Difference between revisions of "ME132a TA-Instructor Meeting, Winter 2011"

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** How many: 1/week
 
** How many: 1/week
 
** Due date: 1 week later.  
 
** Due date: 1 week later.  
** How to turn in: box in Steele? Thomas? (will be decided)
+
** How to turn in: Shuo's mail box and/or Andrea's email address
** Office hours: Instructors -- 303 TOM, Andrea and I will decide the TA OH
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** Office hours: Instructors -- 303 TOM, TA -- '''TBD'''
** Grading: when? how (percentage, late hw)? 3-5 days grace period, no extension on labs
 
 
 
* Midterm/Final: NO exams
 
  
 
* Web page, mailing list
 
* Web page, mailing list
** Where to set up the web page: Murray Wiki? IMSS? Andrea/Shuo's site?
+
** Where to set up the web page: Murray Wiki redirected from IMSS ('''in progress''')
** Format: plain HTML? Wiki?
+
** Upload: by TA  
** Upload: by TA (probably easier)? by instructors?
+
** Access: solutions -- Caltech only, others -- open to the public ('''should email Richard''')
** Access (incl. solutions, hw sets, lecture notes): soln-caltech only, others-open to the public
+
** Mailing list: me132@its.caltech.edu ('''in progress''')
** Mailing list: email IMSS to set up one?
 
  
 
* Honor code
 
* Honor code
** Collaboration policy: hw? lab? exams? (cf. [[CDS_101/110a,_Fall_2008]])
+
** Collaboration policy: '''wait for Larry''' (cf. [[CDS_101/110a,_Fall_2008]])
** Use of other materials: previous hw solns, other textbooks
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** Use of other materials: other than solutions from past and/or other courses
  
* Textbooks/references: Larry will send us the links (two free textbooks)
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* Textbooks/references: '''Larry will send the links''
  
* Prerequisites: check with Richard & Joel, linear alg, basis prob and stat.  
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* Prerequisites: '''check with Richard & Joel''', linear algebra, basis prob and stat.  
  
* Programming skills: Matlab & C
+
* Programming skills: '''TBD'''
  
 
=== Platform ===
 
=== Platform ===

Revision as of 02:35, 17 December 2010

This page is used for facilitating discussion between the instructors and TAs of ME/CS 132a (Winter 2010). Please note that the content of this page is open to the public.

Course Preparation

Course Organization

  • Homework
    • How many: 1/week
    • Due date: 1 week later.
    • How to turn in: Shuo's mail box and/or Andrea's email address
    • Office hours: Instructors -- 303 TOM, TA -- TBD
  • Web page, mailing list
    • Where to set up the web page: Murray Wiki redirected from IMSS (in progress)
    • Upload: by TA
    • Access: solutions -- Caltech only, others -- open to the public (should email Richard)
    • Mailing list: me132@its.caltech.edu (in progress)
  • Honor code
    • Collaboration policy: wait for Larry (cf. CDS_101/110a,_Fall_2008)
    • Use of other materials: other than solutions from past and/or other courses
  • Textbooks/references: 'Larry will send the links
  • Prerequisites: check with Richard & Joel, linear algebra, basis prob and stat.
  • Programming skills: TBD

Platform

  • Which robots we are going to use (ER-1 from Joel's lab vs Pioneers from JPL)
    • ER-1: there is some maintenance to do. The unit I was using summer had a motor controller failure. We have bought the

replacement, but haven't installed yet (it is not a 5 minute thing, as the software driver has changed, so there will be a little tinkering required).

    • New ER-1: new motor control module has player/stage interface?
  • Sensors:
    • SICK: should be enough
    • Stereo cameras: should be enough
  • Laptops
    • Need a Firewire ports
  • Software stack.
    • What interface/drivers do you want people to work with? (player, ROS, ...)
    • What would be the format for data files? (HDF, carmen, ...)
  • Labs organization
    • For example, the first lab assignment: Should I give them a charged robot with installed drivers, and let them write the software to collect the log? Or should I write all the software and let them collect the log? Is this done as a group (all the students together), as many small groups, or once for individual students?
    • First test on a simulator
  • Matlab vs. Python