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| 170.03 |
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Medical Imaging Informatics |
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(2 units) |
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Winter |
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Instructor(s): K. Young, N. Schuff Prerequisite(s): Previous courses in Principles of Magnetic Resonance or Magnetic Resonance Spectroscopy or consent of istructor. |
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Restrictions: None
Activities:
Lecture: 2 hours
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This course will focus on teaching modern techniques for the analysis of multi-parametric medical imaging data, including structural, functional, and spectroscopic imaging. The objective is to introduce students to modern methods for processing and analysis of large volumes of heterogeneous data with a specific focus on MRI data. (RADIOLOGY) |
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| 202 |
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Decision Making in the Health Sciences |
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(3 units) |
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Winter |
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Instructor(s): D. Hudson, M. Cohen Prerequisite(s): At least one programming class, mathematical background through simple differential equations. Consent of instructor. |
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Activities:
Lecture: 3 hours
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Introduction to principles and techniques for computer-assisted decision making in the health sciences. Topics include rules-based systems, neural networks and other statistical approaches to decision support. (BIO MD INF) |
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| 203 |
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Biocomputing Algorithms |
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(3 units) |
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Winter |
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Instructor(s): A. Jain Prerequisite(s): Students are expected to have programming competence in a language such as Python, C, C++, or Fortran. Students should also posses a basic knowledge of statistics (undergrad. level). |
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Restrictions: For all iPQB students and Bioengineering students. Others require instructor approval.
Activities:
Lecture: 2 hours, Laboratory: 1 hours, Project: 0.5 - 1 hours, Independent Study: 0.5 hours
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Introduction to computational issues and methods used in the field of bioinformatics and computational biology. This course emphasizes the implementation, analysis, and validation of methods. It is about attacking computational problems in biology, not expert use of existing tools. Areas addressed include analytical thinking, problem decomposition, and algorithm design and implementation. Assignments will focus on the design and implementation of key bioinformatics algorithms. (BIO MD INF) |
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| 206 |
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Introduction to Bioinformatics |
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(3 units) |
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Fall |
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Instructor(s): P. Babbitt, T. Kortemme, A. Sali Prerequisite(s): Upper division course work in biological sciences including knowledge of proteins and protein structure, computer literacy. |
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Restrictions: None.
Activities:
Lecture: 2 hours, Seminar: 3 hours
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Broad survey of bioinformatics with accompanying assignments. Topics covered include genomics, database searching, family/super-family analysis, structural genomics, complex systems, genetic circuits, and protein-protein interactions. (BIO THERAP) |
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| 207 |
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Statistics |
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(2.0 units) |
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Winter |
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Instructor(s): J. Song Prerequisite(s): Linear algebra and calculus. |
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Restrictions: None
Activities:
Lecture: 15 hours, Independent Study: 15 hours
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This course will introduce basic probability theory and fundamental ideas in statistics. It will cover probability distributions, random variables, Monte Carlo techniques, Markov processes, parametric and non-parametric statistical tests, and linear models. Examples will be drawn from genomics. Familiarity with linear algebra and calculus will be assumed. (PHARM CHEM) |
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| 209 |
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Statistical Analysis of Microarray Data |
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(1 units) |
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Spring |
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Instructor(s): M. Segal  |
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Activities:
Lecture: 1 hours
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This course offers students a series of weekly lectures detailing methods for the analysis of microarray data. After reviewing microarray technology, a range of statistical techniques corresponding to frequently encountered research questions and study design are illustrated and evaluated. Tools for effecting such analyses are also described. (PHARM CHEM) |
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| 219 |
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Special Topics in Bioinformatics |
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(3 units) |
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Spring |
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Instructor(s): Staff Prerequisite(s): None. |
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Restrictions: Priority given to first-year graduate students.
Activities:
Lecture: 1 hours, Conference: 2 hours, Independent Study: 3 hours
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Each course offering will focus on the literature of a current important area of Bioinformatics. Students will be expected to read assigned papers critically before class and to present and discuss papers in class. Students will also be expected to write and present a brief research proposal based upon their reading. Topics in Molecular, Cellular, developmental, systems, and computation biology will be covered in separate course offerings. (BIO THERAP) |
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| 220 |
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Informatics Seminar |
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(1 units) |
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Fall, Winter, Spring |
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Instructor(s): T. Ferrin  |
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Activities:
Seminar: 1 hours
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Presentation and discussion of bioinformatics and medical informatics research topics. (BIO MD INF) |
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| 221 |
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Informatics Rotation |
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(1 - 8 units) |
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Fall, Winter, Spring, Summer |
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Instructor(s): Staff  |
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Activities:
Laboratory: 3 - 24 hours
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An introduction to the specific research currently underway within a faculty member's laboratory. (BIO MD INF) |
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| 222 |
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Student Informatics Seminar |
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(1 units) |
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Fall, Winter, Spring |
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Instructor(s): T. Ferrin  |
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Activities:
Seminar: 2 hours, Library: 1 hours
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This course gives students the opportunity to develop and polish their presentation and research skills. All second year and above BMI students present their research to other students, postdocs and faculty. Their presentations are critically evaluated and they are provided with constructive feedback regarding their discussion topic and presentation skills. (BIO MD INF) |
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| 223 |
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Critical Topics in Biomedical Informatics |
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(1 units) |
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Fall, Winter, Spring |
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Instructor(s): T. Ferrin Prerequisite(s): None. |
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Restrictions: None.
Activities:
Seminar: 3 hours
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Critical review of published scientific papers from scholarly journals, including comprehension, analysis and evaluation of published scientific data. (BIO THERAP) |
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| 224 |
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Graduate Research Opportunities Seminar |
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(1 units) |
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Fall, Winter |
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Instructor(s): T. Ferrin  |
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Restrictions: First year BMI students.
Activities:
Seminar: 1 hours
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This course offers 1st year students a series of weekley presentations of the research interests of the BMI basic science faculty. The purpose is to acquaint new graduate students with research projects and opportunities in faculty labs. The course is modeled after PSPG 225 A&B. (BIO MD INF) |
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| 225 |
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Research Project |
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(1 - 8 units) |
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Fall, Winter, Spring, Summer |
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Instructor(s): Staff  |
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Restrictions: MS students only.
Activities:
Project: 3 - 24 hours
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A significant, planned, indepndent research project in collaboration with research advisor, and designed to make a practical contribution to the field of informatics. Final report fulfills requirement for MS degree. (BIO MD INF) |
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| 250 |
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Research |
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(1 - 8 units) |
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Fall, Winter, Spring, Summer |
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Instructor(s): Staff  |
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Activities:
Project: 3 - 24 hours
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For PhD students working with research advisor in preparation for oral qualifying exam. (BIO MD INF) |
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| 280 |
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Scientific Software Development |
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(1 units) |
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Spring |
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Instructor(s): T. Ferrin, C. Huang Prerequisite(s): None. |
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Restrictions: None.
Activities:
Lecture: 1 hours
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This course is an intensive introduction to basic software development practices for scientists and engineers. The goal is to provide scientists with the skills needed to create more reliable and maintainable programs while reducing the time spent on programming by 20-25%. (BIO MD INF) |
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| 283 |
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Information Technology and Organizational Change |
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(2 - 3 units) |
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§
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Spring |
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Instructor(s): R. Miller Prerequisite(s): Consent of instructor. |
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Activities:
Laboratory: 0 - 3 hours, Seminar: 2 hours
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Course examines information technology (IT) in health care organizations, with a focus on electronic medical records. Course covers potential for IT to improve quality; economics of IT in health care; main theories of diffusion of innovations; alternative theories of the interrelationship between IT, behavior, process change, and organizational changes; and alternative policy approaches to hasten IT adoption in health care. Cross-listed with Sociology. (BIO MD INF) |
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| 299 |
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Dissertation |
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(0 units) |
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Fall, Winter, Spring, Summer |
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Instructor(s): Staff Prerequisite(s): Advancement to candidacy. |
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Restrictions: BMI students only.
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For students advanced to candidacy working on their dissertation. (BIO MD INF) |
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