This course develops the fundamental concepts of algebra with an emphasis on the classification and analysis of linear, quadratic, polynomial, exponential and logarithmic functions. Applications to the natural and social sciences are given throughout. It aims to provide insights into the nature and utility of mathematics, and helps students develop mathematical reasoning skills.

Full course description for College Algebra

This course covers a variety of important topics in math and computer science. Topics include: logic and proof, sets and functions, induction and recursion, elementary number theory, counting and probability, and basic theory of directed graphs.

Full course description for Discrete Mathematics

An introduction to the formulation of problems and developing and implementing solutions for them using a computer. Students analyze user requirements, design algorithms to solve them and translate these designs to computer programs. The course also provides an overview of major areas within the computing field. Topics include algorithm design, performance metrics, programming languages and paradigms, programming structures, number representation, Boolean algebra, computer system organization, data communications and networks, operating systems, compilers and interpreters, cloud computing, data analytics, mobile computing, internet of things, and artificial intelligence) database, internet, security, privacy, ethics, and other societal and legal issues. Lab work and homework assignments involving flow charting tools and programming using a language such as Python form an integral part of the course.

Full course description for Computational Thinking with Programming

Structure, design, and implementation of object-oriented computer programs. Topics include objects, classes, GUI, and layout managers. Introduction to containment, inheritance, and polymorphism. Programming projects involving multiple classes. Emphasis on methods, parameter passing, and arrays of objects. Exploration of problem-solving and algorithm-design techniques using pseudocode, Unified Modeling Language (UML) class diagrams, and simple patterns. Design of good test cases and debugging techniques.

Full course description for Programming with Objects

This course covers the fundamental concepts of a single user operating system. The topics discussed in the course are the basic concepts of computer organization and architecture, memory management, process handling, disk and file management and control, and peripherals operation. Students also have the opportunities to learn the techniques and procedures of system installation, configuration, administration, and trouble shooting. The operating systems illustrated in the course are MS Windows and/or Mac OS X.

Full course description for Computer and Operating Systems Fundamentals I

This course covers the fundamental concepts of a multi-user operating system. The topics discussed in the course are conventional computer organization and architecture, memory management, process handling, disk and file management and control, and peripherals operation. Students also have the opportunities to learn the techniques and procedures of system installation, configuration, administration, and trouble shooting. The operating systems illustrated in the course are Linux and Unix.

Full course description for Computer and Operating Systems Fundamentals II

This course prepares students for effective employment in the IT workplace. Through readings, activities, case studies, and assignments, the student will develop competency with interpersonal skills, teamwork, professionalism, adaptability, flexibility, communication, planning, organizing, entrepreneurial thinking, problem solving and decision-making.

Full course description for IT Work Skills

This course covers the basic principles and methods of statistics. It emphasizes techniques and applications in real-world problem solving and decision making. Topics include frequency distributions, measures of location and variation, probability, sampling, design of experiments, sampling distributions, interval estimation, hypothesis testing, correlation and regression.

Full course description for Statistics I

Covers concepts and methods in the definition, creation and management of databases. Emphasis is placed on usage of appropriate methods and tools to design and implement databases to meet identified business needs. Topics include conceptual, logical and physical database design theories and techniques, such as use of Entity Relationship diagrams, query tools and SQL; responsibilities of data and database administrators; database integrity, security and privacy; and current and emerging trends. Use of database management systems such as MySQL. Coverage of HCI (Human Computer Interaction) topics. Development of GUI front ends to databases with application of HCI principles to provide a high level usability experience. Overlap: ICS 311T Database Management Systems.

Full course description for Database Management Systems

This course introduces principles of computer security with integrated hands-on labs. The course prepares students to effectively protect information assets by providing fundamental details about security threats, vulnerabilities, and their countermeasures ranging from a simple computer to enterprise computing. Topics include broad range of today's security challenges, common security threats and countermeasures, security management, access control mechanisms, applied cryptography, privacy issues, computer ethics, file system security, and network security.

Full course description for Computer Security

Networks are the backbone of information technology operations within an enterprise and are responsible for a significant portion of an organization¿s security posture. Cybersecurity professionals are often tasked with securing network operations and responding to network threats which demonstrates the importance to networking knowledge in the cybersecurity industry. As a cybersecurity practitioner, it is imperative that there is an understanding of network operations, protocols, and administration practices. This course focuses on developing skills and taking a deep dive into networking protocols including TCP, UDP, ICMP, and IP, network design and architecture, network administration automation, network analysis, and network protocol and design impacts on security and defense measures.

Full course description for Networking Protocols and Analysis

To properly secure any organization's information infrastructure and assets, a periodic assessment of its security posture at various levels of the organization is essential. One key area is the direct assessment of vulnerabilities in the IT infrastructure, systems and applications, followed by targeting and exploitation of the same. This course covers the theoretical bases for cyber threats and vulnerabilities, and delves into selection and application of penetration testing methodologies ranging from reconnaissance to the exploitation of vulnerabilities by probing infrastructure, services and applications. The course places a strong emphasis on the use of these methodologies to demonstrate, document, report on, and provide a clear roadmap for remediation of exposed security issues.

Full course description for Vulnerability Assessment and Penetration Testing

This course provides students with a thorough foundation of applied cryptography for cybersecurity practitioners. As encryption technologies continue to integrate into everyday culture, the importance of cryptography and encryption knowledge of cybersecurity practitioners continues to increase. Students will learn and be able to apply and analyze: the history of cryptography from the earliest ciphers to current encryption methodology, mathematical foundations for cryptography, symmetric and asymmetric algorithms, and applied cryptography pertaining to Virtual Private Networks (VPNs), SSL/TLS, strategies for defense utilizing encryption and cryptography, military applications, steganography, cryptanalysis, and more. Additionally, students will look to the future of cryptography and encryption including a look into quantum cryptography and encryption in cloud environments.

Full course description for Cryptography for Cybersecurity Practitioners

Students obtain internships in selected areas of study to gain deeper understand of knowledge, skills and the context of a given field. Site supervisors give guidance and direction to customized internship projects. Faculty members serve as liaisons between the internship sites and the university, providing information to students and potential supervisors and supervising the learning experience. Students interested in internships within the Information and Computer Science department should work with their advisor and/or faculty internship coordinator to discuss the process for your specific major.

Full course description for Information and Computer Sciences Individualized Internship

Information is an asset that must be protected. Without adequate protection or network security, many individuals, businesses, and governments are at risk of losing that asset. It is imperative that all networks be protected from threats and vulnerabilities so that a business can achieve its fullest potential. Security risks cannot be eliminated or prevented completely; however, effective risk management and assessment can significantly minimize the existing security risks. In order to provide effective protection to the organization's critical infrastructure and services, continuous monitoring as well as various processes, procedures, and technology is required to detect and prevent cyber-attacks, breaches, and security violations. In addition, existence of a comprehensive incident response plan is vitally connected to the survivability of an organization after a severe security breach or compromise of critical business operations. This course focuses on the operational aspect of…

Full course description for Cyber Operations

This course focuses on how to design and establish information services over the Internet from the server side. Topics include advanced concepts and issues on Internet architecture, server-side design strategies, current technologies and Internet security. Through labs and programming projects, students learn how to use current scripting and markup languages to build nontrivial state-of-the-art applications.

Full course description for Internet Application Development

Malware infections have reached epidemic proportions with over 600 million types of infection reported to date. Traditional antivirus techniques are not sufficient to stem the tide. This course will introduce students to the fundamentals of malware analysis techniques which will allow them to recognize, analyze and remediate infections. Basic static analysis techniques using antivirus scanning, hashing, string searching and other automated analysis tools will be reviewed. Dynamic approaches using system and network monitoring will be employed to detect snooping and attempts to exfiltrate data. Students will set up virtual workspaces, download tools and malware and analyze software in a secure environment. Reverse engineering will be introduced.

Full course description for Malware Analysis

In this course, students will learn the law relating to computer software, hardware, and the Internet. The areas of the law include intellectual property, cyberspace privacy, copyright, software licensing, hardware patent, and antitrust laws. Legislation and public policies on cyberspace technology, cryptographic method export controls, essential infrastructure protection and economic development are also discussed in class.

Full course description for Computer Laws

This course takes a hands-on approach to provide students with foundational concepts and practical skills in Mobile Device Forensics, which can be leveraged to perform forensically sound investigations against crimes involving the most complex mobile devices currently available in the market. Using modern tools and techniques, students will learn how to conduct a structured investigation process to determine the nature of the crime and to produce results that are useful in criminal proceedings. The course will provide walkthrough on various phases of the mobile forensics process for both Android and iOS based devices including forensically extracting, collecting, and analyzing, data and producing and disseminating reports. The course modules and labs will involve certain specialized hardware and software to perform data acquisition (including deleted data), and the analysis of extracted information.

Full course description for Mobile Device Security and Forensics

In this course, students continue not only to learn how to identify and collect digital evidence through forensics search tools, but also to study the emerging data mining techniques. The topics include how to design a plan for a computer crime investigation; how to select a computer software tool to perform the investigation; how to articulate the laws applying to the appropriation of computers for forensics analysis; how to verify the integrity of the evidence being obtained; how to prepare the evidence collected for the use in the court; and how to present the evidence as an expert eyewitness in court. Some hypothetical and real cases are also discussed in class.

Full course description for Digital Evidence Analysis

Special topics courses of current interest are offered occasionally. Students may repeat ICS 490 under different topics for additional credit. Some topics may have prerequisites. See the current Class Schedule for additional information.

Full course description for Special Topics in Information and Computer Sciences

This course is designed to present the elements of an integrated security compliance platform from a technical and legal perspective. Issues such as provide risk assessment, legal compliance, identity management, provisioning, access management, and monitoring and audit activities will be discussed.

Full course description for MIS Auditing and Security Controls