Home
| Subject Search
| Help
| Symbols Help
| Pre-Reg Help
| Final Exam Schedule
| My Selections
|
7.395 Independent Study in Cell and Molecular Biology
(, )
Prereq: None
Units arranged
TBA.
Program of study or research to be arranged with a department faculty member.
Fall: Staff
Spring: Staff
No required or recommended textbooks8.811 Particle Physics
()
Prereq: 8.701
Units: 3-0-9
Lecture: MW1-2.30 (8-205)
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)5.53 Molecular Structure and Reactivity
()
Prereq: 5.43, 5.601, and 5.602
Units: 3-0-9
Lecture: TR10.30-12 (2-136)
Reaction mechanisms in organic chemistry: methods of investigation, relation of structure to reactivity, and reactive intermediates.
A. Radosevich, M. Elkin
No textbook information availableIDS.C57[J] Optimization Methods
()
(New)
(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
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)
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: 36+
You may remove a subject from your selection by clicking on the button in the description.
Or, you may delete your entire selection by pushing the following button:Examine your course selections. When ready, click the pre-registration button below to submit them to pre-registration. (Certificates are required.)
A note on the schedule: Lecture options are shown, not labs or recitations.
A text chart may show up better for printing.
TIME Mon Tue Wed Thu Fri KEY 7 am 8 am 9 am 10 am 11 am 12 pm 1 pm 2 pm 3 pm 4 pm 5 pm 6 pm 7 pm 8 pm 9 pm