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Graduate Computer Science
Graduate Computer Science
2019 Summer Term
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BIG DATA AND DATA MINING
COMPSCI 767
This course will cover two main areas: (1) machine learning algorithms that can be applied to "big data" (i.e., data sets of great size and complexity); and (2) distributed file systems and MapReduce as tools to generate algorithms, along with associated hardware innovations to facilitate parallel analysis of big data.
SOFTWARE SPECIFICATION AND VERIFICATION
COMPSCI 778
An overview of languages, logics, techniques, and tools used to specify, analyze, and verify software systems. Students apply these formal methods to model software systems and verify their correctness, study industrial applications of formal methods for critical software components, and research new developments in this area.
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.
INTERNSHIP IN COMPUTER SCIENCE
COMPSCI 793
SPECIAL STUDIES
COMPSCI 796
Group activity. Not offered regularly in the curriculum but which is offered on topics selected on the basis of timeliness, need and interest, and generally in the format of regularly scheduled bulletin offerings.
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 the completion of a master¿s degree. Students must complete a Thesis Proposal Form in the Graduate Studies Office before registering for this course.