What makes bioinformatics education exciting is that people of a variety of education levels can get started quickly, with just a computer and internet access. The DNA sequencing revolution has exploded and new, inexpensive technologies have led to sequences being determined faster than they can be analyzed. Bioinformatics brings together biology, math and computer science into a quickly emerging discipline that turns the computer into a scientific research lab.

Free Space Optical (FSO) Communication uses light propagation in free space (air, outer space, and vacuum) to wirelessly transmit data for telecommunications and communication networking. FSO Communication is a key wireless and high-bandwidth technology for high speed large-capacity terrestrial and aerospace communications, which is often chosen as a complement or alternative to radio frequency communication.

Industrial machines, automobiles, airplanes, robots, and machines are among the myriad possible hosts of embedded systems. The author researches robotic vehicles and remote operated vehicles (ROVs), especially Underwater Robotic Vehicles (URVs), used for a wide range of applications such as exploring oceans, monitoring environments, and supporting operations in extreme environments. Embedded Mechatronics System Design for Uncertain Environments has been prepared for those who seek to easily develop and design embedded systems for control purposes in robotic vehicles.

Radar and Communication Spectrum Sharing addresses the growing conflict over use of the radio-frequency spectrum by different systems, such as civil and security applications of radar and consumer use for wireless communications. The increasing demand for this finite resource is driving innovation into new ways in which these diverse systems can cohabit the spectrum.

This brief introduces a class of problems and models for the prediction of the scalar field of interest from noisy observations collected by mobile sensor networks. It also introduces the problem of optimal coordination of robotic sensors to maximize the prediction quality subject to communication and mobility constraints either in a centralized or distributed manner. To solve such problems, fully Bayesian approaches are adopted, allowing various sources of uncertainties to be integrated into an inferential framework effectively capturing all aspects of variability involved.

RF and Microwave Module Level Design and Integration presents a thorough introduction to the basic elements of radio frequency (RF) and microwave modules, followed by a discussion of system-level concepts and measures that can be applied to real-world designs.