ONLINE 2024 – Video Game Design in the World of Artificial Intelligence
March 4, 2024 2024-03-07 17:50ONLINE 2024 – Video Game Design in the World of Artificial Intelligence
STEM
Video Game Design in the World of Artificial Intelligence
Learn the fundamentals of computer science, design thinking, and software engineering through the lens of video game design. In this practical course, students will learn the basics of software development and put them to work designing and building a video game while developing critical thinking and problem solving skills. In addition to learning programming fundamentals such as control statements, variables, and object-oriented programming, students will be introduced to design thinking methodology, which was developed at Stanford University, while learning to analyze games from the viewpoint of a designer. Students will investigate the impact of Artificial Intelligence (AI) on the video game industry and apply the skills of a socially responsible global citizen to the development of AI-influenced video games. This course will help students develop the intuition, skill, and inspiration that goes into making a great game and learn how to communicate effectively within an important field in society.
Important note for interested students: No prior programming experience is required.
Program Calendar:
Wednesdays from March 27 to May 29
Real-Time Classe Duration:
5:00 pm to 6:30 pm ET (NY Time)
Small Class Size
20 Students Max
Geoffrey Morris, MS
Stanford University
User Experience Consultant
Geoffrey Morris is an educator, designer, musician, and engineer from San Francisco, California. He studied Cognitive Science, Human/Computer Interaction, and Sound Design at Stanford University, where he matriculated in 2006 with a BS and MS in Symbolic Systems. Since then, he has worked with clients including artists, startups, and global companies as a user experience designer and developer. Geoff has also conducted workshops and seminars at Stanford and UC Berkeley in addition to teaching Media Lab at University of San Francisco. As an Instructor for Stanford Pre-Collegiate Studies for over 10 years, Geoffrey has taught and assisted with courses in Computer Science and Robotics, Mathematical Logic and Problem Solving, and Software Engineering and Game Design.
Some of his work can be viewed at gmolabs.com.
