This course presents the fundamentals of LAN Design including VLAN routing, network scaling, and high availability protocols. Coursework explores the interoperability of open source and proprietary switching and routing protocols.
This course presents fundamentals of network design, security, and management best practices. QoS, Cloud Computing, IoT networking, and software-defined networking (SDN) are introduced.
Students study transmission media as one of the many sources of systems security vulnerability. The various types of media commonly used to connect computing and digital devices to networks are discussed and the significance in their consideration when planning for a secure system. All major media are discussed including copper, coax cable, fiber optic cable, wireless and microwave media. Physical and virtual systems are analyzed, implemented, and secured.
This course introduces data center operations, network virtualization configuration, addressing schemes, troubleshooting and configuration skills. A foundational exploration of data center concepts, including unified, or fabric, computing, is also included.
This course explores the fundamentals of information security attacks and defense mechanisms. Security issues related to people, data, networks, and devices are surveyed to provide insight into designing security solutions and policies. Technologies and practices that support the security principles of confidentiality, integrity, and availability are also discussed.
This course develops fundamental infrastructure security implementation skills. Topics include identification of security vulnerabilities, wireless vulnerabilities, risk assessments, intrusion detection and prevention, business continuity and disaster recovery, firewall architecture, and an introduction to cryptography.
This course explores critical concepts in cybersecurity, information security and data privacy. Students examine professional responsibilities, privacy laws, enforcement actions and global regulations such as GDPR, alongside consumer rights and protections. The course also examines evolving security considerations driven by emerging technologies, including quantum computing, artificial intelligence, Web3 and blockchain.
This course introduces use of artificial intelligence (AI) in cybersecurity to reinforce cyber threat intelligence to strengthen an organization’s defenses. Also explored is use of AI to support email monitoring, fraud prevention, malware detection, algorithm review and network scanning. Strategies for implementing, evaluating and assessing AI-driven cyber support tools are presented.
This course explores the power of artificial intelligence and machine learning using no-code platforms. Coursework addresses key foundations of data science and guides students in designing and building basic models and workflows to solve real-world problems in fields such as finance, healthcare and marketing. Learners apply these concepts using tools like AWS SageMaker, DataRobot, n8n and Google AutoML.
This course provides an overview of database concepts, with emphasis on relational databases. Learners engage in data modeling and database management through hands-on activities using structured query language (SQL). The course also introduces SQL AI, which integrates artificial intelligence with SQL to enhance query generation, automate tasks and support advanced data analysis.
This course focuses on factoring polynomials; solving quadratic equations; systems of linear equations; radical expressions; and functions where linear and quadratic functions are emphasized using application problems and modeling.
This course provides an introduction to discrete mathematics as applied to the information technology field. Areas of application include computer logic, analysis of algorithms, telecommunications, probability and cryptography. Mathematical reasoning is emphasized throughout. Computer software is used in problem modeling and solutions.
This course introduces physics by exploring how common things and situations work. Case studies, used to present course material and related active learning exercises, illustrate essential physics concepts. Coursework also examines physics theories, laws, models and hypotheses.
This course explores essential principles of statistical analysis, as well as effective application of various statistical techniques. Coursework addresses methods for collecting, preparing, analyzing and interpreting data; story-telling and communicating insights; and reporting on data that drives priorities and business decision-making.
Students in this course explore strategies for securing employment and/or advancement in a technology-focused field. With guidance from their professor, students complete various activities including industry certification preparation; self-assessment and goal-setting to execute a job search and/or career advancement; industry-focused career placement assessments; and portfolio building. Course deliverables include a published résumé, established social media/digital presence and a completed mock interview with feedback. Note:
With permission from an appropriate academic administrator, students may participate in a work-based learning opportunity such as an internship, apprenticeship, practicum or industry-sponsored project.
New Jersey: For students enrolled at a New Jersey location, credit hours awarded for TECH305 result in institutional credit only.
This course presents project management concepts and focuses on skills required to manage projects common in technical career positions. Essential project management concepts and methodologies are explored within a technical management framework.
This course engages learners in a technology-focused project that integrates technical, professional and collaborative skills to produce a meaningful work product. The course culminates in a professional report and presentation demonstrating critical thinking, effective collaboration and career readiness.
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