**0418-511** Algebraic Structures and Logic (3)*Signature, algebras, semigroups, monoids, groups, rings. Homomorphisms and congruences. Term algebras. Signatures with predictable symbols, clauses, models. Conclusion and derivation, soundness and completeness. Predicate calculus. Skolem normal forms: clauses with variables, resolution principle.*

**0418-512** Automata and Formal Languages (3)*The classes of regular, context-free, context-sensitive and recursively enumerable languages. Characterization by grammar. Deterministic and non-deterministic automata, pumping lemma. Undecidable Problems. Algebraic and decidability properties of the language classes.*

**0418-513** Theory of Complexity (3)*Algorithm, Turning machines, computability. Complexity measures based on formal models, time and space, complexity. Tractable and intractable problems. Algorithm design techniques and analysis of the resulting algorithms. Complexity cases. P-NP problem, examples of NP-complete problems. Complexity of parallel computations.*

**0418-514** Principles of Programming Languages (3)*Imperative and applicative programming languages. Syntax, semantics, pragmatics. Compilation and interpretation. Syntactic domains, concrete and abstract syntax. Semantic domains, operational denotational, and axiomatic semantics. Lambda calculus and typed lambda calculus.*

**0418-515** Program Specification and Verification (3)*Total and partial correctness; Pre-and postconditions, verification rules, predicate transformers. Modal and temporal logic. Algebraic specifications, heterogeneous algebras, equations and conditional equations. Structured specifications, specification languages.*

**0418-516** Graph Theory (3)

*The course covers the following topics: directed and undirected graphs, properties of graphs, graphs and subgraphs, trees, connectivity of graphs, Euler and Hamiltonian paths/cycles, Ramsey’s theorem, matching, coloring, independent sets and cliques, planar graphs, and networks.*

**0418-521** Programming Paradigms (3)*Features of imperative (procedural) programming languages, impacts of Von Neumann computer architecture. Object-oriented programming paradigm, objects, Classes, inheritance. Concepts of functional programming and LISP, functional programming. Concepts of logic programming and PROLOG.*

**0418-522** Distributed Systems (3)*Introduction to distributed systems: hardware and software concepts. Communication in distributed systems. Language support. Processing Concepts. Synchronization scheduling and resource allocation. Distributed transaction processing.*

**0418-523** Advanced Databases (3)*New data modeling concepts. Advanced transactions models. Conventional and parallel query processing. Database extensions (temporal databases). Data mining concepts.*

**0418-524** Expert Systems (3)*Structure of Expert System. Classification of Experts Systems and main application areas. Basic cycle of work. Principles of knowledge Engineering. Probability computations for Expert Systems. Reasoning under certainty and inexact reasoning. Fuzzy logic. Rete algorithm. Data structures for Expert Systems. Designing and developing Expert Systems with shells. CLIPS shell. Life cycles for Expert Systems.*

**0418-525** Operating Systems (3)*Modern Operating systems design and construction techniques. Concurrent programming, operating system Kernels, correctness, transaction processing, synchronization problems, fault-tolerance, deadlocks, distributed system structures, distributed file systems and distributed coordination, protection and security, network operating systems, comparative structure of different kinds of operating systems, and other research topics.*

**0418-526** Advanced Computer Networks (3)*Local area and wide-area networks, Internet protocols, TCP/IP, advanced topics in computer networking cellular and wireless, mobile communication systems and mobility management, ad hoc networks, sensor networks satellite networks, mobile IP, Bluetooth, network security and reliability.*

**0418-527** Interconnection Networks (3)

*This course discusses the topological properties of interconnection networks, comparing different* interconnection networks topologies, broadcasting and routing on some well-known interconnection networks, fault-tolerant broadcasting and routing on some well-known interconnection networks, Hamiltonian cycles and Gray codes, and some problems in interconnection networks*.*

**0418-534** Parallel Computing (3)*Sequential and Parallel programs. A descriptive view at sequential and concurrent program execution. Parallel processing models and terminology. Architecture classification. Communication topologies. Performance measures. Principles of organizing parallel algorithms and examples. Concurrent programming languages.*

**0418-536** Advanced Computer Graphics (3)*Modeling real world with computer graphics. Data structures and databases* for computer graphics. Difficulties and methods for* extracting spatial relation of objects. Simulating dynamics of objects. Interacting objects. Particle systems. Constrains in computer graphics. Textures and its design. Architectures of advanced graphics workstations. Virtual reality systems.*

**0418-541** Advanced Artificial Intelligence (3)*Mathematical logic, resolution techniques and automated theorem proving. Problem-solving methodology. Computational systems for problem-solving. Sequential and parallel inference machines. Quasi-chaotic models of computations: Genetic algorithms. Game playing. Machine learning. Natural language processing: syntactic processing, semantic analysis: Selected application of AI.*

**0418-542** Scientific Computing: Mathematical Models and Algorithms (3)*Mathematical modeling using systems of differential equations to model real situations, large systems of linear equations, sparse matrices, pseudoinverse matrices, multilevel methods, factorization. Ordinary differential equations, initial value problems, one-step and multi-step methods for solution, stiff equations, boundary value problems, shooting, difference and variational methods.*

**0418-543** Advanced Numerical Computing (3)*Fitting of data, B-spline representations, calculating with B-splines, knot insertion algorithms, curve fitting with splines, surface fitting, mesh data methods, scattered data methods. Transforms and filtration of data, Fourier transforms convolution and correlation, sampling interpolation, deconvolution problem, reconstruction from projections, discrete projections, iterative image reconstruction. Data fitting with fractals, fractal image, fractal dimension, attractor, compression with quadtree, fractal image coding.*

**0418-544** Software Engineering (3)*Models, notations, the process for software requirement identification, representation, validation, and analysis. Software design process and its models, design state assessment and quality assurance, design verification. Systematic testing of software systems and verification. Measurement and prediction of software reliability. Software project management.*

**0418-545** Computer Systems Architecture (3)*Computational models and computer architecture. Instruction set design, processor architecture, memory organization, I/O and interrupt system. Multiprocessor systems and interconnection networks, resource handling, case studies.*

**0418-546** Design of Microprocessor-Based Systems (3)*Microprocessor systems and components; use of microprocessor systems for control applications. Design, implementation and test of several projects dedicated to microprogrammed control units, embedding microprocessors in control systems, and multiprocessors systems.*

**0418-547** Modeling and Computer Simulation (3)*Basic concepts of modelling, performance metrics, workload selection, data representation. Time-based vs. discrete-event simulation. Simulation of a single server system. Model validation and verification techniques. Random number generators, random variate generation, commonly used distributions. Simulation model analysis, initial transients, confidence intervals, output data analysis. Case studies.*

**0418-551** Introduction to Cryptography (3)*The course starts with some examples of classical cipher systems such as affine cipher, substitution cipher, etc. Next, we study some modern symmetric and asymmetric cipher systems and their security. Chaos-based cipher systems are also introduced. The Diffie-Hellman key exchange protocol is discussed. Digital signatures, hash functions, and message authentication codes which are important tools for authentication and data integrity are also presented.*

**0418-552** Data Mining (3)*Basic concepts, data preprocessing; Association rules, Classification and Prediction; Cluster analysis; Evaluation Techniques; Specialized Techniques.*

**0418-553** Information Theory

*Introduction to Algebra, Entropy, Linear codes, Cyclic codes, BCH codes, Hamming code, Huffman codes, Lempel-Ziv codes, Shannon–Fano codes, Channel capacity, Mutual information, Binary symmetric channel, Gaussian channel.*

**0418-554** Wireless and Mobile Networks (3)*Fundamentals of wireless local area networks and wireless personal communication networks, network protocols, mobile and ad hoc networks, telecommunication protocols, handoff and channel allocation algorithms, cellular concepts, tradeoff reuse, sensor networks, satellite networks, network reliability and performance measures.*

**0418-555** Design and Test of Digital System (3)*Logic design principles, Boolean algebra; logic simulation methods, structural hazards; manufacturing test fundamentals, fault modeling and simulation, automatic test pattern generation algorithms; enhancing testability; advanced testing techniques; test data compaction and compression techniques; integrated circuits vs system-on-a-chip (SOC) design styles and their manufacturing test implications.*

**0418-561** Systems & Network Security (3)

*This course introduces a wide range of security problems in software, systems, and networks. Main topics include principles of systems and network security; classical and modern threat models in computing systems; security in operating systems, browsers, and at the IP stack, transport layer security; defensive methods; and security analysis*.

**0418-562** Software Security (3)

*The course provides a deep insight into state-of-the-art security problems facing the design, construction, and maintenance of software systems.Main concepts include vulnerability analysis and detection through static and dynamic analysis, information flow analysis, trusted computing base, sandboxing, and return-oriented programming.*

**0418-563** Data Protection and Privacy (3)

*This is an advanced graduate course that utilizes presents the theoretical foundations for privacy protection in databases. The course will include advanced applied theoretical topics such as homomorphism, design of encrypted databases, encrypted queries, data anonymity systems considerations, and privacy in the cloud.*

**0418-564** Computational Biology (3)

*Main topics include central dogma in biology, bioinformatics databases and sequence alignment, phylogenetic trees & clustering techniques, molecular dynamics simulations and applications, hidden Markov models, affine transformations and modeling molecular aggregation.*

**0418-565** Computational Medicine (3)

*Main topics include an overview of computational medicine & medical informatics, electronic health records and health systems, designing scalable software systems for health, algorithm development for diabetes pumps, and computational molecular docking and drug design*.

**0418-566** Machine Learning (3)

*The course covers the basic concepts and techniques of Machine Learning from both theoretical and practical perspectives. The material includes decision trees, artificial neural networks, deep learning, Bayesian learning, instance-based learning and reinforcement learning*.

**0418-567** Algorithms for Optimization (3)

*Methods and algorithms for developing systems and software to solve single and multiple objective optimization problems. Methods include backtracking, direct search, and gradient-based methods.*

**0418-580** Topics In Computer Science (3)*Special topics not covered in other courses, May be repeated for credits under different subtitles.*

**0418-590** Research Seminar in Computer Science (1)*The aim of the research seminar is to allow the M.Sc. candidate to gain experience in preparing and presenting his/her research work.*

**0415-593** PROJECT (3)

*The student undertakes an independent project on a research topic of theoretical and/or experimental focus under the supervision of a faculty member listed in the supervisory list of the College of Graduate Studies. The objective is to provide the student with an opportunity to integrate and apply the knowledge gained throughout the course of study in a practical problem. The student must document the project in a scientific report following standard research writing guidelines and give a public presentation to the project examination committee.*

**0418-597 to 599** THESIS