Upcoming Events

See organizers' website for details. While graduate students do not need to become experts in how students learn, a basic understanding of the research on learning can enable GSIs to make informed teaching decisions. Drawing on research findings from neuroscience, anthropology, and cognitive and social psychology, this workshop will enable GSIs to consider ways to apply research-based principles to the learning environments they create for their students.   Zoom meeting information is linked above on the event page for your workshop under "Online Location/Join Online Event" *This workshop fulfills a requirement for the Certificate of Teaching & Learning in Higher Education. In order to receive credit for the Certificate of Teaching and Learning:  Arrive punctually and attend the entire meeting. Complete the attendance form at the end of the session (the platform does not notify you that your attendance was recorded but if you have any questions or concerns, please feel free to contact us). For attendance tracking ease, we ask that you use your given name as your display name in Zoom.

See organizers' website for details. Congratulations! You submitted a strong application, impressed the employer, and now you’ve been invited to interview for the role. What now? What should you expect? What can you do to prepare? Join one of our events to learn the answers to these questions and more. During the virtual workshop our expert recruiters will offer advice on how to prepare for and how to make a good impression at your next interview. They will speak about the different types of interview, from virtual to case to experience-based, and offer practical advice to help you convey your best self. Job interviews can be nerve-wracking if you aren’t sure what to expect or how to best show what you have to offer. We’re here to help you ace that interview.

See organizers' website for details. This three-part series will cover the following materials: Part 1:  Introduction Getting a dataset into Stata (no previous knowledge expected) Examining a dataset and finding variables of interest Summarizing and tabulating variables Stata specific tools and resources (do files, logs, help files, etc.) Coding and cleaning data (making new variables from old variables; labeling variables and values, etc.) Using logical operators in Stata Cross-tabulations Part 2: Data Analysis in Stata  Correlation T-tests OLS and logistic regression (basic syntax, using interaction terms, interpreting output) Visualization (histograms, bar graphs, scatter plots) Regression postestimation (getting predicted values, basic graphs) Merging and appending datasets Part 3: Stata Programming Local and global variables (macros) Looping (foreach, forvalues) Reshaping data between wide and long formats Recalling and using command output Generating nicely formatted journal-style tables Prior knowledge: A basic understanding of variables (nominal, ordinal, continuous), descriptive stats (mean, standard deviation), correlation, and regression will be assumed. Technology requirement: Please bring a laptop with Stata installed. You can install a trial version of Stata. Please arrive 15 minutes early for installation assistance. Workshop materials: https://github.com/dlab-berkeley/stata-fundamentals

See organizers' website for details. In this hands-on workshop, we will learn how to create web graphics for your digital publishing projects and websites. We will cover topics such as: image editing tools in Photoshop; image resolution for the web; sources for free public domain and Creative Commons images; and image upload to publishing tools such as WordPress. If possible, please install Photoshop in advance. (All UCB faculty and students can receive a free Adobe Creative Suite license: https://software.berkeley.edu/adobe(link is external)).

See organizers' website for details. Wondering what careers to explore as a Math major? Come with your questions and curiosities as this panel of professionals, all with a Math background, share their career paths and suggestions for what you can do while at Cal to establish a relevant career path that leverages your Major and coursework.

See organizers’ website for details Zoom meeting information is linked above on the event page for your workshop under "Online Location/Join Online Event" Arrive punctually Complete the attendance form at the end of the session (the platform does not notify you that your attendance was recorded but if you have any questions or concerns, please feel free to contact us). For attendance tracking ease, we ask that you use your given name as your display name in Zoom.   *This workshop does not fulfill a requirement for the Certificate of Teaching & Learning in Higher Education.

See organizers’ website for details This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic methods for processing spatial data, which are the building blocks of spatial analysis workflows. Coordinate reference systems and map projections will also be introduced.

See organizers’ website for details Toast of Berkeley was established in 2009 to foster a community of people interested in becoming more confident and effective public speakers and leaders. We have created a loyal following of students, educators, and professionals with diverse backgrounds from all over the world. We welcome everyone. Whether English is or isn't your first language, if you are just starting out with leadership or public speaking and wish to improve your skills, come join us! Toast of Berkeley is part of Toastmasters International, a world leader in communication and leadership development, with 357,000 members. Now on Zoom every Tuesday 6:15-7:30pm at https://zoom.us/j/555850585

See organizers’ website for details If you've tinkered in WordPress, Google Sites, or other web publishing tools, chances are you've wanted more control over the placement and appearance of your content. With a little HTML and CSS under your belt, you'll know how to edit "under the hood" so you can place an image exactly where you want it, customize the formatting of text, or troubleshoot copy & paste issues. By the end of this workshop, interested learners will be well prepared for a deeper dive into the world of web design.

See organizers’ website for details Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data. To social scientists, such methods might be critical for investigating evolutionary relationships, global health patterns, voter turnout in local elections, or individual psychological diagnoses. We will discuss basic features of supervised machine learning algorithms including k-nearest neighbor, linear regression, decision tree, random forest, boosting, and ensembling using the tidymodels framework.

See organizers’ website for details The Disabled Student Program invites you to hear from Inclusively, an employment platform and professional network connecting people with disabilities and neurodivergence to top jobs at companies committed to authentic inclusion. Inclusively's employer partners value diverse teams and are specifically seeking disabled talent- they are committed to creating an environment for success from the start. Please use this link to submit topics you want to hear addressed by April 15th (e.g. disability and inclusion in the workplace, accommodations, employer education, etc.) https://docs.google.com/forms/d/e/1FAIpQLSfzefckQWuelIrgSYUDgFydsQ3ONhuCdm78llc6wUoH7O7ydA/viewform To register for free and start applying to jobs, use the UC Berkeley + Inclusively partner page. https://inclusively.com/partnerships/uc-berkeley

See organizers’ website for details You’ve done your homework, talked to professionals in your emergent field, and are ready to begin submitting applications. Learn how to present the skills and experience you’ve developed in grad school and before in the clearest and most compelling manner to your potential employer in your resume and LinkedIn profile. This workshop is designed for graduate students and PhDs in humanities and social sciences although all UC Berkeley graduate students, PhDs and postdocs are welcome

See organizers’ website for details In writing, you develop your argument, incorporating ideas from other people’s writing and attributing to the original sources to support your argument. How is paraphrasing different from quoting or summarizing? How do you paraphrase concepts or narratives that spread across multiple pages? From this workshop, you will learn how to paraphrase effectively for writing a research paper. The session will be offered online. Please register for Zoom participation.  

See organizers’ website for details This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning algorithms, we will use deep learning algorithms to map input data to their appropriately classified outcome labels. You will use the R interface to Keras to become familiar with basic concepts like input and output layers, batch sizes and output dimensions, dropout rates, weight parametrization and bias, backpropagation, and loss, activation, and optimization functions. You will also gain confidence exploring more complex approaches that utilize pretrained and fine-tuned models.

See organizers’ website for details Overview  A brief history of ANNs (Artificial Neural Networks) and an explanation of the intuition behind them. This part aims to give the audience a conceptual understanding with few mathematical barriers, and no programming requirements. Step-by-step construction of a very basic ANN. Although the code will be written in Python, it will be intuitive enough for programmers of other languages to follow along. Using the popular Python library scikit-learn, an ANN will be implemented on a classification problem. High-level libraries reduce the work for a researcher implementing ANN down to tuning a set of parameters, which will be explained in this part. Prior knowledge: D-Lab's Python for Everything or R Fundamentals and an interest in machine learning. Technology requirement: To follow along in parts 2 and 3, it is suggested to install Python via Anaconda. Instructions can be found here.

See organizers’ website for details In this workshop, Digital Learning Services staff will share the top tips we've gleaned from our combined decades of experience supporting faculty and instructors with DIY media content. We'll cover everything from setting up your recording space to utilizing free tools and resources to maximize your digital media workflows. If you’re an instructor looking to create video or audio content for online lectures, flipped classroom activities, blended learning materials, tutorial videos, this workshop is for you.

See organizers’ website for details Mike Holmes is CSO of Ambys Medicines, a Bay Area company pioneering the novel application of cell and gene therapies to reverse liver disease progression and restore liver function. Prior to Ambys, Mike worked at Sangamo, most recently as its senior vice president and chief technology officer. Mike received his Ph.D. in molecular and cell biology from the University of California, Berkeley, and he completed postdoctoral training in the lab of Gerald Rubin.