Franklin University Switzerland is a small, international university located in the southern Swiss city of Lugano. Founded in 1969, Franklin was among the first institutions to bring American Liberal Arts education to Europe, and it is the only liberal arts university in the world accredited in the United States and Switzerland. It is the only university in the world that offers interdisciplinary, experiential learning, placing Academic Travel at the core of its curriculum.
Work directly with our Admissions representatives to find out what makes a Franklin education unique, complete the application process and determine your eligibility for merit or need-based financial aid. See our travel schedule to find out when a representative will be in your area or better yet, schedule a campus visit and come see for yourself.
Regardless of the program, your education at Franklin will be rigorous, academic and professional, with a focus on cross-cultural study and learning through direct experience. Our curriculum encourages multi-disciplinary study, and our Academic Travel program, included in tuition, provides an off-campus study opportunity for two weeks every semester.
Students at Franklin come from over 50 countries. Interacting with students from other traditions and cultures makes social life a part of the Franklin learning experience. Activities, on-campus housing and dining, and a strong support network help you to build lasting relationships with your peers and provide everything you need to be successful in your studies.
Franklin students, faculty and staff are active and involved in many academic and social initiatives. Our calendar is full of events organized by faculty and students for learning and interaction that go beyond the classroom environment. Take a few minutes to read our stories and find out how our students and faculty are succeeding in their endeavors all over the world.
Franklin offers a wide range of services for students, faculty, staff and friends to support life, work and learning on campus. Making use of these services will give you the tools you need to be successful both in and out of the classroom.
An introduction to the biological sciences. Topics include the principles of genetics, evolutionary theory, ecology, and conservation biology. Students enrolling in this course must enroll in the parallel laboratory section BIO 101L.
This case study based course serves as the bridge experience for students completing their introductory course requirements for the ESS major or the ENV minor and who are now moving into the upper-level courses (However it is open to all interested students meeting the prerequisite). Through detailed examination of several case studies at the local, regional, and global levels, students synthesize material from introductory level courses to explore the interdisciplinary nature of today’s environmental issues. They examine what different disciplines offer to our understanding of and attempt to solve these issues.
The course exposes students to a range of quantitative methods used in the environmental sciences. It will introduce students to the science of geographic information systems (GIS) and their use in understanding and analyzing environmental issues. Students will gain hands-on experience with GIS software. This course will also examine statistical methods commonly applied in quantitative environmental research. It assumes students already possess a background in statistics and environmental science.
This computer-based course presents the main concepts in Statistics: the concept of random variables, frequency, and probability distributions, variance and standard deviation, kurtosis and skewness, probability rules, Bayes theorem, and posterior probabilities. Important statistical methods like Contingency analysis, ANOVA, and Correlation analysis are introduced and their algorithms. The most important probability distributions are introduced: Binomial, Poisson, and Normal distribution, as well as the Chebyshev theorem for non-known distributions. Inferential statistics, sampling distributions, and confidence intervals are covered to introduce statistical model building and single linear regression. Active learning and algorithmic learning are stressed.
Emphasis is put both on algorithms – methods and assumptions for their applications. Excel is used while calculators with STAT buttons are not permitted. Ultimately students are required to make a month-long research project, select the theoretical concept they want to test, perform a literature review, find real data from Internet databases or make their surveys, apply methods they studied in the class, and compare theoretical results with their findings. Research is done and presented in groups, papers are Individual. Selected SPSS, STATA or Excel Data Analysis examples are also provided.
Students must complete one of the above requirements with an Academic Travel course in ENV.
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