Tutor Apprenticeship in Data Science 🧑‍🏫

DSC 95, Fall 2023 at UC San Diego

Class: Wednesdays, 9-9:50AM, WLH 2209

Table of contents

1. Schedule
2. About
3. People
4. Requirements
5. Useful Information
6. Acknowledgements

Schedule

Homeworks can be found at the bottom of the corresponding week’s webpage.

About

DSC 95 is a 2-unit, P/NP discussion-based course that is required of all first-time DSC tutors. The course is designed to guide new DSC tutors through their first quarter as a tutor. The specific topics we will cover are in the Schedule above.

Note that the class is not lecture based. We tell our students that the best way to learn concepts in data science is by doing data science, whether that’s actually writing pandas code or practicing runtime analysis problems. Likewise, the best way to learn how to teach data science is to actually teach data science, which you will get practice with in office hours and on your class’ discussion board. DSC 95 provides you with a forum to reflect on your teaching with a group of students who are also at the start of their teaching journeys.

There is exactly one goal in this class, and that is to get you to think very carefully about your teaching, to consider different scenarios that might arise (and how to deal with them), and to get you to genuinely enjoy teaching! (Okay, that was actually three goals, but they’re basically the same thing in my mind.) - Victor Huang, CS 375 @ Berkeley

People

Instructor
Marina Langlois

she/her/hers

malanglois@ucsd you know the rest

Hi, I am Marina and I am originally from Russia (not France!). I moved to Chicago to continue my education and I earned my PhD in Computer Science from UIC. Then I worked at Yeshiva University, NYC and then moved to UCSD, San Diego. I was a member of CS department at first but them moved to Data Science and I am loving it! I am excited to be your instructor for this quarter and you are welcome to stop by just to chat :)

Fun fact: I play ping pong!💃

Bryce Hackel

he/him/his

bhackel@ucsd.edu

Yo I’m Bryce, I’m a third year Computer Engineering major with a Psych minor from south bay area. In my productive free time, I work on random hardware/software ideas I find interesting, like LucidVR gloves, a Minecraft jukebox, and the style checker for this class. Outside of that, I watch tons of tech Youtube, and I’ve started learning to cook Indian dishes to impress my bay area friends. Looking forward to meeting everyone this quarter.

Jessica Hung

she/her/hers

yuhung@ucsd.edu

Hi all, I’m Jessica Hung and I’m a third year Data Science and Mathematics joint Economics student. I’m originally from Taiwan, but I grew up in Shanghai. This is my third quarter tutoring DSC 20 and I’m looking forward to meeting you all. Feel free to come by office hour :)))

William Xia

he/him/his

wxia@ucsd.edu

Hello! My name is William and I’m a third-year majoring in Data Science and minoring in Cognitive Science. Outside of school, I enjoy exploring nature, playing basketball, and watching kdramas. This will be my first time tutoring but I’m excited to work with everyone! Feel free to contact me or come to my office hours if you have any questions :)

Remember that dsc-courses.github.io contains links to course websites of several DSC courses.

Requirements

DSC 95 is graded P/NP. There are three things you need to do to pass:

1. Attend and participate in all DSC 95 class sessions.
   • This is a discussion-based class, so attendance and participation are mandatory. (How can you expect your students to be engaged if you’re not? 😉)
   • In class, you will be expected to complete in-class worksheets; these are graded on the following scale:
     • 2: Thoughtful and complete
     • 1: Lack of effort
     • 0: Not submitted
   • If you need to miss a DSC 95 class session for any reason (e.g. if you’re sick or have a conflicting exam), let Marina know in advance on Slack.
     • Note that lecture attendance for the class you’re tutoring for is not a requirement of DSC 95; your instructor may still require you to attend as part of your paid tutor duties.
   • You can miss at most 4 participation points (i.e. 2 DSC 95 class sessions) and still pass.
2. Complete weekly readings and homework assignments, usually due on Tuesday at 11:59PM.
   • Each week, we will provide you with readings and tasks to complete that should help you reflect on your time as a tutor so far. These will all be posted in the above Schedule.
   • Responses are graded on the same 2/1/0 scale that in-class worksheets are graded on.
   • Since the readings and homeworks are short (~1 hour per week), there are no slip days or extensions. We need your responses in no later than Tuesday night so that we can plan the next day’s class session.
   • You can miss at most 1 weekly assignment and still pass.
3. Complete a satisfactory Final Project.
   • The Final Project in DSC 95 is an open-ended assignment where you’ll produce some sort of educational material (e.g. a video, diagram, or website) that will benefit students in the course you’re tutoring.
   • Not only will your Final Project be given to your class’ instructor, but it’ll also be part of the “DSC 95 Project Showcase” for future DSC 95 students to see!
   • More details to come.

Useful Information

Here’s an assortment of information that will be useful the first time you tutor.

Payment

To get paid for your tutoring hours, submit your hours biweekly into Ecotime.

• Resources for using Ecotime can be found here; a quick guide (that is also linked on this site) can be found here.
• Instructions for setting up Direct Deposit can be found here. Note that you must set up your UC Path account to access the Direct Deposit page. Follow this guide for accessing UC Path for the first time.
• The payroll calendar can be found here; it describes when timesheets are due and when you’ll be paid.

Outside Tutoring

As a tutor, you are not permitted to approach students to offer services of any kind in exchange for pay, including tutoring services. This is considered solicitation for business and is strictly prohibited by University policy.

On a related note, as a tutor, you should only help students in your course through official channels (e.g. office hours or Ed). You may be friends with some of your students and have them on social media, but they should not message you on social media with questions about the course. All students should have equal access to course staff – your friends shouldn’t have an unfair advantage just because you happen to be a tutor.

Acknowledgements

Suraj Rampure taught this class last spring and design some of the content that I will re-use. We also referred to CSE 95 taught by Mia Minnes and CS 375 taught by Victor Huang at Berkeley.