BIO 101 Introduction to Biology (3 credits) To study a simplified presentation of basic chemical and biological concepts with the emphasis on human body structures and functions and the common systematic disorders, diseases, and malfunction associated with the different systems and their organs.

CHE 101 Principles of Chemistry I (3 credits) This course is a survey course in chemistry. It involves the study of the fundamentals of chemistry with emphasis on bonding, intermolecular forces, properties of the elements, stoichiometry, physical states of matter, the periodic table, chemical kinetics, and the chemistry of materials.

CSC 201 Introduction to Information Technology (3 credits) This is a course that explores different computer hardware, software, applications, and cases that demonstrate their impact on different services and industrial firms.  Coreq.: ENG 203

CSC 203 Introduction to Computer Science (3 credits) This is an introductory computer science course for undergraduate students. The goal of the course is to communicate systematically the essential and fundamental technical principles in computer science and get the big picture: area of research and development in computer science as well as knowing the basics: terminologies, principles and basic theories.

CSC 205 Introduction to Programming (3 credits)  This course covers a general introduction to programming, and a general introduction about problem solving.  In this course, you will get familiar with functions, loop structures, inputting/outputting functions.  At the end of the course the use of pointers is explained in details.

CSC 207 Advanced Programming (3 credits) Introduction to object-oriented programming: Classes and objects, polymorphism, inheritance.  File processing, event driven programming and exception handling.  The students will apply software engineering and object-oriented principles to design and implement medium sized problems. Prereq.:  CSC 205

CSC 210 Data Structures (3 credits) This course explores the data structure programming with C++ and Visual basic in order to demonstrate their advantages and efficiency in the designing process. The themes to be covered are: Arrays, Pointers, Functions (Recursive and Iterative), Queues, Stacks and Trees.  Coreq.: CSC 207

CSC 300 Comp. Org & Assembly Lang. (3 credits)  This course covers an understanding of basic structure of computers and computer organization.  The student will be familiar with machine instructions and programs written in assembly language and interface Input/Output ports to a processor.  All issues to main programs calling nested subroutines will be also the subject of this course.  Prereq.:  CSC 205

CSC 313 Computer Graphics (3 credits) Overview of graphics hardware, basic drawing algorithms, 2-D transformations, windowing and clipping, interactive input devices, curves and surfaces, 3-D transformations and viewing, hidden-surface and hidden-line removal, shading and color models, illumination models, image synthesis and computer animation. Prereq.: CSC 210, MAT 205

CSC 314 Database Systems (3 credits) Introduction to basic concepts of DBMS. Entity-Relationship Model. Relational Model and Languages.  Implementation of Databases -file Organization, indexing, and hashing. Functional dependencies and normalization. Query processing. Security.  Introduction to transaction management - concurrency control and recovery. SQL as a standard for database querying.  Prereq.: CSC 210

CSC 320 Internet Programming (3 credits) This course surveys the many technologies that are used to program multitiered, client/server, database-intensive, Web-based applications. Topics include: HTML, Dynamic HTML, client-side and server-side scripting (with JavaScript, VBScript, and Perl), graphics, eCommerce, security, Web servers, databases (including MySQL), CGI (Common Gateway Interface), Active Server Pages (ASP), PHP, XML (eXtensible Markup Language), and Web Service.  Prereq.:  CSC 314

CSC 332 Systems Analysis & Design (3 credits)  This course introduces the fundamental concepts in system design using both the structured and object-oriented techniques.  Topics covered include designing systems starting from user interface design; logical and physical design; program and database design and implementation; maintenance and documentation. Prereq.:      CSC 210

CSC 341 Operating Systems (3 credits) This course covers Operating Systems architecture and principles. It starts with a brief historical perspective of the evolution of operating systems over the last fifty years, and then covers the major components of most operating systems. This discussion will cover the tradeoffs that can be made between performance and functionality during the design and implementation of an operating system. Particular emphasis will be given to these major OS subsystems: process management (processes, threads, CPU scheduling, synchronization, and deadlocks), memory management (segmentation, paging, swapping) and file systems.  Prereq.:  CSC 210

CSC 365 Programming Languages (3 credits) This course presents a comprehensive introduction to the principal features and overall design of both traditional and modern programming languages, as well as the fundamental issues in the design and use of major programming languages. It introduces a few important programming languages with a difference and prepare students to further study of programming languages and develop an appreciation of a programming language as a tool for software construction, in order to evaluate and choose the language that matches a specific problem. Prereq.:  CSC 210

CSC 380 Algorithm Analysis & Design (3 credits) Basic techniques for designing and analyzing algorithms: dynamic programming, divide and conquer, prune and search, balancing, upper and lower bounds on time and space costs, worst case and expected cost measures. Data structures such as Balancing Search Tree, disjoint set union/find. A selection of applications such as graph algorithms, pattern matching. NP-Completeness. Approximate and Parallel Algorithms.  Prereq.:  CSC 210

CSC 400 Theory of Computation (3 credits) Sets, relations and languages; Finite automata; Context-free languages; Turing machines; undecidability; computational complexity; NP-completeness.  The topics include the Church – Turing thesis, the halting problem, the class, the satisfiability problem, polynomial – time reduction, Cook’s theorem, NP-complete problems.  Prereq.:  CSC 210

CSC 408 Computational Geometry (3 credits) Introduction to basic concepts of geometric computing, illustrating the importance of this new field for computer graphics, solid modeling, robotics, databases, pattern recognition, and statistical analysis. Algorithms for geometric problems. Techniques: convex hulls, Voronoi diagrams, intersection problems, multidimensional searching.  Prereq.: CSC 210

CSC 410 Artificial Intelligence (3 credits)  Mathematical logic: Calculus of propositions and calculus of predicates.  These topics include the Quine algorithm, the theorem of reduction, the theorem of Davis and Putnam, the principle of resolution.  Study of PROLOG and LISP; this includes combinatorial problems such as the tower of Hanoi.  Expert Systems: it includes systems such as frames; introduction to robotics.  Prereq.:  CSC 365

CSC 415 Computer Networks (3 credits) Introduction to data and computer networking, data communication protocols involving a layered set of protocols, e.g., OSI, TCP/IP, LANs and WANs, Data Link standards, Network protocols with emphasis on ATM and IP, introduction to routing, Transport Layer and Application Layer.  Prereq.: CSC 341

CSC 416 Computer Networks Lab (1 credit) This course is a lab curse that will attempt to reinforce some of the networking concepts that were taught in INT 215 “Introduction to Networking Course”.  The lab is structured around exercises that highlight topics such as addressing, subnetting, ARP, DHCP, DNS, Remote Access, LAN Switching, Fault Tolerance etc. The course consists of 45 hours of labs.  Every week a series of exercises are required to be completed.   Lab reports are used to evaluate the students’ understanding of the material and document the exercises.  Students are required to review Introduction to Networking material for each lab.    An accompanying text will used and for each exercise the relevant chapters will be given.   Prereq.:  CSC 415

CSC 417 Software Engineering (3 credits) Introduces the process of software development and the lifecycle, teams, requirement gathering, specification, analysis, design, implementation and testing. Concepts and techniques relevant to the production of large software systems are also covered. Other topics covered include modularity; specification; data abstraction; object modeling; design patterns; and testing. Several programming projects of varying size undertaken by students working individually and in groups. Prereq.: CSC 210

CSC 420 Information Security (3 credits) Security issues in computing, communications, and electronic commerce. Goals and vulnerabilities; legal and ethical issues; basic cryptology; private and authenticated communication; electronic commerce; software security; viruses and other malicious code; operating system protection; trusted systems design; network security; firewalls; policy, administration and procedures; auditing; physical security; disaster recovery; reliability.  Prereq.: CSC 341

CSC 423 Wireless Networks (3 credits) This course covers key networking topics, including technology and architecture, network design, types of networks, and applications. It focuses on technical matters, wireless communication technology, wireless networking, and wireless LANs.  The course discusses traffic analysis, Fourier analysis, and data link control protocol, spread spectrum, error correction techniques, propagation, and transmission.  Prereq.: CSC 415

CSC 430 Information Theory (3 credits) Shannon’s theorem. Kraft’s and McMillan’s inequalities. Optimality and Huffman codes. Information and Entropy. Data compression using ad hoc methods and dictionary-based methods.. Noisy channels and the channel coding theorem. Hamming distance, Gilbert-Varshamov bounds, error correcting codes. Prereq.: CSC 210

CSC 441 Systems & Networks Admin (3 credits)  This course covers the best practices of System and Network Administration though theoretical and practical materials and exercises. It examines the major areas of responsibility for system administrators and covering system and network planning, building, configuring and running reliable network/system services, creating security policies and enforcing them and finally maintaining those services.  Prereq.: CSC 415

CSC 450 Compilers Design (3 credits) The course covers fundamentals of compiling techniques. Topics include lexical analysis, syntax analysis, syntax-directed translation, type checking, run-time environments, code generation, and code optimization. The students will construct a compiler for a subset of the C language. Prereq.: CSC 400

CSC 454 Logical Specifications (3 credits) Logic and the lambda calculus and their use as declarative languages in computer science. Syntax and semantics of propositional and predicate calculus, higher-order logic and strongly-typed, polymorphic, pure functional programming languages. Rigorous program verification and proving correctness of programs, type inferencing in pure functional programming languages. Applications in artificial intelligence and software engineering. Computational tools, including Haskell and Prolog.

CSC 455 Embedded Systems Programming (3 credits) Embedded microprocessors appear in everything around us, including televisions, remote controls, DVDs, PDAs, and routers. Developing software for embedded processors is different than developing standard computer software. The course begins with an introduction to nonreal-time and real-time operating system. Scheduling techniques like rate-monotonic and earliest deadline first are studied.  Concurrent programming techniques, such as interrupt handling, buffer management, polling and time outs are introduced. Design, implementation and testing using high level software, such as C.

CSC 456 Data Mining (3 credits)

CSC 457 Computational Linguistics (3 credits)   Computational linguistics deals with the algorithms, structures and techniques needed to build natural language understanding systems. Syntax, semantics and pragmatics of natural languages. Context-Free Grammars and parsing in Prolog. Logical semantics and higher-order logics in semantic interpretation. Defeasible reasoning in discourse-level ambiguity resolution, such as lexical ambiguity resolution, anaphora resolution and the resolution of quantifier scope ambiguities.

CSC 490 Senior Project (4 credits) Introduction to the principles and practice of product design in Computer Science: specification, evaluating design alternatives, technical reports and presentations, and independent design projects. Senior Standing

CSC 491 Topics in Computer Science (3 credits) The primary objective of this course is to study topics that are not covered by other courses. The fundamental theory and practice of implementing a complete solution in various fields such as telecommunications, database management, software development, IT deployment strategies and tools, etc. .

CSI 501 Foundations of Computing Science (3 credits) This is a graduate-level course covering the foundations of computing science including advanced programming, data structures and algorithm analysis, complexity analysis, formal languages, software analysis and design, programming language technologies and paradigms, theory of relational database. This is a condensed course intended for graduate students that lack an undergraduate degree in Computer Science.

CSI 502 Foundations of Computing Systems (3 credits) This is a graduate-level course covering the foundations of computing science including digital systems, computer architecture, operating systems, and computer networks. This is a condensed course intended for graduate students that lack an undergraduate degree in Computer Science.

CSI 530 Advanced Topics in Software Engineering (3 credits) This course will focus on the principles, notations, methods and tools needed for the production for the production of quality maintainable software using the full power of object orientation. Main topics include: fundamental software engineering principles, how to specify code using abstract data types and classes, how to develop implementations seamlessly and reversibly from specifications, the production of reliable code via contacts, design  methods and formal methods for verifying the correctness of industrial strength programs, design patterns/heuristics and implementing complicated business rules in an object-oriented design.

CSI 550 Advanced Computer Networks (3 credits) Advanced topics in computer networking covering data link layer: Bridges and Switches, Spanning Tree algorithm, VLANs; Network Layer: Static Routing, Dynamic Routing such as Distance Vector and Link State Protocols, Congestion control, Multicasting, IPv6; Mobile IPv6; Transport layer: UDP and TCP; Application layer.

CSI 551 Data Communication Protocols (3 credits) This course examines the design of MAN and WAN. It covers the different protocols and techniques used in such design e.g. X.25, Frame Relay, PPP, Leased Line, ISDN, DSL and ATM.

CSI 553 Wireless Networks (3 credits) This course provides a foundation for understanding and building wireless networks. It covers Air interference design; wireless medium characteristics, media access, Wireless network operation: planning, mobility management, radio resources, power management and security. It also covers implementation of cellular telephone and mobile data networks based on CDMA, TDMA, and GSM. Finally, it discusses key wideband local access technologies, emerging Ultra wideband technologies, and Bluetooth.

CSI 554 Signaling in Telecommunication Systems (3 credits) This course covers the different signaling used in modern telecommunication systems, such as ISDN, CCITT, Signaling in GSM including MAP, MSSMAP, INAP, CS1. Signaling in VolP: H.323, SIP.

CSI 596 Directed Studies (3 credits) This is a course designed to allow students to investigate a subject matter in depth. The student selects a topic and an instructor who will supervise the work. It is expected that this course will contain a research component related to the student’s research project.

CSI 599 Thesis in Computing Science (6 credits)

EEN 204 Principles of Electric Circuits (3 credits) Formulation and solution of circuit equations, network theorems, sinusoidal steady-state analysis, simple transients.  Prereq.: MAT 204

EEN 220 Digital Fundamentals (3 credits) Number systems, Boolean algebra, minimization procedures, combinational logic functions, introduction to sequential logic design, finite state machines and clocked (synchronous) sequential circuits. Analysis, synthesis and implementation are appropriately emphasized. A course offered by the department of Electrical and Computer Engineering.

EEN 221 Digital Fundamentals Lab (2 credits) Principles of instrumentation and data analysis and the development of methods of experimental analysis for testing theories and hypotheses Prereq.: EEN 220

EEN 222 Digital Signals & Filtering (3 credits) This course deals with Spectrum representation, frequency response, sampling and filtering. In addition, we deal with digital signals/ systems and the corresponding Z transforms.

EEN 231 Electric Circuits Laboratory (1 credit) Principles of instrumentation and data analysis and the development of methods of experimental analysis for testing theories and hypotheses.

EEN 311 Electromagnetic Fields I (3 credits) Electrostatic and magnetostatic fields and sources, boundary conditions; introduction to Laplace's and Poisson's equations; quasi-stationary and time-varying fields; Maxwell's equations and circuits concepts. Prereq.: MAT 225

EEN 320 Microprocessor System Design (3 credits) Review of clocked sequential circuits; MSI/LSI devices and applications, including registers, busing, combinational functions; use of microprocessors and logic design using microprocessors. Emphasizes assembly of full functional units into workable systems.  Prereq.: EEN 220

EEN 330 Microelectronic Circuits (3 credits) Small and large signal characteristics and models of electronic devices namely Op Amp, diodes, the BJT’s and FET’s; analysis and design of elementary electronic circuits involving the aforementioned devices.

EEN 331 Microelectronics Laboratory (2 credits) ECE 331 Microelectronics Laboratory (2, 2, 0). Study of the characteristics of the electronic components such as Diodes, OP-AMPS, BJTs and FETs. Experiments are reported and circuits will be simulated using Pspice installed in simulation and study room.  Prereq.: EEN 330

EEN 340 Signals and Systems (3 credits) Use of Transforms in analysis and design, state-space methods, feedback and communication systems, introduction to stochastic processes.  Prereq.: MAT 203, EEN 222

EEN 440 Microprocess. & Digit. Des. Lab (3 credits)  This is a course that applies the theoretical studies in microprocessor systems into the MC09B microprocessor and into micro controllers systems.  The main focus is on low level programming in addition to C-low level interfaces for PIC programming.  Prereq.:  EEN 320, EEN 222

EEN 443 Communication Theory (3 credits)  The course covers signal transmission, Linear (Amplitude) and exponential (Phase and frequency) continuous wave modulation, pulse modulation, analog communication systems behavior in presence of noise.  Heterodyne receiver and FM stereo.  Prereq.:  MAT 205

EEN 450 Software Engineering I (3 credits) Methods and tools for software specification, design, and documentation. Emphasis on architectural modularity, encapsulation of software objects, and software development processes such as design review, code inspection, and defect tracking. Students working in teams apply these ideas to design and document software products. Study of professional ethics, responsibility, and liability.  Prereq.: CSC 400

EEN 460 Computer Architecture (3 credits) Covers basic concepts of computer system design and communication between components, along with current and historical examples of computer architecture.  Prereq.:  EEN 320

EEN 470 Printed Circuit Board Technology (3 credits)  Covers PCB specifications, Designing and Defining PCBs, Manufacturing , Testing, Multilayer Process, Managing the PCB Business. Senior Standing

EEN 471 Microcomputers Technology & Devices (3 credits) Covers fundamentals of microcomputers technology and the various types of devices such as handheld pocket personal computers weighing 1 pound or less.. two way wireless messaging.  It will cover how PDAs may supplant book-style personal organizers and calendars, as well as allow transmission of personal messages.  Prereq.: EEN 320

EEN 480 Telecommunication Tech. (3 credits) This course covers topics in Telephone systems and the various Network/ links currently in operation. In addition Broadband and ATM as well as Cellular/ Mobile Radio Technologies will be investigated. Network design and configuration, Net management and QoS Techniques.  Prereq.: EEN 340

EEN 481 Data Transmission and Computer Networks (3 credits) The course covers the principles of data transmission, transmission media (guided and unguided), digital and analog data encoding techniques, Data communication interface and link control. Finally, it covers the three most common types of multiplexing techniques; Frequency Division Multiplexing, Synchronous Time Division Multiplexing, and Asynchronous Time Division Multiplexing. Prereq.: EEN 340

EEN 490 Laboratory – Senior Project (4 credits) Special computer engineering projects that require designed and innovation. Advisor Consent

EEN 497 Special Topics in Engineering (3 credits) This course covers one or more advanced topics in Engineering. This course is offered only when there is an opportunity to present material not included in the established curriculum; the subjects vary from term to term.

EEN 506 Computer Vision (3 credits) Covers the theory, methods and applications of computer vision. Topics include binary machine vision, multi-scale vision, color vision, low-level and high-level vision, 2-D and 3-D vision with both static images and dynamic scenes. Prereq.: MAT 203, MAT 255

INT 511 Standards and Evaluation Criteria (3 credits) Information security exists in the context of an organization. These are the owners and users of the vulnerable systems and information, and ultimately it is they who suffer from the threats and loss. Over the last few years, a variety of security-related standards have been produced by international standards bodies. This course examines some of the most important of these standards in detail. They are presented within the context of the OSI security architecture. The course also covers existing security evaluation criteria, the current process for evaluation secure systems, and guidelines for managing IT security.

INT 513 Multimedia Information (3 credits) Introduction to the past, present, and future of the theory and practice of multimedia information systems. Explores the concepts and methods of the multimedia production cycle comprising the creation, description, retrieval, editing, management, distribution, and reuse of digital media. Gain theoretical background and practical experience to design, and assess digital multimedia information systems. Investigate automated media analyses and media asset management as well as current media standards.

MAT 100 College Algebra (4 credits)  Real numbers and their properties; first-degree equations and inequalities; exponents and polynomials; operations with rational expressions; radicals, and rational exponents; Quadratic equations, inequalities; equation of a straight line; systems of equations and inequalities; functions; exponential functions; logarithmic functions. Coreq.: ENG 010

MAT 101 Calculus I (3 credits)  Functions and graphs; Trigonometric functions; Logarithmic and exponential functions; Rate of change; Limit and continuity; Tangent lines; Derivatives; Differentiation rules; Applications of derivatives: extreme values, graphing functions, optimization and differentials. Prereq.: Placement or MAT100

MAT 102 Calculus II (3 credits)  Indefinite integrals; Definite integrals; Techniques of integration: integration by substitution, integration of trigonometric functions, integration of transcendental functions, integration by parts, integration using partial fractions and trigonometric substitutions; Applications of integrals: differential equations, area, and volume; L’Hôpital’s rule. Prereq.: MAT 101,  Coreq.: ENG 010

MAT 203 Calculus III (3 credits)  Improper integrals; Sequences; Infinite series; Power series; Taylor and Maclaurin series; Functions of several variables; Partial derivatives; Linearization; The chain rule; Directional derivatives and tangent planes; Extreme values; Lagrange multipliers; Double integrals; Triple integral.  Prereq.: MAT 102

MAT 204 Discrete Mathematics (3 credits)  Logic; Propositional Equivalences; Predicates and Quantifiers; Methods of Proof; Sets; Functions; Proof Strategy; Mathematical Induction; Recursive Definitions; Permutations and Combinations; Relations and Their Properties; Representing Relations; Equivalence Relations; Introduction to graphs; Graph Terminology; Introduction to Trees.  Prereq.: MAT 101

MAT 205 Linear Algebra (3 credits)  Matrices and their properties; Methods for solving systems of linear equations; Gaussian and Gauss-Jordan elimination; Vector spaces and subspaces; Inner product spaces; Gram-Schmidt process; determinants and their properties; Cramer’s rule; Eigenvalues and eigenvectors; Diagonalization; Linear transformation.  Prereq.: MAT 101, Coreq.: ENG 020

MAT 221 Calculus for Business (3 credits)  Equations of straight lines; Matrices: matrix operations, matrix inversion; Cramer’s rule; Quadratic functions; Exponential and logarithmic functions; Demand and supply functions; Revenue; Cost; Profit; Compound interest; Derivatives; Marginal functions; Integration of functions of one variable.

MAT 225 Ordinary Differential Equations (3 credits)  First-order equations: Exact, Separable, Linear, Bernoulli; Higher-order linear differential equations; Homogeneous equations with constant coefficients; Non-homogeneous equations; Undetermined coefficients; Variation of parameters; The Cauchy-Euler Equation; Power series solutions.  Prereq.: MAT 102,Coreq.:ENG 020

MAT 315  Numerical Methods (3 credits)  Error definitions, round-off errors; The Taylor Series; The bisection method; The false position method; Simple fixed-point iteration, The Newton-Raphson method; The Secant method; Muller’s method; Gauss elimination; Least squares  regression; Interpolating polynomials; Numerical integration.  Prereq.: MAT 102

PHY 101 Physics I (3 credits) Elements of vector calculus, position, velocity and acceleration. Motion in one and two dimensions. Dynamics of point particles, Newton’s laws, gravitation, concept of force, freely falling objects, projectile motion, circular motion. Work, energy and power. Kinetic and potential energy. Conservation of total energy.

PHY 203 Rigid Body Mechanics (3 credits) Vector representation of forces and moments; general three-dimensional theorems of statics; free bodies; two-and three-dimensional statically determinate frames; centroids and moments of inertia of areas. Absolute motion of a particle; motion of rigid bodies; rotating axes and the Coriolis component of acceleration; Newton's laws applied to translating and rotating rigid bodies; principles of work and energy and impulse and momentum in translation and rotation; moments of inertia of masses.  Prereq.: MAT 203

PHY 310 Modern Physics for Engineers (3 credits) The course will cover the physics laws of special relativity; quantum mechanics; solid state physics, particle physics. It also covers the engineering side and application of these laws from global positioning systems, lasers, quantum engineering, to nuclear magnetic resonance

PHY 320 Fluids, Waves & Optics (3 credits) Traveling and standing waves, the wave equation, fluids dynamics, sound and light, geometric and physical optics.  Prereq.: MAT 225

PHY 421 Semiconductor Electronics Devices (3 credits) Introduction to quantum mechanics, crystal properties and growth of semiconductors, energy bands in solids, charge carriers in semiconductors, excess carriers in semiconductors, and introduction to diodes and transistors. Prereq.: PHY 320 or Equivalent

PHY 422 Opto-Electronics Devices (3 credits) The course covers Dielectric Waveguides and Optical Fibers, Light Emitting Diodes, Stimulated Emission Devices Lasers. Photodetectors. Photovoltaic Devices. Polarization and Modulation of Light.  Prereq.: PHY 421 or permission of instructor

PHY 440 Integrated Circuit Fabrication Technology (3 credits) A treatment of the theory and processes involved in the fabrication of integrated circuits.

STA 211 Statistics for Business (3 credits) Covers basic statistical techniques emphasizing business and economic applications. Topics covered include graphical and numerical data summary techniques, elementary probability theory, probability distributions, sampling distributions, estimation, and simple regression. Prereq.: MAT 221

STA 315 Probability and Statistics (3 credits)  Basic statistical techniques emphasizing engineering and science applications. Topics covered include graphical and numerical data summary techniques, population models, probability theory, probability distributions, mathematical expectation, sampling distributions, estimation, hypothesis testing, simple regression, statistical quality control. Prereq.: MAT 203