Courses

CSCE 2004. Programming Foundations I. 4 Hours.

Introductory programming course for students majoring in computer science or computer engineering. Software development process: problem specification, program design, implementation, testing and documentation. Programming topics: data representation, conditional and iterative statements, functions, arrays, strings, file I/O and classes. Using C++ in a UNIX environment. Corequisite: Lab component. Prerequisite: MATH 2445 or MATH 2554 or MATH 2554C with a grade of C or better, a College of Engineering (ENGR) student, a Computer Science Minor (CSCE-M), or a math major (MATHBS or MATHBA). (Typically offered: Fall and Spring)

CSCE 2014. Programming Foundations II. 4 Hours.

This course continues developing problem solving techniques by focusing on fundamental data structures and associated algorithms. Topics include: abstract data types, introduction to object-oriented programming, linked lists, stacks, queues, hash tables, binary trees, graphs, recursion, and searching and sorting algorithms. Using C++ in a UNIX environment. Corequisite: Lab component. Prerequisite: CSCE 2004 with a grade of C or better. (Typically offered: Fall and Spring)

CSCE 2023. Introduction to Programming in Java. 3 Hours.

Introduction to programming in Java with emphasis on engineering applications. Programming techniques: data representation and expressions, conditional and iterative statements, arrays, lists, file I/O, methods. Object oriented programming: designing, implementing and using classes, collections and composite objects. Students will gain hands-on programming experience and exposure to classic engineering problem solving techniques. Prerequisite: MATH 2445 or MATH 2554 or MATH 2554C, each with a grade of C or higher. (Typically offered: Irregular)

CSCE 2114. Digital Design. 4 Hours.

Introduction to the hardware aspects of digital computers, logic gates, flip-flops, reduction, finite state machines, sequential logic design, digital systems, software design tools, hardware description language (VHDL), and implementation technologies. Corequisite: Lab component. Prerequisite: MATH 2554 or MATH 2554C with a grade of C or better. (Typically offered: Fall and Spring)
This course is cross-listed with ELEG 2904.

CSCE 2214. Computer Organization. 4 Hours.

Presents the relationship between computing hardware and software with a focus on the concepts for current computers. CPU design topics are covered including various techniques for microprocessor design and performance evaluation. Corequisite: Lab component. Prerequisite: CSCE 2114 with a grade of C or better. (Typically offered: Fall and Spring)

CSCE 3193. Programming Paradigms. 3 Hours.

Programming in different paradigms with emphasis on object oriented programming and network programming. Survey of programming languages, event driven programming, and concurrency. Prerequisite: CSCE 2014 with a grade of C or better. (Typically offered: Fall and Spring)

CSCE 3193H. Honors Programming Paradigms. 3 Hours.

Programming in different paradigms with emphasis on object oriented programming and network programming. Survey of programming languages, event driven programming, and concurrency. Prerequisite: CSCE 2014 with a grade of C or better. (Typically offered: Fall)
This course is equivalent to CSCE 3193.

CSCE 3513. Software Engineering. 3 Hours.

A modern approach to the current techniques used in software design and development. This course emphasizes the use of modern software development tools, multi-module programming, and team design and engineering. Prerequisite: CSCE 3193 or CSCE 3193H or DASC 2103, each with a grade of C or better. (Typically offered: Fall and Spring)

CSCE 3613. Operating Systems. 3 Hours.

An introduction to operating systems including topics in system structures, process management, storage management, files, distributed systems, and case studies. Prerequisite: CSCE 2014 and CSCE 2214, each with a grade of C or better. (Typically offered: Fall and Spring)

CSCE 3613H. Honors Operating Systems. 3 Hours.

An introduction to operating systems including topics in system structures, process management, storage management, files, distributed systems, and case studies. Prerequisite: CSCE 2014 and CSCE 2214, each with a grade of C or better. (Typically offered: Spring)
This course is equivalent to CSCE 3613.

CSCE 3953. System Synthesis and Modeling. 3 Hours.

This course instructs the students in the use of modern synthesis and modeling languages and approaches for design automation. This course will teach students the use of HDLs and modeling languages for representing and implementing digital computer systems. Prerequisite: CSCE 2214 with a grade of C or better. (Typically offered: Fall)

CSCE 4013. Special Topics. 3 Hours.

Consideration of computer science topics not covered in other courses. Prerequisite: CSCE 3193 or CSCE 3193H or DASC 2103, each with a grade of C or better. (Typically offered: Irregular) May be repeated for up to 12 hours of degree credit.

CSCE 4043. RFID Information Systems Security. 3 Hours.

Radio frequency identification (RFID) information systems provide information to users about objects with RFID tags. They require the application of information systems security (INFOSEC) to protect the information from tampering, unauthorized information disclosure, and denial of service to authorized users. This course addresses security and privacy in an RFID system. Prerequisite: INEG 2314. (Typically offered: Irregular)

CSCE 4114. Embedded Systems. 4 Hours.

The architecture, software, and hardware of embedded systems. Involves a mixture of hardware and software for the control of a system (including electrical, electro-mechanical, and electro-chemical systems). They are found in a variety of products including cars, VCRs, HDTVs, cell phones, pacemakers, spacecraft, missile systems, and robots for factory automation. Corequisite: Lab component. Prerequisite: CSCE 2214 with a grade of C or better. (Typically offered: Fall)

CSCE 4123. Programming Challenges. 3 Hours.

This course studies the principle methods used in the solution of programming contest problems, e.g., data structures strings, sorting, machine arithmetic and algebra, combinatorics, number theory, backtracking, graph traversal, graph algorithms, dynamic programming, grids, and computational geometry. Prerequisite: CSCE 3193 or CSCE 3193H, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4133. Algorithms. 3 Hours.

Provides an introduction to formal techniques for analyzing the complexity of algorithms. The course surveys important classes of algorithms used in computer science and engineering. Prerequisite: (CSCE 3193 or CSCE 3193H or DASC 2103, each with a grade of C or better) and (MATH 2603 or MATH 2803). (Typically offered: Fall)

CSCE 4143. Data Mining. 3 Hours.

The course focuses on the principles, theory, design, and implementation of data mining algorithms for large-scale data. Topics include foundations of data mining; preprocessing; mining frequent patterns, associations and correlations; supervised learning including decision tree induction, naïve Bayesian classification, support vector machine, logistic regression, Bayesian network, and K-nearest neighbor learning; unsupervised learning including K-means clustering, hierarchical clustering, density-based clustering, and grid-based clustering; outlier analysis; graph mining; scalable and distributed data mining. Prerequisite: (CSCE 3193 or CSCE 3193H or DASC 2103) or (CSCE 2014 and INEG 2333 and INEG 2314) or (CSCE 2014 and STAT 3013 and STAT 3003)). (Typically offered: Fall)
This course is cross-listed with INEG 4143.

CSCE 4213. Computer Architecture. 3 Hours.

The architecture of modern scalar and parallel computing systems. Techniques for dynamic instruction scheduling, branch prediction, instruction level parallelism, shared and distributed memory multiprocessor systems, array processors, and memory hierarchies. Prerequisite: CSCE 2214 with a grade of C or better. (Typically offered: Spring)
This course is cross-listed with ELEG 4983.

CSCE 4233. Low Power Digital Systems. 3 Hours.

The reduction of power consumption is rapidly becoming one of the key issues in digital system design. Traditionally, digital system design has mainly focused on performance and area trade-offs. This course will provide a thorough introduction to digital design for lower consumption at the circuit, logic, and architectural level. Prerequisite: CSCE 2214 with a grade of C or better. (Typically offered: Irregular)

CSCE 4253. Concurrent Computing. 3 Hours.

Programming concurrent processes; computer interconnection network topologies; loosely coupled and tightly coupled paralleled computer architectures; designing algorithms for concurrency; distributed computer architectures. Prerequisite: CSCE 3193 or CSCE 3193H or DASC 2103, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4263. Advanced Data Structures. 3 Hours.

This course continues the study of data structures, algorithmic analysis for these data structures, and their efficient implementation to support standard library in programming languages. Topics include: AVL trees, Red-Black trees, Splay trees, Optimal Binary Search trees, 2-3 tree, 2-3-4 tree, B-trees, Segment trees, Leftist Heaps, Binomial Heaps, Fibonacci Heap, Disjoint Set, Hashing, and big integer with hundreds to thousands of digits. Prerequisite: CSCE 3193 or CSCE 3193H, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4273. Big Data Analytics and Management. 3 Hours.

Introduction to tools and techniques for distributed data computing and management, big data analytics, scalable machine learning, and real-time streaming data analysis. Students cannot receive credit for both CSCE 4273 and CSCE 5273. Prerequisite: CSCE 3193 or CSCE 3193H or DASC 2103, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4323. Formal Languages and Computability. 3 Hours.

Finite Automata and regular languages, regular expressions, context-free languages and pushdown automata, nondeterminism, grammars, and Turing machines. Church's thesis, halting problem, time complexity, space complexity and undecidability. Prerequisite: (CSCE 3193 or CSCE 3193H, each with a grade of C or better) and (MATH 2603 or MATH 2803). (Typically offered: Spring)

CSCE 4333. Introduction to Integrated Circuit Design. 3 Hours.

Design and layout of large scale digital integrated circuits using CMOS technology. Topics include MOS devices and basic circuits, integrated circuit layout and fabrication, dynamic logic, circuit design and layout strategies for large scale CMOS circuits. Students may not receive credit for both CSCE 4333 and CSCE 5223. Prerequisite: ELEG 3213 or ELEG 3933 and MATH 2584 (Typically offered: Fall)

CSCE 4353. CPLD/FPGA-Based System Design. 3 Hours.

Field Programmable Logic devices (FPGAs/CPLDs) have become extremely popular as basic building blocks for digital systems. They offer a general architecture that users can customize by inducing permanent or reversible physical changes. This course will deal with the implementation of logic options using these devices. Prerequisite: CSCE 2214 with a grade of C or better. (Typically offered: Irregular)
This course is cross-listed with ELEG 4963.

CSCE 4373. Electronic Design Automation. 3 Hours.

This course studies physical design, analysis and optimization of VLSI circuits and systems with emphasis on computational realizations and optimization. We start with some related topics such as graph algorithms and discuss various well-known algorithms and methodologies in the design process of VLSI circuits, including design partitioning, logic synthesis, floorplanning, routing, static timing analysis and performance-driven layout. It requires a basic knowledge of digital circuit design, data structure, and object-oriented programming. Students cannot receive credit for both CSCE 4373 and CSCE 5373. Prerequisite: CSCE 3953 and CSCE 3193, each with a C or higher. (Typically offered: Irregular)

CSCE 4423. Computer Systems Modeling. 3 Hours.

Basic concepts of problem analysis, model design, and simulation experiments. A simulation will be introduced and used in this course. Prerequisite: CSCE 3193 or CSCE 3193H, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4433. Cryptography. 3 Hours.

This course provides a general introduction to modern cryptography. Topics include: stream ciphers, block ciphers, message authentication codes, public key encryption, key exchange, and signature schemes. Prerequisite: (CSCE 3193 or CSCE 3193H or DASC 2103, each with a grade of C or better) and (MATH 2603 or MATH 2803). (Typically offered: Irregular)

CSCE 4523. Database Management Systems. 3 Hours.

Introduction to database management systems, architecture, storage structures, indexing, relational data model, E-R diagrams, query languages, SQL, ODBC, transaction management, integrity, and security. Students may not receive credit for both CSCE 4523 and CSCE 5523. Prerequisite: CSCE 3193 or CSCE 3193H, each with a grade of C or better. (Typically offered: Spring)

CSCE 4543. Software Architecture. 3 Hours.

A study of software architecture through the use of case studies drawn from real systems designed to solve real problems from technical as well as managerial perspectives. Techniques for designing, building, and evaluating software architectures. Prerequisite: CSCE 4133 and CSCE 3513. (Typically offered: Irregular)

CSCE 4553. Information Retrieval. 3 Hours.

The objective of this course is to give students a hands-on introduction to information retrieval systems. Classical textual information retrieval systems are studied, including text preprocessing, file structures, term-weighting schemes, and web search engines. Students may not receive credit for both CSCE 4553 and CSCE 5533. Prerequisite: CSCE 3193 or CSCE 3193H, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4561. Capstone I. 1 Hour.

CSCE students complete a comprehensive software capstone project during their final year of undergraduate studies. The project is done over 2 semesters in phases: concept, formal proposal, implementation, and presentation. The projects include and may require the integration of software and human factors and hardware elements and are developed to software engineering methodologies. Prerequisite: CSCE 3513 and (CSCE 3613 or CSCE 3613H) and completion of 96 credit hours. (Typically offered: Fall)

CSCE 4613. Artificial Intelligence. 3 Hours.

Introduction to intelligent agents, AI languages, search, first order logic, knowledge representation, ontologies, problem solving, natural language processing, machine vision, machine learning, and robotics. Prerequisite: CSCE 3193 or CSCE 3193H or DASC 2103, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4623. Mobile Programming. 3 Hours.

An introduction to software development on mobile devices. The major topics covered in this course include underlying concepts and principles in mobile programming, as well as hands-on programming experience on mobile devices with an emphasis on smartphones. Prerequisite: CSCE 3193 or CSCE 3193H, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4643. Graphics Processing Units Programming. 3 Hours.

This course provides an introduction to massively parallel programming using Graphics Processing Units (GPUs). Topics include basic programming model, GPU thread hierarchy, GPU memory architecture, and performance optimization techniques and parallel patterns needed to develop real-life applications. Prerequisite: CSCE 2014 with a grade of C or better. (Typically offered: Irregular)

CSCE 4753. Computer Networks. 3 Hours.

This course is an introductory course on computer networks. Using the Internet as a vehicle, this course introduces underlying concepts and principles of modern computer networks, with emphasis on protocols, architectures, and implementation issues. Students cannot receive graduate credit for CSCE 4753. Prerequisite: CSCE 3193 or CSCE 3193H, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4783. Cloud Computing and Security. 3 Hours.

Cloud computing has entered the mainstream of information technology, providing highly elastic scalability in delivery of enterprise applications and services. In this course, we will focus on the architecture of today's cloud computing, the technologies used within them, application development using contemporary cloud computing tools, and the security risks and management in the cloud. Students cannot receive credit for both CSCE 4783 and CSCE 5783. Prerequisite: CSCE 3613 or CSCE 3613H, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4813. Computer Graphics. 3 Hours.

Introduction to the theory and algorithms used in computer graphics systems and applications. Topics include: 2D and 3D geometric models (points, lines, polygons, surfaces), affine transformations (rotation, translation, scaling), viewpoint calculation (clipping, projection), lighting models (light-material interactions, illumination and shadow calculation). Students will implement their own graphics pipeline to demonstrate many of these techniques. Higher level computer graphics applications will be created using OpenGL. Prerequisite: CSCE 3193 or CSCE 3193H, each with a grade of C or better. (Typically offered: Irregular)

CSCE 4853. Information Security. 3 Hours.

This course covers principles, mechanisms, and policies governing confidentiality, integrity, and availability of digital information. Topics to be covered include security concepts and mechanisms, security policies, multilevel security models, system vulnerability, threat and risk assessment, basic cryptography and its applications, intrusion detection systems. Prerequisite: CSCE 3193 or CSCE 3193H or DASC 2103, each with a grade of C or better. (Typically offered: Irregular)

CSCE 490V. Individual Study. 1-6 Hour.

Individual study directed by faculty in current research topics, state of the art, or advanced methodology in one of the major computer science or computer engineering areas. (Typically offered: Irregular) May be repeated for up to 6 hours of degree credit.

CSCE 4914. Advanced Digital Design. 4 Hours.

To master advanced logic design concepts, including the design and testing of synchronous and asynchronous combinational and sequential circuits using state of the art CAD tools. Corequisite: Lab component. Prerequisite: CSCE 2114 or ELEG 2904. (Typically offered: Irregular)

CSCE 491VH. Honors Thesis. 1-3 Hour.

To provide honors students with experience in presenting their research accomplishments to their peers and faculty. Prerequisite: Honors standing. (Typically offered: Fall and Spring) May be repeated for up to 3 hours of degree credit.

CSCE 4963. Capstone II. 3 Hours.

CSCE students complete a comprehensive capstone project during their final year of undergraduate studies. The project is done over two consecutive semesters in phases: concepts, formal proposal, implementation, and presentation. The projects include and may require the integration of software, human factors, and hardware elements and are developed using software engineering methodologies. Prerequisite: CSCE 4561. (Typically offered: Spring)

CSCE 5013. Advanced Special Topics in Computer Science or Computer Engineering. 3 Hours.

Consideration of current computer engineering or computer science topics not covered in other courses. Prerequisite: Graduate standing in Computer Science Computer Engineering. (Typically offered: Irregular) May be repeated for up to 18 hours of degree credit.

CSCE 5033. Advanced Algorithms. 3 Hours.

Design of computer algorithms, with primary emphasis on the development of efficient implementation. Prerequisite: Graduate standing in Computer Science Computer Engineering. (Typically offered: Irregular)

CSCE 5063. Machine Learning. 3 Hours.

An introduction to machine learning, with particular emphasis on neural network techniques. This course presents the basic principles underlying algorithms that improve with experience, and covers using them effectively for modeling data and making predictions. Prerequisite: Computer Science Computer Engineering(CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5073. Data Mining. 3 Hours.

This course surveys the most common methods used in data mining and machine learning. It involves several projects in which students will implement tools that are useful for mining knowledge from data and making predictions. The course will study both heuristic algorithms and statistical techniques. Prerequisite: CSCE 3193 and (INEG 2314 or STAT 3013) or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5114. Embedded Systems. 4 Hours.

The architecture, software, and hardware of embedded systems. Involves a mixture of hardware and software for the control of a system (including electrical, electro-mechanical, and electro-chemical systems). They are found in a variety of products including cars, VCRs, HDTVs, cell phones, pacemakers, spacecraft, missile systems, and robots for factory automation. Graduate degree credit will not be given for both CSCE 4114 and CSCE 5114. Corequisite: Lab component. Prerequisite: CSCE 2214 with a grade of C or better or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Fall)

CSCE 5133. Algorithms. 3 Hours.

Provides an introduction to formal techniques for analyzing the complexity of algorithms. The course surveys important classes of algorithms used in computer science and engineering. Graduate degree credit will not be given for both CSCE 4133 and CSCE 5133. Prerequisite: ((CSCE 3193 and (MATH 2603 or MATH 2803)) or (MATH 4423) or (Computer Science/Computer Engineering(CS/CE) graduate standing). (Typically offered: Fall)

CSCE 5173. Formal Languages and Computability. 3 Hours.

Finite Automata and regular languages, regular expressions, context-free languages and pushdown automata, nondeterminism, grammars, and Turing machines. Church's thesis, halting problem, and undecidability. Graduate degree credit will not be given for both CSCE 4323 and CSCE 5173. Prerequisite: CSCE 4133 or CSCE 5133 (formerly CSCE 4133). (Typically offered: Spring)

CSCE 5183. Advanced Data Structures. 3 Hours.

This course continues the study of data structures, algorithmic analysis for these data structures, and their efficient implementation to support standard library in programming languages. Topics include: AVL trees, Red-Black trees, Splay trees, Optimal Binary Search trees, 2-3 tree, 2-3-4 tree, B-trees, Segment trees, Leftist Heaps, Binomial Heaps, Fibonacci Heap, Disjoint Set, Hashing, and big integer with hundreds to thousands of digits. Graduate degree credit will not be given for both CSCE 4263 and CSCE 5183. Prerequisite: CSCE 3193 or Computer Science Computer Engineering(CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5193. Concurrent Computing. 3 Hours.

Programming concurrent processes; computer interconnection network topologies; loosely coupled and tightly coupled paralleled computer architectures; designing algorithms for concurrency; distributed computer architectures. Graduate degree credit will not be given for both CSCE 4253 and CSCE 5193. Prerequisite: CSCE 3193 or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5203. Advanced Database Systems. 3 Hours.

Topics include: object databases, distributed databases, XML query, data warehouses, network as database systems, peer-peer data sharing architectures, data grids, data mining, logic foundations, semantic databases, spatial and temporal databases, and knowledge bases. Prerequisite: CSCE 4523 or CSCE 5523. (Typically offered: Irregular)

CSCE 5223. Introduction to Integrated Circuit Design. 3 Hours.

Design and layout of large scale digital integrated circuits using CMOS technology. Topics include MOS devices and basic circuits, integrated circuit layout and fabrication, dynamic logic, circuit design, and layout strategies for large scale CMOS circuits. Students may not receive credit for both CSCE 4333 and CSCE 5223. Prerequisite: (ELEG 3213 or ELEG 3933) and MATH 2584 or Computer Science Computer Engineering(CSCE) graduate standing. (Typically offered: Fall)

CSCE 5233. Low Power Digital Systems. 3 Hours.

The reduction of power consumption is rapidly becoming one of the key issues in digital system design. Traditionally, digital system design has mainly focused on performance and area trade-offs. This course will provide a thorough introduction to digital design for lower consumption at the circuit, logic, and architectural level. Graduate degree credit will not be given for both CSCE 4233 and CSCE 5233. Prerequisite: CSCE 2214 with a grade of C or better or graduate standing in Computer Science Computer Engineering (CSCE) or graduate standing in Electrical Engineering (ELEG). (Typically offered: Irregular)

CSCE 5253L. Integrated Circuit Design Laboratory I. 3 Hours.

Design and layout of large scale digital integrated circuits. Students design, check and simulate digital integrated circuits which will be fabricated, and tested in I.C. Design Laboratory II. Topics include computer aided design, circuit timing, and wire delay. Prerequisite: CSCE 4333 or CSCE 5223 or ELEG 4233 or ELEG 5923. (Typically offered: Irregular)
This course is cross-listed with ELEG 5253L.

CSCE 5263. Computational Complexity. 3 Hours.

Turing machines, recursion theory and computability, complexity measures, NP-completeness, analysis on NP-complete problems, pseudo-polynomial and approximation. Prerequisite: Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5273. Big Data Analytics and Management. 3 Hours.

Topics include principles of distributed data computing and management, design and implementation of non-relational data systems, crowd sourcing and human computation, big data analytics and scalable machine learning, real-time streaming data analysis, and social aware computing. Prerequisite: CSCE 3193 and INEG 2314 or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5283. Graph and Combinatorial Algorithms. 3 Hours.

Advanced topics in graph and combinatorial optimization problems. Traditional approach section: P and NP problems, proof of NP-completeness, approximation algorithms for solving NP hard problems. Machine learning-based approach section: graph neural networks, deep reinforcement learning, state-of-the-art machine learning approaches for solving graph and combinatorial optimization problems. Prerequisite: Graduate standing in CSCE Department. (Typically offered: Irregular)

CSCE 5293. Computer Architecture. 3 Hours.

The architecture of modern scalar and parallel computing systems. Techniques for dynamic instruction scheduling, branch prediction, instruction level parallelism, shared and distributed memory multiprocessor systems, array processors, and memory hierarchies. Graduate degree credit will not be given for both CSCE 4213 and CSCE 5293. Prerequisite: CSCE 2214 with a grade of C or better or Computer Science Computer Engineering(CSCE) graduate standing. (Typically offered: Spring)

CSCE 5323. Computer Security. 3 Hours.

This course covers a broad selection of contemporary issues in computer security. Topics include security concepts and mechanisms, access control, security policies, authentication methods, basic cryptography, secure system design, and information assurance. Prerequisite: Graduate standing in CSCE department. (Typically offered: Irregular)

CSCE 5333. Computer Forensics. 3 Hours.

Various methods for identification, preservation, and extraction of electronic evidence at a computer crime scene. Specific topics include auditing and investigation of network and host intrusions, computer forensics tools, resources for system administrators and information security officers, legal issues related to computer and network forensics. Prerequisite: CSCE 5323. (Typically offered: Irregular)

CSCE 5343. Advanced Software Engineering. 3 Hours.

This course is about software metrics and models. It will focus on quantitative methods and techniques for management of software projects, design of software systems, and improvement of software quality. The material covered will be metrics and models used in the software lifecycle, such as software requirements metrics, design metrics, implementation metrics, testing metrics, effort estimation model. Prerequisite: CSCE 3513 or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5353. CPLD/FPGA-Based System Design. 3 Hours.

Field Programmable Logic devices (FPGAs/CPLDs) have become extremely popular as basic building blocks for digital systems. They offer a general architecture that users can customize by inducing permanent or reversible physical changes. This course will deal with the implementation of logic options using these devices. Graduate degree credit will not be given for both CSCE 4353 and CSCE 5353. Prerequisite: CSCE 2214 with a grade of C or better or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5373. Electronic Design Automation. 3 Hours.

This course studies physical design, analysis and optimization of VLSI circuits and systems with emphasis on computational realizations and optimization. We start with some related topics such as graph algorithms and discuss various well-known algorithms and methodologies in the design process of VLSI circuits, including design partitioning, logic synthesis, floorplanning, routing, static timing analysis and performance-driven layout. It requires a basic knowledge of digital circuit design, data structure, and object-oriented programming. Students cannot receive credit for both CSCE 4373 and CSCE 5373. Prerequisite: Graduate standing in Computer Engineering, Computer Science, or Electrical Engineering. (Typically offered: Irregular)

CSCE 5383. Malware Analysis. 3 Hours.

This course discusses fundamental concepts on malicious software, otherwise known as malware, which play a major role in intrusion into computer systems. Various malware analysis tools and techniques are explored. A major focus of this course is providing hands-on laboratory activities, which include dissecting software binary and understanding how to detect and eliminate malicious codes. Prerequisite: Graduate standing in CSCE Department. (Typically offered: Irregular)

CSCE 5423. Cryptography. 3 Hours.

This course provides an introduction to cryptography and its applications and practices. Topics covered include cryptography basics, symmetric key cryptography, public-key cryptography, cryptographic hash function, digital signature, message authentication, key management, password security, SSL/TLS, IPsec, cryptography-assisted anonymous communications, cryptocurrency, and privacy-aware computing. Graduate degree credit will not be given for both CSCE 4433 and CSCE 5423. Prerequisite: Graduate standing in CSCE Department. (Typically offered: Irregular)

CSCE 5523. Database Management Systems. 3 Hours.

Introduction to database management systems, architecture, storage structures, indexing, relational data model, E-R diagrams, query languages, SQL, ODBC, transaction management, integrity, and security. Graduate degree credit will not be given for both CSCE 4523 and CSCE 5523. Prerequisite: Graduate standing in CSCE Department. (Typically offered: Spring)

CSCE 5533. Advanced Information Retrieval. 3 Hours.

Study of the architecture, implementation, and evaluation of current information retrieval systems. Students will apply their knowledge of programming and data structures to implement a large system with an emphasis on efficiency and scalability. They will study current research in the field and implement individual or group projects on advanced topics. Prerequisite: Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5543. Statistical Natural Language Processing. 3 Hours.

Introduction to statistical natural language processing (NLP). Covers the theory and algorithms needed for building NLP tools, provides broad coverage of mathematical and linguistic foundations, and detailed discussion of statistical methods for text mining and information extraction. Current research and applications of statistical NLP will be discussed. Prerequisite: CSCE 2014 and (STAT 3013 or INEG 2314) or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5553. Software Architecture. 3 Hours.

A study of software architecture through the use of case studies drawn from real systems designed to solve real problems from technical as well as managerial perspectives. Techniques for designing, building, and evaluating software architectures. Graduate degree credit will not be given for both CSCE 4543 and CSCE 5553. Prerequisite: CSCE 4133 or CSCE 5133 and CSCE 3513. (Typically offered: Irregular)

CSCE 5563. Introduction to Deep Learning. 3 Hours.

The course aims at understanding the fundamental of deep learning and its application in computer vision, natural language understanding and game theory. The course starts with basic multi layer perceptron and then moves towards other complicated models such as convolutional neural networks, recurrent neural networks, attention, and generative adversarial network models. The course will end with deep reinforcement learning. The course provides required steps for building deep learning models. Prerequisite: Computer Science Computer Engineering (CSCE) Graduate Standing. (Typically offered: Irregular)

CSCE 5613. Artificial Intelligence. 3 Hours.

Introduction to intelligent agents, AI languages, search, first order logic, knowledge representation, ontologies, problem solving, natural language processing, machine vision, machine learning, and robotics. Prerequisite: Graduate standing in CSCE Department. (Typically offered: Irregular)

CSCE 5623. Secure Digital System Design. 3 Hours.

This course is to give graduate students an insight of contemporary security-related issues in modern digital systems. In addition to lectures, students will be practicing secure digital system design during a project. Prerequisite: Computer Science Computer Engineering (CSCE) graduate standing or Electrical Engineering (ELEG) graduate standing. (Typically offered: Irregular)

CSCE 5653. Network Security. 3 Hours.

This course focuses on understanding and applying foundational principles in security to real computer networks. Students will study and implement several real attacks and take advantage of several recreated vulnerable systems in order to understand the modern landscape of network security. Students will also be looking at various case studies of attacks and defense strategies, including known exploit proofs-of-concept, published papers, and documents from security agencies and cyber-security research firms. Prerequisite: Graduate standing in CSCE department. (Typically offered: Irregular)

CSCE 5673. Mobile Programming. 3 Hours.

An introduction to software development on mobile devices. The major topics covered in this course include underlying concepts and principles in mobile programming, as well as hands-on programming experience on mobile devices with an emphasis on smartphones. Graduate degree credit will not be given for both CSCE 4623 and CSCE 5673. Prerequisite: CSCE 3193 or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5683. Image Processing. 3 Hours.

The objective of this class is to give students a hands-on introduction to the fundamentals of image processing. A variety of image processing techniques and applications will be discussed including image enhancement, noise removal, spatial domain and frequency domain filtering, image restoration, color image processing, image compression, edge detection and image segmentation. Prerequisite: CSCE 3193 or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5693. Graphics Processing Units Programming. 3 Hours.

This course provides an introduction to massively parallel programming using Graphics Processing Units (GPUs). Topics include basic programming model, GPU thread hierarchy, GPU memory architecture, and performance optimization techniques and parallel patterns needed to develop real-life applications. Graduate degree credit will not be given for both CSCE 4643 and CSCE 5693. Prerequisite: CSCE 2014 with a grade of C or better or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5703. Computer Vision. 3 Hours.

The objective of this course is to give students a hands-on introduction to the fundamentals of computer vision. Topics include image formation, object modeling, image processing, feature and edge detection, image segmentation, motion estimation, depth from stereo, shape description and object recognition. Prerequisite: CSCE 3193 and CSCE 4613 or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5753. Wireless Systems Security. 3 Hours.

Wireless systems such as wireless local area networks, cellular and mobile networks, and sensor networks are vulnerable to attacks. The goal of the class is for students to understand how to design secure wireless systems. Security topics include confidentiality, integrity, availability, privacy, and control of fraudulent usage of networks. Issues addressed include basic wireless theory, cryptography, threat modeling, risks, and mitigation techniques. Prerequisite: Graduate standing in Computer Science Computer Engineering(CSCE). (Typically offered: Irregular)

CSCE 5763. Privacy Enhancing Technologies. 3 Hours.

This course introduces privacy enhancing technologies and hot privacy topics in modern computing systems. Students will be exposed to many interesting privacy problems, study privacy enhancing technologies, and apply their knowledge to explore an open research problem in a research-oriented project. After completing this course, students will gain broad knowledge of the state-of-the-art privacy enhancing technologies and open research problems. They will also develop skills and enhance potentials to do research on privacy and security. Prerequisite: Must be a graduate student in Computer Science Computer Engineering (CSCE). (Typically offered: Irregular)

CSCE 5773. Computer Networks. 3 Hours.

This course is an introductory course on computer networks. Using the Internet as a vehicle, this course introduces underlying concepts and principles of modern computer networks, with emphasis on protocols, architectures, and implementation issues. Graduate degree credit will not be given for both CSCE 4753 and CSCE 5773. Prerequisite: Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5783. Cloud Computing and Security. 3 Hours.

Cloud computing has entered the mainstream of information technology, providing highly elastic scalability in delivery of enterprise applications and services. In this course, we will focus on the architecture of today's cloud computing, the technologies used within them, application development using contemporary cloud computing tools, and the security risks and management in the cloud. Graduate degree credit will not be given for both CSCE 4783 and CSCE 5783. Prerequisite: CSCE 3613 or graduate standing in Computer Science Computer Engineering(CSCE). (Typically offered: Irregular)

CSCE 5813. Computer Graphics. 3 Hours.

Introduction to the theory and algorithms used in computer graphics systems and applications. Topics include: 2D and 3D geometric models (points, lines, polygons, surfaces), affine transformations (rotation, translation, scaling), viewpoint calculation (clipping, projection), lighting models (light-material interactions, illumination and shadow calculation). Students will implement their own graphics pipeline to demonstrate many of these techniques. Higher level computer graphics applications will be created using OpenGL. Graduate degree credit will not be given for both CSCE 4813 and CSCE 5813. Prerequisite: CSCE 2014 with a grade of C or better or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 5823. Multiprocessor Systems on Chip. 3 Hours.

This course covers the latest trends in advanced computer architecture for multiprocessor systems on chip for embedded and real time systems. Topics covered include multicore architectures, modeling abstractions, run time systems, and MIMD/SIMD heterogeneous architectures, Hw/Sw co-design techniques. Prerequisite: CSCE 3613 and CSCE 4213. (Typically offered: Irregular)

CSCE 5833. Computer Architecture Security. 3 Hours.

This course will cover fundamental principles and emerging implementation strategies to reason about, design and construct architecture level security capabilities in the manycore era. Coverage includes formal security models, new and emerging considerations for heterogeneous multiprocessor system on chip architectures, hardware and software implementation methods, operating systems for run time security enforcement. Prerequisite: CSCE 4213 or graduate standing in Computer Science Computer Engineering (CSCE). (Typically offered: Irregular)

CSCE 5843. Reconfigurable Computing. 3 Hours.

This course will cover emerging and proposed techniques and issues in Reconfigurable Computing. Topics will include FPGA technologies, CAD/CAE tools, Hw/Sw co-design, system level synthesis, programming models and abstractions. Prerequisite: Graduate standing in CSCE Department. (Typically offered: Irregular)

CSCE 5853. Information Security. 3 Hours.

This course covers principles, mechanisms, and policies governing confidentiality, integrity, and availability of digital information. Topics to be covered include security concepts and mechanisms, security policies, multilevel security models, system vulnerability, threat and risk assessment, basic cryptography and its applications, intrusion detection systems. Graduate degree credit will not be given for both CSCE 4853 and CSCE 5853. Prerequisite: CSCE 3193 or Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 590V. Advanced Individual Study. 1-3 Hour.

Advanced graduate level individual study directed by faculty in current research topics, state of the art, or advanced methodology in one of the major computer science or computer engineering areas. (Typically offered: Irregular)

CSCE 5914. Advanced Digital Design. 4 Hours.

To master advanced logic design concepts, including the design and testing of synchronous and asynchronous combinational and sequential circuits using state of the art CAD tools. Graduate degree credit will not be given for both CSCE 5914 and CSCE 4914 or ELEG 4914 and ELEG 5914. Corequisite: Lab component. Prerequisite: Graduate students majoring in Computer Engineering, Computer Science, or Electrical Engineering. (Typically offered: Irregular)

CSCE 5943. Computer Arithmetic Circuits. 3 Hours.

Examination of fundamental principles of algorithms for performing arithmetic operations in computers. This course provides sufficient theoretical and practical information to prepare the digital design engineer with an awareness of basic techniques for the realization of arithmetic circuits. Prerequisite: Computer Science Computer Engineering (CSCE) graduate standing. (Typically offered: Irregular)

CSCE 610V. Master's Thesis. 1-6 Hour.

Master's thesis. (Typically offered: Fall and Spring) May be repeated for degree credit.

CSCE 620V. Post-Master's Research. 1-18 Hour.

Post-master's research. (Typically offered: Fall and Spring)

CSCE 690V. Doctoral Individual Study. 1-3 Hour.

Advanced doctoral level individual study directed by faculty in current research topics, state of the art, or advanced methodology in one of the major computer science or computer engineering areas. (Typically offered: Irregular) May be repeated for up to 6 hours of degree credit.

CSCE 700V. Doctoral Dissertation. 1-18 Hour.

Doctoral Dissertation. (Typically offered: Fall, Spring and Summer) May be repeated for degree credit.