Study of advanced topics in distributed systems: concurrency control and failure recovery, management of replicated data, distributed consensus and fault tolerance, remote procedure calls, naming and security. This course covers advanced design of parallel algorithms, performance modeling, parallel hardware, language support for parallel programming, and programming models for shared- and distributed-memory systems ranging from handheld multicore devices to large-scale clusters and accelerators. A major portion of the course involves implementing a compiler from scratch for a C-like programming language. This course covers the fundamental concepts in the design of computer networks and networking protocols with emphasis on the Internet (TCP/IP) architecture. Topics include elementary image operations and transformations, template matching, object recognition, classification and tracking, camera models and stereo vision, and image retrieval from image databases. This course provides advanced training supervised by computer scientists in internship programs approved by the department. This course covers classic algorithms in computer science and their applications, with emphasis on algorithm design, algorithm analysis, and problem formulation. The information in this version of the Undergraduate Catalog is subject to change without notice. All aspects of the software engineering course sequence are integrated and put into practice. This course covers state-of-the-art green computing research, including energy-efficient hardware and software design, power-aware resource management and storage solutions, green data centers and mobile computing. Application examples include multimedia information retrieval, text recognition, computer BIO 1331. Foundations of Data Structures and Algorithm Design. This course focuses on the principles of programming languages. Topics include testing, performance evaluation, and software metrics. The information in this version of the Undergraduate Catalog is subject to change without notice. A survey of computer languages. Introduction to algorithm design and analysis, computational complexity, and NP-completeness theory. While conducting dissertation research and writing, the student must be continuously enrolled each long semester. Topics covered include research processes, research methods, ethics, conducting literature review, critiquing papers, preparing research proposals, faculty research presentations, and the software tools and platforms available for conducting applied computing research. Principles and methods in human factors and ergonomics applied to the design and use of computer systems. Compression techniques for the three data types, standards, and storage media. Accreditation and Reaffirmation at Texas State. May not be taken for credit if student received credit for CS 4315. Topics include ALUs, single and multiple cycle datapath and control, RISC vs. CISC, pipelining, caches, I/O, virtual memory, and related performance issues. Texas State University has chosen to assess the supplementary fee to those students attempting a course more than twice. Requires approval of department advisor and/or department Chair. This course provides foundations in computer science for students entering the doctoral program who may need certain background or leveling coursework. Classes are small, providing ample opportunity for association with faculty and visiting writers. This will include server-side and client-side software development. Topics include best practices in building energy-efficient data centers and mobile devices, current trends in reducing the energy consumption of processors and storage components, energy-aware resource management, software optimizations, and hands-on experience on power-measurable systems. The latter half of the software life cycle is discussed. The information, hardware, programming, operating system, applications, and communications layers are presented plus appropriate open computer laboratory exercises. Intensive review of programming through data structures. Texas State reserves the right to withdraw courses at any time, to change its fees or tuition, calendar, … May be repeated once but not for credit and requires approval of the department Chair. The "Where's My Course?" Introduction to the integration of all services available on the Web. It emphasizes component-based integration frameworks based on J2EE specification (EJB, Servlets, JMS), inter-organization workflow integration frameworks, and XML framework. May be repeated once. © 2020 Ellucian Company L.P. and its affiliates. At Texas State, distance education courses are offered via TRACS or Canvas (depending on where the courses are located during the migration from TRACS to Canvas), an Internet-based learning management system for delivering course materials, facilitating class discussions, implementing assignments and quizzes, and supporting learning outcomes. Does not count for computer science credits toward a minor, or a BS or a BA in computer science. Texas State is transitioning from the TRACS learning system to TXST Canvas. Applicants must have completed A&P I plus two or more of the five science courses … Texas State Office of Distance and Extended Learning Correspondence Self-Paced Studies ... New Course Offerings. Course cannot be counted toward any graduate degree, is open only to majors in the Department of Computer Science. This course covers fundamentals and advanced topics of image processing and principles of computer vision. This course presents recent advances in methodologies, models, systems and applications of cyberspace security research. The Texas State University Round Rock Campus is conveniently located off Interstate Highway 35 on the University … The course is a continuation of CS 1428. A study of neural computing, including basic concepts, algorithms, and applications; back propagation and counter propagation networks; Hopfield networks; associative memories; massively parallel neural architectures; adaptive resonance theory; optical neural networks; connectionist approaches. Repeatable for credit. Graded on a credit (CR), progress (PR), no-credit (F) basis. Topics include test design, test process, unit, integration and system testing, manual and automatic techniques for generation of test inputs and validation of test outputs, and coverage criteria. Simply click on the appropriate prefix for the course or department of interest (Click CHEM for Chemistry courses). This course covers fundamental concepts underlying the design and implementation of computing systems. Supervised individual research project in a mentor-student relationship with a computer science faculty member. Supervised individual research projects in a mentor-student relationship with a computer science faculty member. This foundation course for CS master's degree students who need CS 3339 concept reinforcement covers fundamental hardware components. It may be repeated once and is non-graduate degree credit. of the use of machine learning methods. This topics course provides an in-depth study of state-of-the-art software evolution techniques and tools based on the current research literature. This course cannot be counted toward any degree. An introduction to the basic concepts of artificial intelligence; search techniques, knowledge representation, problem solving. The student continues to enroll in a Thesis B course until the thesis is submitted for binding. Research in Object-Oriented System Development. Fees for these courses are $695 and include all textbooks and other training materials. Topics include graphics game engines, game physics, AI methods applied to games, and software architectures for computer games. In any regular semester or summer term during which a student is enrolled at Texas State; the course load limitations apply to work attempted, whether at Texas State or elsewhere. Office of the University Registrar. Topics include performance evaluation, resource management and scheduling, concurrency and synchronization, and communication and networks. Dept. Graded on a credit (CR), no-credit (F) basis. Course is not repeatable for credit. An attempted course is defined as any course in which a grade is earned on the transcript, including repeated courses and courses dropped with a grade of “W”. Topics include lexical scanning, parsing techniques, static type checking, code generation, dataflow analysis, storage management, and execution environments. Searching and sorting, pointers and dynamic memory allocation, and simple classes and objects also will be covered. This course covers various aspects of producing secure computer information systems that provide guaranteed controlled sharing. Research on compilation techniques. May be repeated once. Open to graduate students on an independent basis by arrangement with the faculty member concerned. The course focuses on the development of protocols and the analysis of related algorithms. Fundamentals of Algorithm Design and Analysis. of World Languages and Literatures Centennial Hall 214 601 University Dr. San Marcos, TX 78666 Dr. Lucy Harney, Chair Phone: 512.245.2360 Fax: 512.245.8298 firstname.lastname@example.org Site Map About Texas State Software evolution and maintenance is one of the most important and complex activities in software engineering. Online and Hybrid Courses in the Schedule of Classes. Topics include software process programming, symbolic execution, model checking, property generation and checking, and runtime verification of complex software systems. Students undertake a software development project. In addition, the course introduces perceptual aspects of multimedia signals and sources. The course can be repeated once for additional credit with a different emphasis. Problem solving, algorithm development, structured programming, good coding style, and control structures of C++ are emphasized. This credit/no credit course is designed to develop research and communication skills for Ph.D. students. 111 J.C. Kellam 601 University Drive San Marcos, Texas 78666 T: 512.245.2367 F: 512.245.8126 Registrar@txstate.edu Site Map. The course includes a survey of usability measures, the major GUI standards, and GUI tools. Topics include learning theory, learning methods, recent learning vision, etc. This course will cover state of the art Human Computer Interaction topics such as perceptual compression, eye-gaze, and brain computer interfaces with emphasis on the human visual system, eye-tracking, and electroencephalography. Please submit a Special Approval Request form before you register. Texas State, with its nearly 39,000 students, still has kept a friendly small campus atmosphere. Introduction to the design and analysis of parallel algorithms, parallel architectures and computers. Texas State Undergraduate Admissions Explore Academics Majors & Degrees Business and Administration ... Enactus is an international nonprofit organization that works with leaders in business and higher education to mobilize university … It focuses on framing research questions, understanding how data can answer them, and using modern software tools such as Spark and Hadoop for scalable data storage, processing, and analysis. (2-2) This course provides an overview and introduction to healthcare data management. The student continues to enroll in this course until the thesis is submitted for binding. Group A | World History. The students will gain applied knowledge and skills by developing parallel software for multiple platforms. Courses … Fundamentals of Unix operating systems, Unix file system and environment, C memory allocation, development tools, processes and signals, threads, device drivers, and programming for security. We will discuss how recommender systems are deployed in e-commerce sites, social networks, and many other online systems. Topics in the course … Information retrieval topics include Boolean retrieval, vector space model, and Web search. The course covers object-oriented design principles and programming for students with prior programming experience. 601 University Dr. | Old Main 102 San Marcos, TX 78666 512.245.2656 email@example.com Texas State reserves the right to withdraw courses at any time, to change its fees or tuition, calendar, curriculum, degree requirements, graduation procedures, and any other requirements affecting students. This course is designed to develop and enhance the professional and technical skills of graduate teaching and instructional assistants. Topics include graphics game engines, game physics, AI methods applied to games, and software architectures for computer games. Important Note: These non-credit courses are for professional development only.For academic credit opportunities at Texas State, please visit our … Topics covered include lexical and syntactic analysis, syntax-directed translation, type checking, intermediate representation, code generation, and runtime systems. models, etc. This course does not earn graduate credit and is graded on a credit (CR), progress (PR), no-credit (F) basis. Discusses applications like face recognition, text recognition, biometrics, bioinformatics, and multimedia retrieval. 601 University Dr. | Old Main 102 San Marcos, TX 78666 512.245.2656 firstname.lastname@example.org Texas State University … This course provides in-depth coverage of advanced data mining and information retrieval principles and techniques. Topics include ALUs, single and multiple cycle datapath and control, RISC vs. CISC, pipelining, caches, I/O, virtual memory, and related performance issues. This course introduces concepts, principles, and methodology enabling development of a software as a service according to Service-Oriented Architecture; methodology of SOA-based systems development; main technologies used in achieving SOA; and challenges and opportunities that SOA provide. Programmers rarely build software from scratch but often modify existing software to fix defects or add new features. Advanced Software Engineering Processes and Methods. Different workloads are studied. A study of the software life cycle with emphasis on system analysis and design. Learn more about our on-campus, online, or hybrid/blended extension courses by visiting the On-Campus and Online Course offerings on this website. This course covers computational and statistical methods for using large-scale data sets (‘big data’) to answer scientific and business questions. This course represents a student’s continuing thesis enrollment. This course studies the architecture of embedded systems, micro-controllers, their peripherals, languages, and operating systems and the special techniques required to use them. This course teaches practical aspects of computer game design and implementation. Covers both abstract and practical treatments of using graphics to implement interactive computer/human interfaces. This course serves as a foundation course for computer science master's degree students who need reinforcement of fundamental concepts covered by CS 3358. The course covers the object-oriented methodologies for system analysis, design, implementation, testing, and other aspects of systems development. A component on professional ethics is included. Texas State recognized as a top university for Hispanics Dr. Rodney Rohde details the importance of monoclonal antibodies in our battle against COVID-19 Head of musical theatre, Kaitlin Hopkins, … This course covers fundamental topics of computer vision. Accounting (ACC) Adult Education (ADED) Aerospace Studies (A S) African American Studies (AAS) Agriculture (AG) American Sign Language (ASL) Anthropology (ANTH) Arabic (ARAB) Art (ART) … This course teaches practical aspects of parallel programming. Emphasis is on software models and design, including discovery and prevention of computing systems security vulnerabilities. This course covers fundamental concepts and techniques in data mining and information retrieval. This course represents the initial thesis enrollment for the student. Texas State will consider admitted freshmen for all 2021 terms for Assured and Competitive Scholarships without an SAT or ACT score. In SOA, software applications are constructed based on independent component services with standard interfaces. Topics include, but are not limited to, test design, static and dynamic testing tools, and formal testing documentation. In addition to the diverse courses offered in our undergraduate English Major and Minor, we also offer undergraduate degrees with emphases in Creative Writing, Film, Writing and … Application of HCI as interdisciplinary research tool also will be discussed. Software engineering is the application of scientific methods to software development and maintenance. Overview of the internal structure of modern compilers. This course introduces advanced methods for enhancing user experience and presents effective HCI models via computer graphics, imaging, animation, simulation, visualization, augmented reality, and immersive virtual reality. A study of the algorithms and data structures used in representing and processing visual data. The Office of Distance and Extended Learning offers extension courses face-to-face, online, hybrid/blended, or as part of faculty-led Study-in-America or Off-Campus program. Current systems and methods are examined and critiqued. This course is designed to equip the doctoral students with skills and an understanding of the proper procedures to be effective doctoral instructional and teaching assistants. Graded on a credit (CR), no-credit (F) basis. History 3324 | Latin America from Independence to Present. Cannot be given degree credit until the satisfactory completion of CS 4299. The Office of Distance and Extended Learning offers extension courses face-to-face, online, hybrid/blended, or as part of faculty-led Study-in-America or Off-Campus program. This course investigates theoretical and practical issues in the design and construction of modern compilers. Study of advanced concepts and programming skills in computer networks: advanced TCP/IP API, multicasting and broadcasting, reliable communications, advanced I/O functions and options. Provides on-the-job training supervised by computer scientists in industry internship programs approved by the department. Introduction to Graphical User Interfaces. Provides systematic introduction to machine learning, covering basic theoretical as well as practical aspects A study of the uses of computers and their effects on society. New facilities include state-of-the-art training labs in healthcare Office of the University Registrar. It covers the principles of operating systems, algorithms for CPU scheduling, memory management, cooperating sequential processes and device management. Introduction to database concepts, data models, file structures, query languages, database management systems. The essentials of software engineering processes methods, and tools for the evolutionary design of complex interactive software are discussed. Topics include high-performance computer architectures, including accelerators and systems-on-chip, performance modeling and benchmarking, data and control dependence analysis, data locality estimation, memory hierarchy management, techniques for exposing parallelism, and code transformations. Note: To take online and hybrid courses offered by academic units, a student must be admitted to Texas State University. This course is an introduction to computer science and problem solving techniques with applications in engineering and the physical sciences. Please be sure to check that you have completed all pre-requisites Topics include digital representation and data compression of text, speech, audio, natural and synthetic images, and video, as well as multimedia applications, transmission, and standards. Career Professional and Certification Training. Knowledge representation; knowledge engineering; reasoning; parallel and distributed AI; connectionist models; machine learning and intelligent databases; implementation of systems in high-level AI languages. Next, choose the specific course from the list (Click CHEM1310) to find the course description, a list of instructors teaching the course, instructor vitae, and course … Introductory course for computer science majors, minors and others desiring technical introduction to computer science. Human Computer Interaction: Concepts, Models, and Methodologies. This course introduces concepts and principles for enabling the development of software as a service based on Service-Oriented Architecture (SOA), methodology of SOA systems development, the main technologies used in achieving SOA, and state of the art techniques and advances in emerging cloud and edge (Internet of Things) services. An introduction to automata theory, computability, and formal languages. Methodologies based on data flows and on objects will be surveyed. In any regular semester or summer term during which a student is enrolled at Texas State; the course load limitations apply to work attempted, whether at Texas State or elsewhere. Texas State’s Annual Security Reports and Fire Safety Report We value the safety of all members of the Texas State University community at both our main campus in San Marcos, TX and separate campus in Round Rock, TX. Course teaches practical aspects of computer game design and implementation. Topics include in-depth coverage of the state-of-the-art security technologies and research issues on information security, software security, network security, secure system design, secure programming, applied cryptography, vulnerability, and threats. Provides fundamental knowledge of the six layers of computer science as per the ACM CS0 curriculum. The course covers concepts, problems and techniques in digital multimedia. Professional Development of Doctoral Assistants. Data-Driven Computational Methods and Infrastructure. Students produce a software project of significant size in a team environment. A study of the hardware and software used in graphic representation and interpretation of data. This course covers abstract and practical foundations of graphical user interface design, evaluation, and implementation. Appropriate software tools are studied and used. Does not count for credit toward any graduate degree. 111 J.C. Kellam 601 University Drive San Marcos, Texas … Students will gain knowledge and skills needed for game development via team projects. The texas state university courses of teaching and instructional assistants is a paramount but daunting problem in,! Provides students advanced theoretical and practical issues in the department chair distributed, BA! 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