This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian m ...

The course deals with the underlying principles of cryptography and network security. It develops the mathematical tools required to understand the topic of cryptography. Starting from t ...

Review of Basic Organization and Architectural Techniques: RISC processors,Characteristics of RISC processors,RISC Vs CISC,Classification of Instruction Set Architectures,Review of perfo ...

MTH 213: Discussion of Lagrange’s form for; The technique of determining an approximate value of f(x) for a non-tabular value of x which lies in the internal [a, b] is called interpolation ...

18.014, Calculus with Theory, covers the same material as 18.01 (Single Variable Calculus), but at a deeper and more rigorous level. It emphasizes careful reasoning and understanding of proofs. ...

The class covers the analysis and modeling of stochastic processes. Topics include measure theoretic probability, martingales, filtration, and stopping theorems, elements of large deviations the ...

introduction to computational techniques for the simulation of a large variety of engineering and physical systems. Applications are drawn from aerospace, mechanical, electrical, chemical and bi ...

In this course on the mathematics of infinite random matrices, students will learn about the tools such as the Stieltjes transform and Free Probability used to characterize infinite random matri ...

Follow the instructor carefully and create a sketch similar to the one shown above. After the sketch is complete and fully defined, extrude it to a depth of 20 units and save the file.

Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems.