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Course Criteria
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3.00 Credits
Operating Systems Prerequisite: CSC 330 This course will cover the basic tenets of operating systems. Among the points covered are the following: computer systems structure, operating system systems, file system protection, distributed systems structures, distributed coordination, distributed file systems, and case studies. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture School of Arts and Sciences College Mathematics & Computer Science Department
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3.00 Credits
Embedded Micro Controllers Prerequisite: CSC 337 The purpose of this course is to cover the basic elements of embedded micro-controllers. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture School of Arts and Sciences College Mathematics & Computer Science Department
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3.00 Credits
Numerical Analysis Prerequisites: CSC 110 or CSC 231 and MAT 244 Computer solution of problems of interpolation, approximation, numerical integration, polynomial and differential equations, and systems of linear equations. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture School of Arts and Sciences College Mathematics & Computer Science Department
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3.00 Credits
Signals And Systems Prerequisite: CSC 350 Students will investigate the representations of signals for computation by computers and the different descriptions and formalisms for digital systems. The application of computers as embedded control systems is an important subject area for computer science students to study the techniques used in the description and analysis of complicated analog, digital and hybrid systems. In addition, the course provides the theoretical foundations for the diverse areas of Biomedical Informatics, Data Compression, and Computer Simulation and Gaming. 4.000 Credit Hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture School of Arts and Sciences College Mathematics & Computer Science Department
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3.00 Credits
Digital Signal Process Prerequisite: CSC 351 Students will continue their study of the application of computers for the processing of signals. They will learn the techniques to describe, design and implement computer systems for the processing of signals, including one dimensional (audio), two-dimensional (images). Techniques covered include time and frequency techniques for signal representation and processing. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture School of Arts and Sciences College Mathematics & Computer Science Department
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3.00 Credits
Introduction To Wavelet Theory And Applications Prerequisite: Mat 244; CSC 110 or CSC 131 Also offered as MAT 353. An introduction course to the most recently developed wavelet theory and applications by using real world examples and computer assisted visualization. The primary audience is student with interests in engineering, applied mathematics and statistics. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture School of Arts and Sciences College Mathematics & Computer Science Department
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3.00 Credits
Digital Logic Prerequisite: MAT 230 Basic digital logic including binary systems, Boolean algebra, logic gates, simplification techniques, combinational logic, MSI, LSI, sequential logic, registers, counters, memory, RTL, processor logic and logic families. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture School of Arts and Sciences College Mathematics & Computer Science Department
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3.00 Credits
Digital Logic Laboratory Prerequisite: None Optional laboratory offered simultaneously with CSC 355. 1.000 Credit Hours 1.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory School of Arts and Sciences College Mathematics & Computer Science Department
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3.00 Credits
Parallel Processing Prerequisites: CSC 330, MAT 230 The course presents the fundamentals of parallel processing. Included in the course are the taxonomy,classification, and models of parallel processing. Architectures considered are SIMD and MIMD. Applicants discussed are sorting, FFT, dictionary operations, matrix multiplication, numerical algorithms, graph algorithms, combinatorial search, and pipeline processing. Actual implementations are programmed on the department's multi-computer sytem. Three hour lecture; One hour lab. 4.000 Credit Hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture School of Arts and Sciences College Mathematics & Computer Science Department
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3.00 Credits
Topics In Computer Science Prerequisite: Consent of Instructor The treatment of special topics in computer and information science. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture School of Arts and Sciences College Mathematics & Computer Science Department
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