VE475 Introduction to Cryptography (2015 Summer)
Description
Covers fundamental concepts, algorithms, and protocols in cryptography. Topics are about ancient ciphers, symmetric encryption, public key encryption, hash functions, digital signatures, key distribution, etc. Highlights AES, RSA, discrete log, elliptic curves. Emphasizes rigorous mathematical study in terms of algorithmic complexity. Includes necessary background from algorithms, probability, number theory and algebra.
Topic
Block ciphers; public key cryptography; elliptic curve cryptography; quantum cryptography; cryptographic applications.
VE373 Design of Microprocessor Based Systems (2015 Summer)
Description
This course is designed to cover different aspects of microprocessor-based system, and consists of both lecture and laboratory sessions. Topics include microprocessor memory map, software development, simulation, debugging and testing; hardware and software interfacing; principles of interrupts; peripheral configuration and control for Timers, UART, ADC, PWM, I2C, and other external devices. Experiments with specially designed laboratory facilities will help students to develop skills for embedded software development using assembly and C programming languages.
Topic
PIC MCU architecture; I/O; timer; interrupts; input capture; output compare; ADC; serial communication; DMA.
VV557 Methods of Applied Mathematics II (2015 Spring)
Description
This course discusses Green’s function methods for solving PDEs, focusing on the Laplace equation but also extending to other PDEs. Starting from the Dirac delta function as a formal symbol to denote a point source, we begin a discussion of generalized functions (distributions), including weal derivatives and the distributional Fourier transform, leading to weak (distributional) solutions of ordinary and partial differential equations. Basic concepts are introduced and various methods for finding Green’s functions are discussed, including conformal mappings, the method of images and eigenfunction expansions. As an application, we give a brief overview of the use of Green’s functions in the boundary element method.
Topic
Green’s function; distributions; generalized solution to PDE.
VE301 Probabilistic Methods in Engineering (2015 Spring)
Description
This course on basic elements of statistical and probabilistic methods focuses particularly on applications to engineering such as quality control, acceptance sampling and comparison of qualitative data. The goal is to introduce the student to statistical methods and give enough practice and familiarity so that these methods may be immediately applied in other courses, lab experiments and project work.
Topic
Probability theory; statistical inference; basic random process.
Recitation Class Slide
VE370 Introduction to Computer Organization (2014 Fall)
Description
This course is designed to cover basic concepts of computer organization and hardware; instructions executed by a processor and how to use these instructions in simple assembly-language programs; stored-program concept; datapath and control for multiple implementations of a processor; performance evaluation, pipelining, caches, virtual memory, input/output, parallelism.
Topic
Pipelined datapath and control; data and control hazard; exception; cache and virtual memory; MIPS Assembly.
VE270 Introduction to Logic Design (2014 Summer)
Description
This course is designed to cover binary and non-binary number systems, Boolean algebra, digital design techniques, logic gates, logic minimization, standard combinational circuits, sequential circuits, flip-flops, arithmetic circuits, programmable logic devices, and computer-aided design. Laboratory includes design and implementations of digital circuits and systems.
Topic
Combinational logic design; sequential logic desgin; RTL design; Verilog HDL.
VE203 Discrete Mathematics (2013 Fall)
Description
This course is an introduction to the mathematical foundations of computer science. It focuses on providing the students of the skills and tools used in the further study of computer science. All of the material is directly applicable to computer science and engineering, but it is presented from a mathematician's perspective. Students will learn that discrete mathematics is very useful, especially those whose interests lie in computer science and engineering, as well as those who plan to study probability, statistics, operations research, and other areas of applied mathematics.
Topic
Logic; set theory; number theory; combinatorial mathematics; discrete probability; graph theory.
Recitation Class Slide
VV256 Applied Calculus IV (2013 Fall)
Description
The sequence Applied Calculus VV155-156-255-256 is an introduction to basic calculus. New concepts are often introduced and extended from concrete examples, remaining closely aligned to applications. Most theorems are stated rigorously and motivated from examples, but complicated proofs and abstract generalizations are often omitted. The emphasis is on applying mathematical results to concrete problems. The present course focuses on ordinary differential equations and their applications.
Topic
Ordinary differential equation; Laplace Transformation; basic linear algebra; system of differential equations.
Recitation Class Slide
VG101 Introduction to Computer and Programming (2012 Fall)
Description
Introduce students in Engineering to the algorithmic method that drives the information age. Algorithms are an organized means to construct the solution of a problem, structured as a well-defined set of steps that can be carried out by a mechanism such as a computer. VG101 focuses on the development of algorithms to solve problems of relevance in engineering practice and on the implementation of these algorithms using high-level computer languages.
Topic
Introduction to computing; MATLAB programming and graphics; C programming; basic C++ programming.