Computer Science (CS)

Courses

CS 100 Foundations of Computer Science and Information Assurance 3 Cr.

This survey of computing and information assurance fundamentals is required for computer science and information assurance majors. The course focuses on learning to use key concepts and terminology in information technology, computer science, networking, and information security. Discussions regarding computing ethics, safety, and professionalism are included throughout. 3 Lecture hours. Prerequisites: Open to Computer Science or Computer Security & Information Assurance majors; others by permission. Offered: Fall, Spring.

CS 111 Personal & Professional Cyber Safety 1 Cr.

An introductory, self-paced, instructor-facilitated, online individual study course recommended for freshmen, or any student wanting to use computers, email, and social media safely. Topics include: information attributes to be protected by information security; reducing identity theft risk; preventing disasters by keeping adequate backups; preventing malware attacks; enabling firewalls; using strong authentication; resisting phishing and advance-fee frauds; rejecting telephone frauds; analyzing and resisting false rumors; using email effectively and professionally; avoiding embarrassment by controlling information-sharing; avoiding violations of anti-hacking and anti-piracy laws; and, avoiding accidental plagiarism. 1 Lecture hour. Offered: Fall, Spring.

CS 120 Business Applications & Problem Solving Techniques 3 Cr.

An introductory course in management information processing. The course explores the most important aspects of information systems with specific emphasis on business applications, practical usage, and current information. The student will obtain skills in word processing, spreadsheet analysis, and presentation tools using professional software packages. Structured problem-solving techniques will be emphasized throughout the course. Practical implementation projects and case studies will be used to reinforce topics such as computer, academic, and professional ethics for an information-based society. Prerequisite: Open to Computer Science or Computer Security & Information Assurance majors only. Offered: Fall, Spring.

CS 140 Programming and Computing 4 Cr.

An introduction to computing concepts and programming including the design and implementation of classes and complex data types. The course uses a high-level object-oriented language and emphasizes object-oriented design and implementation techniques. Good software engineering practice and language-specific concepts are introduced by means of programming projects that illustrate the importance of software quality attributes. This course serves as the basis for more advanced programming classes. 3 Lecture hours and 2 Lab hours. Credit may not be earned for CS 140 and CYBR 210. Prerequisite: CS 100, Grade of C or higher. Offered: Fall, Spring.

CS 142 Introduction to Python Programming 3 Cr.

A first course in fundamental computing concepts and object oriented programming using Python applied to problem solving. Designed for students with no programming background. Students learn object oriented programming concepts and syntax, variables and data types, input and output, control of the flow of logic, use of different data sources and structures, functions, modules and exception handling. Examples are drawn from diverse areas. 3 Lecture hours. Credit cannot be earned for CS 140 and for CYBR 110. Offered: Fall, Spring.

CS 188 No Norwich Equivalent 6 Cr.

CS 199 Pilot course 3 Cr.

CS 212 Assembly Language & Reverse Engineering 3 Cr.

An introduction to assembly language and reverse engineering, including relationship among machine language, assemblers, disassemblers, compilers, and interpreters. This courses provides requisite skills for computer forensics, malware analysis, and cryptology. 3 Lecture hours. Prerequisites: CS 140, Grade of C or higher. Offered: Spring.

CS 221 GUI Programming 3 Cr.

A study of the design and implementation of the graphical user interface. The course will present fundamentals of usability and human factors in GUI design. One or more of the following will be studied and implemented in a student project: Visual Basic programming, Web programming, GUI code generators. Prerequisite: CS 140 or CS 142 grade of C or higher. Offered: Occasionally.

CS 228 Introduction to Data Structures 3 Cr.

An introduction to the basic concepts of algorithm analysis, data representation, and the techniques used to operate on the data. Topics include searching, sorting, linked lists, stacks, queues, trees, hash tables, graphs. 3 Lecture hours. Prerequisite: CS 140 or CYBR 210, Grade of C or higher. Offered: Fall.

CS 240 Database Management 3 Cr.

A study of the concepts and structures necessary to design and implement a database management system. Various data models will be examined and related to specific examples of database management systems including Structured Query Language (SQL). Techniques of system design, system implementation, data security, performance, and usability will be examined. 3 Lecture hours. Prerequisite: CS 140 or CS 142, grade of C or higher. Offered: Spring.

CS 250 Virtual Systems Administration 3 Cr.

This course includes a combination of classroom lecture on network and virtualization theory as well as a variety of hands on exercises to provide students with an understanding of how to configure and manage a VMware ESX environment. Students will also learn how to carry out administration tasks specific to the day-to-day operations of the NUCAC-DF. Some of these tasks will include how to build and maintain classroom environments, understanding requirements given by professors and instructors for classrooms, and overall maintenance of the systems in the Center for Advanced Computing and Digital Forensics. 3 Lecture hours. Prerequisite: Permission of Instructor. Offered: Occasionally.

CS 260 Data Communications and Networks 3 Cr.

An introductory study in fundamental concepts of computer networks and data communication including a survey of major protocols, standards, and architectures. Students use concepts and terminology of data communications effectively in describing how software applications and network services communicate with one another. Students read and analyze network traces to monitor communications, diagnose issues, and evaluate protocols. 3 Lecture hours. Credit cannot be earned in CS 260 and CYBR 201. Prerequisite: CS 100, grade of C or higher. Offered: Spring.

CS 270 Operating Systems & Parallelism 3 Cr.

An introduction to the theory and structure of modern operating systems, including hardware abstraction, process management, memory management, system performance, and security. Specific attention to multi-threaded processing, semaphores, locking and interprocess communication. 3 Lecture hours. Prerequisites: CS 140 or CS 142, grade of C or higher. Offered: Spring.

CS 280 Introduction to Data Science 3 Cr.

Students learn data science foundations of data collection, manipulation, formulation, summarization, visualization and analytics by applying and mastering the use of data containers (e.g."data frames") to problems or questions of focal interest. 3 Lecture hours. Prerequisite: CS 142. Grade of C or higher or instructor permission. Offered: Fall, Spring.

CS 288 No Norwich Equivalent 6 Cr.

CS 290 Contemporary Data Visualization 3 Cr.

Students study and apply exploratory analysis and visual representation of data using contemporary software tools, algorithms and large data sets. Students discover, display and convey meaningful data relationships that target audiences may readily and correctly understand and use. 3 Lecture hours. Prerequisite: CS 142. Offered: Fall.

CS 299 Pilot Course 3 Cr.

A course is permitted to run as a pilot, without seeking faculty approval for one academic year. The section will include the title of the course. A student will not earn credit for a pilot course and the course when approved as its own course. A maximum of 6 hours is permitted when under a different topic.

CS 300 Management Information Systems 3 Cr.

This course provides an overview of information systems, their role in organizations, and the relationship of information systems to the objectives and structure of an organization. Management of software projects, decision making with regard to systems development, and organizational roles with regard to information systems is also discussed. Prerequisite: Not open to Computer Science or Computer Security & Information Assurance majors. Offered: Fall, Spring.

CS 301 Software Engineering 3 Cr.

An in-depth introduction to the software development life cycle, the techniques of information analysis, testing, and the logical specification of software. Particular attention to project management, documentation, and interpersonal communication. Utilizing industry-standard methods, the student progresses through the phases of specification, design, implementation, and testing of information systems. Object-oriented design techniques are used to design new logical and new physical systems for business-related problems. 3 Lecture hours. Prerequisite: CS 140 or CS 142, grade of C or higher.

CS 305 Advanced Data Science 3 Cr.

Students learn and apply advanced data science concepts and methods to a research topic of their interest chosen in consultation with the instructor. 3 Lecture hours. Restriction: Junior or higher. Prerequisite: CS 280 and EN 201. Offered: Fall, Spring.

CS 315 Intro to Data & Web Mining 3 Cr.

Students learn and apply fundamentals of Data and Web-mining such as classification, clustering, association-rule mining and pattern mining through hands-on exploration of Web resources and other large sets of structured and unstructured data. Students examine and use a variety of broadly applicable, practical techniques to discover and extract meaningful patterns from both example data sets and real world data sources of particular interest to their academic and professional interests. 3 Lecture hours. Prerequisite: CS 280. Offered: Fall.

CS 323 Surveillance and Privacy in Germany 3 Cr.

An introduction to and comparison between legal, social, historical, political, and technical issues surrounding surveillance and privacy in Germany and the United States. In addition to surveillance and privacy, students research, analyze, and discuss issues of transparency, free speech, democratic dissent, social control, corporate and governmental power, and political parties. 3 Lecture hours. Prerequisite: CS 100, Grade of C or higher. Offered: Summer.

CS 330 Ethics in Computing and Technology 3 Cr.

The course examines ethical dilemmas resulting from current technological trends, as well as the ethical standards and creeds of a variety of organizations (e.g., Association for Computing Machinery). Students learn to evaluate case studies from an ethical perspective. Students are expected to conduct literature surveys, produce bibliographies, write literature reviews, and present oral summaries of research as well as offer critical evaluation of writings related to ethics and technology. Offered: Occasionally.

CS 388 No Norwich Equivalent 6 Cr.

CS 399 Pilot course 3 Cr.

CS 406 Special Topics in Computer Science 1-4 Cr.

A study of topics chosen from areas of current interest that are not offered as part of the permanent curriculum. Topics are chosen by instructors on a semester-by semester basis. Students may take the course up to five enrollments provided each semester taken covers a substantively different topic. 3 Lecture hours. Prerequisite: Permission of Instructor. Offered: Occasionally.

CS 407 Politics of Cyberspace 3 Cr.

This course explores the interrelations of modern computing and communications technology with politics, power, news, privacy, crime, and creativity. The course assumes only a rudimentary familiarity with the basic concepts and terminology of modern Internet usage and computing and is not a technology-focused course. Prerequisite: Sophomore 2 or higher. Offered: Fall, Spring.

CS 410 Computing Internship 1-6 Cr.

Written academic products are required. A supervisor within the sponsoring organization must provide a written description of the internship beforehand, and a final performance evaluation of the student. Students may take the course more than once, up to a maximum of 18 hours earned credit, provided each semester taken covers a substantively different topic. Earned internship credit may be applied to not more than two required CS/CSIA major technical/concentration electives. Prerequisites: Junior or higher. Good academic standing. Permission of Instructor and CS/CSIA Department Chair or Director approval. Offered: Fall, Spring.

CS 420 Computer Science capstone I 3 Cr.

A two-semester course sequence normally taken in the Senior year. Based on the subject matter mastered during their previous coursework, students (individually or in a group) identify a current topic to study in depth. As part of their studies, they develop either a working software project or produce a substantial data or hardware artifact. This course represents the first semester of a students work towards such a project. Prerequisites: Junior or higher. Computer Science major. Offered: Fall.

CS 421 Computer Science capstone II 3 Cr.

As the second semester of the two-course capstone sequence, this course serves as a continuation of CS 420. Prerequisite: CS 420. Offered: Spring.

CS 430 Computer Science Undergraduate Thesis I 3 Cr.

The computer science undergraduate thesis is a two-semester course sequence normally taken in the Senior year. The course introduces students to the breadth of tasks involved in independent research, including library work, problem formulation, experimentation, and writing and speaking. Based on the subject matter mastered during previous coursework, students (individually or in a group) identify a current topic to study in depth. Students produce an original research paper. This course represents the first semester of a student’s work towards such a project. Prerequisites: Junior or higher. Computer Science major. Offered: Fall.

CS 431 Computer Science Undergraduate Thesis II 3 Cr.

The second semester of the two-course thesis sequence. Prerequisite: CS 430. Offered: Spring.

CS 437 Machine Learning & Artificial Intelligence 3 Cr.

Students learn and apply fundamental concepts of machine learning and artificial intelligence through reading and synthesizing current research, hands-on application of artificial neural networks, construction of applications using machine and deep learning algorithms and contrasting current methods with significant, relevant alternatives. Students apply artificial intelligence paradigms such as expert system shells to approach practical, complex problems of particular relevance to their areas of study. Example areas include image and video analysis and classification, medical diagnosis and disease response, cybersecurity, drug discovery, dosage and content management in social media. 3 Lecture hours. Restriction: Junior or higher. Prerequisite: CS 315 and MA 306 or instructor permission. Offered: Spring.

CS 488 No Norwich Equivalent 6 Cr.