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.
This course provides an overview of the cloud environment and services. Coursework examines operating systems; container technologies; development platforms powering the cloud; software-defined networking; and data center infrastructures. Also addressed are Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS).
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 penetration testing skills needed to assess vulnerabilities of in-house, cloud-centric and hybrid environments. Coursework is designed to develop students’ ability to scan and analyze the state of organization, and to plan, scope and manage weaknesses.
Students in this course explore techniques for cyber incident investigation, digital evidence gathering and cybersecurity threat response. Coursework presents strategies for cybercrime investigation and for forensic analysis and incident response. The course prepares students for managing security incidents, as well as for defending and responding to attacks.
This course applies information security expertise to a cloud computing environment and demonstrates competence in cloud security architecture, design, operations, and service orchestration. It develops the knowledge, skills, and abilities in cloud security design, implementation, architecture, operations, controls, and compliance with regulatory frameworks.
This course addresses security architecture and engineering skills needed to secure in-house, cloud-centric and hybrid IT environments. Topics include assessing organizations’ cybersecurity readiness, and technical-team leadership needed to implement enterprise-wide cybersecurity solutions. Students apply best practices in governance, risk management and compliance to design and implement solutions within adopted policies and frameworks and ensure organizations’ readiness for cyberattacks.
This course presents essential skills required within a security operations center (SOC) to successfully protect organizational assets from cyber-attacks and addresses how attackers are identified. Coursework is designed to help students learn about the different types of SOCs and their respective goals, roles, benefits and challenges.
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 develops writing skills through analysis of essays, articles and other written works that are used as models for writing practice and development. Writing assignments stress process approaches, development, organization, revision and audience awareness. Students use word processing and web-based tools to develop written work. Students who receive credit for this course may not also receive credit for ENGL108.
This course builds on the conventions and techniques of composition through critical reading requirements and longer, more sophisticated reports, including a documented library research paper. Assignments require revising and editing for an intended audience. Students are also taught search strategies for accessing a variety of print and electronic resources.
This course builds on basic composition principles and focuses on common technical and workplace documents including descriptions; instructions; procedures; reports; proposals; analyses; and other types of applied writing, such as memos and letters. Students apply a writing process strategy and guidelines for audience analysis, effective technical style, organizational strategies and visual aids.
This course teaches basic elements of effective public speaking. Topics include audience analysis, organization, language, delivery and nonverbal communication. Practical application is provided through a series of individual and group presentations in a variety of rhetorical modes.
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.
No thanks
