Lecture 1 - Announcements / Notes

Announcements

Extra credit opportunity - Faculty candidate talks:

The CS department is interviewing faculty candidates. Each candidate gives 2 public talks - one research talk and one teaching demo. Students are welcome and encouraged to attend these! To incentivize attendance, I offer a bit of extra credit. See the “Talk Attendance Extra Credit” assignment on Canvas for details, but the deal is this:

• If you attend a talk, you can grab an index card from me at the start. During the talk, fill out the card with four things:
  1. Your name and class (CSCI 141)
  2. Something you learned from the talk
  3. Something that could have been improved in the talk
  4. Your thoughts on whether we should offer a faculty position to the speaker
• Hand the card to me at the end of the talk for 2 points of extra credit in the Exercise Solution Sets category.
• I will remind you of scheduled talks; the first two are this coming Thursday and Friday at 4pm:
  • Thu 1/12 CF 105: William Hoza - Research Pseudorandomness and Space Complexity: New Methods, New Insights, and New Milestones
  • Fri 1/13 CF 316: William Hoza - Teaching Demo Communicating Over an Unreliable Channel
• Some of these folks might be your future professors!

Survey Statistics

In Groups: Write up your Exercise Solution Sets for E01

Academic Honesty Policy

• Discuss answers to E01 #7

How to succeed in this class

• Lecture content
  • Watch the videos, work through the exercises before class:
    • Try to answer the Exercise.
    • If there’s a way to check your answer using python, do so now. Do you understand the outcome?
    • If not, make a note to talk about this with your team in class.
    • Attend class
  • Make mistakes and learn from them. Be bold!
  • Learn from your teammates.
  • Teach your teammates.
  • Ask lots of questions.
  • Practice solving the Problems on your own after class.
• Programming assignments
  • Start early. The assignments may take longer than you expect them to. This is increasingly true as the quarter progresses.
  • Get help. If you’re stuck, or don’t know how to get started, for more than about 30 minutes, seek help. You can come to my office hours, TA office hours, ask questions in the q-and-a channel, or go to the CS Tutors (see the Syllabus “Resources for Getting Help and Support”).
  • Even if you got help along the way, when you’re done, you should be able to sit down and solve it yourself from scratch.
• Labs
  • Attend lab (required).
  • Ask questions of the TA - they are there to help.
  • When you’re done, you should be able to sit down and solve it yourself from scratch.
• Midterm Exam, Final Project: will take care of themselves if you’re solid on the above.

If time: live code today’s Problem