# Mathematics 1,280 courses and talks. - [Foundation of Statistics - 2/4 LIVE](https://invisiblenetwork.ai/learn/cern/3012875): Glen Cowan · CERN - [Foundation of Statistics - 1/4 -LIVE](https://invisiblenetwork.ai/learn/cern/3016597): Glen Cowan · CERN - [Material for the CMS monojet analysis for 101+36/fb (PAS-EXO-20-004)](https://invisiblenetwork.ai/learn/cern/3012878): Andreas Albert · CERN - [Theorists' feedback on reusing the CMS disappearing track analysis EXO-19-010](https://invisiblenetwork.ai/learn/cern/3012937): Mark Dayvon Goodsell · CERN - [Statistics for Particle Physicists](https://invisiblenetwork.ai/learn/cern/3012353): Glen Cowan · CERN - [Statistics for Particle Physicists](https://invisiblenetwork.ai/learn/cern/3012307): Glen Cowan · CERN - [Statistics for Particle Physicists](https://invisiblenetwork.ai/learn/cern/3012227): Glen Cowan · CERN - [Statistics for Particle Physicists](https://invisiblenetwork.ai/learn/cern/3018981): Glen Cowan · CERN - [Image-Based Jet Analysis and its application to experiments](https://invisiblenetwork.ai/learn/cern/3018444): Michael Aaron Kagan · CERN - [The concept of Emergy (spelled with “m”!) and the emergy analysis](https://invisiblenetwork.ai/learn/cern/3008080): Francesco Gonella · CERN - [Material for the CMS disappearing track analysis CMS-EXO-19-010](https://invisiblenetwork.ai/learn/cern/3014895): Brian Francis · CERN - [Indeterminism in Physics and Intuitionistic Mathematics](https://invisiblenetwork.ai/learn/cern/3000047): Nicolas Gisin · CERN - [Bayesian Analysis of Oxygen-Oxygen Collisions](https://invisiblenetwork.ai/learn/cern/3019335): Govert Nijs · CERN - [Web-Based Analysis at CERN](https://invisiblenetwork.ai/learn/cern/3019218): Diogo Castro, Enric Tejedor Saavedra and Prasanth Kothuri · CERN - [Web-Based Analysis at CERN](https://invisiblenetwork.ai/learn/cern/3005267): Diogo Castro, Enric Tejedor Saavedra and Prasanth Kothuri · CERN - [Rapidity evolution of collision geometry from the improved TRENTo-3D model](https://invisiblenetwork.ai/learn/cern/3018348): Weiyao Ke · CERN - [A global analysis of Heavy Ion Collisions with transverse momentum dependence](https://invisiblenetwork.ai/learn/cern/3017943): Wilke Van Der Schee · CERN - [Fishnet Integrals from Integrability and Geometry](https://invisiblenetwork.ai/learn/cern/3016592): Florian Loebbert · CERN - [Non Linear Dynamics - Phenomenology II](https://invisiblenetwork.ai/learn/cern/3021190): Yannis Papaphilippou · CERN - [Non Linear Dynamics - Phenomenology I](https://invisiblenetwork.ai/learn/cern/3021186): Yannis Papaphilippou · CERN - [Non Linear Dynamics - Methods and Tools II](https://invisiblenetwork.ai/learn/cern/3021184): Yannis Papaphilippou · CERN - [Non Linear Dynamics - Methods and Tools I](https://invisiblenetwork.ai/learn/cern/3021133): Yannis Papaphilippou · CERN - [Nurturing Girls in Ghana in the Mathematical Sciences](https://invisiblenetwork.ai/learn/cern/3014190): Angela Tabiri · CERN - [Artificial Intelligence for Theoretical Physics and Mathematics](https://invisiblenetwork.ai/learn/cern/3003827): Fabian Ruehle · CERN - [Performance Analysis and Optimization on Linux](https://invisiblenetwork.ai/learn/cern/3004469): Guilherme Amadio · CERN - [Neutrino-Nucleus interaction cross section analysis with DUNE-PRISM](https://invisiblenetwork.ai/learn/cern/3003073): Amir Gruber · CERN - [Foundation of Statistics - 4/4](https://invisiblenetwork.ai/learn/cern/3017999): Glen Cowan · CERN - [Foundation of Statistics - 3/4](https://invisiblenetwork.ai/learn/cern/3018006): Glen Cowan · CERN - [Foundation of Statistics - 1/4](https://invisiblenetwork.ai/learn/cern/3013832): Glen Cowan · CERN - [Compact material analysis for batteries and fuel cell development](https://invisiblenetwork.ai/learn/cern/3017362): Steinar Stapnes · CERN - [Towards a global EFT analysis (LHC EFT)](https://invisiblenetwork.ai/learn/cern/3019516): Kristin Lohwasser · CERN - [Accelerators Explained for Everyone - without Maths](https://invisiblenetwork.ai/learn/cern/3012058): Rende Steerenberg · CERN - [Differential Equations for Cosmological Correlators](https://invisiblenetwork.ai/learn/cern/2302630): Guilherme Pimentel · CERN - [Geometry of EFTs (15'+5')](https://invisiblenetwork.ai/learn/cern/3012051): Julie Pagès · CERN - [Amplitude analysis of $B^0 \to K^{*0} \mu^+ \mu^-$ at LHCb](https://invisiblenetwork.ai/learn/cern/3017825): Andrea Mauri · CERN - [Accelerators Explained for Everyone - without Maths](https://invisiblenetwork.ai/learn/cern/3017000): Rende Steerenberg · CERN - [Est-ce qu’on peut faire des maths sans calculs ? (GO)](https://invisiblenetwork.ai/learn/cern/3015519): Clémentina Tierno · CERN - [Accelerators Explained for Everyone - without Maths](https://invisiblenetwork.ai/learn/cern/3015418): Rende Steerenberg · CERN - [SG5 Report – Computing & Data Analysis](https://invisiblenetwork.ai/learn/cern/3011711): Waritsara Watcharaphanit and others · CERN - [Benchmarking Distributed Analysis at the Jülich HPC Center](https://invisiblenetwork.ai/learn/cern/3011887): Joseph Boulis · CERN - [Emulsion Reconstruction Efficiency Analysis in SND@LHC](https://invisiblenetwork.ai/learn/cern/3011286): Tanvi Krishnan · CERN - [Epsilon-Factorized Differential Equations Beyond Polylogarithms](https://invisiblenetwork.ai/learn/cern/3011299): Christoph Nega · CERN - [D-Module Techniques for Solving Differential Equations in the Context of Feynman Integrals](https://invisiblenetwork.ai/learn/cern/3011154): Anna-Laura Sattelberger · CERN - [SG6 Report – Computing & Data Analysis](https://invisiblenetwork.ai/learn/cern/3008313): Sarina Hanifah and others · CERN - [Foundation of Statistics 4/4](https://invisiblenetwork.ai/learn/cern/3007505): Glen Cowan · CERN - [Foundation of Statistics 3/4](https://invisiblenetwork.ai/learn/cern/3007264): Glen Cowan · CERN - [Foundation of Statistics 2/4](https://invisiblenetwork.ai/learn/cern/3007173): Glen Cowan · CERN - [Foundation of Statistics 1/4](https://invisiblenetwork.ai/learn/cern/3007167): Glen Cowan · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=maths&page=25)