Bioinformatics Survey Form


Please answer the questions below. This is not meant to be a quiz or test in any way! You do not need to know the answer to these questions to take the course. Rather, the point behind the questions is so that I can better understand everyone's current level of knowledge.

In particular, for the questions beginning with "Level of Familiarity with", answer from 0 to 3 to indicate "never heard of" to "know about in detail". The answers are by default all filled in with "NA" for "Not Applicable". I would appreciate if you would try to answer as many as possible. (You have to clear the NA's away in the text boxes.)

To be doubly sure everything gets to me please e-mail the results of the form submission form back to me with a subject line containing the text "Filled-out Survey".


Basic Information

01. First-Name (free-text)

02. Last-Name (free-text)

03. e-mail address (free-text)

04. URL of Your Web Home Page, if you have one (type in http...) (free-text)

05. Status: Undergraduate Graduate Other

06. Class? (e.g. first year grad. student, senior undergrad.) (free-text)

07. Major Field? (free-text)

08. Are you taking this for credit?       YES NO NA

09. Are you combining this half-course module with another one?       YES NO NA


For Database Class

10. Favorite Fruit (free-text)

11. Favorite Fruit (try again!): [A]pple [B]anana [C]herry [S]trawberry


Programming Level

12. Can you program in perl?       YES NO NA

13. Can you program in C?       YES NO NA

14. Have you taken single-variable calculus?       YES NO NA

15. Do you have a Pantheon Account?       YES NO NA

16. Do you have easy ability to read and create web pages?       YES NO NA


Knowledge Level

17. Level of Familiarity with 'Genetic code' :       0 1 2 3 NA

18. Level of Familiarity with 'Protein alignment algorithms' :       0 1 2 3 NA

19. Level of Familiarity with 'BLAST search' :       0 1 2 3 NA

20. Level of Familiarity with 'Robotics' :       0 1 2 3 NA

21. Level of Familiarity with '3D rotations, translations' :       0 1 2 3 NA

22. Level of Familiarity with 'Constraint Satisfaction' :       0 1 2 3 NA

23. Level of Familiarity with 'Bayesian probability' :       0 1 2 3 NA

24. Level of Familiarity with 'Belief nets' :       0 1 2 3 NA

25. Level of Familiarity with 'Neural nets' :       0 1 2 3 NA

26. Level of Familiarity with 'Genetic algorithms' :       0 1 2 3 NA

27. Level of Familiarity with 'Simulated annealing' :       0 1 2 3 NA

28. Level of Familiarity with 'Decision trees' :       0 1 2 3 NA

29. Level of Familiarity with 'Artificial Intelligence' :       0 1 2 3 NA

30. Level of Familiarity with 'Calculation of Standard Deviation' :       0 1 2 3 NA

31. Level of Familiarity with 'a Bell-shaped Distribution (of test scores)':       0 1 2 3 NA

32. Level of Familiarity with 'DNA, RNA' :       0 1 2 3 NA

33. Level of Familiarity with 'Dynamic Programming' :       0 1 2 3 NA

34. Level of Familiarity with 'alpha-helix' :       0 1 2 3 NA

35. Level of Familiarity with 'Cell nucleus' :       0 1 2 3 NA

36. Level of Familiarity with 'ATP, NAD' :       0 1 2 3 NA

37. Level of Familiarity with 'Force as the Derivative (grad) of Energy':       0 1 2 3 NA

38. Level of Familiarity with 'A P-value of .01' :       0 1 2 3 NA

39. Level of Familiarity with 'An Extreme Value Distribution' :       0 1 2 3 NA

40. Level of Familiarity with 'Proteins are tightly packed' :       0 1 2 3 NA

41. Level of Familiarity with 'Sequence homology twilight zone' :       0 1 2 3 NA

42. Level of Familiarity with 'Protein families' :       0 1 2 3 NA

43. Level of Familiarity with 'Poisson-Boltzman Equation' :       0 1 2 3 NA

44. Level of Familiarity with 'A Hashing Function' :       0 1 2 3 NA

45. Level of Familiarity with 'A Recursive Descent Parser' :       0 1 2 3 NA

46. Level of Familiarity with 'What GroEL does' :       0 1 2 3 NA

47. Level of Familiarity with 'A worm is a metazoa' :       0 1 2 3 NA

48. Level of Familiarity with 'E. coli is gram negative' :       0 1 2 3 NA

49. Level of Familiarity with 'What chemokines are' :       0 1 2 3 NA

50. Level of Familiarity with 'Joining together two database tables' :       0 1 2 3 NA


Other

51. Are there specific topics that you want to cover -- using words above? (free-text)

52. Any other random thoughts (free-text)

53. Do you think a bioinformatics course should be offered again?       YES NO NA


Availability

54. Are you available on M 3/22 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

55. Are you available on W 3/24 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

56. Are you available on F 3/26 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

57. Are you available on M 3/29 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

58. Are you available on W 3/31 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

59. Are you available on F 4/2 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

60. Are you available on M 4/5 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

61. Are you available on W 4/7 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

62. Are you available on F 4/9 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

63. Are you available on M 4/12 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

64. Are you available on W 4/14 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

65. Are you available on F 4/16 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

66. Are you available on M 4/19 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

67. Are you available on W 4/21 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

68. Are you available on F 4/23 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

69. Are you available on M 4/26 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

70. Are you available on W 4/28 from 1:00 to 2:15 PM? (assume yes)       YES NO NA

71. Are you available on F 4/30 from 1:00 to 2:15 PM? (assume yes)       YES NO NA