The typical image acquisition pipeline begins with light entering some optical system and ultimately ends up being read by an optical sensor. The course introduces the principal aspects of fiber optic telecommunications. This course deals with the Chaos theory and concepts and modeling chaotic behavior of a dynamical system. This course helps graduate students understand the theoretical and practical aspects of wireless communication systems. The course covers the basics of broadcast engineering and progresses to the latest technologies related to broadcast engineering.
Major Analysis and design of amplifiers and power supplies. The course covers the basic concepts of probability, random variables, special discrete and continuous probability distributions, sampling concepts, sampling distributions, hypothesis testing, and linear regression and correlation analysis. This course covers topics on Propagation at different frequencies; Transmission path Loss; rain attenuation; multipath fading; and analysis and design of antenna systems. This course gives an introduction to cybernetic engineering. This course advances the student to the theory of fractional order calculus and its applications to signals processing and system theory.
This course focuses on the Synthesis of Non-Linear Networks. ECEM Power Electronics Major This course provides ECE graduate students an understanding of the application of power semiconductor components and devices to power system problems; power control, conditioning, processing and switching. The course examines the development braduation ideas and how these are translated into opportunities and eventually businesses; it challenges the students to go through the process of writing a business plan, which will be their final output in this course.
Analog and digital terrestrial broadcast systems, cable television, satellite communications, microwaves, pre-recorded media and shared networking technologies such as the internet.
This graduate course aims to educate students about the concepts behind robotics technology that are in research, industries, and manufacturing processes.
Topics included in this subject are: It focuses on image processing theory as well as the application of imaging in the design and implementation of systems for machine vision in the real world. This subject discusses the theories regarding linear systems.
It deals with multi-processing and multi-programming; high level computer language array and different computer networks. This course is intended for Ph. This course also covers the submicron MOS and the short channel effects.
This course deals with Waveguides Cavity resonators; Passive and active microwave devices; Sparameters and circuit models of active devices; Transformers and coupler; and Mircowave filters. It deals with Waveguides Cavity resonators; Passive and active microwave devices; Sparameters and circuit models of active devices; Transformers and coupler; and Mircowave filters.
The lecture includes manipulator dynamics, forces and torque interactions with environments, and trajectory planning.
This course will discuss the techniques of computing and rendering 3-dimensional objects in the computer screen. Robotics sensory devices are investigated to lssallian clearly the role played by internal sensors in the control of individual robotic joint, and also by external sensors in providing the robot with knowledge about its external environment. The course covers the topics on radiowave propagation, antennas and antenna systems, analysis and design of different wireless engineer systems, e.
ECEM Genetic Algorithm Major This course aims graduatioj educate students about the concepts and uses of genetic algorithm in search, optimization, and machine learning.
The students are taught the concepts of data structures to be applied for game programming and computer animations.
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This course deals with signal modelling, optimum filters, spectrum estimation, adaptive filters, and multirate signal processing. ECEM Advanced Robotics with Laboratory Major This graduate course aims to educate students about the concepts behind robotics technology that are in research, industries, and manufacturing processes.
The design approach covers behavioral modeling, structural modeling and Register Transfer Level modeling of digital systems. It gives solutions to problems using a probabilistic optimization method based on evolution strategies as nature solves the problem of adapting living organisms to ECEM Computer Graphics for Engineers Major This course will discuss the techniques of computing and rendering 3-dimensional objects in the computer screen.
It covers the fundamental theory involved and gives detailed design examples involving both software and system optimization. ECEM Machine Vision and Image Processing Major The course focuses on image processing theory as well as the application of imaging in the design and implementation of systems for machine vision in the real world.
This course deals with multi-processing and multi-programming; High level computer language array and different computer networks.
This course covers the spech of switching theory, logic concepts, logic circuit components, combinatorial logic circuit design and optimization, and sequential circuit design.
This course is composed of lecture and computer laboratory using Open Dynamics Engine. A study of the fundamentals of research designs, analysis and interpretations of data, project feasibility epeech, and qualitative research techniques. In essence, compressive sensing allows one to find the inverse of underdetermined systems by placing a sparsity constraint on the variables.
COEM Techpreneurship This course takes the participant through entrepreneurship in technology ventures, which is about commercializing technology ideas into viable enterprises.
ECEM Advanced Electromagnetic Theory Major To make a study of wave phenomenon and detailed treatment of transmission, reflection and refraction of plane waves. This course tackles some of the problems under computational photography along with potential solutions to the said problems.
ECEM Computational Photography Major The typical image acquisition pipeline begins graduatikn light entering some optical system and ultimately ends up being read by an optical sensor. It comprises the fairly recent areas of evoluationary computing, fuzzy computing, neuro-computing, as well as some related machine learning processes.