212 Deep Learning for Biological and Clinical Research (5 units) Winter
Course will not be offered in: Winter 2025
Instructor(s): R. Abbasi Asl Prerequisite(s): Experience with numerical computation in Python is required.
Restrictions: None. Activities: Direct - Lecture, Direct - Seminar, Direct - Discussion, Student - Lecture, Student - Seminar, Student - Project
This course will establish the foundations of deep learning through lectures, weekly seminars, and a hands-on approach in Python. We will cover the basics of regression and classification, model optimization, and neural network architectures, including autoencoders, convolutional networks, and transformers, with the use cases of these models in biological and clinical research. This is the same class as BMI 212. Students should ensure they are registering for the right course number.
215 Laboratory Rotation (1 - 8 units) Fall, Winter, Spring, Summer
Instructor(s): Staff Prerequisite(s): Consent of instructor and Bioengineering Graduate Advisor.
Restrictions: Graduate students in Bioengineering. Activities: Direct - Lab-Science
Laboratory research rotations are to allow students to become familiar with different areas of research, learn new experimental techniques, obtain experiences in unique research laboratories, and ultimately to identify a lab in which to conduct dissertation research. Rotation projects should involve hands-on research and be a piece of work that the student can present at the end of the rotation.
221 Tissue Mechanobiology (2.5 - 3 units) Winter
Instructor(s): J. Lotz, T. Alliston, V. Weaver
Restrictions: None Activities: Direct - Lecture, Direct - Independent Study, Student - Lecture
A central role for many tissues is to support physical forces (tension, compression, shear, pressure). This course will introduce the mechanisms by which cells respond to load; how these mechanisms are relevant to normal function & disease etiology; progression; prevention & treatment; an overview of tissue mechanics (relationships between force, stress/strain), mechanisms of cell/matrix interactions, examples of tissue modeling & remodeling in response to physical stimuli.
240 Principles of Magnetic Resonance Imaging (4 units) Fall
Instructor(s): P. Larson Prerequisite(s): None
Restrictions: Not open to students who have passed BIOMED IMG 201. If not enrolled in Master's of Science in Biomedical Imaging (MSBI) program then students must obtain instructor approval. Activities: Direct - Lecture, Student - Lecture
This introductory course aims to teach the basic principles behind magnetic resonance imaging (MRI). It will cover the physical principles of magnetic resonance, image formation, and image reconstruction, MRI hardware, contrast generation, and common artifacts. Cross-listed with BIOMED IMG 201.
241 Metabolism and Magnetic Resonance Spectroscopy (3 units) Winter
Instructor(s): J. Kurhanewicz Prerequisite(s): Bioengineering 240 or Biomedical Imaging 201
Restrictions: none Activities: Direct - Lecture, Direct - Lab-Science, Direct - Discussion, Student - Lecture, Student - Lab-Science
This course is designed to follow Bioengineering 240 or Biomedical Imaging 201, Magnetic Resonance Imaging. It will build on the fundamental aspects of magnetic resonance physics presented in the first course, but will focus on MR spectroscopy which provides metabolic and biochemical information. The course will cover basic theory, underlying biochemistry and physiology, techniques for acquiring and processing MR spectroscopic data, and biomedical applications for this emerging medical modality.
245 Machine Learning Algorithms for Medical Imaging (3 - 4 units) Spring
Instructor(s): S. Nagarajan, Y. Yang, A. Raj Prerequisite(s): Calculus, linear algebra, undergraduate physics (electromagnetism), or consent of instructor.
Restrictions: None. Activities: Direct - Lecture, Direct - Seminar, Direct - Project, Direct - Discussion, Student - Lecture, Student - Seminar, Student - Project, Student - Independent Study, Student - Discussion
The goal of this course is for students to understand various machine learning algorithms that are used in brain imaging, and to gain hands-on experience using them in student projects, homework, and student-driven class-presentations. Common machine learning algorithms used for MRI, fMRI, EEG, MEG, and ECOG, will be the focus of the course.
249 Group Studies (1 - 8 units) Fall, Winter, Spring
Instructor(s): Staff Prerequisite(s): Graduate standing
Restrictions: None Activities: Direct - Seminar, Direct - Project, Direct - Conference, Student - Seminar, Student - Project
Advanced study in various subjects through seminars on topics to be selected each year, informal group studies of special problems, group participation in comprehensive design problems, or group research on complete problems for analysis and experimentation.
250 Research (1 - 8 units) Fall, Winter, Spring, Summer
Instructor(s): Staff Prerequisite(s): Graduate standing
Restrictions: none Activities: Direct - Lab-Science
In this course, students will work together with a primary research advisor to select a research question and design a project plan that will be carried out by the student. Through this experience, the student will gain experience in research strategy and execution, as well as experimental techniques and analysis and interpretation of results. At the conclusion of this course, the student will present on their progress.
260 Translational Challenges in Medicine (1 units) Fall
Instructor(s): M. Shuman Prerequisite(s): none
Restrictions: none Activities: Direct - Lecture, Student - Lecture
This course focuses on solutions to challenges in the diagnosis and treatment of diseases of the eye, hereditary disorders and cancer. Lecturers with diverse skills discuss their experience in navigating this process. They have successfully solved challenges in their fields that led to commercialization. They will cover technical and scientific limitations and opportunities for advances with inventions in biomarker development and technology for delivery of new types of treatment.
270 Translational Challenges: Diagnostics, Devices &Therapeutics (2 units) Winter
Instructor(s): S. Roy
Restrictions: None Activities: Direct - Lecture, Student - Lecture
This course covers a broad range of topics in the development and operation of medical diagnostics, devices, and therapeutics and combines lectures, readings, case studies, and class discussion. It will feature regular UCSF faculty as well as industry professionals.
280 What, Why, and How of Medical Devices by Clinicians (1 units) Winter, Spring
Instructor(s): H. Lee Prerequisite(s): Consent of instructor.
Restrictions: None Activities: Direct - Lecture, Student - Lecture
The goal of this course is to give students interested in medical device innovation an introduction to the workings of the health system. Learners will explore the structure of hospital systems and distinguish stakeholders and their roles. By learning how different players put medical technology to use, students will learn to identify gaps and unresolved needs.
281 Biological Aspects of Bioengineering (1 units) Fall
Instructor(s): A. Abate Prerequisite(s): None.
Restrictions: Graduate standing. Activities: Direct - Lecture, Student - Lecture
The objective of this course is to introduce students to the broad range of bioengineering research that is associated with biological applications. Students will be exposed to problems in cellular and molecular engineering, tissue engineering and modeling neural and complex systems. Each session will involve presentations from invited faculty members of specific areas of research.
283 Designing Clinical Research for Industry (2 units) Spring
Instructor(s): S. Roy Prerequisite(s): Graduate standing
Restrictions: Instructor approval required. Activities: Direct - Lecture, Student - Lecture
Introduces students to the strategies applied to clinical study design for a variety of medical technologies. Main elements of a clinical protocol such as objectives, study design, patient population, sample size and endpoints will be taught in context of company value creation and risk reduction. Students will receive an overview on the regulatory requirements associated with conducting clinical trials for medical technologies. Course will be taught by industry experts.
285 Health Care Finance & Economics (2 units) Fall
Instructor(s): J. Spetz Prerequisite(s): None.
Restrictions: None. Activities: Direct - Lecture, Direct - Project, Direct - Discussion, Student - Lecture, Student - Project, Student - Discussion, Asynchronous - Lecture
This course focuses on how current health care financing systems and emerging trends affect strategic technology development and market decisions. This course is designed so students understand the underlying drivers of rising health spending, the policies that might slow it, and the impact of possible policies on future product markets. The course covers the fundamental components of health economics, financial analysis, and strategies to increase health care value.
296 MTM Capstone Project (UCSF) (3 units) Fall, Winter, Spring
Instructor(s): S. Roy Prerequisite(s): None
Restrictions: This course is restricted to MTM program students. Activities: Direct - Lecture, Direct - Project, Student - Lecture, Student - Project
The objective of the MTM program is to develop leaders who can synthesize the technical, economic, and social issues involved in the design and operation of complex medical devices, systems, and organizations. Students will develop and demonstrate these skills through the capstone project and course activities. This course combines classroom instruction with outside project work. In addition to lecture, teams meet with outside mentors and develop project.
297 Special Study (1 - 8 units) Fall, Winter, Spring
Instructor(s): Staff Prerequisite(s): None
Restrictions: None Activities: Direct - Seminar, Direct - Project, Direct - Conference, Student - Seminar, Student - Project
Reading and conferences for properly qualified students under the direction of a member of the staff.
298 Master's Thesis for Bioengineering (1 - 8 units) Fall, Winter, Spring, Summer
Instructor(s): Staff Prerequisite(s): Advancement to candidacy and permission of the graduate adviser
Restrictions: none Activities: Direct - Project
For graduate students engaged in writing the thesis for the master's degree.
299 Dissertation (0 units) Fall, Winter, Spring
Instructor(s): Staff Prerequisite(s): Advancement to candidacy and permission of the graduate adviser
Restrictions: Course is limited to students who have completed their fieldwork and are in the dissertation writing phase of their degree. Activities: Direct - Independent Study
This course is for students who have finished research and data collection, and are writing their dissertation. It is customized by the instructor for each student(s), depending upon their exact dissertation topic.