About our Events
SUSA will plan events throughout the semester to get students comfortable about statistics at Berkeley. Some of our planned events include speakers from our campus community (be it graduate students, professors, alumni, etc.), faculty lunches, course planning workshops, declaration workshops, and study halls. Out of these, our workshops and speaker series will typically include statistics department input and reviewed content.
Who can come?
Anyone can come!
There are no restrictions on who can come to our events. So please come and invite your friends while you're at it!
What can I expect from these events?
A community of people that care for your academic success!
You can use our various events to get close to professors and your advisors here at Cal; learn things about research, graduate school, and industry; and also build a new network of friends.
We hope to see new faces and friends at our events!
Upcoming Events
You can find a list of non-recurring upcoming events below and plan accordingly. If you want to add a calendar to your own Google calendar collection, here is the calendar.
Past Events
Here is our ten most recent events and presentation material that came up during the event (most materials require you to sign into your UC Berkeley email) .
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2022 Feb. 23: SUSA Leadership Info Session
- Time: 2:30 PM - 3:30 PM
- What: Join us to learn about the next steps for SUSA!. RSVP Here!
- Where: 340 Evans
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2021 Apr. 29: Statistics Department Cal Week: Celebrating Statistician David Blackwell
- Time: 5:00 PM - 6:00 PM
- What: Peter Bickel, Department of Statistics, UC Berkeley (Panelist/Discussant) David Harold Blackwell (April 24, 1919 – July 8, 2010) was a Professor in the Department of Statistics at the University of California, Berkeley, who made seminal contributions to game theory, probability theory, information theory, and Bayesian statistics. He was the first African American inducted into the National Academy of Sciences, the first Black tenured faculty member at UC Berkeley, and...
- Where: https://statistics.berkeley.edu/about/events/celebrating-statistician-david-blackwell
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2021 Apr. 28: Statistics Department Cal Week: Neyman Seminar
- Time: 4:00 PM - 5:00 PM
- What: Consider the subgraph sampling model, where we observe a random subgraph of a given (possibly non random) large graph $G_n$, by choosing vertices of $G_n$ independently at random with probability $p_n$. In this setting, we study the question of estimating the number of copies $N(H,G_n)$ of a fixed motif/small graph (think of $H$ as edges, two stars, triangles) in the big graph $G_n$. We derive necessary and sufficient conditions for the consistency and the asymptotic normality of a natural Horvitz-Thompson (HT) type estimator. As it turns out, the asymptotic normality of the HT estimator exhibits an interesting fourth-moment phenomenon, which asserts that the HT estimator (appropriately centered and rescaled) converges in distribution to the standard normal whenever its fourth-moment converges to 3. We apply our results to several natural graph ensembles, such as sparse graphs with bounded degree, Erdős-Renyi random graphs, random regular graphs, and dense graphons. This talk is based on joint work with Bhaswar B. Bhattacharya and Sayan Das.
- Where: https://statistics.berkeley.edu/about/events/neyman-seminar-41
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2021 Apr. 27: Statistics Department Cal Week: Studying Statistics at Cal
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2021 Apr. 27: Statistics Department Cal Week: A.I. in Practice: From Self-Driving Cars to ...
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2021 Apr. 26: FA21 Course Planning Workshop
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2021 Apr. 12: Statistics Internship/Job Workshop
- Time: 4:00 PM - 5:00 PM
- What: Registration for this event is required. Register here! The Statistics Advising team and the Statistics Undergraduate Student Association (SUSA) are hosting a workshop next Monday, April 12th at 4:00pm PDT to help students in their internship and job searches. A career counselor will present to showcase the many resources the Career Center offers to help you write your resume, prepare for interviews, and much more! The workshop will also have a student panel where you will have the opportunity to hear from students who have completed internships. Come prepared with questions for the career counselor and the student panel! We hope to see you there!
- Where: https://berkeley.zoom.us/meeting/register/tJAlcO-prTstEtBL2nByAsnkkyQ-mAYDMuFi
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2021 Feb. 11: Statistics Department: Statistics Undergraduate Town Hall
- Time: 3:30 PM - 4:30 PM
- What: Hosted by the Statistics Department: You're invited to our town hall taking place Thursday, February 11th at 3:30pm PST! The town hall will provide updates about the Statistics undergraduate program by the department chair and the head undergraduate faculty advisor. Students will have the opportunity to provide feedback on their experiences in the Statistics major/minor. RSVP at the google form linked HERE! Please RSVP by Wednesday, Feb 10th and we will email you the event's zoom link. We hope to see you there!
- Where: https://forms.gle/WBriVrneEv1wVyrJA
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2021 Feb. 03: Spring 2021 First General Meeting
- Time: 7:00 PM - 8:00 PM
- What: During the meeting, you'll get to know about: our officers, our mission as SUSA, our officer applications, the SGUP mentorship, and other things that we are working to change with the Statistics Department. After everything, we'll split off into breakout rooms to game and socialize. As usual, we'll aim to make the slides accessible to anyone who can't come. Hope to see you there!
- Where: https://berkeley.zoom.us/j/92594257241?pwd=d3ZLZkhzUTA4c2V0NGFzUFV0WjVRUT09
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Facebook Link
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2020 Oct. 13: SP21 Course Planning Workshop
- Time: 6:30 PM - 7:30 PM
- What: Do you know what you’re taking next semester? What about the semester after that? The semester after that? Don’t look back during your senior year and wish you had taken that one essential prerequisite; come to SUSA’s course planning workshop! Learn about the major, upcoming requirements and course changes(there are several), and how to apply to grad classes!
- Where: https://berkeley.zoom.us/meeting/register/tJAvduqtrzksGNIeTMnMjHpZw7rfnXqPNyP_
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Facebook Link