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8.811 Particle Physics
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Graduate (Fall)
Prereq: 8.701
Units: 3-0-9
Remove from schedule Lecture: MW1-2.30 (8-205)
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Modern review of particles, interactions, and recent experiments. Experimental and analytical methods. QED, electroweak theory, and the Standard Model as tested in recent key experiments at ee and pp colliders. Mass generation, W, Z, and Higgs physics. Weak decays of mesons, including heavy flavors with QCD corrections. Mixing phenomena for K, D, B mesons and neutrinos. CP violation with results from B-factories. Future physics expectations: Higgs, SUSY, sub-structure as addressed by new experiments at the LHC collider.
E. Smith
Textbooks (Fall 2024)

IDS.C57[J] Optimization Methods
(New)
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Graduate (Fall)
(Same subject as 6.C57[J], 15.C57[J])
(Subject meets with 6.C571[J], 15.C571[J])
Prereq: 18.C06 or permission of instructor
Units: 4-0-8
Remove from schedule Lecture: MW1-2.30 (E62-233) or MW4-5.30 (E62-262) or TR8.30-10 (E62-276) or TR2.30-4 (E25-111) Recitation: F10 (E51-335) or F1 (45-230) or F2 (45-230)
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Introduction to the methods and applications of optimization. Topics include linear optimization, duality, non-linear optimization, integer optimization, and optimization under uncertainty. Instruction provided in modeling techniques to address problems arising in practice, mathematical theory to understand the structure of optimization problems, computational algorithms to solve complex optimization problems, and practical applications. Covers several examples and in-depth case studies based on real-world data to showcase impactful applications of optimization across management and engineering. Computational exercises based on the Julia-based programming language JuMP. Includes a term project. Basic competency in computational programming and linear algebra recommended. Students taking graduate version complete additional assignments.
A. Jacquillat, H. Lu
Textbooks (Fall 2024)

Total units: 24

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TIMEMon TueWed ThuFri KEY

 8.811

 IDS.C57

7 am




8 am

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2

9 am
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9 pm