2023年6月9日 · I came into CS 159 with essentially no coding knowledge at all besides having written less than 5 loops ever in C++. I found the first few homeworks to be a little challenging, …

Welcome to CS 159! The goal of the class is to bring students up to speed in two topics in modern machine learning research through a series of lectures. Students will then go on to conduct a …

Predictive control is ubiquitous in industry, with applications ranging from autonomous driving to large scale interconnected power systems. The first half of the class will explore the …

Coursebook for CS 159 C Programming Applications for Engineers at Purdue University. Includes lecture notes, exams, and solutions.

Here, we will cover a range of methods (autoencoders, graph embedding techniques, symbolic representations, and self-supervised learning) and help students make connections to …

CS 159 explores the concepts of programming using a language and development environment that are new to most students. One objective of the course is to help students recognize how …

Course CS 159 Purdue: Fundamental principles, concepts, and methods of programming in C, with emphasis on applications in the physical sciences and engineering. Basic problem solving …

2016年1月31日 · Chris Mayfield is a Professor of Computer Science at James Madison University. His research focuses on CS education and faculty development at the …

CS 159 explores the concepts of programming using a language and environment that are new to most students. Our objectives are for you to recognize how programming concepts are …

CS 159: Advanced Topics in Machine Learning, Caltech. Spring 2024: Large Language Models for Reasoning ; Spring 2022: Representation Learning for Science ; Spring 2021: Predictive …