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Prerequisite(s): Math 122 or Math 126; Math 290; experience programming in C, C++, or Fortran; (or equivalent) Highly recommended: Math 127 or Math 223.
Basic concepts and techniques in the design and analysis of high-frequency digital and analog circuits. Topics include: transmission lines, ground and power planes, layer stacking, substrate materials, terminations, vias, component issues, clock distribution, cross-talk, filtering and decoupling, shielding, signal launching.
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A seminar intended to help connect freshmen and transfer EECS students to the EECS department, their chosen profession, and each other. Topics include overviews of the various disciplines, curricula and advising, ethics and professionalism, student organizations and extracurricular activities, senior projects, and career planning.
(2005)Efficient iterative decoding algorithms for turbo and low-density parity-check (LDPC) codes Doctoral thesis, University of Surrey.
(under 2nd round of revision), Jan.
Prerequisite(s): or experience with object oriented programming and large programs. MATH 290 or experience with linear algebra. or MATH 526or experience with probability and statistics. Or consent from the instructor.
This course covers topics in data collection, data transmission, and data analysis, in support of discoveries and innovations based on massive amountsof data. EECS 731 surveys current topics in data science. It provides a comprehensive review of theory, algorithms, and tools that are used in datascience and prepares students to take in-depth following up courses in EECS. EECS 731 is a project-oriented course. It offers hands-on experience for students to integrate knowledge from a wide-range of topics in data science without dwelling on any particular subfield of data science.
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Ardakani, ''A Class of Binary Locally Repairable Codes,'' IEEE Trans.
April 21, 2006
Ardakani, ''On Network Coding for Funnel Networks,'' IEEE Commun.
Analysis of linear electrical circuits: Kirchoff's laws; source, resistor, capacitor and inductor models; nodal and mesh analysis; network theorems; transient analysis; Laplace transform analysis; steady-state sinusoidal analysis; computer-aided analysis.
Ardakani, ''Fountain Code Design for the Y-network,'' IEEE Commun.
Mathematical foundations including logic, sets and functions, general proof techniques, mathematical induction, sequences and summations, number theory, basic and advanced counting techniques, solution of recurrence relations, equivalence relations, partial order relations, lattices, graphs and trees, algorithmic complexity, and algorithm design and analysis. Throughout there will be an emphasis on the development of general problem solving skills including algorithmic specification of solutions and the use of discrete structures in a variety of applications.
1200 E California Blvd. MC 305-16, Pasadena, CA 91125
Continued study of electrical circuits: Steady state power analysis, three-phase circuits, transformers, frequency response, two-port network analysis.
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Vector analysis. Electrostatic and magnetostatic fields in a vacuum and material media. Electromagnetic fields and Maxwell's equations for time-varying sources. The relationship between field and circuit theory. Simple applications of Maxwell's equations.
Ardakani, ''On the Capacity of Duplication Channels,'' IEEE Trans.
Electrostatic and magnetostatic fields in a vacuum and material media. Electromagnetic fields and Maxwell's equations for time-varying sources. The relationship between field and circuit theory. Simple applications of Maxwell's equations.
Prerequisite(s): Corequisite: MATH 125
This course continues developing problem solving techniques by focusing on the imperative and object-oriented styles using Abstract Data Types. Basic data structures such as stacks, queues, and trees will be covered. Recursion. Basic notions of algorithmic efficiency and performance analysis in the context of sorting algorithms. Basic Object-Oriented techniques. An associated laboratory will develop projects reinforcing the lecture material. Three class periods and one laboratory period per week.
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