College education is one of the most important investments a family will make. But between the viewbooks, websites, insider gossip, and magazine rankings, students and their worried parents face a dizzying array of options. What do the rankings really mean? Is it wise to choose the most prestigious school a student can get into? What are the payoffs of higher education, and, by the way, how do we pay for them?
In a unique approach to these conundrums, an economist and award-winning teacher walks readers through the opportunities, risks, and rewards of heading off to college. Warning against the pitfalls of numerical rankings, Malcolm Getz poses questions to guide a student toward not necessarily the best college but the right one. Famous professors suggest quality--but do they teach undergraduates? Are smaller classes always better? When is a state university the best deal around?
In a concise overview of decades of research, Getz reviews findings on the long-term returns of college education in different careers, from law to engineering, from nursing to financial management. Sorting through personal, professional, and institutional variables, he helps families determine when paying $40,000 a year might make sense, and when it merely buys an expensive rear window decal. He breaks down the formidable admissions game into strategies to improve the odds of acceptance, and he offers tips on tax breaks, subsidized loans, federal grants, 529 accounts, merit scholarships, and much more.
Shrewd and sensible, Investing in College is an invaluable resource and a beacon of sanity for college-bound students and the families who support them.
Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social sciences. But students in these disciplines often seriously lack the tools to understand them. A primer on behavioral modeling that includes both mathematics and evolutionary theory, Mathematical Models of Social Evolution aims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field.
Teaching biological concepts from which models can be developed, Richard McElreath and Robert Boyd introduce readers to many of the typical mathematical tools that are used to analyze evolutionary models and end each chapter with a set of problems that draw upon these techniques. Mathematical Models of Social Evolution equips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends. Ultimately, McElreath and Boyd’s goal is to impart the fundamental concepts that underlie modern biological understandings of the evolution of behavior so that readers will be able to more fully appreciate journal articles and scientific literature, and start building models of their own.
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