2017-2018 Academic Catalog 
    
    Sep 22, 2019  
2017-2018 Academic Catalog [ARCHIVED CATALOG]

CSCI 201 - Proseminar In Computer Science


The presentation of topics in computer science by and for senior undergraduates. These presentations acquaint students with diverse subjects, introduce them to researching known topics and give them practice in presenting material to their peers. Faculty members will also present some research topics. Possible areas the topics may be drawn from might include robotics, networking, NP complete problems, neural networks, expert systems, parallel algorithms.

 

Fall 2016: Machine Learning

Studies techniques for solving complex problems by learning solutions from simpler data.  Students learn about a variety of Machine Learning techniques, where they are applicable, and their strengths and weaknesses as well as standard methods for evaluating the performance of such systems.  Students investigate these techniques by applying them to a variety of problems.  Specific techniques may include: decision trees, neural networks, hidden Markov models, reinforcement learning, and support vector machines.  Problems may be drawn from image and audio recognition, natural language processing, classification, function approximation, and robotics.  Students gain practical experieince designing, implementing, and testing a project. 

May be repeatable for credit.

Prerequisites: Fall 2016 prerequisites: CSCI 160 or instructor permission.
 

Anticipated Terms Offered: Offered periodically