Catalog Entries |
Fall 2020
Apr 26, 2024 |
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 | Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. |
| CSCI 101 - Problem Solving with Computers |
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Designed to introduce concepts, techniques and history of computing to students who are not computer science majors. Emphasis on problem solving using the computer, including making calculations and presenting reports, tables and graphs based on those calculations. Collecting, storing, updating and retrieving data. Display and interpretation of information using the Internet. No credit toward computer science major.
0.000 OR 4.000 Credit hours 2.000 Lecture hours 2.000 Lab hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department Course Attributes: (ENTR) Entrepreneurship Minor, (G2) Science & Technology Area |
| CSCI 121 - Intro to Internet Programming |
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Designed to introduce Internet programming to students who are not computer science majors. Topics include web page design, scripting languages, graphics animation, image handling, keyboard and mouse handling, document object model and graphical interface control objects. Some coverage of VBScript and conversion from Microsoft Office® applications to web pages. No credit toward computer science major. Offered periodically.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department Course Attributes: (ENTR) Entrepreneurship Minor, (G2) Science & Technology Area |
| CSCI 140 - Discrete Structures |
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Discrete mathematical structures and their application to computer science including formal mathematical notation and proofs, algorithms, computer related arithmetic, propositional logic, predicate logic, set theory, graphics, relations and databases, functions, matrices and combinatorics. Prereq: Placement in MATH 160 or higher.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 161 - Introduction to Programming 1 |
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Introduction to computer programming for the student intending to major in computer science or related fields. Emphasis on developing ability to apply problem-solving strategies to design and implement algorithms in a modern programming language. Prereq: Placement in MATH 160 or higher.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, By Examination, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department Course Attributes: (G2) Science & Technology Area |
| CSCI 162 - Introduction to Programming 2 |
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Continuation of CSCI 161 covering advanced computer programming techniques. Emphasis on object-oriented programming, specification, design, elementary data structures, and proper use of programming language and development tools. Abstract data types, classes and objects, recursion, linked lists, queues, stacks and binary trees. Prereq: C or higher in CSCI 161.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, By Examination, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department Course Attributes: (G2) Science & Technology Area |
| CSCI 179 - Experimental |
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Experimental
3.000 OR 4.000 Credit hours 3.000 OR 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Science and Mathematics Division Computer Science Department |
| CSCI 279 - Experimental |
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Experimental
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Science and Mathematics Division Computer Science Department |
| CSCI 300 - Co-Op Ed Experience in CSCI |
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Co-Op Ed Experience in CSCI
3.000 TO 12.000 Credit hours 3.000 TO 12.000 Lecture hours Levels: Undergraduate Schedule Types: Coop / Internship / Clinical Science and Mathematics Division Computer Science Department |
| CSCI 330 - Programmng Languages |
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Introduction to the fundamental principles of programming language design, semantics, and implementation. Structure and vocabulary of modern programming languages. Programming language topics include formal semantics of programming, name binding, scope, data types, type systems, control flow, object orientation, scripting languages, functional languages, polymorphism, and concurrency. Labs and assignments will include experience in writing programs in a nonprocedural programming paradigm. Pre- or co-requisite: CSCI 362
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 340 - Computational Models |
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Introduction to theory of computation. Topics include finite state automata, regular languages and grammars, pushdown automata, context-free languages and grammars, Turing machines, limits on algorithmic computation. Offered in spring. Prereq: C- or higher in CSCI 140, 162.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 350 - Cognitive Science |
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Basic introduction to cognitive science. Reviews attempts to understand cognition using insights from psychology, artificial intelligence, philosophy, linguistics and the neurosciences. Examines the synthesis of those attempts in the emergent field of cognitive science. Offered periodically. Prereq: COMM 100, ENGL 110, junior status. No credit given if credit earned in PSYC/CSCI 314.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Science and Mathematics Division Computer Science Department Course Attributes: (P) Perspectives |
| CSCI 362 - Data Structures |
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Abstract data types, objects, algorithm design and analysis, trees, graphs, sorting and searching. Emphasis on ADT-based and object-oriented design, incremental development and testing, and comparison of data structure implementations. Offered in fall, spring. Prereq: C- or higher in CSCI 140 and CSCI 162.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 366 - Database Systems |
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Introduction to building database-driven applications. Topics include data modeling, building databases, database queries, basic data management, Model View Controller design paradigm, basic database-driven application development, and non-relational database systems. Pre-req: C- or higher in CSCI 162 and CSCI 140 or MATH 120.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 366H - Hon:Database & Web Develpmnt |
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4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 370 - Computer Architecture |
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Structure of digital computers including register transfer notation, instruction set architecture, computer arithmetic, pipelining and parallel processors. Offered in fall. Prereq: C- or higher in CSCI 140, 162.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 375 - Comp Grphcs and Virtual Realty |
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Theory and implementation of computer graphics, including mathematical basis for computer representation of 3D objects. Graphical programming assignments use current hardware, software and graphic standards. Topics include graphics pipeline, vertex processing, 3D transformations, primitives, clipping, projections, rasterization, fragment processing, texturing, blending, shaders and lighting models. Offered periodically. Prereq: C- or higher in CSCI 362.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 379 - Experimental |
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Experimental
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Science and Mathematics Division Computer Science Department |
| CSCI 380 - Operating Systems |
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Design and implementation of operating systems including types of operating systems, file systems, resource management, concurrent processes, deadlocks, memory management techniques, processor scheduling, disk scheduling, operating system security and system administration. Students expected to develop significant operating systems programming projects. Offered in fall, spring. Prereq: C- or higher in CSCI 362, 370.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 395 - Computer Networks |
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Introduction to computer networks. Topics include network media, architecture and topology, protocols and layering, client-server models, Ethernet media and hardware, TCP/IP and other protocols, setup and system administration, application protocols and communication, network servers and services, security, data integrity, encryption, and firewalls. Offered periodically. Prereq: C- or higher in CSCI 362, ENGL 110.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department Course Attributes: (W) Writing Component |
| CSCI 395H - Hon: Computer Networks |
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4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department Course Attributes: (W) Writing Component |
| CSCI 400 - Co-Op Ed Experience in CSCI |
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Co-Op Ed Experience in CSCI
3.000 TO 12.000 Credit hours 3.000 TO 12.000 Lecture hours Levels: Undergraduate Schedule Types: Coop / Internship / Clinical Science and Mathematics Division Computer Science Department |
| CSCI 406 - Topics in Computer Science |
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This course allows students and faculty to explore various topics in computer science that are not included in other course offerings. CSCI 406 may be taken more than once for cedit with departmental approval. Offered periodically. Prereq: depends on topic to be studied.
1.000 TO 4.000 Credit hours 1.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 406H - H Topics: |
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H Topics:
1.000 TO 4.000 Credit hours 1.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 415 - Computer and Network Security |
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This course is designed to introduce students to topics which include attacks, standards, data integrity, symmetric key encryption, public key encryption, authentication, electronic mail security, IP security, Web security, database security, secure electronic transactions, network manage- ment security, malicious software and firewalls. Offered periodically. Prereq: C- or higher in CSCI 362.
4.000 Credit hours 3.000 Lecture hours 1.000 Lab hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 419 - Mobile Device App Development |
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This course will provide students with the skills necessary to design, develop, and deploy mobile device applications technology. Emphasis is placed on introducing students to the development environments, software and hardware limitations, and GUI development and event handling concepts when developing code to be executed on hand held devices. This course includes a laboratory component for example using Android/Java and IOS/iPhone/iPad Apps development environments. The successful student will learn the fundamental techniques for building mobile device apps including skills to write networked mobile apps that interact with remote services such as GPS, Bluetooth services, wireless hubs and devices, and web based client/server data systems. Pre-req: C- or higher in CSCI 362
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 420 - Software Engineering |
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Overview of software engineering concentrating on phases of the software development life cycle including waterfall model, iterative enhancement, prototyping, axiomatic and algebraic specifications, user interface design, and object-oriented design, testing, quality assurance and reliability. Team project provides students with practical experience applying techniques. Offered in spring. Prereq: C- or higher in CSCI 330 and CSCI 362.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 425 - Human-Computer Interaction |
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Design, evaluation and implementation of interactive computing systems for human use including study of the major phenomena surrounding them. Presents a broad overview of the field with an emphasis on interface development and evaluation. Offered periodically. Prereq: C- or higher in CSCI 362 required; CSCI 380 recommended.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 435 - Compiler Construction |
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Students implement a compiler for a simplified modern programming language. Theory of compiler construction, including finite-state automata, LL(1) grammars and top-down parsing. Project includes lexical and syntax analysis, name storage, scope and type analysis, error recovery and code generation. Advanced topics covered as time permits, including LR(k) grammars, bottom-up parsing, compiler generators (e.g., LEX and YACC) and code optimization. Offered periodically. Prereq: C- or higher in CSCI 330, 340, 362.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 450 - Artificial Intelligence |
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Introduction to artificial intelligence including problem solving, search, heuristic methods, machine learning, knowledge representation, natural language processing, computer vision, expert systems, theorem proving and current applications. Concepts illustrated through programs developed in LISP or Prolog. Offered periodically. Prereq: C- or higher in CSCI 362 and ENGL 110.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Science and Mathematics Division Computer Science Department Course Attributes: (W) Writing Component |
| CSCI 452 - Data Mining |
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An introduction to data mining, including data cleaning, the application of statistical and machine learning techniques to discover patterns in data, and the analysis of the quality and meaning of results. Machine learning topics may include algorithms for discovering association rules, classification, prediction, and clustering. Lab assignments provide practice applying specific techniques and analyzing results. An independent project provides students with the opportunity to guide a project from data selection and cleaning through to presentation of results. Pre-req: C- or higher in CSCI 366 and MATH 235 or 333 or 335.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 453 - Lg Scale Data Analytics & Viz |
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A practical introduction to data analytics, visualization, and blending theory. Students will learn about and apply various clustering algorithms and techniques for dealing with noisy data, use a distributed data analytics framework, complete laboratory assignments using version control, and enforce reproducibility by having all science easily sharable. Students will become familiar with modern data analytics methods and explore real-world data sets. Visualization of results will be a large component of the course through interactive and static frameworks. Pre-req: C- or higher in CSCI 366 and MATH 235 or 333 or 335.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 456 - Robotics and Computer Vision |
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Intelligent robotic systems that deal with the physical world through visual, acoustic or tactile sensing. Fundamentals of robot vision, including image acquisition and camera geometry, pattern recognition, representation and analysis of shape, pixel neighborhoods, connectivity, distance measures, arithmetic operations on pixels and images, computations of area, centroid, moments, axis of least inertia, correlation techniques, histogram computation, manipulation of robot end effectors, robot task coordination and simple Cartesian robot manipulation. Offered periodically. C- or higher in CSCI 362.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 467 - Analysis of Algorithms |
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Theory and techniques of algorithm design and analysis. For design, students will study a variety of algorithmic solutions to problems from application areas including searching, selecting, sorting, graph theory, number theory and encryption. Design paradigms, including greedy method, divide and conquer, dynamic programming, backtracking and branch-and-bound. For analysis, students will use formal techniques to classify execution time of an algorithm. Software tools are used to measure resources used by a program during execution. Offered infrequently. Prereq: C- or higher in CSCI 340.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 475 - 3D Game Prgmmg/Cmptr Animation |
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Provide students with skills and solid technical foundation necessary to design, develop and deploy 3D games and related entertainment technology applications. Topics include 3D game programming, 3D graphics, game design, programming video game controllers, collision detection, force and motion calculations, networking multiplayer games, manipulating sound objects, physical modeling, projectiles, particle systems, physical constraints, deformation of virtual 3D objects, surface deformation, computer animation, forward and inverse kinematics, keyframe motion capture and procedural animation, and behavior-based animation and control. Offered periodically. Prereq: C- or higher in CSCI 362.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 476 - Parallel Programming |
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Overview of parallel computing through study of parallel programming. Topics include message-passing, highly parallel computations, partitioning and divide-and-conquer strategies, pipelined and synchronous computations, load balancing and termination detection, programming with shared memory systems, parallel sorting algorithms, numerical algorithms, image processing, searching and optimization, and parallel programming using current technology. Offered periodically. Prereq: C- or higher in CSCI 362, 370.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 479 - Experimental |
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Experimental
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Science and Mathematics Division Computer Science Department |
| CSCI 489 - Honors Course |
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Honors Course
1.000 TO 4.000 Credit hours 1.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Independent Study Science and Mathematics Division Computer Science Department |
| CSCI 498 - Independent Study |
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Independent study is available for well-qualified students. Students who receive approval for independent study are expected to complete a significant study or project in some area of computer science. A written report is required. Prereq: departmental permission.
1.000 TO 4.000 Credit hours 1.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Independent Study Science and Mathematics Division Computer Science Department |
| CSCI 499 - Departmental Honors |
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Departmental Honors
1.000 TO 4.000 Credit hours 1.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Independent Study Science and Mathematics Division Computer Science Department |
| CSCI 501 - Coding for Educators |
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This course is designed for k-12 teachers who have either little or no exposure to coding. Teachers will be guided to incorporate basic coding into their curriculum. This will include, introduction to computational thinking; hands-on HTML; hands-on/ unplugged coding activities; exposure and application to Scratch, Java, Python; and introduction to digital footprinting. Each teacher will create a take-home product that includes tools and coding activities that they can apply directly to their classes.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 579 - Experimental |
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Experimental Graduate Course in Computer Science
1.000 TO 3.000 Credit hours 1.000 TO 3.000 Lecture hours Levels: Graduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| CSCI 697 - Topics in Computer Science |
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Topics in Computer Science
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 120 - Integrated IT Projects |
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Introduction to the use of information technology to retrieve, filter, process, classify, sort, and evaluate data and information in a business environment. Developing word processing, spreadsheets, database, scripting, and presentation skills to create integrated projects for business and workplace environments.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 130 - Fundamentals of IT |
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This course provides students with a working knowledge of the terminology, processes, and components associated with information technology. Students will be introduced to the creation, organization, analysis, storage, retrieval, representation, and transmission of data and information as well as work force considerations, and related societal and ethical issues with respect to IT.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 230 - Network Concepts |
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An introduction to computer network concepts that includes fundamental protocols and administration. Computer network communications will be discussed including LAN and WAN topologies, protocols and services, such as TCP/IP, and Ethernet, within the context of the OSI Reference Model, multimedia, and content distribution networks. Topics in network management will also be covered, including users/groups, file permissions, system maintenance, and trouble shooting. Network management, packet analyzer, and network simulation tools may be used.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 240 - Fundamentals of Web Tech |
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Introduction to web-based information systems that includes the principles and practices of website design, website implementation, and evaluation of web-based applications including related software, databases, interfaces, and platforms. The importance of design, usability, and accessibility of website design strategies will be covered. Security and privacy issues related to web-based information systems are also explored.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 300 - Co-Op/Internship in INTE |
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Internship in Information Technology
3.000 TO 12.000 Credit hours 3.000 TO 12.000 Lecture hours Levels: Undergraduate Schedule Types: Coop / Internship / Clinical Science and Mathematics Division Computer Science Department |
| INTE 350 - Cybersecurity |
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Investigate vulnerability of computer networks, systems, and computer applications. Learn methods of mitigation and/or prevention of cybercrime. Attributes of cybercrime such as virus attacks, identity theft, electronic funds transfers, and phishing will be examined along with an introduction to the cybersecurity script programming paradigm.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 360 - IT Risk Management |
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Explores Networking Security from the perspective of risk management to develop strategies to mitigate and manage risks. Focuses on assessment strategies for effective mitigation measures and risk management practices in terms of cybersecurity. Risk Management Fundamentals and Managing Risks as Threats, Vulnerabilities, and Exploits will be covered and methods on how they are applied in cyber security decisions will be investigated.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 365 - IT in Health Care |
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Students will apply fundamental skills in information technology to database design, data structures, software applications, and their management functions in health services organizations. Techniques in database design and management in the health care system will be discussed.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 400 - Co-Op/Internship INTE |
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Internship in Information Technology
3.000 TO 12.000 Credit hours 3.000 TO 12.000 Lecture hours Levels: Undergraduate Schedule Types: Coop / Internship / Clinical Science and Mathematics Division Computer Science Department |
| INTE 410 - IT Project Management |
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This course covers technical and behavioral aspects of the successful management of information systems developments. Topics include needs identification, system project manager and team, system project organizations, project communications, system project planning, scheduling, control, associated costs, and using project management software tools. Examples of IT project management process will be explored for different industry lines with respect to system development activities and System Development Life Cycle. INTE 360 is recommended.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 420 - Fundamentals OS Management |
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This is an introduction to the foundational principles of operating systems. Topics include system management in memory, processor, process and thread mechanics, devices, network, file and directory, graphical and command line user interfaces. Essentials for effective administration and maintenance of an operating system and its services will be discussed. In addition, students will learn to install, manage, and secure an operating system.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 425 - Data Explor and Visualization |
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Students will learn dataset elements, data collection, representation and querying techniques, visual variables and statistical tools for graphing, and preparation of data for further analysis, with emphasis on issues related to healthcare. Students will also be introduced to data science tools and related coding techniques.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 440 - Human-Computer Interaction |
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This course studies the effective and productive information systems, including interactive computer systems, input and output devices, screen layouts, machine design, health issues, organizational impacts, and access for people with disabilities. Topics include interaction system design, conceptualizing interaction, cognitive aspect of users, social interaction, emotional interaction with systems, and interfaces. The process of designing user-friendly interfaces will be discussed including data gathering, data analysis, interpretation, and presentation.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 465 - Data Analytics in Health Care |
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An introduction into the uses of data analytics in population health practices and their administration. Students will explore the development of validated predictive analytics and their application in clinical interventions. The intersection of data analytics with ethics will also be discussed.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department |
| INTE 489 - Honors Course |
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Honors Course Information Technology
1.000 TO 4.000 Credit hours 1.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Independent Study Science and Mathematics Division Computer Science Department |
| INTE 498 - Independent Study |
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1.000 TO 4.000 Credit hours 1.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Independent Study Science and Mathematics Division Computer Science Department |
| INTE 499 - Departmental Honors |
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Departmental Honors Thesis Course
1.000 TO 4.000 Credit hours 1.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Independent Study Science and Mathematics Division Computer Science Department |
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