A study of the algorithms and data structures used in representing and processing visual data. Structured analysis, programming style, and project documentation are emphasized in large software projects. 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 Release: 188.8.131.52. Provides relevant research training and practice opportunities. Students must have knowledge of object-oriented design, object-oriented programming language, databases, and networking. The course covers concepts, problems and techniques in digital multimedia. Transfer students completing their prerequisite courses at a school besides Texas State University in San Marcos, see the following link. Course is not repeatable for credit. Topics include, but are not limited to, test design, static and dynamic testing tools, and formal testing documentation. A study of network and communication systems. This course covers fundamental topics of computer vision. 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 Rhetoric, and Teacher … Cannot take for credit if already took CS 4379Q. Ideal for students completing a degree or professionals wanting to boost their careers, the Round Rock Campus offers undergraduate and graduate programs in nursing and healthcare, computer science, education and more. 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. The course is a continuation of CS 1428. Considers new input modalities as new channels for data gathering including multimedia compression, interface design, usability evaluation, biometrics. It also offers extensive training and practice opportunities in frontier research directions. Research on compilation techniques. 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. Introduces HCI topics specifically highlighted by new input modalities such as eye-tracking. TRANSFER PREREQUISITE COURSES. Advanced Studies in Human Factors of Computer Science. For more information, please visit our Honors in Study Abroad page. Additionally, we will review current research in the field. Courses. Software evolution has become increasingly important in software development. The essentials of software engineering processes methods, and tools for the evolutionary design of complex interactive software are discussed. This course covers fundamental concepts underlying the design and implementation of computing systems. Graded on a credit (CR), progress (PR), no–credit (F) basis. Introduction to algorithm design and analysis, computational complexity, and NP-completeness theory. This course covers fundamental concepts and techniques in data mining and information retrieval. Overviews of other topics like quality concepts, the SEI CMM, information technology, and network technology are covered. Course topics include the design of the instruction set, high speed arithmetic, memory hierarchy, and control units. While conducting dissertation research and writing, the student must be continuously enrolled each long semester. The information, hardware, programming, operating system, applications, and communications layers are presented plus appropriate open computer laboratory exercises. The students will gain the knowledge and skills needed for developing parallel software by writing programs for a variety of parallel computers. This course is primarily for computer science majors, focusing on the ethical codes of the professional societies, the philosophical bases of ethical decision-making, and the examination of several contemporary case studies. The concepts used in a formal testing of safety critical and high-quality software applications are investigated. This course covers abstract and practical foundations of graphical user interface design, evaluation, and implementation. Provides on-the-job training supervised by computer scientists in industry internship programs approved by the department. Graded on a credit (CR), progress (PR), no-credit (F) basis. This will include server-side and client-side software development. Topics include new network architectures, cloud computing, software defined networking, wireless systems, social networks, and security and privacy. Learn more about our on-campus, online, or hybrid/blended extension courses by visiting the On-Campus and Online Course … Topics include disjoint sets and union-find algorithms, tree and graph algorithms, sorting algorithms, greedy algorithms, dynamic programming, and string processing algorithms. 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. Students select courses from a wide range of topics, periods, and genres in British and American literature, as … Graded on a credit (CR), no-credit (F) basis. Cannot be given degree credit until the satisfactory completion of CS 4299. This course covers the advanced design, analysis, and optimization of high-performance applications. Graded on a credit (CR), no-credit (F) basis. Course teaches practical aspects of computer game design and implementation. This course provides science majors with a foundation in organismal biology, Mendelian and population genetics, evolution and ecology. Searching and sorting, pointers and dynamic memory allocation, and simple classes and objects also will be covered. Application examples include multimedia information retrieval, text recognition, computer
Text processing, spreadsheets, databases, and Web programming. This course covers various concepts of recommender systems, including personalization algorithms, evaluation tools, and user experiences. Requires approval of department advisor and/or department Chair. This course studies the architecture of embedded systems, micro-controllers, their peripherals, languages, and operating systems and the special techniques required to use them. Simply click on the appropriate prefix for the course or department of interest (Click CHEM for Chemistry courses). Cannot be taken for credit if received CS 4379Y credit. Emphasis is placed on proving correctness of designs and implementations. This foundation course for CS master's degree students who need CS 3339 concept reinforcement covers fundamental hardware components. ... Study Abroad Honors courses are offered through certain programs in Study Abroad at Texas State University. Discussion of how recommender systems are deployed in business applications, design of new recommender experiences, and how to conduct and evaluate research in recommender systems. 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. Applicants must have completed A&P I plus two or more of the five science courses … BIO 1331. 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. This course investigates theoretical and practical issues in the design and construction of modern compilers. This course represents a student’s continuing thesis enrollment. Topics include image formation, acquisition, filtering, segmentation, compression and shape representation, as well as computer analysis and understanding of still/motion images, methods for facial and gesture recognition and image retrieval from image databases. Software engineering is the application of scientific methods to software development and maintenance. This course combines knowledge in the fields of intelligent user interfaces, human factors, ergonomics, and environmental psychology. Human Computer Interaction: Concepts, Models, and Methodologies. A component on professional ethics is included. This course covers the basic concepts of recommender systems, including personalization algorithms, evaluation tools, and user experiences. Does not count for computer science credits toward a minor, or a BS or a BA in computer science. 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 … Provides broad introduction to machine learning, including learning theory, and recent topics like support vector machines and feature selection. 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. Verification and/or implementation of protocols will be required. Study of the fundamental aspects of wireless communications and wireless/mobile networks, introduction of wireless/mobile networking APIs. History 3325F | Militarism in Latin America. Topics covered include programming paradigms, concepts of programming languages, formal syntax and semantics, and language implementation issues. Repeatable for credit. To view the online and hybrid courses offered by the Texas State academic units in a specific academic semester, visit the Catsweb Schedule of Classes, search by Term and Subject, and then search by Instructional Method.. Texas State will consider admitted freshmen for all 2021 terms for Assured and Competitive Scholarships without an SAT or ACT score. Students will design and implement programs in Java. Problem solving, algorithm development, structured programming, good coding style, and control structures of C++ are emphasized. The information in this version of the Undergraduate Catalog is subject to change without notice. Topics include learning theory, learning methods, recent learning
The student continues to enroll in this course until the thesis is submitted for binding. Online and Hybrid Courses in the Schedule of Classes. Dept. 111 J.C. Kellam 601 University Drive San Marcos, Texas 78666 T: 512.245.2367 F: 512.245.8126 Registrar@txstate.edu Site Map. Classes are small, providing ample opportunity for association with faculty and visiting writers. Texas State reserves the right to withdraw courses at any time, to change its fees or tuition, calendar, … Professional Development of Graduate Assistants. The topics include inheritance and polymorphism, object-oriented design process, UML diagrams, design patterns, exception handling and multithreading. Throughout 2020 it is possible students will need to use both systems, depending on which system their faculty member is using. Includes a survey of the major GUI standards and tools. Introduction to Human Computer Interaction (HCI). Advanced Machine Learning and Pattern Recognition. 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. Dept. It introduces students to problems that reoccur in computing systems and the tools and algorithms used to solve them. This course provides in-depth coverage of advanced data mining and information retrieval principles and techniques. The students will gain applied knowledge and skills by developing parallel software for multiple platforms. Topics include testing, performance evaluation, and software metrics. Current systems and methods are examined and critiqued. Student completes a literature survey of the latest software engineering analysis and design processes, methods, and tools. 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. The student continues to enroll in this course until the thesis is submitted for binding. History 4380 | Historical Resources and Practices History 4399 | Senior Seminar, History 1310 | History of the United States to 1877, History 1320 | History of the Unites States, 1877 to Date, History 2310 | Western Civilization to 1715, History 2311 | History of World Civilization to the 17, History 2312 | History of World Civilization from the 17, History 2320 | Western Civilization, 1715 to Date, Graduate Course Wait List / Special Approval Form. Emphasis will be on using OO methodologies to manage the complexity of complicated software. Please submit a Special Approval Request form before you register. An introduction to the basic concepts of artificial intelligence; search techniques, knowledge representation, problem solving. Advanced topics in automata theory, grammars, Turing machines, decidability, and algorithmic complexity. Intensive review of programming through data structures. Courses … Methodologies based on data flows and on objects will be surveyed. Topics include graphics game engines, game physics, AI methods applied to games, and software architectures for computer games. This is a course covering classic data structures and the analysis of algorithms. Principles and methods in human factors and ergonomics applied to the design and use of computer systems. A study of digital representation and processing of the major multimedia data types: image, audio, and video. Includes syntax, semantics, problem solving, algorithm development, and in-class exercises. Texas State University offers over 200 courses in 99 Bachelor's, 14 Doctoral's, and 93 Master's levels of study that servers almost over 38,500 students every year under its colleges and about fifty schools and departments with the help of 3,400 staff and faculty members. 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. The students will gain analytical and problem-solving skills by studying machine learning and pattern recognition techniques and applying them to solve real problems. This course covers fundamentals and advanced topics of image processing and principles of computer vision. This course represents the continuing thesis enrollments for a student. It covers the principles of operating systems, algorithms for CPU scheduling, memory management, cooperating sequential processes and device management. A course covering assembly language programming, including instruction sets, addressing modes, instruction formats, looping, logic, data representation, subroutines and recursion; and the interface between hardware and software. All aspects of the software engineering course sequence are integrated and put into practice. Topics include HCI principles, human information processing, anthropometry, principles of eye tracking and their effects on human factors research, as well as operations of biometrics systems and human factors influencing those systems. Advanced Software Engineering Processes and Methods. ... 302 ASB-North 601 University Drive San Marcos, TX 78666-4616 Telephone: 512.245.2322 Toll Free: 800.511.8656 Fax: 512.245.8934 Site Map. Texas State University is organized under a single administration, faculty, and budget and are therefore, accredited as a single institution which includes distance learning. © 2020 Ellucian Company L.P. and its affiliates. This credit/no credit course is designed to develop research and communication skills for Ph.D. students. Professional level presentation of techniques and research findings related to human-computer interaction. Topics include graphics game engines, game physics, AI methods applied to games, and software architectures for computer games. This course covers fundamental concepts and techniques in green computing, including a hardware energy efficiency roadmap; energy efficient software design, resource management, and storage solutions; and green data centers and mobile computing. Group A | World History. Look at our transfer … This course serves as a foundation course for computer science master's degree students who need reinforcement of fundamental concepts covered by CS 3358. This course does not earn graduate degree credit. Main techniques include greedy search, linear regression, clustering, network analysis, expectation maximization, and Hidden Markov models, which are widely applicable beyond biological data. Texas State is transitioning from the TRACS learning system to TXST Canvas. A study of the hardware and software used in graphic representation and interpretation of data. Different workloads are studied. Emphasis is on software models and design, including discovery and prevention of computing systems security vulnerabilities. Top. The course can be repeated once for additional credit with a different emphasis. This course covers hardware and software techniques to improve the energy-efficiency of computing systems. This course studies the fundamentals of cutting-edge techniques and tools for software evolution and maintenance. 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. It emphasizes component-based integration frameworks based on J2EE specification (EJB, Servlets, JMS), inter-organization workflow integration frameworks, and XML framework. (2-2) This course provides an overview and introduction to healthcare data management. An attempted course is defined as any course in which a grade is earned on the transcript, including repeated courses and courses … Course covers practical aspects of computer system security including managing and producing code for secure systems. Topics include performance evaluation, resource management and scheduling, concurrency and synchronization, and communication and networks. Topics include lexical scanning, parsing techniques, static type checking, code generation, dataflow analysis, storage management, and execution environments. Application of HCI as interdisciplinary research tool also will be discussed. Fundamentals of Algorithm Design and Analysis. The covered topics include multi-core processors and shared-memory programming, hardware accelerator programming, and distributed-memory machines and message-passing programming. In SOA, software applications are constructed based on independent component services with standard interfaces. Texas State Office of Distance and Extended Learning Correspondence Self-Paced Studies ... New Course Offerings. History 3329 | Spanish … Supervised individual research projects in a mentor-student relationship with a computer science faculty member. This course covers recent research ideas, methodologies and approaches in networking research. Topics include ALUs, single and multiple cycle datapath and control, RISC vs. CISC, pipelining, caches, I/O, virtual memory, and related performance issues. Please be sure to check that you have completed all pre-requisites Important Note: These non-credit courses are for professional development only.For academic credit opportunities at Texas State, please visit our … The use of design and specification languages in producing software systems. The "Where's My Course?" Students applying without an SAT or ACT will receive a holistic review of their application, which will include consideration of their high school curriculum, level of courses … 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. of the use of machine learning methods. 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. History 3324 | Latin America from Independence to Present. Top. Organismal Biology. This course provides foundations in computer science for students entering the doctoral program who may need certain background or leveling coursework. The course covers the object-oriented methodologies for system analysis, design, implementation, testing, and other aspects of systems development. 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. It may be repeated once. Independent Study in Advanced Computer Science. This course is an introduction to computer science and problem solving techniques with applications in engineering and the physical sciences. They work in teams, developing requirements and designs which they will implement and test. Topic include: patterns of inheritance, genetics, evolution, speciation, phylogenetics, and behavioral population, community, and … A survey of computer languages. This course represents the initial thesis enrollment for the student. Advanced Courses - Spring 2021. Criteria for choosing languages to be covered include history, important development paradigms and environments, and language implementations. Supervised individual research project in a mentor-student relationship with a computer science faculty member. 601 University Dr. | Old Main 102 San Marcos, TX 78666 512.245.2656 email@example.com Texas State College of Fine Arts & Communication School of Art and Design Academics Undergraduate Program Communication Design Course Descriptions Course Descriptions ARTC 1301 (ARTS 2313) Introduction to Communication Design. 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 covers computational and statistical methods for using large-scale data sets (‘big data’) to answer scientific and business questions. vision, etc. Students will gain knowledge and skills needed for game development via team projects. Texas State University has chosen to assess the supplementary fee to those students attempting a course more than twice. Topics covered include lexical and syntactic analysis, syntax-directed translation, type checking, intermediate representation, code generation, and runtime systems. May not be taken for credit if student received credit for CS 4315. 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. Texas State University … Yes. This course represents the continuing thesis enrollments for a student. 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. Texas State Office of Distance and Extended Learning Correspondence Self-Paced Studies ... New Course Offerings. 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. Provides systematic introduction to machine learning, covering basic theoretical as well as practical aspects
May be repeated once but not for credit and requires approval of the department chair. No thesis credit is awarded until student has completed the thesis in CS 5399B. Open to undergraduate students on an independent basis by arrangement with the faculty member concerned. Learn more about our on-campus, online, or hybrid/blended extension courses by visiting the On-Campus and Online Course offerings on this website. And it is a place where faculty, staff, and students take the processes of teaching and learning seriously. 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. Additionally, the course presents related science and engineering foundations as well as graphic design, cognitive science, and perceptual psychology theories and models. Software evolution and maintenance is one of the most important and complex activities in software engineering. The covered topics include: protocol layering, media access, internet routing, transport protocols and applications. Data mining topics include classification, cluster analysis and pattern mining. This course introduces basic concepts and techniques for testing software and finding bugs. Computer system performance evaluation methodology and techniques are also covered. Note: To take online and hybrid courses offered by academic units, a student must be admitted to Texas State University. 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. The student continues to enroll in a Thesis B course until the thesis is submitted for binding. 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