Graduate Computer Science
Graduate Computer Science
2023 Spring Term
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IMAGE PROCESSING AND COMPUTER VISION
COMPSCI 736
This course provides a broad introduction to image processing and computer vision. Topics include but not limited to image formation and perception, quantization, contrast enhancement, Fourier transform, compression and restoration, feature extraction and segmentation. Particular focus will be on the theoretical understanding of these methods, as well as their practical applications. The students will use MATLAB to write code.
ALGORITHMS IN THE REAL WORLD
COMPSCI 738
This course will focus on some of the most widely used algorithms and data structures in the "real world", in light of tackling large volumes of data for which classical algorithms are sometimes inadequate. This has led to new techniques that are not only theoretically intriguing, but have a wide range of practical applications.
MATRIX METHODS IN DATA MINING AND PATTERN RECOGNITION
COMPSCI 739
This course focuses on matrix methods in data mining and pattern recognition, and features real-world applications ranging from classification and clustering to denoising and data analysis. The topics covered include: linear equations, regression, regularization, the singular value decomposition, iterative algorithms, classification using singular value decomposition bases, tangent distance, latent semantic indexing, clustering, support vector machines, and random walk and Markov chains.
CRYPTOGRAPHY AND SECURITY PROTOCOLS
COMPSCI 755
This course focuses on the cryptographic solutions to security issues related to confidentiality, integrity, and authentication in networks. The main contents include block cipher and operations; stream cipher; public key cryptography; cryptography-based security protocols in authentication and key management; network, transport, and application layer security in the Internet; and applications of cryptography on security protocols in emerging fields of computing.
ADVANCED SOFTWARE ENGINEERING
COMPSCI 776
This course introduces fundamental software engineering principles and techniques. Students will apply these principles and techniques throughout the course as they work together in teams to develop a software product. Students will also learn about current software engineering research and discuss current issues in the software industry.
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.
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.