Do you have an interest in biology and quantitative tools? If Yes, Massachusetts Institute of Technology is inviting you to join “Quantitative Biology Workshop” Self-Paced free online course. You will be introduced to the tools used in biological research and discover how to analyze data using computational methods.
Quantitative Biology Workshop is designed to give learners exposure to the application of quantitative tools to analyze biological data at an introductory level. The course content will introduce programming languages but will not teach any one language in a comprehensive manner.
Course At A Glance
- Length: 8 weeks
- Effort: 4-8 hours per week
- Subject: Biology & Life Sciences
- Institution: Massachusetts Institute of Technology
- Languages: English
- Price: Free
- Certificate Available: Yes
- Session: Self-Paced
Providers Details
- Massachusetts Institute of Technology founded in 1861, MIT was an educational innovation, a community of hands-on problem solvers in love with fundamental science and eager to make the world a better place. Today, that spirit still guides how we educate students on campus and how we shape new digital learning technologies to make MIT teaching accessible to millions of learners around the world.
- The mission of the Massachusetts Institute of Technology is to advance knowledge and educate students in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century. We are also driven to bring knowledge to bear on the world’s great challenges.
Requirements
- Introduction to Biology or similar (biochemistry, molecular biology, and genetics).
- Programming experience is not required. An introduction to MATLAB, Python, and R is included.
About This Course
- Benefits: Introduction to Biology – The Secret of Life or an equivalent course can complete this workshop-based course without a background in programming. The course content will introduce programming languages but will not teach any one language in a comprehensive manner. The language of the course is English.
- Importance of the Subject in Today’s Scenario: As technologies for data generation have become steadily more efficient and inexpensive, the interpretation of vast quantities of biological data has emerged as a rate-limiting step in advances in the biological sciences. This challenge cuts across research areas, from genomics, neuroscience, and human diseases to the plant sciences. Making sense of the “big data” that is now ubiquitous in biology requires the development of innovative new quantitative tools and techniques, grounded in classical theory yet adapted for powerful modern technologies.
How to Join This Course
You should register yourself through the given link to join this free on-line course: https://courses.edx.org/register
Why Take This Course
- Advantage of Course: The course will give more learners from around the world the chance to discover quantitative biology. Hopefully, this series of workshops encourages learners to explore new interests and take more biology and computational courses.
- Certificate: Pursue a Verified Certificate to highlight the knowledge and skills you gain for $49. Add the certificate to your CV or resume, or post it directly on LinkedIn.
Learning Outcomes
After completing the course you will be able to:
- Apply quantitative methods to biological problems
- Define computational vocabulary
- Write Python, MATLAB, and R code to analyze biological data
- Examine any protein structure in PyMOL
- Design and carry out genetic experiments through a simulation tool
Instructors
- Jeff Gore: He is a Latham Career Development Assistant Professor of Physics at MIT. He completed his Ph.D. in physics from the University of California, Berkeley and a postdoctoral fellowship in the Department of Physics at MIT.
- Paul Blainey: He is an Assistant Professor in the Department of Biological Engineering at MIT and a core member at the Broad Institute of MIT and Harvard.
- Eric Lander: He is a Professor of Biology at MIT and Professor of Systems Biology at Harvard Medical School. He is the President and Founding Director of the Broad Institute of MIT and Harvard.
- Ernest Fraenkel: He is an Associate Professor in the Department of Biological Engineering at MIT.
- Mary Ellen Wiltrout: She is an MITx Digital Learning Scientist in the Department of Biology at MIT.
- Nathaniel Schafheimer He was an MITx Digital Learning Fellow in the Department of Biology at MIT from 2013 to 2015. He had a central role in the development and management of the MITx courses for the Department of Biology at MIT.
Suggested Reading
No specific knowledge or education background is assumed for the free online course.Basic knowledge of Biology useful to you in the course.
You Might Also Be Interested In
If you are interested you can also join “Molecular Biology – Part 1: DNA Replication and Repair” free online course.
Conclusion
- This workshop includes activities on the following biological topics: population biology, biochemical equilibrium and kinetics, molecular modeling of enzymes, visual neuroscience, genetics, gene expression and development, and genomics.
- Receive an instructor-signed certificate with the institution’s logo to verify your achievement and increase your job prospects. Your Certificate provides a detailed transcript of what you’ve learned. This includes how long you spent studying the course and your average test score.
Detailed Information
For more information about the course, you can check the given link:
https://www.edx.org/course/quantitative-biology-workshop-mitx-7-qbwx-2#!
