Enhancing Online Education: Course Planning micro-course
September 22nd, 8:00am
Ask the Experts: Q&A with NSF Graduate Research Program Faculty Reviewers and Fellows
Graduate School
Disciplinary expertise and interdisciplinary connections
September 22nd, 9:00am–10:30am
Orchard View Room, Discovery Building
Join us for a panel featuring NSF Graduate Research Fellowship Program (NSF-GRFP) faculty reviewers and current fellows. Get insider tips on what makes a strong application, and hear firsthand advice from successful applicants across disciplines. Don’t miss this chance to ask questions and boost your NSF-GRFP application. Applicants must be U.S. citizens, nationals, or permanent residents.
Writing an Effective Teaching Philosophy Statement
Learn what a teaching philosophy statement is and how they are used in the academic job hunt, and explore your own teaching philosophy in a writing group of peers in this interactive, two-part online workshop.
September 22nd, 11:00am–12:30pm
We will discuss elements of teaching statements, evidence of effective teaching tailored for different academic jobs, and strategies to get started or polish existing teaching statements. Participants from all disciplines will become better equipped and prepared to communicate their teaching practice through this workshop’s small group writing and feedback process.
Python 2: Boosting Python With Objective Oriented Programming Methods
Software Training for Students (STS)
Inquiry, discovery, and creation
September 22nd, 5:30pm–7:30pm
This course is designed to help teach Object Oriented Programming and its corresponding syntax in Python. This course assumes you have a basic understanding of procedural programming in Python as taught in the preceding course. Software Training for Students (STS) offers free technology classes for students. If you are a student and would like to attend this class, please enroll via the STS website (sts.doit.wisc.edu).
Python 1: Foundational Python for Beginners
Software Training for Students (STS)
Inquiry, discovery, and creation
September 22nd, 5:30pm–7:00pm
Python is a powerful, cross-platform, easy-to-use programming language. The use of high-level syntax and typeless data makes it especially beginner-friendly and its interpreter makes troubleshooting and debugging a breeze. This class offers an introduction to Python. Software Training for Students (STS) offers free technology classes for students. If you are a student and would like to attend this class, please enroll via the STS website (sts.doit.wisc.edu).
Python Programming: Introduction - Repeat
September 23rd, 10:00am–12:00pm
Online. Workshop link will be emailed to registrants.
This workshop is for the absolute beginner wanting to walk through the process of getting started with Python, a programming language commonly used for data analysis. We’ll work through installation and setup of helpful software and introduce basic concepts and terminology used in Python. Finally, we’ll work together to create your first simple but useful program! This workshop is an exact repeat of the September 16th “Python: Introduction” workshop. Register: https://go.wisc.edu/7l4l52
Writing a Standout Research Story
September 23rd, 1:00pm–3:00pm
An effectively communicated research story is the most critical piece of any funding application. But most researchers find it challenging to write clearly—much less persuasively—about complex, not-yet-completed projects for a reviewer audience. Drawing on example abstracts, aims, and approaches, this session will break down the must-haves of a compelling proposal and your path to get there. This event is part of the Big10+ Research Development Series.
Introduction to NVivo
Disciplinary expertise and interdisciplinary connections
September 23rd, 1:00pm–3:00pm
REGISTRATION IS REQUIRED, PLEASE REGISTER AT https://www.sscc.wisc.edu/sscc_jsp/training/details.jsp?class_id=3021 NVivo is a popular qualitative data analysis software that allows for organization, storage, coding, and analysis of any qualitative data including text, images, and video. This course will provide an introduction to the NVivo interface and cover the following topics: Importing data to NVivo Organizing and coding data Performing analysis