PHYS2200 - Applied Data Science - Deep Learning and Artificial Intelligence

Status
A
Activity
LEC
Section number integer
1
Title (text only)
Applied Data Science - Deep Learning and Artificial Intelligence
Term
2024C
Syllabus URL
Subject area
PHYS
Section number only
001
Section ID
PHYS2200001
Course number integer
2200
Meeting times
TR 1:45 PM-3:14 PM
Level
undergraduate
Instructors
Masao Sako
Description
This is the second of a two-semester gateway course on programming, data analysis, and data science in Python. This semester will focus on big data, machine learning, and artificial intelligence and we will dive deeper into the practical applications of these data science methodologies using real-world data. Topics covered include supervised and unsupervised machine learning, decision trees, random forests, neural networks, and deep learning. Some modern methods such as transformers and generative AI will also be discussed. Finally, we will explore effective ways of using AI chatbots such as ChatGPT for efficiently building software.
Course number only
2200
Use local description
No