Building Excellence in Science and Technology (BEST)
Keene State College is committed to providing living and learning experiences that help students to succeed during college, and for years to come. Research shows that living-learning communities, where students with similar academic interests are also connected through housing and extra-curricular interests, help students achieve success in college. Keene State has several existing living-learning communities that support students by linking them with faculty and other students, frequently building life-long friendships. By offering select living-learning communities to first-year students, Keene State also helps new students adjust as they make the transition into college life.
Starting in the 2015-16 school year, Keene State offered a living-learning community for first-year students who are interested in exploring majors in biology, mathematics, chemistry, computer science, geology or physics, called the BEST (Building Excellence in Science and Technology) Community. While students will take core classes together for their majors, they will also connect with students from a variety of other majors through classes taken to complete integrated studies requirements. First-year students are strongly encouraged to apply, as it will open up a range of opportunities, including priority for undergraduate research funds, and additional access to faculty, peer, and alumni mentors. The BEST Community will join other living-learning communities in one of the select residential life buildings on campus.
It is Easy to Apply for the BEST LLC!
When you fill out your housing application for Keene State College, select the BEST LLC as your top choice for on campus residency. We will choose 30 students for the LLC in the 2017-18 academic year and contact you if you have been selected. If you are selected, you will be automatically registered for the BEST Introductory Statistics course in the fall and the BEST Programming Foundations I course in the spring. Computer Science majors will enroll in CS-293 (Supervised Field Experience) in the spring and serve as peer-course assistants to the rest of the students. See course descriptions below.
Math-141: Introductory Statistics (4 credits): Basic tools of descriptive statistics, discrete probability, binomial distribution, normal distribution, t-distribution, estimates and sample sizes, hypothesis testing, elementary correlation and regression, contingency tables. Use of graphing calculator and spreadsheet software. Instructor: Dr. Karen Stanish
ISCS-140: Programming Foundations I (4 credits): Introduces students to fundamental computer science (CS) principles that help prepare students for successful careers in their chosen disciplines. Topics include: hardware & software fundamentals; algorithm development fundamentals; introduction to Java programming; control structures; construction of classes and methods; array processing; introduction to inheritance; interfaces. Instructor: Dr. Shari Bemis
CS-293: Supervised Field Experience (2 credits): Allows students to participate in field experience, combining theory with practice. Instructor: Dr. Shari Bemis
Do you have questions? Please contact Dr. Paul Baures, Professor of Chemistry, at firstname.lastname@example.org.