Benjamin Franklin Cummings Institute of Technology · Courses
CS
14 courses with the subject CS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
CS 105NETWORK COMMUNICATION AND SECURITY FUNDAMENTALS4
This course covers technical and managerial aspects related to data communication, computer, and telecommunication networks. Additionally, the course aims to provide a solid understanding of data communications and networking principles including networking and telecommunications technologies, hardware, and software. The course will also serve as an introduction to telecommunication network management, network security, cost-benefit analysis, and evaluation of connectivity options. 124 BENJAMIN FRANKLIN CUMMINGS INSTITUTE OF TECHNOLOGY
CS 110INTRODUCTION TO CYBERSECURITY AND RISK MANAGEMENT4
This course examines detailed aspects of cybersecurity, incident response and contingency planning consisting of incident response planning, disaster recovery planning, and business continuity planning. Developing and executing plans to deal with incidents in the organization is a critical function in information security. This course focuses on the planning processes for all three areas of contingency planning, incident response, disaster recovery and business continuity, as well as the execution of responses to human and non-human incidents in compliance with these policies.
CS 210FIREWALLS & INTRUSION DETECTION AND PREVENTION2
Students will create and implement firewalls and IDPS using opensource software. They will learn Cisco ACLs using packet simulators like PacketTracer, Linux IP Tables, Opensource firewall Pfsense, implementing Snort IDPS and creating customized rules, Suricata, BRO and connecting it to SecurityOnion using an NSM tool. This module will allow them to build the confidence to feel comfortable working with any Firewall or IDPS system in the market.
This course focuses on the use of the most popular forensics tools and provides specific guidance on dealing with civil and criminal matters relating to the law and technology. Students will learn how to identify, collect and preserve digital evidence and will have discussions on how to manage a digital forensics operation in today’s business environment. This course will provide theoretical as well as hands-on practical knowledge in order to perform digital investigations such as preservation, analysis and acquisition of digital information.
Students learn to create an inventory of assets using discovery tools and domain controller queries, and how to use basic vulnerability scanning capabilities of tools like NMAP. Students will create their own NMAP scripts and learn popular industry tools like Tenable Nessus Vulnerability Management, Rapid7 InsightVM, OpenVAS, among others. To culminate the class, students learn how to make an executive report and design remediation strategies.
This course teaches malware analysis fundamentals including reverse engineering tools to combat malware. Participants learn to break down potential malware threats and create solutions to combat them. Students will learn to identify potentially harmful events and the difference between an incident response policy and an incident response plan. Participants will learn the best practices to build an incident response plan: prepare, identify, containment, eradication, recovery, and lessons learned.
Students learn to implement a customized security monitoring service using opensource software from scratch. We start with implementing a Syslog server in Linux using Rsyslog and integrate it with the famous ELK Stack (Elasticsearch, Logstash, and Kibana) for quick insights of data. Students also learn popular tools Graylog, Splunk, and how to perform Threat Intelligence to enrich logs.
This course teaches how to analyze packets and perform network forensic investigations effectively, using open- source software. Participants also learn how to differentiate between normal vs. abnormal protocols & behaviors. We cover tools like tcpdump, Wireshark & Tshark, Snort, Bro, NetworkMinner, and others. Students learn to create simple scripts using Python Scapy, and use these skills for detecting network sniffing attacks. This module will provide students with the skills to work with raw data and have a better understanding of the underlying technologies used in their networks. 2026-2027 COURSE CATALOG 125
This course is an introduction to the technologies, terminology, and skills used in the world of data networking. The emphasis is on practical applications of networking and computer technology to real-world problems. Students will learn the theoretical and practical aspects of the principles and techniques used in the design of networks and the development of networked and distributed software. Thus, it summarizes the professional, ethical, and social responsibilities as they relate to technical professionals in the computer or information technology industry.
Students will learn the necessary skills to automate security tasks by using the Python programming language. For analysts and other security professionals, automation is a fundamental tool that helps them keep up with the volume of threats and individual activities to defend the enterprise. They will learn automated data analysis, policy validation, and customized scanning. Participants will also be trained on how to use Python to automate offensive activities as a penetration tester and better understand modern-day attacks.
This course is designed to offer students practical experience with the design and construction of secure computing systems. The course focuses on two main themes: (i) practical defenses for real-world attacks, and (ii) security as part of the software engineering process. Practical Security Automation and Testing helps students to build their security automation framework to scan for vulnerabilities without human intervention. Students will engage in a significant group programming project, including the use of software analysis tools.
