Topics of current interest in Computational Science and Engineering.

This project-based class offers students the opportunity to critically analyze learning in video games and to design and prototype educational games.  Students will gain insights into perspectives and theories of how people learn and how those theories map to video games. They will explore game mechanics to evaluate their usefulness in promoting learning. Building on these understandings, students will design learning games through several low-fidelity prototypes and a final team-based project to promote learning.  

This course teaches operating system abstractions, mechanisms, and their implementations, including for concurrency (threads) and synchronization, resource management (CPU, memory, I/O), and distributed services.

An introduction to artificial intelligence and machine learning. Topics include intelligent system design methodologies, search and problem solving, supervised and reinforced learning.

Introduction to the theory and practice of educational technology. Covers learning theory applicable to educational technology, explains major research findings. Credit not awarded for both CS 4660 and CS 6460.

Proof methods, strategy, correctness of algorithms over discrete structures. Induction and recursion. Complexity and order of growth. Number theoretic principles and algorithms. Counting and computability. Credit not allowed for both CS 2050 and CS 2051.

Recitation for CS 1331

Recitation for CS 1331