Lab 14: Course Evaluation, Program 6 and Practicum Preparation
Logistics
- Due: Tuesday, December 5th no later than 11:59 p.m.
- Partner Information: Complete this assignment individually.
- Submission Instructions: Enter your answer to the question
below to the BrightSpace Lab 14 Dropbox comment section.
- Deadline Reminder: Once this deadline passes, BrightSpace will no
longer accept your submission and you will no longer
be able to earn credit. Thus, if you are not able to fully complete
the assignment, submit whatever you have before the deadline so that
partial credit can be earned.
Purpose
Congratulations - you have made it to the final CSCI 127 lab of the semester!
To help us improve the course in the future, please
complete the three CSCI 127 course evaluations that are described
in more detail below. Evaluations are anonymous and your feedback will not
be available until after Fall Semester ends and final grades are reported.
Thank you.
End-of-Semester CSCI 127 Surveys
Your only graded task today is to complete the three course feedback
surveys: one for Ann Marie Reinhold, one for John Paxton and one for the
course in general (where you can also provide comments about your lab TA).
We welcome any constructive ideas that you wish to share that can help
us improve future offerings of this course. The three course evaluations
for CSCI 127 can be accessed as follows:
Grading
- Yes or No. I completed the three CSCI 127
evaluations. Enter your response to the BrightSpace Lab 14
Dropbox Comment section.
(10 points if yes.)
If Time Remains
- Check that all in-labs that you submitted
(Labs 1 thru 12 and possibly Lab 13) have
scores recorded. If you notice any errors, notify your TA.
- Check that all programming assignments that you submitted
(Programs 1 thru 5) have scores recorded.
If you notice any errors, notify your TA.
- Work on Program 6, seeking feedback from your TA or lab helpers
if desired.
- Solve each question from this
Spring 2018 third practicum.
For Question 4, the csv file is now located at
https://corgis-edu.github.io/corgis/csv/classics/