This course is pretty complicated. There’s a lot asked of you and not a lot of time to do it in. As such, it’s easy to gloss over some details. Here is a collection of Frequently Asked Questions to help when you feel like you’re just not quite getting something.
This FAQ is not a substitute for reading the syllabus closely and in its entirety. This is just here for clarification.
Some of the consumables are housed in Google Drive or through the library and require you to log in with your University NetID. Those on Google Drive are set to be viewable by anyone at the university but not publicly or by personal Gmail accounts. Make sure you’re logged into your UA account and not with your personal Gmail. I always suggest having a separate browser profile that’s just for school. Makes these kinds of things much, much easier.
No. In this class we do not have a weekly lecture scheduled. That said, we may meet for office hours, working sessions, et cetera, throughout the semester. Joining in will vastly improve your experience in the class.
Nope.
Still nope.
Yes, there is! Generally speaking, your files (and this should be helpful in other classes, too) should be labeled as such:
MATH101_Lastname_Assignment.pdf
, whereMATH
is the course code,101
is the course number,Lastname
is your last name, andAssignment
is the title of the assignment (and
Probably! Only one way to check!
Recordings via Zoom can take some time to process in the cloud. Once it’s done (typically the next morning) I’ll put the link to the recording in Teams.
I’m assuming you mean all this stuff:
I run down my audio setup on my podcast. As for my video equipment, that’s a Nikon Z6 full-frame mirrorless camera shooting with an f/4 24-75mm lens.
I use RStudio and a package called Blogdown. It’s plain text, super simple to use, and it lets me use R code right in the site, like this:
# For the curious, this is an example of what R can do.
# example from https://www.r-graph-gallery.com/277-marginal-histogram-for-ggplot2.html
# load the necessary libraries
library(ggplot2)
library(ggExtra)
# create classic plot :
p <- ggplot(mtcars, aes(x=wt, y=mpg, color=cyl, size=cyl)) +
geom_point() +
theme(legend.position="none")
# add marginal histogram
p1 <- ggMarginal(p, type="histogram")
Turns into:
# show the graph!
p1
After that, it’s a lot of trial and error!
Ever seen a game streamer? It’s that software (usually)!
Audition is to audio what Photoshop is to photos.
Premiere Pro is to video what Audition is to audio.
Our campus is an Adobe Creative Campus, meaning you have access to all the Adobe Creative Suite for free during your time at the university. Just head to the Adobe Students webpage, complete the registration, and you’ll have access to the entire suite.
Unfortunately, the course is built with these applications in mind. You may need to find accomodations to access a computer that will run them sufficiently. Feel free to contact me directly via Teams if you wish to discuss it further.
As you can see in the menu on the left, while this class is broken down into weeks, the Teams channels (read: discussion forums and chatrooms) are broken into content areas that span across the entire class.
General
- the general channel for non-module-specific content
spark
- for content related to Adobe Spark
obs
- for content related to OBS
premiere
- for content related to Adobe Premiere Pro
audition
- for content related to Adobe Audition
tips
- for sharing tips and tricks that may not be specific to one assignment or tool
social
- other than the introduction you share, for chat unrelated to class; is your band playing somewhere this weekend? Tell us here!