CERN School of Computing 2023

20 Aug 2023, 15:00 → 2 Sept 2023, 11:00 Europe/Zurich

Delta Centre - University of Tartu

Alberto Pace (CERN), Kristina Gunne (CERN), Jarek Polok (CERN), Veronika Zadin (University of Tartu (EE)), Tauno Tiirats (University of Tartu), Margit Meiesaar, Andrzej Nowicki (CERN)

Welcome to the 44th CERN School of Computing (CSC 2023)! The school will take place from 20 August until 2 September in the beautiful city of Tartu, Estonia.

This year’s School is organized in collaboration with University of Tartu

Academic Programme

The two-week programme consists of more than 50 hours of lectures and hands-on exercises, covering three main themes: physics computing, software engineering, and data technologies. Students who pass the final optional exam will receive a diploma from CSC, as well as ECTS credits from University of Tartu.

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 Tartu and its region.

The application for this event is closed.

 

Important dates

• Tuesday 21 March - applications open
• Tuesday 25 April (midnight UTC+2 / CEST) - deadline for applications
• Friday 12 May - invitations sent to the selected participants
• Friday 9 June- registration fee payment deadline
• Sunday 20 August (afternoon/evening) - student arrivals at Dorpat Hotel, Tartu
• Saturday 2 September (morning) - departure

Who can apply?

The School is aimed at postgraduate (ie. minimum of Bachelor degree or equivalent) students, engineers and scientists with a few years' experience in particle physics, in computing, or in related fields. We welcome applications from all countries and nationalities. Limited financial support may be available.

    

Alberto and Arnulf School Movies in FullHd and 4K for download

Alberto's School Movie on Youtube

CSC 2023 Booklet

CSC 2023 poster

Photo contest

School Photo Gallery

Tartu running area map

Sunday, 20 August

15:00 Arrival and registration at the hotel

Welcome to CSC 2023 and to the Dorpat hotel where you will be staying for the two weeks to come!
Registration will be open from 14 h in the afternoon.

19:00 Dinner

Monday, 21 August

1 Walk to VSPA conference center

Meet Kristina at the hotel reception at 9:15 to go to the VSPA conference center together

2 Announcements

3 Opening Ceremony

10.00 – 10.03: Tartu University Professor of materials technology Mrs Veronika Zadin (3 min)
10.03 – 10.10: Rector of University of Tartu prof. Toomas Asser
10.10 – 10.15: Minister of Education and Science Mrs Kristina Kallas
10.15 – 10.20: Deputy Mayor of Tartu Mr Mihkel Lees
10.20 – 10.30: CERN Director of R&D prof. Joachim Mnich
10.30 – 10.40: CERN School of Computing director, Mr Alberto Pace

Speaker: Alberto Pace (CERN)

2023-08-21-School-Opening-Ceremony-v11-reshuffled.pdf

2023-08-21-School-Opening-Ceremony-v11-reshuffled.pptx

J.Mnich - Tartu-rev.pdf

J.Mnich - Tartu-rev.pptx

10:45 Welcome coffee

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))

Introduction to Physics Computing: Hadron Collider Physics

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: Pere Mato Vila (CERN)

Tools and Techniques: Introduction

Tools and Techniques: Introduction

6 Walk to DELTA building

13:30 Lunch

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

We continue the track with a discussion of system performance, and what you can (and can't) to affect it. We examine tools to help with that, discussing how they work and how they can mislead. We then discuss source control as a tool for collaboration. Using examples from basic to large and advanced, we show how individual choices can affect the building of large systems.

Speaker: Pere Mato Vila (CERN)

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

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

8 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: Pere Mato Vila (CERN)

Exercise instructions

16:30 Coffee break

9 ㅤExercise 2: Tools and Techniques

This is a continuation of the Tools and Techniques exercises

Speaker: Pere Mato Vila (CERN)

10 Self-presentation: 1 minute per person

CSC2023_self_presentations.pdf

20:00 Welcome dinner at Ülikooli Kohvik / DRINKGELD

Tuesday, 22 August

11 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))

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

12 Data Science L1: Tools for interactive data exploration

High energy physics has a rich history of interactive exploration of physics data, starting with tools like PAW and ROOT. The explosion of Data Science has created new tools for interactive exploration of large and ad-hoc datasets. This lecture introduces some of these, and shows how they can be used to find new and useful features starting with available data.

Speaker: Pere Mato Vila (CERN)

Data Science: Tools for interactive data exploration

Data Science: Tools for interactive data exploration

13 Announcements

2023-08-24-Tuesday-Announcements.pdf

2023-08-24-Tuesday-Announcements.pptx

11:00 Coffee break

14 Data Science L2: Interactive exploration of non-numeric data

This lecture continues the exploration of interactive tools, using a learn-by-doing approach. It covers approaches for statistical simulation, geographical analysis, and textual data.

Speaker: Pere Mato Vila (CERN)

Data Science: Interactive exploration of non-numeric data

Data Science: Interactive exploration of non-numeric data

15 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: Pere Mato Vila (CERN)

Exercise instructions

13:30 Lunch

16 Study or sports time

16:00 Coffee break

17 Exercises 1: Data Science

The exercises provide hands-on experience in three phases: First, we reiterate some examples from lecture to give basic experience. A set of intermediate exercises then extends that to some new problem areas. Finally, students can choose of one of several larger advanced problems to work through.

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 wo 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: Pere Mato Vila (CERN)

Exercise instructions

18 Exercises 2: Data Science

The exercises provide hands-on experience in three phases: First, we reiterate some examples from lecture to give basic experience. A set of intermediate exercises then extends that to some new problem areas. Finally, students can choose of one of several larger advanced problems to work through.

Speaker: Pere Mato Vila (CERN)

19:30 Special dinner and pub quiz at Gunpowder Cellar of Tartu

Wednesday, 23 August

19 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.

Speaker: Stephan Hageboeck (CERN)

Parallelism in a Modern HEP Data Processing Framework

Parallelism in a Modern HEP Data Processing Framework

20 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.

Speaker: Andrei Gheata (CERN)

Sofware_design_II.pdf

21 Announcements

2023-08-23-Wednesday-Announcements.pdf

2023-08-23-Wednesday-Announcements.pptx

11:00 Coffee break

22 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 (CERN)

2022-09-CSC-Alberto-Pace-Data-Technologies.v61.pdf

2022-09-CSC-Alberto-Pace-Data-Technologies.v61.pptx

Excercise-RaidLib.zip

23 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.

Speaker: Andrei Gheata (CERN)

Sofware_design_III.pdf

13:30 Lunch

24 Study or sports time

16:00 Coffee break

25 Exercises 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 (CERN), Stephan Hageboeck (CERN)

csc2023.tar.gz

exercises.pdf

26 Exercises 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 (CERN), Stephan Hageboeck (CERN)

19:00 Dinner

27 The history of Estonia and current situation

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

CSC_evening_lectures-AQuadt_23082023.pdf

Thursday, 24 August

28 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)

29 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.

Speaker: Stephan Hageboeck (CERN)

CSC2023_SW_Design_ManyCore_4.pdf

30 Announcements

2023-08-24-Thursday-Announcements.pdf

2023-08-24-Thursday-Announcements.pptx

11:00 Coffee break

31 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)

32 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)

33 School photo

13:30 Lunch

14:30 Study, Sports or Visit of the City of Tartu with guide

Afternoon with free time

16:30 Departure from Delta for City tour guide 1 and 2

18:00 Departure from Tartu town square for City tour guide 3

Departure from the space in front of the Town hall.

19:30 Dinner

Friday, 25 August

34 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)

35 Data Visualization L1: The Theory Behind Data Visualization

In this lecture, we introduce the basic concepts behind data visualization, what we are visualizing, why we are visualizing it, and how we can visualize data more effectively.

Speaker: Eamonn Maguire

Principles-of-Visualization-Course-Pt1.pdf

36 Announcements

2023-08-25-Friday-Announcements.pdf

2023-08-25-Friday-Announcements.pptx

11:00 Coffee break

37 Data Visualization L2: Practical Applications of Theory and Multi-Dimensional Data Visualization

In this lecture we apply some of what we learned in Lecture 1 and also introduce the visualization of multi-dimensional data.

Speaker: Eamonn Maguire

Principles-of-Visualization-Course-Pt2.pdf

38 ㅤExercise 3: Software Design

This is a continuation of the Software Design exercises.

Speakers: Andrei Gheata (CERN), Stephan Hageboeck (CERN)

exercises.pdf

Link to SWAN Notebook

13:30 Lunch

39 Study or sports time

16:00 Coffee break

40 Exercise 1: Data Visualization

Speaker: Eamonn Maguire

Excercises

41 Exercise 2: Data Visualization

Speaker: Eamonn Maguire

19:30 Dinner

Saturday, 26 August

42 Data Technologies: Introduction

The lecture will introduce the basic concepts of IO systems, protocols and data storage models as a preparation to the data technology exercises.

Speakers: Alberto Pace (CERN), Andreas Joachim Peters (CERN)

CSC 2023 Exercises Introduction.pdf

Excercise-RaidLib.zip

Exercises Data Technologies

43 Student Lightning Talks

CSC2023_lightning_talks_part1.pdf

44 Announcements

2023-08-26-Saturday-Announcements.pdf

2023-08-26-Saturday-Announcements.pptx

11:00 Coffee break

45 Data Technologies - exercises

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.

Speakers: Alberto Pace (CERN), Andreas Joachim Peters (CERN)

Excercise-RaidLib.zip

Exercises

46 Data Technologies - exercises

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)

13:30 (Packed) Lunch to go

47 Visit to the Estonia National Museum (optional)

Do not miss the Estonian National Museum! https://erm.ee/en
The Estonian National Museum was founded in Tartu in 1909 on the initiative and with the support of the nation – with the task to protect and develop the history and culture of Estonia. As in many other European countries, primary importance was attached to preserving the old, fading peasant culture. Also considered essential was gathering and looking after artefacts contributing to better understanding of cultural development, archaeological findings, old coins, books, manuscripts and historical records.

Over time, a number of other museums, archives and libraries were founded, and the Estonian National Museum re-focused mainly on folk culture. Until World War II, the Estonian National Museum accumulated everything related to the Estonian national heritage. The fact that the museum had become a recognised memory institution by the 1930s was greatly supported also by contacts with foreign countries (Finland, Sweden, Germany, France etc), both in exchanging scientific literature, participating in study and research trips and scientific conferences and also through organising exhibitions outside Estonia.

Today, Estonian National Museum preserves the feeling of continuity and tradition. The museum is the generator and developer of cultural dialogue which links the past and the future. ENMs role as a centre of ethnological research is to record, study and interpret culture as a way of life, taking into account its periodical, spatial and social diversity. The Museum's function as a contemporary cultural and tourist centre is to show our cultures uniqueness and primeval power of creation to every Estonian and visitor.

The main emphasis of research and collecting is on Estonian everyday life in the second half of the 20th century as well as on the Estonian diaspora and audiovisual, archival and artifactual data from Finno-Ugric cultures. Through the Museum’s exhibitions and events, one can take a look at Estonians’ everyday lives in different periods. Interactive displays offer hands-on experience; it is possible to observe what an Estonian home looks like, explore Estonian cuisine and make oneself familiar with local dress, language and customs. Attention is also paid to the cultures of other nations, especially those of the Finno-Ugric peoples.

19:30 Dinner

Sunday, 27 August

48 Meeting in front of the hotel, entering buses

09:00 Excursion - Canoeing and Sauna culture

Full day excursion including lunch and dinner

Monday, 28 August

49 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 (University of Split Faculty of Science (HR))

Lecture_1_CSC2023.pdf

50 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 (University of Split Faculty of Science (HR))

Lecture_2_CSC2023.pdf

51 Announcements

2023-08-28-Monday-Announcements.pdf

2023-08-28-Monday-Announcements.pptx

11:00 Coffee break

52 Data Analysis L3: Parameter estimation and confidence intervals

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

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

Lecture_3_CSC2023.pdf

53 Estonia E-Data

Speaker: Dr Kristo Vaher (Ministry of Economic Affairs and Communications)

Presentation

13:30 Lunch

54 Study or sports time

16:00 Coffee break

55 Exercises 2: Data Technologies

This is a continuation of the Data Technologies exercises.

Speaker: Andreas Joachim Peters (CERN)

CSC 2023 Cloud Exercise .pdf

CSC 2023 Exercises Take Home Messages.pdf

Exercises Data Technologies

56 Exercises 3: Data Technologies

This is a continuation of the Data Technologies exercises.

Speaker: Andreas Joachim Peters (CERN)

19:00 Dinner at the Delta cafeteria

57 Special evening talk: When Internet history meets philosophy

Speaker: Francois Fluckiger

Tuesday, 29 August

58 Machine Learning L1

Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

CSC_2023_Lecture1.pdf

59 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)

Creating Secure Software

60 Announcements

2023-08-29-Tuesday-Announcements.pdf

2023-08-29-Tuesday-Announcements.pptx

11:00 Coffee break

61 Machine Learning L2

Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

CSC_2023_Lecture2.pdf

62 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 (CERN)

13:30 Lunch

63 Study or sports time

16:00 Coffee break

64 Exercises 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)

CSC2023-Lopienski-CreatingSecureSoftware exercises.pdf

CSC2023-Lopienski-CreatingSecureSoftware exercises.pptx

65 Exercises 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)

19:30 Pizza Dinner at Vapiano

Wednesday, 30 August

66 Machine Learning L3

Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

CSC_2023_Lecture3.pdf

67 Data Analysis L4: 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 (University of Split Faculty of Science (HR))

Lecture_4_CSC2023.pdf

68 Announcements

2023-08-30-Wednesday-Announcements.pdf

2023-08-30-Wednesday-Announcements.pptx

11:00 Coffee break

69 Exercises 1: Data Analysis

There will be 3 sets of exercises covering basic properties of PDFs and Monte Carlo generators, Maximum Likelihood fit, and 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. 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))

Exercise_1.pdf

Exercise_Instructions.pdf

solution_exercise_1.py

70 Exercises 2: Data Analysis

There will be 3 sets of exercises covering basic properties of PDFs and Monte Carlo generators, Maximum Likelihood fit, and 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. 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))

decay.txt

Exercise_2.pdf

Exercise_Instructions.pdf

solution_exercise_2.py

13:30 Lunch

71 Study or sports time

16:00 Coffee break

72 Exercise 3: 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)

73 ㅤExercise 1: Machine Learning

Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

Github Repo

19:30 Dinner

Thursday, 31 August

74 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)

75 Announcements

2023-08-31-Thursday-Announcements.pdf

2023-08-31-Thursday-Announcements.pptx

76 ㅤExercise 3: Data Analysis

This is a continuation of the Data Analysis exercises

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

Exercise_3.pdf

Exercise_Instructions.pdf

LHCData.txt

solution_exercise_3.py

11:00 Coffee break

77 Exercises 2: Machine Learning

Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

78 Exercises 3: Machine Learning

Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

13:30 Lunch

79 Exam

In order to see results please login with you CERN account (the one used during exercises)

CSC 2023 Exam results (use CERN account to login)

16:00 Coffee break

80 The CSC Traditional football match

19:30 Dinner

Friday, 1 September

81 Student Lightning talks

CSC2023_lightning_talks_part2.pdf

82 Announcements

2023-09-01-Friday-Announcements.pdf

2023-09-01-Friday-Announcements.pptx

10:45 Coffee break

83 Transport to visits

84 Visits to GSCAN/Tartu Observatory

Field trip to GScan
GScan is a company near Tartu that is redefining the boundaries of 3D scanning with Muon Flux Technology (MFT) detectors.
GScan is using naturally occurring cosmic-ray induced muons, electrons and positrons as the source for performing 3D scanning and chemical composition analysis. Utilising a natural source makes every GScan system radiation safe - no harm to the surrounding people nor the environment itself. Their solutions are modular and highly-scalable, using the in-house developed 1m x 2m detector array modules. With a strong base of startup mindset, fundamental and information sciences, a highly modern manufacturing industry, coupled with high work ethics coming from Estonia has provided us with a strong competitive edge for developing such a complex technology.

Field trip to Tartu Observatory
Tartu Observatory is an Estonian space centre whose main task is research and development. They train young scientists in astronomy, remote sensing, and space technology, and are a recognised partner in international networks. Tartu Observatory has accredited test laboratories where companies can test their equipment in different environmental conditions. The laboratory complex of the observatory offers environmental testing of devices and optical measurements. The laboratories include special electrostatic discharge (ESD) safe areas, a cleanroom and an anechoic environment.
Tartu Observatory´s history goes back to the 19th century when the Tartu Old Observatory (Tartu Tähetorn) was built. There, astronomer F. G. W. Struve created the meridian arc to determine the shape and size of the globe, this geodetic arc is listed under UNESCO World Heritage. In the mid 20th century scientists led by Einasto discovered the honeycomb-like structure of the universe.
We`ll visit the laboratories, have mini lecture about data gathering and science in soviet times and of course visit the big telescope (1.5 m mirror telescope AZT-12 with a long-slit spectograph in the Cassegrain focus, providing spectral resolution of R~ 100 to 12000).

85 Transport to Delta building

13:30 Lunch

86 Graduation and closing ceremony

2023-09-01-Friday-Closing-Ceremony.pdf

2023-09-01-Friday-Closing-Ceremony.pptx

2023-09-01-Tauno-Loc-Presentation.pdf

2023-09-01-Tauno-Loc-Presentation.pptx

19:30 Closing dinner at Vilde Ja Vine

Saturday, 2 September

09:00 Departure