Computer Science

Examines existing tools, environments and programming languages for developing applications for mobile devices on the Android platform. Explores current research on mobile applications and future trends. Multi-career cross-listing: CSCI 323.

Examines existing tools, environments and programming languages for developing applications for mobile devices on the iOS platform. Explores current research on mobile applications and future trends. Multi-career cross-listing: CSCI 324.

Study of the design, implementation and analysis of computer algorithms; time and space requirements for sorting, searching, graph theory, mathematics and string processing algorithms. Not open to those with credit in CSCI 340. Multi-career cross-listing: CSCI 340.

Operating system concepts, process definition and implementation, dead-lick, memory management and protection, distributed system architecture, and case studies. Not open to those with credit in CSCI 370. Multi-career cross-listing: CSCI 370.

Introduces Artificial Intelligence (AI) techniques that include search, game playing, and knowledge representation. Includes specific subdisciplines of AI including natural language processing and neural networks. Programming assignments in both Prolog and LISP. Not open to those with credit in CSCI 405. Multi-career cross-listing: CSCI 405.

Surveys common programming languages for data science with visualization. Explores the development of applications for data-centric software used to visualize and extract actionable knowledge and insights from a collection of heterogeneous data sources that answer specific scientific, socio-political, or business questions. Not open to those with credit in CSCI 411. Multi-career cross-listing: CSCI 411.

Explores data mining methods and procedures for diagnostic and predictive analytics. Includes association rules, clustering algorithms, tools for classification, and ensemble methods. Emphasizes computer implementation and applications. Multi-career cross-listing: CSCI 412. Not available for students with credit in: CSCI 412.

Introduces the efficient processing of large data sets, including non-relational databases and algorithms that allow for the distributed processing of large data sets across clusters. Not open to those with credit in CSCI 413. Multi-career cross-listing: CSCI 413.

Introduces deep learning, a branch of Machine Learning inspired by the human brain network. Explores several types of neural network architectures (e. g., feedforward, convolutional (CNN), and recurrent (RNN) networks). Covers building a Natural Language Processing (NLP) based sentiment analysis system with Long short-term memory (LSTM) neural network.

Develops practical experience via a data science research project, including applying various machine learning models, researching concepts, and preparing research articles. Multi-career cross-listing: CSCI 415. Not available for students with credit in: CSCI 415.

Graphics hardware and software, techniques for representation and visualization, two- and three- dimensional transformations, concepts and techniques of visual realism. Not open to those with credit in CSCI 420. Multi-career cross-listing: CSCI 420.

Reviews algebra of matrices and partial differentiation. Introduction to Machine Vision and Image Processing including image formation, thresholding, image filtering, edge detection, image segmentation, image data compression, image similarity and some dynamic vision. Multi-career cross-listing: CSCI 421.

Fundamentals of transmission protocols and network services. Setting up and configuring network protocols, routing, security, and networking services such as name resolution and dynamic addressing. Lab exercises and case studies. Not open to those with credit in MIS 424. Multi-career cross-listing: MIS 424.

System development using the life cycle, rapid application development, prototyping, software acquisition, structured and object-oriented techniques and project management. Not open to those with credit in MIS 425 or CSCI 475. This course may be offered online. Distance Learning Fees apply if online. Multi-career cross-listing: MIS 425.

Covers Linux system administration concepts and techniques including system organization, kernel configuration, device management, system files and runtime maintenance, software configuration and installation, and network configuration; comparison of Linux with other operating systems. Two-hour lecture; two-hour lab. Enrollment in Lecture (001) and Lab (L081) required. Multi-career cross-listing: CSCI 435. Not available for students with credit in: CSCI 435.

Theory, design and implementation of compilers and other syntax-directed systems. Applies techniques of finite state machines, lexical analysis, symbol tables, parsing, storage allocations and code generation to the development of a compiler. Laboratory work included. Multi-career cross-listing: CSCI 440. Not open for students with credit in CSCI 440.

Covers advanced tools and techniques of project management, including Microsoft Project, and Microsoft Excel, Work Breakdown Structure (WBS), budgeting a project, scheduling a project using PERT/CPM, allocating scarce resources, critical chain and critical path, resource leveling, monitoring the project costs, evaluating and terminating a project. Not open to those with credit in PMGT 441. Multi-career cross-listing: PMGT 441.

Students apply project management skills to a simulated or live project, develop project justification and project plan, and execute the project plan and track performance. Topics include project scheduling, risk analysis, earned value, and teamwork. Not open to those with credit in PMGT 442. Multi-career cross-listing: PMGT 442.

Origins of events; the event-driven programming model; interrupt processing as event handling; client-server architectures; windowing environments and GUI programming; development support software; and case studies. Project work included. Not open to those with credit in CSCI 444. Multi-career cross-listing: CSCI 444.

Explores vulnerabilities and defenses of web-based software systems. Covers web architecture, document security, authentication and attacks and defenses of client-side controls, authentication, session management, access controls, data stores and back-end components. Multi-career cross-listing: CSCI 445. Not available for those with credit in: CSCI 445.

Covers firmware and hardware development. Includes assembly and/or C programming of micro-controllers, interrupt processing, basic hardware and logic design, programming micro-controller peripherals like Analag/Digital Converters (ADC & DAC), timers, Pulse Width Modulation (PWM), comparators, programming and using serial interfaces, basics of printed boards design. Multi-career cross-listing: CSCI 469.

Explores server-side application programming concepts. Includes server architectures, communication protocols, relational databases and database connectivity, dynamic content delivery and communication security. Multi-career cross-listing: CSCI 424.

An Introduction to UML design and teamwork in the development of a larger software system. The use of UML use case, activity, class/object, interaction, and state diagrams in the creation of efficient designs and systems. Not open to those with credit in CSCI 475. Multi-career cross-listing: CSCI 475.

Introduces the principles, methods, and practice of software engineering as an engineering discipline. Not open to those with credit in CSCI 476. Multi-career cross-listing: CSCI 476.

Examines transmission protocols, layered network protocols, network topology, message routing, performance analysis, security, and case studies. Not open to those with credit in CSCI 477. Multi-career cross-listing: CSCI 477.

Computer and network security related to operating systems, networks and system administration issues; hacking; incident response; firewalls, VPNs; intrusion detection, and auditing. Not open to those with credit in CSCI 478. Multi-career cross-listing: CSCI 478.

Reviews relational database languages such SQL and Relational Algebra, query optimization techniques. Non-relational database models including object-oriented databases. XML databases, deductive databases. Data mining, transaction management, concurrency control, text retrieval, and web data management. Not open to those with credit in CSCI 480. Multi-career cross-listing: CSCI 480.

Focuses on risk analysis, including qualitative, quantitative, and ethical risk. Involves investigating an industry or topic of choice, delving into sources of risk information, researching regulation and statistics, and developing a comprehensive analysis of risk related to the selected topic. Multi-career cross-listing: CSCI 481. Not available for students with credit in: CSCI 481.

Explores basic cryptography issues, fundamentals of cryptography and its applications, classical and contemporary ciphers, encryption, and decryption. Focuses on network security and a holistic view of security issues in communication networks, including key management protocols, secure routing, secure data aggregation, secure group communication, and wireless network security issues. Examines cryptography applications, protocols, libraries, and automated tools. Multi-career cross-listing: CSCI 484. Not available for students with credit in: CSCI 484.

In-depth study of new and/or special-interest subject areas within the discipline. May repeat with different topic.

Examines key data science concepts, methods, and processes. Addresses issues for developing, managing and supporting data-driven decision-making in the organization. Provides knowledge and tools for incorporating data science into IT project workflows including data analytics, data warehousing, machine learning, and artificial intelligence.

Explores a variety of computer programming paradigms such as functional, logic, declarative, procedural, concurrent, multi-paradigm and block-based coding. Requires developing computer programs in at least four paradigms.

Introduces technical, administrative, and physical aspects of IT security. Includes fraud, risk, information protection, business continuity, network security, auditing, and security planning and governance.

In-depth study of new and/or special-interest subject areas within the discipline. Subject selection will vary from offering to offering.

Participation in the technical activities of an ongoing organization under the joint guidance and supervision of a member of the organization and a member of the faculty. Grading will be on a credit/no credit basis. May be repeated for a maximum of 6 credits.

Explores research methods used in the computer and information systems discipline including quantitative and qualitative methods. Reviews current research in CIS.

Completion of a CIS project in conjunction with another 600- or 700-level CIS course; includes project documentation and oral and written reports.

Examines social, legal and ethical issues in computing, including privacy, encryption, reliability and risk, free speech, computer crime, intellectual property rights, and personal and professional ethics. Emphasizes development of nontechnical professional skills, including writing and oral presentations.

Independent work on a specific problem in CIS under the supervision of faculty.