Expand your knowledge in math with these summer programs.
Penn State Abington: Mathematics Academic Prep Program Mathematics Academic Prep (MAP) is a non-credit Penn State summer class that can help prepare you for “math-heavy” majors such as Engineering, Information Sciences Technology and Science. This course covers topics commonly found in Algebra I, Algebra II and Trigonometry, and can prepare students for Calculus I. This course is designed for newly admitted Penn State students. Network with future peers in a hands-on team based learning environment, Experience the first year experience - prior to the first year, Acclimate yourself to Penn State Abington's campus before the beginning of the fall semester, Taught by top-level faculty, this affordable option can help you develop good study habits, test taking and note taking skills.
Penn State Abington: Math Options for Girls Do you have a unique interest in math and science? Did you ever wonder what an engineer or a biochemist does? Students are invited to participate in this uniquely designed program intended to help girls explore and experience the many different career choices available in fields involving science, technology, engineering, and math. Students will participate in hands-on activities and lab experiences led by instructors and professionals working in these high demand careers, as well as, prepare themselves to apply for these jobs in the future.
Wharton Moneyball Academy The hit movie Moneyball opened audiences’ eyes to the world of sports statistics. The Wharton Moneyball Academy lets students delve deeper into this fascinating realm, showing them how to turn simple data into deep discoveries that defy conventional wisdom. Hosted by the Wharton School of the University of Pennsylvania and the Wharton Sports Business Initiative (WSBI), the Moneyball Academy welcomes talented high school juniors and seniors intrigued by statistics. Moneyball is taught by Wharton faculty and graduate students. The program covers much of Wharton’s Statistics 101 course as well as many of its advanced level statistical courses. As you learn to read and write code in R (the powerful statistical programming language) and develop your key data analysis skills, you will be primed to be a leader in an increasingly data-driven economy.