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Data Collection Field Trip — Thursday Week 4 (October 22)! Thanks to everyone who participated in the field trip.  Would ‘team captains’ please email me the list of people on their team, and (if they haven’t already given the data sheet to emily or alex) bring it to seminar on Monday.

Week 5 – Oct 25-31 is halfway through the term, so there are special things to remember.  By the end of the week, faculty will give you a note saying whether you are in danger of losing credit.  Everyone will get one – probably via (Evergreen) email.  A review guide has been linked to the stats homepage.  Also:

Monday – Python Quiz, open book, open notes, in class, one hour, Ch. 1-4, followed by a lecture on ch. 5 (graphics!).  All python students will take this.  Some advice on how to prepare –

  1. Go to the help session Friday Week 4 – 11:30-2 in the CAL for a review.
  2. Put your electronic portfolio in order.  Check your Cubbies for any missing labs or homeworks;  if any try to catch up this weekend BEFORE the quiz.  Read or re-read Karen’s comments on your programs.
  3. Organize your pre-labs into a binder (in preparation to hand in at the end of quarter); while you need NOT hand this in now, it could be helpful for studying.
  4. Review pre-labs and labs; look at the learning objectives; string formatting will NOT be on the quiz.
  5. Practicing tracing 2-3 programs – write down all the variables, show how they change as the program executes with some given input (in particular going thru a loop). You can also sprinkle print statements throughout your program(s) to do this.
  6. Practice testing programs – take 1-2 of your hw or lab programs and make sure you understand how to devise 2-3 test cases for them.
  7. Reading programs – what does a given program do?  See the sample program collection http://grace.evergreen.edu/mon/python/sampleProgs/ or Judy’s solutions to some hws and labs in Handouts on the fileshare, and see if you can figure out from that what the program does and how it does it.

Monday – seminar as usual, with writing due.  Stats Reading Quiz.

Tuesday – python lab and lecture as usual.  Also:  put your case study portfolio in order;  upload any missing labs.

Wednesday 9am – Stats Quiz, Stats Lecture – closed book, open notes (3×5 index card, both sides), Ch. 1-9.  Richard will provide access to tables you might need, e.g., the table of a normal distribution.  Look for the review questions on the web (over the weekend).  The answers to the first 2 homeworks will also be posted on the web.   Special help session 3pm Monday (with Emily in the CAL); Cara will have a Tuesday review session – 10-12 in Lab I  3033.

Thursday – Case Study/Stats Labs as usual.

Friday -  Case Study Lab5 by noon.

Saturday 7am – Submit Python homework programs to  fileshare Cubbies Python\hw5, and any lab programs you did not finish during lab to fileshare Cubbies Python\lab5

Monday, November 2 – your seminar portfolio will be due.

Monday Week 6 1pm – Seminar Portfolio (and weekly writing) due.   Put these into a binder, with sections marked, and bring to seminar.  Include writing for Week 6.  Your portfolio should include:

  • Hard copies of papers you’ve written (incl. weeks 1,2,3,5)
  • Peer reviews you received in class (should have 5)
  • Peer reviews you wrote in class (should have 3, not incl weeks 1-3)
  • Hard copies of any seminar summaries you wrote
  • Hard copies of responses you wrote to others’ writing (just create a single text file that has these, copy-pasted from the moodle)
  • 1-2 paragraphs reflecting on what you’ve learned so far from the lectures, seminars, and readings.

You might also include:

  • Hard copies of responses you wrote to others’ writing (just create a single text file that has these, copy-pasted from the moodle)
  • 1-2 paragraphs reflecting on what you’ve learned so far from the lectures, seminars, and readings.

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Assignments for Week 4,  Oct 18-24:  DRAFT

  1. Sunday:  Do seminar reading and post writing to the moodle.
  2. Monday:   9am:  Python Read Ch. 4.  1pm:  Bring 2 hardcopies of seminar writing to seminar.
  3. Tuesday 1pm:  Respond to 2-3 seminar writings, or (if you are reporter) post your seminar group report (on moodle).   Come to Python lab with Review Questions, (handwritten is ok) on paper.
  4. Tuesday (3:30):   Submit lab programs completed during lab, to fileshare Cubbies Python\lab4
  5. Tuesday evening:  answer Reading Quiz for Stats, the link is on the Stats syllabus page.
  6. Wednesday 9am:  Case Study Lab3 to fileshare Cubbies from last week due.   Read stats, Ch. 8-9,  bring Ch 5-6 problems to class (handwritten is ok) on paper.
  7. Thursday:  Prepare for Field Trip!  Meet in the CAL at 9am.
  8. Friday noon:  No Case Study Lab Report, to fileshare Cubbies CaseStudy\lab3.
  9. Saturday 7am: Submit Python homework programs to  fileshare Cubbies Python\hw3, and any lab programs you did not finish during lab to fileshare Cubbies Python\lab3

A printable version of Ch. 1 Panarchy is now available from the moodle.

Assignments for Week 3,  Oct 11-17:  DRAFT

  1. Sunday:  Seminar reading and writing posted to the moodle.
  2. Monday:  Python Read Ch. 3;  Bring 2 hardcopies of seminar writing to seminar.
  3. Tuesday 1pm:  Respond to 2-3 seminar writings, or (if you are reporter/scribe) post your seminar group report (on moodle).   Come to Python lab with Review Questions, (handwritten is ok) on paper.
  4. Tuesday (3:30):   Submit lab programs completed during lab, to fileshare Cubbies Python\lab3
  5. Tuesday evening: answer Reading Quiz for Stats, the link is on the Stats syllabus page.
  6. Wednesday:  Read stats, Ch. 5-6,  bring Ch 3-4 problems to class (handwritten is ok) on paper.
  7. Thursday:  suggested Case Study reading:  tba
  8. Friday noon:  Case Study Lab Report, to fileshare Cubbies CaseStudy\lab3.
  9. Saturday 7am: Submit Python homework programs to  fileshare Cubbies Python\hw3, and any lab programs you completed, but did not finish, during lab, to fileshare Cubbies Python\lab3

Assignments for Week 2,  Oct 4-10:

  1. Sunday:  Seminar reading and writing (Week 2 Forum) posted to the moodle.
  2. Monday:  Python Read Ch. 2;  Bring 2 hardcopies of seminar writing to seminar.
  3. Tuesday 1pm:  Respond to 2-3 seminar writings (on moodle).  Come to Python lab with the Review Questions, answered on paper.
  4. Tuesday (3:30):  Submit lab programs completed during lab, to fileshare Cubbies Python\lab2
  5. Tuesday evening: answer Reading Quiz for Stats, the link is on the Stats syllabus page
  6. Wednesday:  Read stats, Ch. 3-4,  bring Ch 2 problems to class on paper.
  7. Thursday:  suggested Case Study reading:  VanPelt and Nadkarni.  2004. Development of Canopy Structure in Pseudotsuga Menziesii Forests in the Southern Washington Cascades, Forest Science, 50, 3, p. 326.  This paper (vanpeltnadkarn_2004.pdf) can be found (with all other case study handouts) on the fileshare:  case study\Lab2
  8. Friday noon:  Case Study Lab Report, to fileshare Cubbies CaseStudy\lab2. No Stats Lab Report due this week.
  9. Saturday 7am, Submit Python homework programs to  fileshare Cubbies Python\hw2, and any lab programs you completed, but did not finish during lab, to fileshare Cubbies Python\lab2

Assignments for Week 1, Sep 28- Oct 5:

  1. Tuesday lab, Sep 29, Python, Ch. 1.  Come to lab with the Review Questions, p. 20-22, answered on paper.  We will start the programming exercises in lab, so there is NO need to do those beforehand.
  2. Wednesday, Stats, Read Ch. 1 & 2.  Do the reading quiz (see http://grace.evergreen.edu/dandi/dandi09-10/stats/)
  3. Thursday:  Post answer to one question about Tuesday’s film to the moodle .
  4. Saturday:  Case Study Lab Report (deadline extended from Thursday noon), to fileshare Cubbies.
  5. Friday/Saturday, python labs lab1 andhomework hw1 to turn in – to fileshare Cubbies
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First Class Meetings:
  1. Monday, September 28, 1-3 pm,  Sem2 E3107
  2. Tuesday Lab starts EARLY at 12:30 — this week only!

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