Catalog of Courses for Biomedical Sciences
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.
Beginning in 1989, the National Institutes of Health introduced a requirement that institutions provide a program of instruction in the responsible conduct of research (NIH Guide for Grants and Contracts, Volume 18, Number 45, 1989). This was later expanded to require that all fellows on NIH training grants should receive instruction in the responsible conduct of research. The requirement does not specify a particular format or curriculum. However, recommendations are made that several areas should be covered in the instruction: conflict of interest, responsible authorship, policies for handling misconduct, policies regarding the use of human and animal subjects, and data management. This course is designed to help student consider each of these areas and therein formulate an understanding of responsible conduct in research.
Each week, a UVA faculty member or guest lecturer will summarize current work in their area of research. The emphasis in these lectures will be on high-throughput genomic and bio-informatic approaches to elucidating the mechanisms of pathogenesis in human disease and disease models.
The course will cover human genetics and genomics, including the human/mammalian genome variation, determination of genomic variation on phenotype and disease risk, mapping and characterizing genetic variants on phenotype, determining the putative impact of genetic variants on gene expression (transcriptomics, epigenomics), the promise and implications of genome science on precision medicine and the ethical, legal & social implications.
This first course will cover vital information that will greatly facilitate students' scientific abilities and understanding with regards to interpreting data, testing hypotheses, and formulating theories - as well as assessing the science of others.
This second course focuses on generating data with common biological techniques and understanding the foibles of observation, assay development and scrutiny, and the effects of instrumentation.
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.
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.
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.
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.
A two to three month training experience at a biotechnology or pharmaceutical company. BTP or non-BTP students contribute to host company research projects, offer ideas and interact with company officials. Student performance is graded by the hosting company official using a standardized form (http://www.surveygizmo.com/s3/1742633/UVa-Biotech-Externship-Evaluation). Externship occurs within 2 years of entering the BTP.
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.
The Translational Science Course is designed to prepare graduate students to engage in cutting-edge basic science discovery; understand proof-of-concept research and industrial designed experiments; innovate and invent; create valuable intellectual properties; optimize patent enablements and claims; interact with regulatory agencies; champion entrepreneurship and commercialization activities; and enhance societal impact of basic research.
Navigating graduate school, the career exploration process, research environments, and the stress of life can seem overwhelming and lead us to doubt ourselves just when we need confidence the most. The goal of this course is to help students develop the tools for resilience that they need to navigate challenging situations in school, work, and life.
Students will conduct a research project where they learn how to apply computational/ bioinformatic tools to study globally prominent microbial pathogens. Experts on the topic provide guidance and feedback. It is required of all trainees in the Global Biothreats Training Program. Topics include identifying and predicting microbial variants and virulence factors, and modeling epidemic spread through a population of differing susceptibilities.
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).
Preparation for Doctoral Research prior to completion of candidacy examination.
For doctoral dissertation following advancement to PhD candidacy.
This course will cover basic principles and current research topics concerning neural development and regeneration. Sections will focus on gene regulatory and signal transduction networks involved in early neural development and later events refining regional specificity within the brain. Topics will include neuronal plasticity, neural stem cells, developmentally-based neuronal diseases, and issues concerning regeneration of the nervous system.
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.
Beginning in 1989, the National Institutes of Health introduced a requirement that institutions provide a program of instruction in the responsible conduct of research (NIH Guide for Grants and Contracts, Volume 18, Number 45, 1989). This was later expanded to require that all fellows on NIH training grants should receive instruction in the responsible conduct of research. The requirement does not specify a particular format or curriculum. However, recommendations are made that several areas should be covered in the instruction: conflict of interest, responsible authorship, policies for handling misconduct, policies regarding the use of human and animal subjects, and data management. This course is designed to help student consider each of these areas and therein formulate an understanding of responsible conduct in research.
Each week, a UVA faculty member or guest lecturer will summarize current work in their area of research. The emphasis in these lectures will be on high-throughput genomic and bio-informatic approaches to elucidating the mechanisms of pathogenesis in human disease and disease models.
This first course will cover vital information that will greatly facilitate students' scientific abilities and understanding with regards to interpreting data, testing hypotheses, and formulating theories - as well as assessing the science of others.
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.
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.
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.
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 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).
Preparation for Doctoral Research prior to completion of candidacy examination.
For doctoral dissertation following advancement to PhD candidacy.
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.