Cinema today constitutes an important source of popular historical knowledge of the Holocaust. Fiction films in particular have come to occupy a central place in our understanding and memorialization of the Jewish catastrophe. Given their importance, this course will provide a cultural history of cinematic treatments of the Holocaust, trace major trends and changes in Holocaust representations, and raise questions concerning historical memory of the Holocaust in national cinemas. The main emphasis will be on narrative cinema, but several significant documentaries will also be considered.

Introduction to the fundamentals of quantum mechanics. Probability with discrete and continuous systems. The eigenvalue problem, and other mathematical techniques useful for understanding quantum systems. Quantization in macroscopic systems using classical physics. Operators. Solving classic problems in one-dimension, including the free particle, the particle in a box, the harmonic oscillator, and the impulse (changing the dimensions of a box instantly). Time permitting, we will discuss transmission, reflection, interference, and tunneling.

This is the first semester of a two-semester project where a student works with a faculty adviser on a project. The project can be design, experimental, simulation, or theoretical. Although the overall project requires a proposal, a final report, and a final presentation, the first semester requires only a proposal and satisfactory progress toward final completion.

This course is the second part of a two semester project that is started in E&C-Eng 688F. The project can be design, experimental, simulation, or theoretical. The overall project grade is based on the project proposal, a final report, and a final presentation.

Students must have taken E&C-ENG 688F in order to enroll in this course.

This is a combined course on stochastic processes and statistical inference with emphasis on applications. Topics include: Brief review of probability and introduction to simulation, introduction to random process: Renewal and Poisson processes, Markov chains, Martingales, Random walks, and Brownian motion, introduction to statistical inference: Estimation and confidence intervals, hypothesis testing, linear regression.

Prerequisite is an undergraduate course in probability such as ECE314, or Stat515

Introduction to the tools and methods in the design, analysis, optimization, and control of industrial systems. Topics include neural networks and their application in complex system modeling, fuzzy logic, information fusion methods, and optimization schemes. MATLAB used as the software platform. Prerequisites: differential equations, linear algebra, basic probability.

Course description not available at this time.

Course description not available at this time.

Course description not available at this time.

Course description not available at this time.