Improving your Online Portfolio: A Workshop in Programming Problems
This event is being held by the IEEE Pittsburgh Affinity Group: Women in Engineering (WIE). This will be a recurring workshop to help those who are interviewing or wanting to build up their online portfolio by doing popular online programming problems. While this is a WIE event, this event is open to all.
This is the start of a recurring workshop for improving your online programming portfolio. We will be doing popular online programming problems:
- Leetcode
Date and Time
Location
Hosts
Registration
- Date: 13 Mar 2021
- Time: 10:00 AM to 12:00 PM
- All times are (GMT-05:00) America/Detroit
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- Pittsburgh, Pennsylvania
- United States
- Starts 21 February 2021 03:04 PM
- Ends 13 March 2021 09:00 AM
- All times are (GMT-05:00) America/Detroit
- No Admission Charge
Speakers
Pritika Dasgupta of University of Pittsburgh
Programming
Biography:
Pritika is a 5th year Ph.D. candidate at the Department of Biomedical Informatics at the University of Pittsburgh. She is enthusiastic about her research and is always trying to innovate ways to analyze and describe her insights. Her research is currently about analyzing gait measures from accelerometer signals. She hopes that this research will help the geriatric population and prevent falls from using machine learning and artificial intelligence algorithms. Finally, she is actively passionate about social justice and reform in both academic and community spaces.
You can follow her on twitter: @pritikadasgupta
Email:
Address:Pittsburgh, Pennsylvania, United States
Agenda
30-minute talk followed by a 1.5-hour hands-on session working on two popular programming problems.
At the end of the session, participants will:
· Will have two programming solutions (with help from the speaker) on their Github, bitbucket (or another portfolio source) profile!
Computing Requirements:
If participants want to participate in the hands-on session after the talk, please install beforehand the most recent versions of R (and the tidyverse library), R Studio, and Python. You may use your favorite text editor (I recommend Sublime). It will also be helpful if you have a Github (or alternate) account.