Mini-Courses - Spring 2015
- Spring Mini-Course Flyer (PDF)
- Full Year Mini-Course Flyer (PDF)
These intensive 1-3 week courses allow students to tailor their education across disciplines without requiring a full quarter's commitment and are open to postdocs. Students and Postdocs explore new directions for current research, potential postdoctoral avenues, or just topics of interest. Stanford Biosciences students and postdocs have highlighted these offerings as among the most exciting parts of their education, for the way in which they catalyze their research and open new paths.
If you don't have units available (3 units max for TGR students, 10 units max for non-TGR students), see your Student Services Administrator (SSA) or Julianna Prieto for help registering. For other eligibility and tuition questions please contact your SSA.
Please note, for Post Doctoral registration interest in any one of these mini courses please visit the designated Postdoc Registration link to apply. For most courses, it is first come first serve, however, applying is not a confirmation of enrollment or to attend the class. You will receive a separate email of your admittance once the selection process has been completed and if space permits. If admitted, you must attend all days of the course. There is no fee to take these courses.
Flexible registration deadlines apply, however, space is limited and enrollment is capped so please attempt to enroll or apply by normal student registration deadlines. Post Doc registration opens February 9th at 8AM. For other questions please visit our mini course FAQ page.
| Course | Description | Date & Time |
|---|---|---|
| Bios 204 | Practical Tutorial on the Modeling of Signal Transduction MotifsBasics of ordinary differential equation modeling of signal transduction motifs, small circuits of regulatory proteins and genes that serve as building blocks of complex regulatory circuits. Instructor: James Ferrell MD PhD |
6/1 - 6/12 • M Tu W Th F |
| Course | Description | Date & Time |
| Bios 201 | Next Generation Sequencing and ApplicationsUsher in the golden age of biological discovery with next generation sequencing (NGS) through its wide spectrum of applications. Modules include general introduction of Next Generation Sequencing (NGS) technologies, applications of these sequencing technologies, caveats and comparisons with previous approaches, analysis and interpretation of sequencing data, principles of tools and resources and practical ways to utilize them. Instructors: Jin Billy Li PhD, William Greenleaf PhD, Stephen Montgomery PhD, Alex Urban PhD |
5/27 - 6/12 • M W F |
| Bios 205 | Introductory Data Analysis in R for Biomedical StudentsTopics include the basics of R programming language and data structures, reading/writing files, graphics tools for figure generation, basic statistical and regression operations, survey of relevant R library packages. Interactive format combining lectures and computer lab. Instructor: Steven Bagley MD |
5/27 - 6/12 • M W F |
| Bios 208 | Computational Protein Structure Modeling (CANCELLED)Concepts, workflow, and methodology of protein structure modeling presented through short lectures followed by hands-on exercises with the Rosetta software package. Instructors: Frank Cochran PhD, Rhiju Das PhD |
5/27 - 6/12 • M W F |
| Bios 211 | Histology for BiosciencesFundamentals of tissue organization as seen by light microscopy. Includes: epithelium, connective tissue, muscle, bone, cartilage, blood cells, nerve, and quick overview of several major organs. Instructor: Andrew Connolly MD PhD Student Registration | Postdoc Registration (limited capacity, by application) |
5/26 - 6/11 • Tu Th |
| Bios 213 | Scientific Illustration and AnimationTechniques of presenting big picture ideas and detailed experiments as simple cartoons. Mixed lecture/lab course culminates with students producing figures and animations for an introduction/conclusion of a research presentation. *1 week course. Please note change from poster. Instructor: David Schneider PhD |
6/1 - 6/5 • M Tu W Th F |
| Bios 230 | Biomedical Data Analysis in MATLABThe course aims to equip the biomedical scientist or engineer with the computational tools to analyze their data at a basic-to-intermediate level. MATLAB-based implementations of algorithms from linear systems theory, differential equations (ordinary/partial), digital image processing and parameter estimation will be taught; however, emphasis will be laid on applications to biomedicine. Instructors: Markus Convert PhD, Nimit Jain |
5/26 - 6/12 • M T Th |
| Bios 231 | Neuroimaging Genomics - COURSE CANCELEDThis course will cover the fundamentals of major single-molecule manipulation methods (optical tweezers, magnetic tweezers, and atomic force microscopy), principles of force measurement signal and noise, and applications to studies of folding, binding, polymer elasticity, and structural transitions in proteins and nucleic acids. Instructors: Vanessa Sochat, Dennis Wall PhD |
5/27 - 6/12 • M W F |
| Bios 235 | Metabolism and Metabolic Ecology: Microbes, Gut and CancerCourse on modern aspects of metabolism and metabolic biochemistry as it affects fitness and ecology of cells and organisms on a systems level. Students will obtain a broad understanding of the governing principles and logic of metabolic pathways and their networks. Instructor: Alfred Spormann PhD |
6/1 - 6/12 • M T W Th F |
| Bios 236 | Developmental Biology in the Ocean: Comparative Embryology and Larval DevelopmentCourse allows students to immerse themselves in the embryology and larval development a broad range of marine invertebrate phyla. The goal of the course is to give students an appreciation of the range of developmental strategies and larval forms in the ocean and why this is critical for constructing hypotheses of EvoDevo and animal evolution. Housing is provided. Instructors: Nat Clarke, Chris Lowe PhD Student Registration | Postdoc Registration (limited capacity, by application) for more information contact clarken@stanford.edu. |
5/26 - 6/12 • M T W Th F |
