Learn to Code with ChatGPT
Large Language Models (LLM) such as ChatGPT possess knowledge not only about human languages but also computer languages. It is now possible to introduce programming basics through ChatGPT. This is a workshop activity in which the participants are invited to join an interactive adventure into the world of LLMs and learn how to code with ChatGPT as a copilot. In this interactive, hands on session. the participants will take a guided tour to see live actions of generative Al tools such as ChatGPT in code generation and problem solving.
If participants have a second screen and good internet access, they can follow along and learn coding in their own OpenAI accounts. Otherwise, they can watch the live interactive session and contribute their own ideas about how to guide the AI to help with coding.
Python and other programming languages will be used, although no prior programming experience is required
Date and Time
Location
Hosts
Registration
- Date: 04 Dec 2023
- Time: 06:30 PM to 07:30 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- Co-sponsored by ACM Baltimore Chapter
- Starts 03 November 2023 12:00 PM
- Ends 04 December 2023 03:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Chang Liu of Ohio University
Biography:
Chang Liu is Professor in Computer Science at Ohio University. Dr. Liu is a software engineering researcher working on the intersection of software engineering, artificial intelligence, mobile and virtual applications. He received his Ph.D. in Information & Computer Science from the University of California at Irvine in 2002.
Dr. Liu has volunteered for the IEEE community for over ten years. He has served as IEEE Region 2 West Area chair, Region 2 Young Professional Coordinator, IEEE Region 2 WIE East Area task leader, and IEEE Columbus Section Young Professional Coordinator. In addition, he had served on the IEEE vTools committee for one year.
Agenda
6:30 PM Welcome and introduction
6:35 PM Presentation
7:20 PM Q&A
7:30 PM Conclude