On today's class agenda:
- Adding student names to our AP Computer Science Principles College Board class site.
To do this:
Go to digitalportfolio.collegeboard.org
- Log in using your College Board student account and password, if you have one. (If you already have an existing College Board account, you should use that account to access the Digital Portfolio and should not create a new account. Creating a new account when you have an existing account can cause issues with access to the Digital Portfolio. You may have an existing account if you took an AP Capstone or AP with WE Service course in a prior year, viewed AP® scores, or registered for SAT® online.)
- If you do not already have a College Board student account, you can create a new account. Students who are new to the AP Digital Portfolio may be prompted to provide additional information.
- You will be prompted to add a class by clicking the ‘Add Classes’ button.
- You will be redirected to the Manage My Classes page and see a complete list of AP Computer Science Principles classes being offered at our school. You should request enrollment in the appropriate AP Computer Science Principles class.
- Upon clicking ‘Enroll’ you will see that enrollment has been requested. You will not be able to access the Digital Portfolio content until I have confirmed your enrollment.
After everyone is signed up, we will:
- Read and discuss Unit 3 sections on Lists
* Second hour was interrupted by a National Honor Society meeting. Everyone in class successfully enrolled in the class on the College Board site, but we did not get to reading about and discussing Lists.
Today's applicable Oklahoma curriculum standards:
L1.DA.S.01 Translate and compare different bit representations of data types, such as characters, numbers, and images.
L1.DA.CVT.01 Use tools and techniques to locate, collect, and create visualizations of small- and large-scale data sets (e.g., paper surveys and online data sets).
L1.DA.IM.01 Show the relationships between collected data elements using computational models.
