Upcoming Events

This workshop addresses the unique challenges and opportunities of implementing active learning strategies in large, introductory lecture settings, which are crucial as they often mark the beginning of a student's journey into a specific discipline or way of thinking. Research in educational pedagogy supports the effectiveness of active learning, particularly in large classes. However, students in large classes might feel skeptical about engaging in active learning, given that large classes often rely primarily on lecture. In this workshop, we will explore strategies for incorporating active learning into large classes, as well as some techniques for engaging large groups of students in your rationale for using active learning.

This three-part interactive workshop series is a follow-up to D-Lab’s Python Fundamentals. It covers loops and conditionals, creating your own functions, analysis and visualization in Pandas, and the workflow of a data science project. Learning Objectives After completing Python Intermediate, you will be able to: Understand and write for-loops. Understand and write if-statements. Write your own functions. Do basic operations in Pandas, including simple visualizations. Understand the basic workflow for a data science project. This workshop does not cover the following: Navigating Jupyter Notebooks, assigning variables, data types, and error messages. These are covered in Python Fundamentals. Advanced DataFrame manipulation. This is covered in Python Data Wrangling. Advanced data visualization. This is covered in Python Data Visualization. Workshop Structure Python Intermediate has 3 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Part 1: Control Flow and Functions Part 2: Data Analysis and Visualization Part 3: Project

This three-part interactive workshop series is a follow-up to D-Lab’s Python Fundamentals. It covers loops and conditionals, creating your own functions, analysis and visualization in Pandas, and the workflow of a data science project. Learning Objectives After completing Python Intermediate, you will be able to: Understand and write for-loops. Understand and write if-statements. Write your own functions. Do basic operations in Pandas, including simple visualizations. Understand the basic workflow for a data science project. This workshop does not cover the following: Navigating Jupyter Notebooks, assigning variables, data types, and error messages. These are covered in Python Fundamentals. Advanced DataFrame manipulation. This is covered in Python Data Wrangling. Advanced data visualization. This is covered in Python Data Visualization. Workshop Structure Python Intermediate has 3 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Part 1: Control Flow and Functions Part 2: Data Analysis and Visualization Part 3: Project

Want a chance to hear from experts studying the root of what’s driving us apart and how we come back together? Eager to build the skills to listen empathetically, elicit narratives of connection, and interview professionally? Looking for a chance to engage with groundbreaking documentary films that push us to expand our perspective? Come join The Othering and Belonging Institute’s Campus Bridging Project and The Social Cohesion Lab, along with our collaborators and co-sponsors (The Greater Good Science Center, Berkeley Haas DEIJB and Berkeley Haas HBSA) for a Depolarization Day on April 6th, 2024 from 10am-4pm. The interest form can be found here.

This three-part interactive workshop series is a follow-up to D-Lab’s Python Fundamentals. It covers loops and conditionals, creating your own functions, analysis and visualization in Pandas, and the workflow of a data science project. Learning Objectives After completing Python Intermediate, you will be able to: Understand and write for-loops. Understand and write if-statements. Write your own functions. Do basic operations in Pandas, including simple visualizations. Understand the basic workflow for a data science project. This workshop does not cover the following: Navigating Jupyter Notebooks, assigning variables, data types, and error messages. These are covered in Python Fundamentals. Advanced DataFrame manipulation. This is covered in Python Data Wrangling. Advanced data visualization. This is covered in Python Data Visualization. Workshop Structure Python Intermediate has 3 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Part 1: Control Flow and Functions Part 2: Data Analysis and Visualization Part 3: Project

This session is for graduate students, PhDs and postdocs. Join us for an online Ask Me Anything session. Topics can range from career exploration, to job search, negotiation strategies and more. Bring your questions!

The GSI Center’s Workshops on Teaching for GSIs cover a wide variety of topics related to university teaching and the GSI experience. The purpose of the series is to offer GSIs, and other graduate students interested in teaching, opportunities for hands-on learning and practical discussion about pedagogy.

All majors and degree levels are welcome to attend. This fair is open to currently enrolled UC Berkeley students and eligible alumni with a current Handshake account. Be sure to bring your UC Berkeley Student ID and copies of your updated resume to the fair. Business casual attire is recommended. Note: To view participating employers, select 'All Employers' and choose your filters of interest. This directory is updated in real-time, so check back often as the fair approaches!

How can we use neural networks to create meaningful representations of words? The bag-of-words is limited in its ability to characterize text, because it does not utilize word context. In this part, we study word embeddings, which were among the first attempts to use neural networks to develop numerical representations of text that incorporate context. We learn how to use the package gensim to construct and explore word embeddings of text.

New faculty members commonly describe: Working long hours but making little progress on their research and writing A sense of loneliness that stems from limited mentoring and community Feeling unsupported in their desire for work-family balance and without the skills to achieve it Wondering whether the academic path is the right career choice This webinar is specifically designed to address these issues and provide participants with concrete skills to successfully transition from graduate student to professor. Specifically, participants will learn: The three biggest mistakes that new faculty make in managing their time Why and how to align work time with institutional and personal priorities How to create time for academic writing and research How to organize a network of support and accountability for writing productivity and balance

Discover skills that elevate your career potential across any field. Our facilitators will provide insights on identifying and leveraging your existing academic skills, and developing new skills for diverse job settings. This interactive and hands-on session assists you in bridging between your academic experience and non-academic professional opportunities. This workshop will be particularly beneficial for those who have attended a GradPro career exploration workshop, but previous experience with career exploration is not required. All UC Berkeley graduate students and postdoctoral fellows are welcome to attend. The registration form will close at 11:59pm on Wednesday, April 10. The Zoom link for the event will be shared with registrants closer to the event date. For questions or any disability-related accommodations, please contact Haripriya Sathyanarayanan at [email protected].

Thank you for your interest in the "Skills and Strategies to Manage Depression and Anxiety in Grad School" workshop offered by Graduate Peer Support Providers at UC Berkeley. This workshop is free and available for all graduate students at UC Berkeley. Please complete this registration form to let us know if you will be able to join us! This virtual workshop is scheduled for Friday, April 12th, 9:30-10:30 am. We will follow up via email to provide further information after you register.

Natalia Caporale, Associate Professor of Teaching, Department of Neurobiology, Physiology and Behavior, UC Davis will present tips and insights for trainees wanting to improve their teaching skills and create learning environments more inclusive for all students. Read about Natalia’s background and research focus! Plus: Don’t miss Natalia’s career talk and career mentoring sessions You do not need to pre-register for this event

Professionals in Residence - QB3-Berkeley Graduate and Postdoc Career Development with Dr. Natalia Caporale, Associate Professor of Teaching, Department of Neurobiology, Physiology and Behavior, UC Davis Friday, April 12, 2024 11am - Career Conversation, “Becoming a Tenured Track (Teaching) Faculty in R1 with a Focus on Teaching and Student Success” Mentoring Groups - location TBA after registration 1:05-1:45 - Transitioning from STEM research to Education Research 1:45-2:25 - Finding Teaching Opportunities during your PhD/Postdoc 2:35-3:10 - Job Search advice for those Actively on the Market Register

Peerceptiv is a peer collaboration tool now available for all UC Berkeley classes as part of a pilot. It facilitates peer assessment, producing research-validated grades for students and improving their learning outcomes. In this workshop, you will: Explore various ways Peerceptiv peer assessment is used to increase student engagement, improve skills, and reduce grading time. Learn how it integrates fully with bCourses and is user-friendly for students. Understand how to set up an assignment in bCourses and in Peerceptiv, enabling you to add peer review to an existing or new assignment in your course. By the end of this workshop, you'll be equipped with the knowledge to implement effective peer assessment in your courses. Please note Berkeley is currently piloting this tool. This session will be held via Zoom. Please register to get the Zoom link.  ➡️Register for this event here!⬅️ ***Registration for this session will close one hour before the session***

The rapid development and popularization of generative AI and tools like ChatGPT have dramatically changed how we all work, study, teach, and learn. How are these technologies affecting our students and how we support their learning? In this panel discussion, we’ll hear from experienced GSIs about how they have adapted since the introduction of LLMs: how the technologies work, how instructors can use them to support teaching and learning, and how to center equity and inclusion as we teach students to be critical and responsible users of AI.

This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.

Do you find yourself struggling to deliver high-impact development opportunities to all your talent? HR and L&D professionals play an important role in equipping the workforce with the skills and tools needed to do their best work and be their best selves, but with so many leaders—each with varying needs at different levels—this can be a big ask. Join experts from the Center for Creative Leadership for a discussion about building a workplace culture that supports growth and development at scale. In this session, you’ll learn: • The benefits of equipping your organization with scalable, high-impact development opportunities for leaders at all levels • The importance of building a workplace culture that fosters learning, trust, and psychological safety • The impact of leadership development training on employee engagement and retention Primary Capability Covered: Career & Leadership Development Participation in this event, either live or recorded, can be reported for one (1) professional development point toward initial certification or recertification requirements for the APTD or CPTD credential.

Come to this group appointment with the BCE career counselor and fellow students to explore U.S. employers exempt from the H1B lottery. Discover the types of employers eligible for this exemption, learn about resources to uncover their opportunities, and strategies for applying to these positions.

This workshop offers a general introduction to the GPT (Generative Pretrained Transformers) model. We will explore how they reflect and shape our cultural narratives and social interactions, and which drawbacks and constraints they have. We will explore the transformer architecture upon which GPTs are built, how GPTs encode natural language into embeddings, and how it predicts text. We will also use geometric similarity approaches to represent varying types of similarity between words.