Content Conversation 1

When: Thursday, October 2nd!

Where: Our classroom unless specified differently in Google Calendar invitation (see below).

Overview: In time series mini-project pairs, you’ll meet with Brianna for 15 minutes in her office or the classroom (or on zoom, if needed). For most pairs, this will occur during regularly scheduled class time. During that short time, you and your partner will work together and support each other to communicate your understanding of course content. While you’ll have a partner to work with, you will not have access to any written notes during this conversation.


Reserve your time: To reserve a time period for you and your partner, go to my Google appointment page and click on a time slot for you and your partner. Please add both names to the name of the calendar event and invite your partner to the Calendar event.


Why this format: The learning benefit of quizzes and tests comes from the preparation as it provides you an opportunity to stop and synthesize information. This conversation is intended to provide you with this same opportunity in terms of preparation. In contrast to a quiz or test, a conversation more accurately reflects the type of situation you’ll be in in the future where you’ll need to communicate your understanding to others (to convince, to teach, to inform, etc.). I want you to gain more practice in this type of oral communication but with the support of your community, which is why we are doing this in pairs.


Assessment: I will provide in-the-moment feedback and/or corrections to make sure that you gain the correct conceptual understanding of the statistical topics. I will also share what I observe in terms of collaboration and communication skills to name some areas to work on and further develop. If I do not have an opportunity to share an observation during our time together, I may share that feedback on the individual spreadsheet.


How to Prepare: Alone and in collaboration with your project partner, I recommend doing the following:


Detailed Prompt: In collaboration with your partner and without the use of your notes, walk Brianna through the theoretical derivation of correlation, \(Cor(Y_t, Y_{t-h})\), for an \(MA(q)\) model and discuss the implications of that theory for modeling real data.

Brianna will provide additional details & constraints in the moment to ensure you understand the general process and the reasoning behind the derivation rather than memorizing a set of symbols.