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CME 362: An Introduction to Compressed Sensing (STATS 330)

Compressed sensing is a new data acquisition theory asserting that onenncan design nonadaptive sampling techniques that condense thenninformation in a compressible signal into a small amount of data.nnThis revelation may change the way engineers think about signalnnacquisition. Course covers fundamental theoretical ideas, numericalnnmethods in large-scale convex optimization, hardware implementations,nnconnections with statistical estimation in high dimensions, andnnextensions such as recovery of data matrices from few entries (famousnnNetflix Prize).
Terms: Spr | Units: 2-3
Instructors: Candes, E. (PI)

CME 390: Curricular Practical Training

May be repeated three times for credit.
Terms: Win, Spr, Sum | Units: 1 | Repeatable 3 times (up to 3 units total)
Instructors: Murray, W. (PI)

CME 400: Ph.D. Research

Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

CME 444: Computational Consulting

Advice by graduate students under supervision of ICME faculty. Weekly briefings with faculty adviser and associated faculty to discuss ongoing consultancy projects and evaluate solutions. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1-3 | Repeatable for credit

CME 500: Numerical Analysis and Computational and Mathematical Engineering Seminar

Weekly research lectures by experts from academia, national laboratories, industry, and doctoral students. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit

CME 510: Linear Algebra and Optimization Seminar

Recent developments in numerical linear algebra and numerical optimization. Guest speakers from other institutions and local industry. Goal is to bring together scientists from different theoretical and application fields to solve complex scientific computing problems. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit
Instructors: Saunders, M. (PI)

CME 801: TGR Project

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit

CME 802: TGR Dissertation

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit

CME 105: Introduction to Discrete Mathematics and Algorithms

Discrete mathematics and algorithms as used in modeling and problem solving technique emphasizing contemporary problems. Topics: introduction to set theory, logic, combinatorics, and graphs theory; formal proof techniques in induction, recursion, and contradiction; algorithms for sorting, shortest paths, minimum spanning trees, and bipartite matching. Applications to Internet advertising, viral marketing, routing, social networks and games of chance. Recommended: background in linear algebra/matrix theory.

CME 300: Departmental Seminar Series

Required for first-year ICME Ph.D. students; recommended for first-year ICME M.S. students. Presentations about research at Stanford by faculty and researchers from Engineering, H&S, and organizations external to Stanford. May be repeated for credit.
| Repeatable for credit
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