T. Binoth was a reader in theoretical particle physics at the University of Edinburgh.C. Buttar is a reader in experimental particle physics at the University of Glasgow. He also works on the ATLAS experiment at CERN.P.J. Clark is a reader in experimental particle physics at the University of Edinburgh. He also works on the ATLAS experiment at CERN.E.W.N. Glover is a professor in theoretical physics and former director of the Institute for Particle Physics Phenomenology at the University of Durham.

"The lecturers are top-level experts and the book provides a nice introduction to many topics in high-energy physics, making it a valuable addition to many libraries around the world, including those of the hundreds of universities and institutes that participate in the LHC experiments. The chapter on statistics is particularly useful as an introduction for PhD students and postdocs who are heavily involved in data analyses." -Carlos Lourenco, CERN Courier, January 2013

• THEORETICAL FOUNDATIONS: Perturbative QCD and the Parton Model. Higgs and Electroweak Physics. B Physics in the LHC Era. BSM Phenomenology. THE LARGE HADRON COLLIDER: The LHC Accelerator: Performance and Technology Challenges. LHC Detectors and Early Physics. Forward Physics. Heavy-Ion Physics. New Physics Searches. TOOLS: Monte Carlo Tools. Topics in Statistical Data Analysis for HEP. Grid Computing.

T. Binoth was a reader in theoretical particle physics at the University of Edinburgh.C. Buttar is a reader in experimental particle physics at the University of Glasgow. He also works on the ATLAS experiment at CERN.P.J. Clark is a reader in experimental particle physics at the University of Edinburgh. He also works on the ATLAS experiment at CERN.E.W.N. Glover is a professor in theoretical physics and former director of the Institute for Particle Physics Phenomenology at the University of Durham.

"The lecturers are top-level experts and the book provides a nice introduction to many topics in high-energy physics, making it a valuable addition to many libraries around the world, including those of the hundreds of universities and institutes that participate in the LHC experiments. The chapter on statistics is particularly useful as an introduction for PhD students and postdocs who are heavily involved in data analyses." -Carlos Lourenco, CERN Courier, January 2013

• THEORETICAL FOUNDATIONS: Perturbative QCD and the Parton Model. Higgs and Electroweak Physics. B Physics in the LHC Era. BSM Phenomenology. THE LARGE HADRON COLLIDER: The LHC Accelerator: Performance and Technology Challenges. LHC Detectors and Early Physics. Forward Physics. Heavy-Ion Physics. New Physics Searches. TOOLS: Monte Carlo Tools. Topics in Statistical Data Analysis for HEP. Grid Computing.

T. Binoth was a reader in theoretical particle physics at the University of Edinburgh.C. Buttar is a reader in experimental particle physics at the University of Glasgow. He also works on the ATLAS experiment at CERN.P.J. Clark is a reader in experimental particle physics at the University of Edinburgh. He also works on the ATLAS experiment at CERN.E.W.N. Glover is a professor in theoretical physics and former director of the Institute for Particle Physics Phenomenology at the University of Durham.

"The lecturers are top-level experts and the book provides a nice introduction to many topics in high-energy physics, making it a valuable addition to many libraries around the world, including those of the hundreds of universities and institutes that participate in the LHC experiments. The chapter on statistics is particularly useful as an introduction for PhD students and postdocs who are heavily involved in data analyses." -Carlos Lourenco, CERN Courier, January 2013

• THEORETICAL FOUNDATIONS: Perturbative QCD and the Parton Model. Higgs and Electroweak Physics. B Physics in the LHC Era. BSM Phenomenology. THE LARGE HADRON COLLIDER: The LHC Accelerator: Performance and Technology Challenges. LHC Detectors and Early Physics. Forward Physics. Heavy-Ion Physics. New Physics Searches. TOOLS: Monte Carlo Tools. Topics in Statistical Data Analysis for HEP. Grid Computing.