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Graduate Computer Science

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Graduate Computer Science

2024 Fall Term

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  • This course listing is informational and does not guarantee availability for registration.
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3 Units

MACHINE LEARNING

COMPSCI 732

This course provides a broad introduction to machine learning and pattern recognition. Topics include but are not limited to Bayesian Inference, SVMs, Clustering and Classification, Decision Trees and Ensemble Methods. Particular focus will be placed on the theoretical understanding of these methods, as well as their practical applications.


3 Units

ADVANCED ALGORITHM DESIGN AND ANALYSIS

COMPSCI 733

This course introduces students to advanced techniques for the design and analysis of algorithms, and explores a variety of applications. Techniques to be covered incude graph representation & graph traversal, shortest path, minimum spanning tree, linear programming, network flow, randomization, and approximation algorithms. NP-complete problems and reductions will also be studied.


3 Units

SYSTEM AND SOFTWARE SECURITY

COMPSCI 750

In this course one learns about how to build secure computer systems in detail. Topics include access control and security policy models, information flow, operating system security, malware and reverse engineering, and common software vulnerabilities and related countermeasures. Through labs and projects, one will learn to apply security principles to solve real life problems in computer and related systems.


3 Units

CLOUD COMPUTING

COMPSCI 764

The purpose of this course is to understand the core technical ideas and concepts in designing and using cloud computing systems, covering a broad range of topics that include cloud system architectures, cloud storage and management, cloud programming frameworks, virtualization and resource management, and datacenter networks. It is a blend of lecture, paper readings/presentations, and programming practice using a cloud.


3 Units

ADVANCED DATABASES

COMPSCI 766

This course covers advanced database management system design principles and techniques. Course material includes both fundamental principles and current research. Possible topics include query processing and optimization, transaction processing, distributed databases, object-oriented databases, data warehousing, and data mining.


1-6 Units

CAPSTONE PROJECT

COMPSCI 789

Under faculty supervision, the student will develop, extend, or modify a significant piece of software or a system with significant software components. The student will also write a technical report and give a presentation describing the software product as well as the development process. Fulfills the Applied Research Project option for graduation. Pass/Fail grade basis only.


1-6 Units

INTERNSHIP IN COMPUTER SCIENCE

COMPSCI 793


1-3 Units

INDIVIDUAL STUDIES

COMPSCI 798

Study of a selected topic or topics under the direction of a faculty member.


1-6 Units

THESIS RESEARCH

COMPSCI 799

Guided investigation of an approved thesis topic. Students may receive credit for research activities planned in conjunction with their advisers and leading to completing a master's degree.

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