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Course Criteria
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3.00 Credits
Prerequisites: CIS 360 or permission of the instructor Foundations of computer vision. Image formats, projection models, regions, filters, edge detection, segmentation, shape description and representation, object recognition and understanding, and stereo-vision are discussed.
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3.00 Credits
Prerequisites: CIS 360, CIS 370
A broad overview of robotic paradigms and architectures. This course will study various issues related to robotics from industrial manipulators to Urban Search and Rescue (USAR). The influence of biological systems on Robotics will be presented. The three fundamental paradigms ?hierarchical, reactive and hybrid will be presented. Multiple representative architectures for each paradigm will be discussed. Sensors, their properties and their role in robotics will be discussed. Computer Vision, as related to Robotics, will be presented. The course will have a strong hands-on practical component including building robots and testing the various architectures through assignments.
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3.00 Credits
lectures; 3 hrs per week Prerequisites: CIS 360
Fundamentals in image analysis and processing. Topics in image processing such as display and filtering, image restoration, segmentation, compression of image information,& warping, morphological processing of images, wavelets, multi-resolution imaging& and unitary transforms are discussed.
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3.00 Credits
Prerequisites: CIS 361 Organization of a compiler including lexical and syntax analysis, symbol tables, object code generation, error detection and recovery, code optimization techniques, and overall design. Compilation techniques and run-time structures in block-structured language.
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3.00 Credits
Prerequisites: CIS 370 Topology of computer networks. Physical transmission. Error handling. Protocols. Satellite, packet radio, and local networks. Network interconnection. Security. Applications of computer networks.
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3.00 Credits
lectures; 3 hrs Prerequisites: CIS 370
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3.00 Credits
lectures; 3 hrs per week Prerequisites: CIS 360, CIS 370 &
Introduction to computer and information system security. This course introduces the threats and vulnerabilities in computer and information systems. This course covers elementary cryptography, program security, security in operating systems, database security, network security, web and e-commerce security. It also covers the administration, legal, ethical and privacy issues in computer security.
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4.00 Credits
3 hours lecture; 2 hours laboratory Prerequisites: CIS 280, 362 Software engineering models and processes; total quality management. The course will address the technical, logistical, and social issues associated with the software development process. It will cover the issues of total quality management at the team and enterprise levels.
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3.00 Credits
Prerequisites: CIS 280, 370 Parallelism and distribution of processing; software bus concept; patterns in software design. The course provides an in-depth discussion of the software systems wit multiple processes and of the relationship between concurrency and distribution of processes. The concept of the software bus, the existing standards, and the issues associated with their implementation are covered.
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3.00 Credits
Prerequisites: CIS 360 Constructing computer programs that automatically improve with experience is the main task of machine learning. The key algorithms in the area are presented. Learning concepts as decision trees, artifical neural networks and Bayesian approach are discussed. the standard iterative dichotomizer (ID3) is presented, the issues of overfitting, attribute selection and handling missing data are disucssed. Neural nets are discussed in detail, examples of supervised and unsupervised learning are presented. Instance-based learning, i.e. k-nearest neighbor learning, case-based reasoning are introduced. Genetic algorithms are discussed on introductory level.
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