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MIT OpenCourseWare via MIT

Bioinformatics and Proteomics

Overview

This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal processing, network theory, machine learning, robotics and other domains will be expounded upon.

Skills you'll practise

Biological EngineeringBiologyComputer ScienceData ScienceData Science, Analytics & Computer TechnologyEngineeringScience & Math

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. Gil Alterovitz
  • Prof. Manolis Kellis
  • Prof. Marco Ramoni

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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