Harvard University · edX
Data Science: R Basics
4.4273 ratingsBuild a foundation in R and learn how to wrangle, analyze, and visualize data.
Magnetic Resonance Analytic, Biochemical, and Imaging Techniques
Overview
This course is an introduction to basic NMR theory. Examples of biochemical data obtained using NMR are summarized along with other related experiments. Students participate in detailed study of NMR imaging techniques, including discussions of basic cross-sectional image reconstruction, image contrast, flow and real-time imaging, and hardware design considerations. Exposure to laboratory NMR spectroscopic and imaging equipment is included.
Skills you'll practise
Advantages and disadvantages
Advantages
- The real MIT course: lecture notes, problem sets and exams, often with solutions.
- Free, with no sign-up or deadlines.
- Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
- Completely free.
- Self-paced: start any time.
Disadvantages
- No certificate, no grading and no forum: you need to be self-driven.
- Many courses are recordings of past semesters and some have notes only, no videos.
- No certificate.
Some points apply to every course of this kind; see how we rank.
Free to learn
- Free: All the materials are free to use, with no sign-up. MIT OpenCourseWare gives no certificate.
Taught by
- Prof. Bruce Rosen
- Prof. Lawrence Wald
Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.
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