Maths for Social Sciences
اسفند ۲۰۱۸ · UNITEXT کتاب 113 · Springer
ای-کتاب
347
صفحه‌ها
reportرده‌بندی‌ها و مرورها به‌تأیید نمی‌رسند. بیشتر بدانید
درباره این ای-کتاب
This book is aimed at students in social sciences programs that include some course in quantitative methods. Stats for social sciences is frequently the subject of textbooks, while maths for social sciences is often neglected: monographs on specific themes (like, for instance, social choice systems or game theory applications) are available, but they do not adequately cover the topic in general. This textbook stems from the Bocconi University’s new "Bachelor in Government", which was launched in 2015, and is intended for undergraduate students who do not exclude maths from their toolbox. It discusses various concrete applications in political economics, political science, sociology, and demography and explores topics like Grexit, Macron’s success, immigration effects and the Arab Spring.
درباره نویسنده
Lorenzo Peccati (1944-) is an Emeritus Professor of Mathematics at Bocconi University. He was the Editor of the European Journal of Operational Research for 10 years. He has authored over 140 publications in national and international journals as well as several books.
Mauro D'Amico (1963-) is an instructor in Mathematics at Bocconi University. He has extensive experience in teaching both university and in business school courses. In addition, he has written several textbooks in Italian.
Margherita Cigola (1961-) is an Associate Professor of Mathematics at Bocconi University. Her research focuses on optimization theory, and she has extensive experience in teaching applied mathematics.
Mauro D'Amico (1963-) is an instructor in Mathematics at Bocconi University. He has extensive experience in teaching both university and in business school courses. In addition, he has written several textbooks in Italian.
Margherita Cigola (1961-) is an Associate Professor of Mathematics at Bocconi University. Her research focuses on optimization theory, and she has extensive experience in teaching applied mathematics.
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