Open Courseware and Resources

- Biology: natural science concerned with the study of life and living organisms, including their structure, function, growth, origin, evolution, distribution, and taxonomy.


Culture of rat brain cells

By GerryShaw - Standard tissue culture and immunofluorescence (adapted) CC BY-SA 3.0

  About Biosciences  
Brief introductions

  • About Bioscience - What exactly is bioscience? Browse summaries of important topics to learn about what makes up this fascinating, complex world.
  • About Biology - compendium of information on biology; Courses, methods files, rich content for understanding the living world
  • The Tree of Life Web Project (ToL) - a collaborative effort of biologists from around the world

Tree of Life
The Open Education Directory menu for Biosciences is in the top left margin

  Biosciences - Open Textbooks  
Links to open access (free) textbooks.

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iBerry's (unsorted) links for this topic on delicious

Links to Listings of Open Textbooks (all subject areas)

  Biosciences - Support for Learners  
Sites that actively support learners - eg learner communities, forums, expert help etc

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Massive Open Online Courses (MOOCs)

  Biosciences - Best Resource Sites  
iBerry's choice - other recommendations welcome!

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Some other resource sites 

  Biosciences - Unsorted Links    
Miscellaneous unsorted links
iBerry's (unsorted) links for this topic on delicious


  Biosciences - Open Courseware (OCW) 

The following links have been chosen by iBerry as good examples of OCW for this topic. Only significant content such as notes, images, videos etc covering topics in reasonable depth are included. Items consisting only of course advertisements, sub-topic headings, single lectures or where a significant proportion of material is password protected are not included. Comments are welcome!

Introduction to Bioengineering

science basis for bioengineering with particular emphasis on molecular cell biology and systems biology: Video interviews of a selection of bioengineering faculty from various School of Engineering Departments at MIT; [Tranlsations: 简体字, Español, Português]

Frontiers of Biomedical Engineering

basic concepts of biomedical engineering and their connection with the spectrum of human activity, fundamental science and engineering on which biomedical engineering is based, Case studies of drugs and medical products illustrate product development-product testing cycle patent protection and FDA approval

Interactive Science Simulations

interactive, research-based simulations of physical phenomena: ongoing effort to provide extensive suite of simulations to improve the way that physics, chemistry, biology, earth science and math are taught and learned

Foundations of Algorithms and Computational Techniques in Systems Biology

describes and illustrates computational approaches to solving problems in systems biology, series of case-studies explored that demonstrate how an effective match between statement of a biological problem and selection of appropriate algorithm or computational technique can lead to fundamental advances, covering several discrete and numerical algorithms used in simulation, feature extraction, and optimization for molecular, network, and systems models in biology [Chinese version available]

Genomics and Computational Biology

relationships among sequence, structure & function in complex biological networks, realistic modeling of quantitative, comprehensive, functional genomics analyses, exercises (algorithmic, statistical, database, & simulation approaches & practical applications to medicine, biotechnology, drug discovery, genetic engineering), future opportunities & current limitations: readings, projects, study materials

Integrative Biology

General Human Anatomy, functional anatomy of the human body as revealed by gross and microscopic examination

Systems Biology

mathematical modeling techniques needed to address key questions in modern biology, cell biology and developmental biology, Key experiments, molecular cellular and developmental systems biology, bacterial chemotaxis, genetic oscillators, control theory, gradient sensing systems, constructing and modeling, lambda phage, synthetic genetic switches, circadian rhythms, reaction diffusion equations, local activation and global inhibition models, center finding networks, pattern formation models, modeling cell-cell communication, quorum sensing, Drosophila development: readings, study materials

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