Quantitative Biology Workshop

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7/10 stars
based on  9 reviews
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Cost FREE
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Course Details

Cost

FREE

Upcoming Schedule

  • In Session

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
24425 reviews

Course Description

Do you have an interest in biology and quantitative tools? Do you know computational methods but do not realize how they apply to biological problems? Do you know biology but do not understand how scientists really analyze complicated data? 7.QBWx: Quantitative Biology Workshop is designed to give learners exposure to the application of quantitative tools to analyze biological data at an introductory level. For the last few years, the Biology Department of MIT has run this workshop-style course as part of a one-week outreach program for students from other universities. With 7.QBWx, we can give more learners from around the world the chance to discover quantitative biology. We hope that this series of workshops encourages learners to explore new interests and take more biology and computational courses.

We expect that learners from 7.00x Introduction to Biology – The Secret of Life or an equivalent course can complete this worksho...

Do you have an interest in biology and quantitative tools? Do you know computational methods but do not realize how they apply to biological problems? Do you know biology but do not understand how scientists really analyze complicated data? 7.QBWx: Quantitative Biology Workshop is designed to give learners exposure to the application of quantitative tools to analyze biological data at an introductory level. For the last few years, the Biology Department of MIT has run this workshop-style course as part of a one-week outreach program for students from other universities. With 7.QBWx, we can give more learners from around the world the chance to discover quantitative biology. We hope that this series of workshops encourages learners to explore new interests and take more biology and computational courses.

We expect that learners from 7.00x 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 content of each week varies. We want learners to have an introduction to multiple languages and tools to find a topic that they would want to explore more. Participants with programming experience will find some weeks easier than students with only biology experience, while those with a biology background should find the week on genetics easier. We recommend that learners try to complete each week to find what interests them the most.

Workshop Content Creators and Residential Leaders

Gregory Hale, Michael Goard, Ph.D., Ben Stinson, Kunle Demuren, Sara Gosline, Ph.D., Glenna Foight, Leyla Isik, Samir El-Boustani, Ph.D., Gerald Pho, and Rajeev Rikhye

Residential Outreach Workshop Organizer and Creator

Mandana Sassanfar, Ph.D.

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. The tools and programming languages include MATLAB, PyMOL, StarGenetics, Python, and R. This course does not require learners to download MATLAB. All MATLAB activities run and are graded within the edX platform. We do recommend that participants download a few other free tools for the activities so that they learn how to use the same tools and programs that scientists use.

 

Reviews 7/10 stars
9 Reviews for Quantitative Biology Workshop

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Ann Schmidt profile image
Ann Schmidt profile image
10/10 starsCompleted
  • 25 reviews
  • 24 completed
7 years ago
Greta course from MIT that lets you play with programming and actual data used in research. You get to use different research programs such as R and Python to complete assignments. Interesting to see how data is crunched in the real world. Would recommend this course.
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6/10 starsDropped
4 years, 2 months ago
I didn't like this course at all. I went through half of it, covering the MATLAB and PyMol topics. The MATLAB part starts well, everything was nicely explained, but when moving onto the biology-applied tasks, they asked things that weren't explained (plus they were quite boring). PyMol looks as an awesome software but this course just tells you step by step what to do to solve what they are asking, but don't explain the basics, as to how the command syntax works. So you're going to be able to do the tasks, but you won't have learned anything. I don't recommend this course if you really want to learn how to use these softwares.
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10/10 starsCompleted
4 years, 7 months ago
I really liked this course. It gives you a very good overview of what methods you can use in Biology. Finally a MOOC in data analysis which does not only focus on medical problems, but gives you a more holistic overview. I must say that some of the instructions could have been a bit clearer, as some exercises were a bit too hard for my taste (having a Masters degree in molecular biology). Especially the Matlab and Python parts were tricky. Still, I have the feeling I know a lot more about computational biology and it will really help me in my PhD project, which starts shortly.
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Steven Frank profile image
Steven Frank profile image
10/10 starsCompleted
  • 59 reviews
  • 57 completed
5 years, 4 months ago
This terrific offering from MIT is unusual in being organized around applications rather than content -- each of the 8 weekly units introduces a different tool used by quantitative biologists, and each week's course topic serves both as a vehicle for hands-on experience with the tool as well as an engaging subject for learning. The tools are Matlab, ImageJ, PyMol, the StarMapping genetics simulator, and the Python and R programming languages as used by biologists; and the topics include population modeling, equilibrium kinetics, molecular modeling, genetics, and disease prediction. These diverse topics are taught by an equally diverse ensemble of instructors, both professors and grad students. In some cases, the instructional videos are drawn from other MIT courses, and there are also "faculty perspective" videos that address larger questions in biology. Half of the graded assignments are "workshops" that give you limited answer ... This terrific offering from MIT is unusual in being organized around applications rather than content -- each of the 8 weekly units introduces a different tool used by quantitative biologists, and each week's course topic serves both as a vehicle for hands-on experience with the tool as well as an engaging subject for learning. The tools are Matlab, ImageJ, PyMol, the StarMapping genetics simulator, and the Python and R programming languages as used by biologists; and the topics include population modeling, equilibrium kinetics, molecular modeling, genetics, and disease prediction. These diverse topics are taught by an equally diverse ensemble of instructors, both professors and grad students. In some cases, the instructional videos are drawn from other MIT courses, and there are also "faculty perspective" videos that address larger questions in biology. Half of the graded assignments are "workshops" that give you limited answer attempts, and the other half are "exercises" with unlimited attempts. Those familiar with programming in Matlab and Python will find those assignments pretty easy; newcomers will be challenged. But the progressively organized materials assume no prior background and skeleton code is always provided; you're never just thrown into the deep water. What really makes this course are the varied and interesting topics, with no overall organizing principle or constraint, and the quality of the instruction and materials, which are, as is typical for MIT, first-rate.
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1/10 starsTaking Now
5 years, 5 months ago
The examples are not enough explained and all the necessary lines are not explained enough. I do not understand what I should do even, and how to start. Some parts are just done a lick and a promise. The Pymol workshop I did very fast because I already know the program but the matlab is just a total failure.
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Abhishek Waghole profile image
Abhishek Waghole profile image

Abhishek Waghole

8/10 starsTaking Now
5 years, 6 months ago
Its Great to learn biological terms with new ideas.I have learned biology in my Higher Secondary Education and now learning Matlab.Im really very very interested in 3D printer with the bioprinting process thats why Im learning various new concepts related to this
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9/10 starsCompleted
6 years, 10 months ago
I got fascinated by this MOOC course. The lectures especially, but also the problem sets with genomics, Python, MATLAB and R. I never thought I would say I find statistics fascinating! Usually hate this kind of stuff. You will learn a maximum of things in a minimum of time in wet lab (biology) and dry lab (computer coding). Be prepared to work hard, though, and learn the basics of Python in advance if you can... planning ahead was what helped me complete this course successfully.
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Vicente Monje profile image
Vicente Monje profile image

Vicente Monje

6/10 starsTaking Now
3 years, 11 months ago
Hi, It looks like there is a problem in subscribing to this course. When I open the course it says "enrollment not possible" (in spanish). Can someone check if it is properly working the enrollment button? Thanks!
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4/10 starsTaking Now
5 years, 1 month ago
hey I have a question.. I'm highly interested in learning these material and I can't access them although the course is labeled "archived".. can somebody please help me? thanks.
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