This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem.
This course explores electromagnetic phenomena in modern applications, including wireless and optical communications, circuits, computer interconnects and peripherals, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided waves; resonance; acoustic analogs; and forces, power, and energy.
N. Tishby, and N. Zaslavsky. (2015)cite arxiv:1503.02406Comment: 5 pages, 2 figures, Invited paper to ITW 2015; 2015 IEEE Information Theory Workshop (ITW) (IEEE ITW 2015).
Y. Zhou, B. Gram-Hansen, T. Kohn, T. Rainforth, H. Yang, and F. Wood. (2019)cite arxiv:1903.02482Comment: Published in the proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS).
C. Blundell, J. Cornebise, K. Kavukcuoglu, and D. Wierstra. Proceedings of the 32nd International Conference on Machine Learning, volume 37 of Proceedings of Machine Learning Research, page 1613--1622. Lille, France, PMLR, (07--09 Jul 2015)
A. Grover, and S. Ermon. Proceedings of Machine Learning Research, volume 89 of Proceedings of Machine Learning Research, page 2514--2524. PMLR, (16--18 Apr 2019)
M. Titsias, and F. Ruiz. Proceedings of Machine Learning Research, volume 89 of Proceedings of Machine Learning Research, page 167--176. PMLR, (16--18 Apr 2019)
D. Molchanov, V. Kharitonov, A. Sobolev, and D. Vetrov. Proceedings of Machine Learning Research, volume 89 of Proceedings of Machine Learning Research, page 2593--2602. PMLR, (16--18 Apr 2019)
H. Salman, G. Yang, J. Li, P. Zhang, H. Zhang, I. Razenshteyn, and S. Bubeck. (2019)cite arxiv:1906.04584Comment: Spotlight at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada; 9 pages main text; 31 pages total.