1 / 10

Local Bindings

Join us for an engaging session covering quiz topics, readings discussion, lab time, and more. Get ready for upcoming deadlines and events. Learn how to excel as a programming partner and delve into data science principles.

anitamoore
Download Presentation

Local Bindings

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Sept 25th, 2019 Local Bindings

  2. Agenda • Preliminaries (8:30-8:35) • Exam 1 Cover Sheets (8:35-8:45) • Quiz Topics (8:45-8:50) • Readings Discussion (8:50-9:05) • Lab Time (9:05-9:45) • Wrap-up (9:45-9:50)

  3. Preliminaries (8:30-8:35) • Peer Support Events: • Choir concert Saturday 7:30pm Sebring Hall • Upcoming Work: • Monday’s lab due tonight at 10:30pm • Read for Friday • Today’s lab due Friday at 10:30pm • Assignment 4 due Tuesday at 10:30pm • Exam epilogue tonight at 10:30pm

  4. Exam 1 Cover Sheets (8:35-8:45) • Take a blank piece of paper • Write your name and secret ID on the paper • Write these two academic honesty statements: • I have neither received nor given inappropriate assistance on this exam • I am not aware of any other students who have given or received inappropriate assistance on this exam • For each statement: • If the statement is true, sign your name below the statement and write today’s date • If you can’t sign, please schedule an appointment to talk to me ASAP • Bring your cover sheet to the front of the class

  5. Quiz Topics (8:45-8:50) • Boolean Values • #t and #f • Writing and Using Predicate Procedures • and or not positive? even? conjoin disjoin exact? negative? • Filtering Lists • Output of assoc • Show the output of a list filter expression • Write scheme code to filter a list with a complex predicate

  6. How to be a good programming partner • Don’t work on the assignment without your partner • If you two are struggling to make progress, make an appointment with me • Make sure your partner understands what you have typed • If your partner says they understand, believe them

  7. Readings Discussion (8:50-9:05) • Think-pair-share: • What is data science? • Science of manipulating and interpreting data • Similar to statistics, take in data and interpret it • Try to find the golden nugget, lots of data out there, find what is actually valuable • Ethical manner important • What are the major steps in doing data science? • Ethical considerations, collecting, Wrangling, merging, cleaning, filtering, processing, analyzing, visualizing

  8. Readings Discussion (8:50-9:05) • Think-pair-share: what do the following expressions result in? • (let ([x 1] [y 2]) (+ x y)) • 3 • (let ([x 1]) • (let ([x 2] [y (* 2 x)]) • (+ x y))) • 4 • (let ([x 1]) (let* ([x 2] [y (* 2 x)]) (+ x y))) • 6

  9. Lab Time (9:05-9:45) • Person closest to the back starts as driver

  10. Wrap-up (9:45-9:50) • Lab writeup: Exercise 2 both parts • Upcoming Work reminders: • Monday’s lab due tonight at 10:30pm • Read for Friday • Today’s lab due Friday at 10:30pm • Assignment 4 due Tuesday at 10:30pm

More Related