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Course Criteria
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3.00 Credits
Lattice structures and graph theory, algorithms, Boolean algebra, introduction to computability theory and abstract machines. Prerequisite: CS 191 3 hrs
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3.00 Credits
Societal and ethical obligations of computer science, IT, and electrical/computer engineering practice. Topics include ethical obligations of professional practice, electronic privacy, intellectual property, and whistle-blowing. This course is a writing-intensive course. Prerequisites: ENGL 225 (Freshman English II) or equivalent and completion of Written English Proficiency Test (WEPT) 3 hrs
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3.00 Credits
The course covers the syntax and semantics of the Java programmng language along with the use of essential class libraries. These topics will be taught in the context of application development. Students will learn how to write small to medium sized Java applications and applets. Specific topics covered include: essential classes in the Java API, interfaces, inheritance, exceptions, graphical user interface components, layout managers, events, I/O classes, Applets, data base access, and multithreading. Prerequisite: COMP-SCI 201 or equivalent Offered: Every Semester 3 hrs
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3.00 Credits
Abstract data structures and analysis of associated algorithms, abstractions as separate from implementation. Structures include lists, trees, priority queues, advanced tree structures,hashing tables, and graphs. Comparison of efficiency of algorithms as implemented with various data structures. Advanced searching and sorting algorithms, shortest paths, spanning tree and flow algorithms. Introduction to the basic concepts of NP-complete problems. Prerequisites:(must be passed with a C or higher) COMP-SCI 201(or E&C-ENGR 216 for ECE students), COMP-SCI 291, MATH 210. 3 hrs
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3.00 Credits
Basic elements of numerical analysis: numerical solution of algebraic equations, solution of linear simultaneous algebraic equations, matrices, eigenvalues and eigenvectors, numerical integration and numerical solution of linear differential equations. Use of a symbolic manipulator on both symbolic and numerical computation, applied to the above listed basic elements of numerical analysis. Prerequisites: MATH 250, COMP-SCI 201, COMP-SCI 281. 3 hrs
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3.00 Credits
Basic concepts of probability theory. Counting and measuring. Probability, conditional probability and independence. Discrete, continuous, and multivariate random variables. Functions of random variables. Sums of independent random variables and transform methods; random number generation and random event generation. Law of large numbers, central limit theorem, inequalities. Their applications to CS and ECE areas are stressed. Prerequisites: COMP-SCI 201,or E&C-ENGR 216, MATH 250, MATH 235 or E&C-ENGR 341 3 hrs
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3.00 Credits
Representation of signals and systems, Fourier Series, Fourier Transform, transmission of signal through linear system, amplitude modulation systems, frequency and pulse modulation systems, sampling, time division multiplexing, digital modulation and noise in modulation systems. Prerequisites: COMP-SCI 311, COMP-SCI 394R and MATH 250. 3 hrs
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3.00 Credits
Review of Telecommunications techniques; wire, radio, microwave, satellite and optical fiber communications systems; mobile phones, ISDN and broadband ISDN, Signalling System No. 7, CCITT telecommunications standards. Prerequisite: COMP-SCI 311 or consent of instructor. 3 hrs
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3.00 Credits
This introductory course examines the systems aspects of the different LAN/MAN/WAN models, including topics such as protocols, network operating systems, applications, management and wireless communication systems. It also examines how the different models are interconnected using bridges and routers. NOTE: NOT FOR GRADUATE CREDIT. Prerequisites: Senior Standing/Consent of Instructor 3 hrs
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