170.03. Medical Imaging Informatics. (2 units) § Wi. Prerequisites: Previous courses in Principles of Magnetic Resonance or Magnetic Resonance Spectroscopy or consent of istructor. Restrictions: None Lecture 2 hours.
K. Young, N. Schuff
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. ( department: RADIOLOGY )
200. Introduction to Healthcare Informatics. (3 units) § Fa, Wi. Lecture 3 hours.
I. Sim
Introduction and overview of healthcare informatics focused on the building blocks for computer-based systems with specific examples, e.g., clinical information systems, educational technologies, telemedicine, digital libraries, simulation and modeling.
202. Decision Making in the Health Sciences. (3 units) § Wi, Sp. Prerequisites: At least one programming class, mathematical background through simple differential equations. Consent of instructor. Lecture 3 hours.
C. Hunt, D. Hudson, M. Cohen
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.
203. Biocomputing Algorithms. (2 units) § Wi. Prerequisites: Programming competence in a language, such as Python, C, C++, or Fortran. Students should also possess a basic knowledge of statistics (undergrad level). Restrictions: Required for BMI students. Open to all iPBQ students and bioengineering students. Others require instructor approval. Lect:1.5, Ind St:.75, Pjt: .75 3 hours.
A. Jain
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.
206. Introduction to Bioinformatics. (3 units) § Fa. Prerequisites: Upper division course work in biological sciences including knowledge of proteins and protein structure, computer literacy. Restrictions: None. Lecture 2 hours. Seminar 3 hours.
A. Sali, P. Babbitt, T. Kortemme
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. ( department: BIO THERAP )
209. Statistical Analysis of Microarray Data. (1 units) § Fa. Lecture 1 hours.
J. Fridlyand, M. Segal, R. Yeh
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.
219. Special Topics in Bioinformatics. (3 units) § Sp. Prerequisites: None. Restrictions: Priority given to first-year graduate students. Lecture 1 hours. Conference 2 hours. Independent study 3 hours.
Staff
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. ( department: BIO THERAP )
220. Informatics Seminar. (1 units) § Fa, Wi, Sp. Seminar 1 hours.
T. Ferrin
Presentation and discussion of bioinformatics and medical informatics research topics.
221. Informatics Rotation. (1-8 units) § Fa, Wi, Sp, SS1, SS2, SS3. Laboratory 3-24 hours.
Staff
An introduction to the specific research currently underway within a faculty member's laboratory.
222. Student Informatics Seminar. (1 units) § Fa, Wi, Sp. Seminar 2 hours. Library 1 hours.
T. Ferrin
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.
223. Critical Topics in Biomedical Informatics. (1 units) § Fa, Wi, Sp. Prerequisites: None. Restrictions: None. Seminar 3 hours.
T. Ferrin
Critical review of published scientific papers from scholarly journals, including comprehension, analysis and evaluation of published scientific data. ( department: BIO THERAP )
224. Graduate Research Opportunities Seminar. (1 units) § Fa, Wi. Restrictions: First year BMI students. Seminar 1 hours.
T. Ferrin
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.
225. Research Project. (1-8 units) § Fa, Wi, Sp, SS1, SS2, SS3. Restrictions: MS students only. Project 3-24 hours.
Staff
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.
250. Research. (1-8 units) § Fa, Wi, Sp, SS1, SS2, SS3. Project 3-24 hours.
Staff
For PhD students working with research advisor in preparation for oral qualifying exam.
280. Scientific Software Development. (1 units) § Sp. Prerequisites: None. Restrictions: None. Lecture 1 hours.
C. Huang, T. Ferrin
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%.
283. Information Technology and Organizational Change. (2-3 units) § Sp. Prerequisites: Consent of instructor. Laboratory 0-3 hours. Seminar 2 hours.
R. Miller
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.
299. Dissertation. (0 units) § Fa, Wi, Sp, SS1, SS2, SS3. Prerequisites: Advancement to candidacy. Restrictions: BMI students only.
Staff
For students advanced to candidacy working on their dissertation.
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