Computational Bioengineering Survey
Please fill out the following as honestly as possible.

Answers will be used to help design team projects and choose teams.

No answers will be used in grading.
Email address *
First Name *
Your answer
Last Name *
Your answer
Math Proficiency *
Minimal
Proficient
Communication Skills *
None
Very Strong Communication Skills
Working Style Preference *
Prefer to work solo
Prefer to work in teams
Matlab Experience *
None
Extensive
Number of Programming Languages Known *
None
Extensive
Interest in Computational Bioengineering *
None
Very interested
Projected Investment in Mastering Class *
None
High Investment
Projected Need to Analyze Images *
None
Strong Need
Projected Need to Analyze Molecular Data *
None
Strong Need
Experience Analyzing Data *
None
Extensive
Figure 1
Would you be able to explain the above graph (Figure 1) scientifically? Please take a 5-10 min to read about the figure. Article is accessible here: http://science.sciencemag.org/content/348/6235/660 *
Not at all
Yes. Perfectly
Figure 2
Would you be able to explain the above figure (Figure 2) scientifically? Please take a 5-10 min to read about the figure. Article is accessible here: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002724 *
Not at all
Yes. Perfectly
Research Area *
Have you learned any of the following topics before? Please check any that you've learned.
What do you hope to get out of this course? *
Your answer
If you have a choice of emphasis for the class, would you prefer to learn data-driven or theoretical methods? Data-driven = based on data obtained from experiments. Theory = model drives new hypotheses. *
Please rank the following topics
least interesting = 1 to most interesting = 5
Artificial intelligence methods to predict sports performance (or daily fitness) *
Machine learning methods to predict whether a cancer patient will respond to a drug *
3D model of tissue growth in a biomimetic organ *
Computationally optimizing wearable antennas for human space travel *
Molecular signaling models of a bacteria cell *
Analyzing astronaut data to determine how zero-gravity impacts cardiac output *
Any topic or subject you'd particularly like to model or analyze? *
Your answer
We have a few opportunities to invite guest speakers to class who use modeling in their careers. Please rank who would be of interest to you.
least interesting = 1 to most interesting = 5
NASA researcher studying genetic responses to space travel *
Entrepreneur developing clinical data tools that learn from human interactions *
Cognitive scientist studying brain-machine interfaces *
NASA engineer studying how to make wearable antenna technologies for space travel *
Computer scientist developing image analysis methods to automatically recognize healthy vs. diseased neurons *
Graduate students or fellows who can share career options / advice in the computational biology field *
Any person you'd particularly recommend as a guest speaker? *
Your answer
Of the following, which (if any) career paths interest you? *
Required
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