Bryn Mawr College
Summer School 2015
Summer Course Offerings

Click here to access the Summer School home page
Click here to access the Registration, Tuition, and Fees page

The following courses are offered for summer 2015.

SUMMER SCHOOL (May 28-July 1)

BIOCHEMISTRY 354 - Topics in Biochemistry - Lecture only

This seminar-style course will emphasize fundamental biochemistry concepts including protein structure, enzyme catalysis, metabolism, and metabolic regulation. Topics include: thermodynamics, amino acids, protein structure, protein folding & function, enzymes kinetics, cellular respiration, fates of glucose, glycogen metabolism, gluconeogenesis, lipid metabolism, and the regulation of metabolic processes, especially in humans. In addition, there will be a focus on reading the primary scientific literature, analyzing data, and applying the fundamentals of biochemistry to specific topics to be chosen by the class. Topics covered in the past have included tumor metabolism, antiviral drugs, glycogen storage diseases, channelopathies, thalassemias, chaperones, etc. Students will be evaluated on problem sets, exams, class participation and a final project.

Prerequisites: 2 semesters of general chemistry, introductory biology, and at least one semester of organic chemistry. To ensure that you have sufficient background, students outside of the Bryn Mawr postbaccalaureate program will need to be approved for the course based on review of your transcript (which will take approximately two weeks).

Lecture: M, W, Th 9:00 am-noon
(Except for the first week when classes will be held on Thursday May 28 and Friday May 29 due to the Memorial Day holiday.)

MATH 104 Basic Probability and Statistics

This course introduces students to key concepts in both descriptive and inferential statistics. Students learn how to collect, describe, display, and interpret both raw and summarized data in meaningful ways. Topics include summary statistics, graphical displays, correlation, regression, probability, the law of averages, expected value, standard error, the central limit theorem, hypothesis testing, sampling procedures, and bias. Students learn to use statistical software to summarize, present, and interpret data. This course may not be taken after any other statistics course.

Lecture: M, W, Th 1:00 pm-4:00 pm
(Except for the first week when classes will be held on Thursday May 28 and Friday May 29 due to the Memorial Day holiday.)