Language : English
Published : 2019-07-15
Pages : 456
Microsoft Office 365 & Word 2019 Comprehensive
Now students can master the nuances of Microsoft Office quickly with ILLUSTRATED MICROSOFT OFFICE 365 & WORD 2019 COMPREHENSIVE, part of today’s popular Illustrated Series. This focused, user-friendly approach uses a proven two-page layout that allows students to work through an entire task without turning the page. Clear Learning Outcomes outline the skills for each lesson, while large full-color screen images reflect exactly what students see on their own computers. Each module begins with a brief overview of the principles covered in the lesson and introduces a real-world case scenario to engage students and reinforce critical skills to make them successful in their educational and professional careers. In addition, MindTap and updated SAM (Skills Assessment Manager) online resources are available to guide additional study and ensure successful results.
Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in developing and testing better models of natural evolutionary systems, and by artificial life scientists for designing and implementing new artificial evolutionary worlds. In this clear and comprehensive introduction to the field, Kenneth De Jong presents an integrated view of the state of the art in evolutionary computation. Although other books have described such particular areas of the field as genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, Evolutionary Computation is noteworthy for considering these systems as specific instances of a more general class of evolutionary algorithms. This useful overview of a fragmented field is suitable for classroom use or as a reference for computer scientists and engineers.
This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.
August 6, 2009 Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age. Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.
Developed as the text for the basic computer architecture course at MIT, this book integrates a thorough coverage of digital logic design with a comprehensive presentation of computer architecture. It spans the entire range of topics from analog circuit design to operating systems. The authors seek to demystify the construction of computing hardware by illustrating systematically how it is built up from digital circuits through higher-level components to processors and memories, and how its design is affected by its intended uses. “Computation Structures” is unusually broad in scope, considering many real-world problems and trade-off decisions faced by practicing engineers. These difficult choices are confronted and given careful attention throughout the book. Topics addressed include the digital abstraction; digital representations and notation; combinational devices and circuits; sequence and state; synthesis of digital systems; finite state machines; control structures and disciplines; performance measures and trade offs; communication; interpretation; micro-interpreter architecture; microprogramming and microcode; single sequence machines; stack architectures; register architectures; reduced instruction set computers; memory architectures; processes and processor multiplexing; process synchronization; interrupts, priorities, and real time; directions and trends.