This course is designed to equip students with core concepts and fundamental skill sets needed for biomedical research. It combines traditional didactic lectures with small group and individual learning activities, problem solving exercises, workshops, and hands-on analyses of data sets. The course emphasizes the integration of topics spanning the fields of biochemistry, cell and molecular biology, and genetics.

CVRC Seminars

A series of joint lectures by basic and clinical scientists that focus on the clinical context of a specific biomedical problem and the contemporary research that has resulted in major advances and treatment of the disease. Students participate in workshops on grantsmanship with coincident feedback on student's specific aims from faculty experts.

The Research in Progress Colloquium is a series of research seminars and short talks by students in our combined M.D./Ph.D. Program. The major goals of the course are to familiarize students with key research areas of importance for training as physician scientists, and to develop the student's presentation skills. Students are required to give a minimum of one oral presentation per year to their fellow students and to selected faculty members who have expertise in the area of presentation. Students also are required to attend presentations of other students and to participate in group discussions. In addition to research presentations by students, there will also be presentations by faculty members in areas of significance for training of physician scientists. Grading (S/U) will be based on the quality of the students' presentation, as well as the extent of their participation in group discussions.

Students will learn the basic concepts, technology, and processes that guide the practical use of common statistical methods. The course introduces descriptive and inferential statistics and applications to real-world data. Students will reinforce learning with problem sets, a publicly sharable R portfolio, and a final project to achieve practical competence in the use of statistical software and interpretation of results.

The course will expand students' statistical programming skills to utilize disparate datasets to generate conclusions about complex questions. Students will reinforce learning with problem sets and assignments to achieve competence in the use of statistical software to clean and organize data and apply the correct statistical approach (ANOVA, Chi-Square, regression, multiple regression) to interpret results.

This course is for visiting research students participating in the BIMS Visiting Research Graduate Trianeeship Program (VRGTP). Students in this course are dual enrolled in their home institution and will participate in research for a minimum of 4 semesters. The research will assist them in completing their degree at their home institution. Non-degree students.

This course introduces students to biomedical research. Students conduct one or more research projects of limited scope under the direction of faculty and lab members. It is open only to graduate students in Biomedical Sciences (BIMS).