-Reduce, will be described in detail and examples of its everyday use at large scale will be given. On the other hand, it will be shown how high-level features like C++ lambdas, the TBB library or the Spark framework can help get started with the aforementioned parallel patterns.

Speakers: Andrei Gheata (CERN), Stephan Gisbert Hagebock (CERN)

CSC2026_SW_Design_ManyCore_4.pdf

29 Announcements

11:00 Coffee break

30 Data Analysis L3: Parameter estimation

In this lecture we will introduce the concept of test statistics and estimators. We will explain what are the key properties of a good estimator and how to obtain it using the Maximum Likelihood and Least Squares methods.

Speaker: Toni Sculac

Lecture_3_CSC2026.pdf

12:30 Lunch

31 Afternoon Scavenger hunt!

18:30 Dinner

Friday 28 August

32 Data Analysis L4: Confidence intervals

In this lecture we will define confidence intervals and make a strong statement on their statistical interpretation when discussing scientific results. We will discuss Neiman confidence belt and Bayesian confidence intervals. Finally, we will learn how to derive confidence intervals for the Maximum likelihood and Least Squares methods.

Speaker: Toni Sculac

Lecture_4_CSC2026.pdf

33 Data Analysis L5 - Hypothesis testing and p-value

We will learn about the hypothesis testing procedure and all of its key concepts. We will discuss how to choose a critical region and learn about errors of first and second kind. We will learn the importance of a blinded analysis and understand all the needed steps before looking at the data. Finally, we will discuss when can we announce a discovery in science and the concept of a p-value.

Speaker: Toni Sculac

Lecture_5_CSC2026.pdf

34 Announcements

11:00 Coffee break

35 Exercise 2: Data Analysis

There will be 4 sets of exercises covering basic properties of PDFs and Monte Carlo generators, Maximum Likelihood fit, and (Advanced) Hypothesis testing. Students will be given realistic but simplified problems where key concepts from statistics need to be applied in order to provide scientific interpretation of data. Each set of exercises consists of 5 problems that will help guide the student. There are clear instructions to help you choose problems based on your pre-knowledge level. Data is provided in a simple text file and can be analysed with any programming language that offers libraries for statistical analysis (Python or C++ are recommended).

Speaker: Toni Sculac

CSC_MainSchool_Exercise.pdf

decay.txt

36 Exercise 3: Data Analysis

There will be 4 sets of exercises covering basic properties of PDFs and Monte Carlo generators, Maximum Likelihood fit, and (Advanced) Hypothesis testing. Students will be given realistic but simplified problems where key concepts from statistics need to be applied in order to provide scientific interpretation of data. Each set of exercises consists of 5 problems that will help guide the student. There are clear instructions to help you choose problems based on your pre-knowledge level. Data is provided in a simple text file and can be analysed with any programming language that offers libraries for statistical analysis (Python or C++ are recommended).

Speaker: Toni Sculac (University of Split Faculty of Science (HR))

CSC_MainSchool_Exercise_3.pdf

Exercise_3_Solutions_1.ipynb

LHC_data_2021.txt

13:30 Lunch

37 Exercise 3: Software Design

This is a continuation of the Software Design exercises.

Speakers: Andrei Gheata (CERN), Stephan Gisbert Hagebock (CERN)

38 Exercise 4: Software Design

This is a continuation of the Software Design exercises.

Speakers: Andrei Gheata (CERN), Stephan Gisbert Hagebock (CERN)

16:30 Coffee break

39 Sports/Study

18:30 Dinner

Saturday 29 August

40 Exercise 4: Data Analysis

There will be 4 sets of exercises covering basic properties of PDFs and Monte Carlo generators, Maximum Likelihood fit, and (Advanced) Hypothesis testing. Students will be given realistic but simplified problems where key concepts from statistics need to be applied in order to provide scientific interpretation of data. Each set of exercises consists of 5 problems that will help guide the student. There are clear instructions to help you choose problems based on your pre-knowledge level. Data is provided in a simple text file and can be analysed with any programming language that offers libraries for statistical analysis (Python or C++ are recommended).

Speaker: Toni Sculac (University of Split Faculty of Science (HR))

CSC_MainSchool_Exercise_4.pdf

Exercise_4_Solutions_1.ipynb

LHC_data_2023.txt

41 Exercise 5: Data Analysis

Speaker: Toni Sculac

11:00 Coffee break

42 Announcements

Daily updates Saturday 29 Aug.pdf

Daily updates Saturday 29 Aug.pptx

43 Data Management L1: Setting the scene: Storage technologies, Storage reliability

The lecture presents the various Storage Models, and the supporting management techniques.

The lecture will then go in details on techniques to deliver arbitrary reliability and performance and discuss the solutions for long data preservation and trading between reliability, performances and costs.

Speaker: Alberto Pace

2026-08-24-CSC-Alberto-Pace-Data-Technologies.v70.pdf

Excercise-RaidLib.zip

12:45 Lunch

44 Free time

18:30 Dinner (or continued free time for those who wants)

Sunday 30 August

07:00 Breakfast + Lunch Pack pick-up

45 Sunday Excursion to Wales and Conwy Castle

Full day excursion to the coast in Wales with a visit to Conwy Castle in the afternoon.

18:00 Dylan's Llandudno

Monday 31 August

07:30 Breakfast packages at the reception!

46 Data Management L2: Cryptography, authentication, authorization and accounting 1

This lectures give elements of computer security that are relevant to data management. The lectures address the various cryptographic technologies used in data storage systems to ensure data encryption, integrity, confidentiality and access control. The Public Key infrastructure standard will be described as an example.

Speaker: Alberto Pace (CERN)

47 Data Management L3: Cryptography, authentication, authorization and accounting 2

This lecture will continue the discussion on various authentication technologies and then move to authorization. Accounting will also be addressed.

Speaker: Alberto Pace (CERN)

48 Announcements

11:00 Coffee break

49 Introduction to Machine Learning L1

Speaker: Judith Katzy (Deutsches Elektronen-Synchrotron (DE))

Course1_foundations_final.pdf

50 Introduction to Machine Learning L2

Speaker: Judith Katzy (Deutsches Elektronen-Synchrotron (DE))

Course2_Classical_Supervised.pdf

13:45 Lunch

51 Exercise 1: Data Technologies

The first part of hands-on exercises aims to improve understanding of basic parameters in IO systems:
• network and media latency
• access patterns
• OS caching
• bottlenecks and optimization strategies for local and remote data access.
Few essential Linux tools will be introduced to monitor and measure IO performance avoiding bias introduced by OS caching. Students will experience and measure the impact of latency and access patterns on IO performance.
The second part covers the concept of parallelism and redundancy in storage system. We will apply the technology of Cloud storage systems to store and retrieve files in our local desktop cluster using a distributed hash table to locate files or file fragments and a REST interface to do GET, PUT or DELETE operations on these.
The exercises conclude with the implementation and performance tuning of a RAID verification algorithm.

Speaker: Andreas Joachim Peters (CERN)

CSC 2026 Data Technologies Offline Exercises

CSC 2026 Exercises Introduction Part 1.pdf

CSC 2026 Exercises Take Home.pdf

52 Exercise 2: Data Technologies

The first part of hands-on exercises aims to improve understanding of basic parameters in IO systems:
• network and media latency
• access patterns
• OS caching
• bottlenecks and optimization strategies for local and remote data access.
Few essential Linux tools will be introduced to monitor and measure IO performance avoiding bias introduced by OS caching. Students will experience and measure the impact of latency and access patterns on IO performance.
The second part covers the concept of parallelism and redundancy in storage system. We will apply the technology of Cloud storage systems to store and retrieve files in our local desktop cluster using a distributed hash table to locate files or file fragments and a REST interface to do GET, PUT or DELETE operations on these.
The exercises conclude with the implementation and performance tuning of a RAID verification algorithm.

Speaker: Andreas Joachim Peters (CERN)

16:45 Coffee break

53 Study or sports time

19:00 Dinner in Flanagan's Apple

Tuesday 1 September

54 Software Security L1: Introduction

The first lecture starts with a definition of computer security and an explanation of why it is so difficult to achieve. The lecture highlights the importance of proper threat modelling and risk assessment. It then presents three complementary methods of mitigating threats: protection, detection, reaction; and tries to prove that security through obscurity is not a good choice.

Speaker: Sebastian Lopienski (CERN)

CSC2026-Application security.pdf

55 Data Management L4: Distributed Hash Tables, Data Replication, Caching, Monitoring, Alarms and Quota 1

This lecture describes the various possible technologies used to implement distributed hash tables, data workflows and complex data transfer processes. It also discusses problems with data caching and Garbage Collection to conclude on monitoring and quota enforcement.

Speaker: Alberto Pace (CERN)

56 Announcements

Daily updates Tuesday 1st of September.pptx

11:00 Coffee break

57 Software Security L2: Security in different phases of software development

The second lecture addresses the following question: how to create secure software? It introduces the main security principles (like least privilege, or defense in depth) and discusses security in different phases of the software development cycle. The emphasis is put on the implementation part: most common pitfalls and security bugs are listed, followed by advice on best practice for security development.

Speaker: Sebastian Lopienski

58 Exercise 1: Machine Learning

Speakers: Judith Katzy (Deutsches Elektronen-Synchrotron (DE)), Peter Steinbach (Technische Universitaet Dresden (DE)), Peter Steinbach

github repo

13:30 Lunch

59 Exercise 2: Machine Learning

Speakers: Judith Katzy (Deutsches Elektronen-Synchrotron (DE)), Peter Steinbach (Technische Universitaet Dresden (DE)), Peter Steinbach

60 Exercise 1: Software Security

In the practice session, a range of typical security vulnerabilities will be presented. The goal is to learn how they can be exploited (for privilege escalation, data confidentiality compromise etc.), how to correct them, and how to avoid them in the first place! Students will be given small pieces of source code in different programming languages, and will be asked to find vulnerabilities and fix them. The online course documentation will gradually reveal more and more information to help students in this task. Additionally, students will have a chance to try several source code analysis tools, and see how such tools can help them find functionality bugs and security vulnerabilities.

Speaker: Sebastian Lopienski (CERN)

CSC2026-Application security exercises.pdf

CSC2026-Application security exercises.pptx

16:30 Coffee break

61 Study or sports time

18:30 Dinner

Wednesday 2 September

62 Introduction to Machine Learning L3

Speaker: Judith Katzy (Deutsches Elektronen-Synchrotron (DE))

Course3_Neural_Networks.pdf

63 Announcements

64 Exercise 3: Machine Learning

Speakers: Judith Katzy (Deutsches Elektronen-Synchrotron (DE)), Peter Steinbach (Technische Universitaet Dresden (DE)), Peter Steinbach

11:00 Coffee break

65 Exercise 3: Data Technologies

This is a continuation of the Data Technologies exercises.

Speaker: Andreas Joachim Peters (CERN)

66 Exercise 4: Data Technologies

This is a continuation of the Data Technologies exercises.

Speaker: Andreas Joachim Peters (CERN)

CSC 2026 Exercises Take Home.pdf

13:30 Lunch

67 Introduction to Machine Learning L4

Speaker: Judith Katzy (Deutsches Elektronen-Synchrotron (DE))

Course4_CNN.pdf

15:30 Coffee break

68 Exercise 4: Machine Learning

Speakers: Judith Katzy (Deutsches Elektronen-Synchrotron (DE)), Peter Steinbach (Technische Universitaet Dresden (DE)), Peter Steinbach

69 Study or sports time

18:30 Dinner

Thursday 3 September

70 Breakfast at Betrie & Bella's

71 Data Management L5: Distributed Hash Tables, Data Replication, Caching, Monitoring, Alarms and Quota 2

This lecture concludes the description of the various possible technologies used to implement distributed hash tables, data workflows and complex data transfer processes. It also discusses problems with data caching and Garbage Collection to conclude on monitoring and quota enforcement.

Speaker: Alberto Pace (CERN)

72 Announcements

11:00 Coffee break

73 Exercise 2: Software Security

In the practice session, a range of typical security vulnerabilities will be presented. The goal is to learn how they can be exploited (for privilege escalation, data confidentiality compromise etc.), how to correct them, and how to avoid them in the first place! Students will be given small pieces of source code in different programming languages, and will be asked to find vulnerabilities and fix them. The online course documentation will gradually reveal more and more information to help students in this task. Additionally, students will have a chance to try several source code analysis tools, and see how such tools can help them find functionality bugs and security vulnerabilities.

Speaker: Sebastian Lopienski (CERN)

74 Exercise 3: Software Security - Sebastian Lopienski

• In the practice session, a range of typical security vulnerabilities will be presented. The goal is to learn how they can be exploited (for privilege escalation, data confidentiality compromise etc.), how to correct them, and how to avoid them in the first place! Students will be given small pieces of source code in different programming languages, and will be asked to find vulnerabilities and fix them. The online course documentation will gradually reveal more and more information to help students in this task. Additionally, students will have a chance to try several source code analysis tools, and see how such tools can help them find functionality bugs and security vulnerabilities.

Speaker: Sebastian Lopienski (CERN)

13:30 Lunch

75 Introduction Machine Learning L5

Speakers: Judith Katzy (Deutsches Elektronen-Synchrotron (DE)), Judith Katzy (DESY, HAMBURG)

Course5_Beyond_Supervised.pdf

76 Software Security L3: Web application security, exercise debriefing

• This third hour consists of a debriefing of the exercises, and in particular those web-related. Various vulnerabilities typical to web applications (such as Cross-site scripting, SQL injection, cross-site request forgery etc.) are introduced and discussed.

Speaker: Sebastian Lopienski (CERN)

CSC2026-Web security - debriefing.pdf

CSC2026-Web security - debriefing.pptx

16:30 Coffee break

77 Study or sports time

18:30 Dinner

Friday 4 September

78 Daily announcements

79 Exam

10:30 Coffee break

80 Transport to stadium

81 Traditional football match

12:30 Shower, transport back

13:30 Lunch

82 Graduation ceremony

16:00 Free time

19:30 Closing Dinner/Party

Saturday 5 September

83 Breakfast and check out