This is a 3 unit course with laboratory component. Students are expected to do a synopsis of a published article as a midterm project, and an original term paper demonstrating an application of significant research interest. Foundation Courses required 12 units for M. This course is composed of lecture and computer laboratory using Open Dynamics Engine. Despite the abundance of images in the modern world, many of the problems with images persist to this very day. Major This course will discuss methods of finding optimal solutions to real-world problems at some given constraints. The course will also cover the study and comparison of various working fluids such as steam, ammonia-water mixtures and organic fluids used in geothermal power generation.

Fouries Z, Hilbert transforms Bescel equations and functions, probabilities and random processes. Topics included in this subject are: This course is aimed to provide second part of the introductory robotics knowledge for graduate students in Engineering. As digital images grow in resolution, the amount of memory they consume likewise increase making the task of image compression equally as relevant today. This will be followed by concept of pipelining, the von Neumann architecture vs.

Electronics & Communications Engineering Department

This course helps engineef students understand the theoretical and practical aspects of wireless communication systems. This course introduces the students to engineerr principles of modern control systems theory and engineering. The course covers the topics on radiowave propagation, antennas and antenna systems, analysis and design of different wireless communications systems, e. MOS Fundamentals, CMOS Circuit Fundamentals, CMOS Inverter and its characteristics, inverter chain, pass transistor logic, ratioed logic, random logic, tally circuit, spdech logic, stick diagram, geometric layout and layout rules, dynamic logic, egnineer flops, precharged logic, domino logic, NORA logic, pipelining, dynamic gate power consumption, combinational logic path optimization, different binary adders, shifters and memory.

This course introduces the students to the concept of semi-custom digital IC design. It includes topics such as components integrated in MOS, basic lay outing rules, differential amplifier, current sources techniques, operational amplifiers, analog-to-digital and digital-to-analog converters. 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.


Electronics & Communications Engineering Department – De La Salle University

This course begins with a brief overview of electromagnetic compatibility. This subject discusses the theories regarding linear systems. It introduces the students to the lasalliah of metaheuristics in computational intelligence such as ant colony optimization, particle swarm optimization, simulated annealing, and genetic algorithms.

Major Analysis and design of amplifiers and power supplies. The design approach covers behavioral modeling, structural modeling and Register Transfer Level modeling of digital systems. Matrix computations, roots of linear and non-linear system, interpolation, numerical integration and differentiation, predictor connector, and Runge Kutta Methods, finite difference methods and introduction to finite element methods. The students will the thought of the challenges of characterizing complex systems from Simple linear systems to Shift-invariant systems.

This course focuses on inductive rule based methods based on rough set theory. Despite the abundance of images in the modern world, many of the problems with images persist to this very day.

Basic This course is intended for Ph.

Advanced Mathematics 6 units Required COE Advanced Mathematical Methods Review of linear algebra and linear differential equation, existence and uniqueness, autonomous systems, phase portraits, nonlinear system, linearization, stability, perturbation, chaos and bifurcation.

Topics to be covered in the course include: It comprises the fairly recent areas of evoluationary computing, fuzzy computing, neuro-computing, as well as some related machine learning processes. Engjneer Compressive Sensing and Sparse Representations Major The technique known as compressive sensing is a recent development in the field of signal processing that the reconstruction of a complete signal sleech incomplete measurements.

This course deals with the analysis and design of systems employing electronic feedback controls and transducers. The course presents both theory and applications to motivate the understanding by providing real-world useful applications of Artificial Intelligence techniques. This course discusses the theories regarding linear systems.


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This subject is aimed to provide second part of the introductory robotics knowledge for graduate students in Engineering. Computational intelligence reflects the essential role of building Intelligent Systems. In particular, we look at the image acquisition process, image fusion techniques, resizing and enhancement, as well as HDR imaging.

ECEM Switching Theory Major This course covers topics on Number system and codes, Boolean algebra, combinational circuit minimization sequential circuit analysis and synthesis, and sequential circuit state minimization.

Topics covered in this course include modulation techniques, noise, transmitter and receiver circuits. Mathematics of robot manipulation and manipulator modeling are discussed. Protocols and basic Principles, multiplexing and design of communication networks, and hierarchical structure.

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This course covers the fundamentals of switching theory, logic concepts, logic circuit components, combinatorial logic circuit design and optimization, and sequential circuit design. This course covers topics on Propagation at different frequencies; Transmission path Loss; rain attenuation; multipath fading; and analysis and design of antenna systems.

At the end of the course, the student is expected to be able to perform linear and non-linear constrained optimization computations to find optimal solutions considering real-world situations. The lecture includes manipulator dynamics, forces and torque interactions with environments, and trajectory planning.

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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.