This course will introduce many fundamental cybersecurity concepts. The course will teach students to think about information systems using an adversarial mindset, evaluate risk to information systems, and introduce controls that can be implemented to reduce risk. Topics will include authentication systems, data security and encryption, risk management and security regulatory frameworks, networking and system security, application security, organizational and human security considerations, and societal implications of cybersecurity issues. These topics will be discussed at an introductory level with a focus on applied learning through hands-on virtual lab exercises.

A first course introducing students to the fundamentals of computational problem-solving. Students will learn a systematic approach to problem-solving, including how to frame a problem in computational terms, how to decompose larger problems into smaller components, how to implement innovative software solutions using a contemporary programming language, how to critically debug their solutions, and how to assess the adequacy of the software solution. Additional topics include an introduction to object-oriented programming and data structures such as arrays and stacks. Students will complete both in-class and out-of-class assignments.

This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering.  It emphasizes the understanding of concepts, and using them to solve physical problems.  The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals.

Introduction to the field of psychology. Provides a survey of basic concepts, theories, and research methods. Topics include: thinking critically with psychological science; neuroscience and behavior; sensation and perception; learning; memory; thinking, language, and intelligence; motivation and emotion; personality; psychological disorders and therapy; and social psychology.

This course is designed to help students develop the literacy practices they will need to be successful in their First-Year Writing course. Students will read, understand, interpret, and synthesize a variety of texts. Assignments are designed to challenge students intellectually, culturally and rhetorically. Through inquiry-based assignment sequences, students will improve their writing by developing academic research and literacy practices that will be further strengthened in First-Year Writing. Particular attention will be given to critical reading, academic writing conventions, and revision. Small class size promotes frequent student-instructor and student-student interaction. The course also emphasizes the principles of intellectual property and academic integrity in academic writing.

A second course that delves further into computational problem solving, now with a focus on an object-oriented perspective. There is a continued emphasis on basic software design, testing & verification, and incremental development. Key topics include theoretical abstractions such as classes, objects, encapsulation, inheritance, interfaces, polymorphism, software design comprising multiple classes with UML, data structures (e.g. lists, trees, sets, maps, and graphs), exception/error handling, I/O including files and networking, concurrency, and graphical user interfaces. Additional topics include basic software design principles (coupling, cohesion, information expert, open-closed principle, etc.), test driven development, design patterns, data integrity, and data security.

This course provides an introduction to wired network infrastructures, topologies, technologies, and the protocols required for effective end-to-end communication.   Basic security concepts for TCP/IP based technologies are introduced.   Networking layers 1, 2, and 3 are examined in-depth using the International Standards Organization’s Open Systems Interconnection and TCP/IP models as reference.  Course topics focus on the TCP/IP protocol suite, the Ethernet LAN protocol, switching technology, and routed and routing protocols common in TCP/IP networks. The lab assignments mirror the lecture content , providing an experiential learning component for each topic covered.

This is the second in a two-course sequence.  It emphasizes the understanding of concepts, and using them to solve physical problems.  The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series,

This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems.

Writing Seminar is a three-credit course limited to 19 students per section. The course is designed to develop first-year students’ proficiency in analytical and rhetorical reading and writing, and critical thinking. Students will read, understand, and interpret a variety of non-fiction texts representing different cultural perspectives and/or academic disciplines. These texts are designed to challenge students intellectually and to stimulate their writing for a variety of contexts and purposes. Through inquiry-based assignment sequences, students will develop academic research and literacy practices that will be further strengthened throughout their academic careers. Particular attention will be given to the writing process, including an emphasis on teacher-student conferencing, critical self-assessment, class discussion, peer review, formal and informal writing, research, and revision. Small class size promotes frequent student-instructor and student-student interaction. The course also emphasizes the principles of intellectual property and academic integrity for both current academic and future professional writing.

This course builds upon basic programming skills to give students the programming knowledge necessary to study computing security. Students will be introduced to network programming, memory management, and operating system calls along with associated security concepts. Specific focus will placed on understanding the compilation process and on the relation between high-level programming concepts and low-level programming concepts, culminating in identifying and exploiting memory corruption vulnerabilities.

This course is designed to give students an understanding of the role of the system administrator in large organizations.  This will be accomplished through a discussion of many of the tasks and tools of system administration.  Students will participate in both a lecture section and a separate lab section.  The technologies discussed in this class include: operating systems, system security, and service deployment strategies.

This course is part of a two-semester course that combines an integrated approach to interconnected, interdisciplinary principles of environmental science through case studies, site visits and fieldwork. Through the given literature, discussion at lectures and case studies dealing with global environmental problems, as well as environmental problems related to the Dalmatian coast, students will learn how to critically analyze environmental problems from a multidisciplinary perspective and propose solutions.

This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.    

This course will teach students the core concepts needed to analyze unknown source code. Students will study a variety of low-level programming languages and how high-level programming language structures relate to low-level programming languages. Students will learn study tools and techniques used for both static and dynamic analysis of unknown binaries, providing the foundation for further study in malware analysis.  

This course will investigate the protocols used to support network based services and the tasks involved in configuring and administering those services in virtualized Linux and Windows internet working environments. Topics include an overview of the TCP/IP protocol suite, in-depth discussions of the transport layer protocols, TCP and UDP, administration of network based services including the Dynamic Host Configuration Protocol (DHCP), Domain Name Service (DNS), Secure Shell (SSH), and Voice Over IP (VoIP).  Students completing this course will have   thorough theoretical knowledge of the Internet Protocol (IP), the Transport Control Protocol (TCP), and the User Datagram Protocol (UDP), as well as experience in administering, monitoring, securing and troubleshooting an internet work of computer systems running these protocols and services.

Learn how data furthers understanding of science and engineering. This course covers basic statistical concepts, sampling theory, hypothesis testing, confidence intervals, point estimation, and simple linear regression. A statistical software package such as MINITAB will be used for data analysis and statistical applications.

This course examines ethical questions that arise in the course of day-to-day individual and social life. Some consideration will be given to ethical theory and its application to such questions, but emphasis will be on basic moral questions and practical issues. Examples of typical issues to be examined are: What are the grounds for moral obligations like keeping promises or obeying the law? How do we reason about what to do? Examples of typical moral issues that may be introduced are capital punishment, euthanasia, abortion, corporate responsibility, the treatment of animals, and so forth.

Career-related work experience. Employment within the food, hospitality or tourism service management industries is monitored by the Hospitality and Service Management Program and the Office of Cooperative Education and Career Services. Coop work is designed for the student to experience progressive training on the job as related to the academic option. Sophomores begin co-op the summer following their second-year studies. Graduation requirement: 2 coops. Department permission is required. (Academic Level 2 thru 4, Degree Seeking students.) CO OP (Fall, Spring, Summer).

This course provides an introduction to cryptography, its mathematical foundations, and its relation to security. It covers classical cryptosystems, private-key cryptosystems (including DES and AES), hashing and public-key cryptosystems (including RSA). The course also provides an introduction to data integrity and authentication.  Students cannot take and receive credit for this course if they have credit for CSCI-662.

This course will discuss cybersecurity defensive measures and their application to protecting computing endpoints. The course will focus on studying, analyzing, and understanding vulnerabilities and threats along with the preventative and detective controls necessary to mitigate risk. Defensive endpoint-based controls will be explored and applied with hands-on exercises.

A presentation of the fundamental concepts and theories used in organizing and structuring data. Coverage includes the data modeling process, basic relational model, normalization theory, relational algebra, and mapping a data model into a database schema. Structured Query Language is used to illustrate the translation of a data model to physical data organization. Modeling and programming assignments will be required. Note: students should have one course in object-oriented programming. (Prerequisites: ISTE-120. Lec/Lab Spring).

Access control and authentication systems are some of the most critical components of cybersecurity ecosystems. This course covers the theory, design, and implementation of systems used in identification, authentication, authorization, and accountability processes with a focus on trust at each layer. Students will examine formal models of access control systems and approaches to system accreditation, the application of cryptography to authentication systems, and the implementation of IAAA principles in modern operating systems. A special focus will be placed on preparing students to research and write about future topics in this area.

This course is designed to give students a foundation in the theories and practice relating to web application security. The course will introduce students to the concepts associated with deploying and securing a typical HTTP environment as well as defensive techniques they may employ.

The course will introduce students to the application of intelligent methodologies in computer security and information assurance systems design. It will review different application areas such as intrusion detection and monitoring systems, access control and biological authentication, firewall structure and design. The students will be required to implement a course project on design of a particular security tool with an application of an artificial intelligence methodology and to undertake its performance analysis.  Students cannot take and receive credit for this course if they have credit for CSCI-735.

Through hands-on projects and case studies, this course illustrates concepts and applications of raster and vector geographic information systems (GIS) in a variety of disciplines, such as environmental science, biology, geology, geography, sociology, and economics.  Students will learn how to use GIS software and spatial analyses, plan a project, create a database, and conduct an independent project.  Students should have completed a foundational course in their major and be comfortable working with computers.  Experience with programming is also useful. (Foundational course in student's major field of study or permission of instructor).

Why are we still so bad at protecting computer systems? Is it because we don’t have good enough technology? Or because we lack sufficient economic incentives to implement that technology? Or because we implement technologies but then fail to use them correctly? Or because the laws governing computer security are so outdated? Or because our legal frameworks are ill-equipped to deal with an international threat landscape? All these reasons—and others— have been offered to explain why we seem to see more and more large-scale cybersecurity incidents and show no signs of getting better at preventing them. This course will examine the non-technical dimensions of this problem—the laws and other policy measures that govern computer security threats and incidents. We will focus primarily on U.S. policy but will also discuss relevant policies in the E.U. and China, as well as international tensions and norms. The central themes of the course will be the ways in which technical challenges in security can be influenced by the social, political, economic, and legal landscapes, and what it means to protect against cybersecurity threats not just by writing better code but also by writing better policies and laws.

The three key elements of risk management will be introduced and explored. These are risk analysis, risk assessment, and vulnerability assessment. Both quantitative and qualitative methodologies will be discussed as well as how security metrics can be modeled, monitored, and controlled. Several case studies will be used to demonstrate the risk management principles featured throughout the course. Students will work in teams to conduct risk assessments on the selected case study scenarios. They will develop mitigation plans and present the results of their analysis both in written reports and oral presentations.

The course provides students an opportunity to explore methods and applications in cyber analytics with advanced machine learning algorithms including deep learning. Students will learn how to use machine learning methods to solve cybersecurity problems such as network security, anomaly detection, malware analysis, etc. Students will also learn basic concepts and algorithms in machine learning such as clustering, neural networks, adversarial machine learning, etc.  Students taking this course should have the 4th year status and completed MATH-190 Discrete Math, MATH-251 Probability and Statistics I, and MATH-241 Linear Algebra.

This course investigates the many facets of network security and forensics.  Students will examine the areas of intrusion detection, evidence collection, network auditing, network security policy design and implementation as well as preparation for and defense against attacks. The issues and facilities available to both the intruder and data network administrator will be examined and evaluated with appropriate laboratory exercises to illustrate their effect.

This is a capstone course for students in the cybersecurity program. Students will review a series of short modules on topics such as teamwork, project management, report writing, and presentations, and will work in teams to apply their knowledge and skills to real-world projects in various areas of cybersecurity. Projects may require performing security analysis of systems, networks, software, policies, etc., devising and implementing security solutions in real-world applications. (4th-year status and departmental approval).

Students will study, build, defend and test the security of computer systems and networking infrastructure while potentially under attack.  Students will gain an understanding of standard business operations, timelines and the value of risk and project management. Techniques as related to security guidelines and goals will be studied.  Aspects of legal requirements, inheriting existing infrastructure, techniques for backup and recovery of data and systems will be examined

This course examines policies, methods and mechanisms for securing enterprise and personal data and ensuring data privacy.  Topics include data integrity and confidentiality; access control models; secure database architectures; secure transaction processing; information flow, aggregation, and inference controls; auditing; securing data in contemporary (relational, XML and other NO SQL) database systems; data privacy; and legal and ethical issues in data protection. Programming projects are required.