First Course

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First Course

When four life-altering catastrophes hit in just one day-including the loss of her parents in a tragic plane crash-twenty-four-year-old Janie Whitman retreats to her family's summer house in Cape Elizabeth, Maine. Here she tries to provide stability for her older sister Alyssa and two young nieces by cooking them amazing food. Through a mix-up with the alumni office at her parents' alma mater, Janie meets a young high school guidance counselor named Rocky at a volunteer event, and their fast-tracked romance helps Janie to see possibilities beyond the life she had known just a few weeks prior. But with her ex-boyfriend (and former boss) making overtures beyond her wildest dreams, as well as Alyssa's estranged husband willing to do whatever it takes to win her back, the Whitman sisters are faced with big decisions. Despite the obstacles in their way, when Janie and Alyssa are tasked with establishing a lasting memorial for their parents, they just might find the second acts they are seeking.
A First Course in Network Science

Author: Filippo Menczer
language: en
Publisher: Cambridge University Press
Release Date: 2020-01-30
Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.
A First Course in Information Theory

Author: Raymond W. Yeung
language: en
Publisher: Springer Science & Business Media
Release Date: 2002-04-30
An introduction to information theory for discrete random variables. Classical topics and fundamental tools are presented along with three selected advanced topics. Yeung (Chinese U. of Hong Kong) presents chapters on information measures, zero-error data compression, weak and strong typicality, the I-measure, Markov structures, channel capacity, rate distortion theory, Blahut-Arimoto algorithms, information inequalities, and Shannon-type inequalities. The advanced topics included are single-source network coding, multi-source network coding, and entropy and groups. Annotation copyrighted by Book News, Inc., Portland, OR.