Write a concise and interesting paragraph here that explains what this course is about

Write a concise and interesting paragraph here that explains what this course is about

Graphical and numerical descriptive measures. Introduction to correlation and regression. Basic probability concepts, random variables, sampling distributions, central limit theorem. Large and small sample confidence intervals and significance tests for parameters associated with a single population and for comparison of two populations.

INFX 639 (x-listed with INFX 499) is an intensive introduction to artificial intelligence (AI) with emphasis on how to design and build intelligent applications. Google Colaboratory, along with packages such as Python, TensorFlow, PyTorch, and OpenAI gym, will be used to create powerful AI systems. Topics include: (1) the history of AI; (2) artificial neural networks (ANNs), machine learning (ML); (3) convolutional neural networks (CNNs); (4) recurrent neural networks (RNNs); (5) generative models, including variational autoencoders (VAEs), generative adversarial networks (GANs), and other generative models (e.g., Boltzmann Machines and Hidden Markov Models) to generate pictures and faces; (6) reinforcement learning (RL) algorithms; and (7) the design and implementation of a deep learning application (i.e., one of the following: deep learning for intelligent agents; or deep learning for game playing; or deep learning for finance; or deep learning for robotics).

Practical training in performance and technical theatre as part of mainstage, studio, and/or laboratory production work

This course has an additional cost. Learn more at louisiana.edu/firstyear/first-year-seminar/univ-100-first-year-seminar

This course has an additional cost. Learn more at louisiana.edu/firstyear/first-year-seminar/univ-100-first-year-seminar