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Course Criteria
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3.00 Credits
In this course, students will use advanced features and design concepts to create a portfolio of a variety of business and personal publications. Document examples include conference signs, cover sheets, fax sheets, agendas, memos, letterheads, envelopes, business cards, calendars, address labels, personal stationery, and certificates. Throughout the course, students will apply problem-solving, critical-thinking, and creative-thinking abilities as well as the hands-on computer skills to real-world situations.
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4.00 Credits
Consortium Credit - Concordia St. Paul
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4.00 Credits
Consortium Credit - Concordia St. Paul
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3.00 Credits
This course introduces cybersecurity fundamentals, including core principles, critical security controls, and best practices. The focus of the course is on building a working knowledge of key cybersecurity concepts such as risk management, threats, vulnerabilities, incident response, asset security, governance, risk and compliance, identity and access management, and software development security.
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3.00 Credits
This course introduces the fundamental concepts in the field of Big Data. The focus of the course is on an overview of the field and related security topics to develop the skills needed to participate effectively in Big Data and other analytics projects as a practitioner. Course activities provide students with opportunities to search, navigate, tag, build alerts, and create simple reports and dashboards with Splunk. The course begins with an introduction to Big Data, which includes grounding in basic analytic methods and Big Data analytics technology and tools, and builds to an exploration of the data analytics lifecycle to address business challenges that leverage Big Data. Course materials include both "open-source technology" and 'commercial technology" tools. This course is for those new to the Big Data field and the security threat landscape. No prior programming experience or statistics background is required. Prerequisite(s): Course placement into college-level English and Reading OR completion of ENGL 0950 with a grade of C or higher OR completion of RDNG 0940 with a grade of C or higher and qualifying English Placement Exam OR completion of RDNG 0950 with a grade of C or higher and ENGL 0090 with a grade of C or higher OR completion of ESOL 0051 with a grade of C or higher and ESOL 0052 with a grade of C or higher.
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3.00 Credits
This course is for students who want to attain Operational Intelligence (business insights). It covers implementing analytics and Big Data projects using statistics, machine learning, and built-in and custom visualization capabilities. The course introduces students to the theory and methods of analytics and statistical modeling by exploring and operationalizing an analytics project using data visualization techniques. Course activities provide opportunities to apply the concepts learned in this class using various machine learning technologies to solve hands-on scenario-based examples and hands-on challenges throughout the course. Prerequisite(s): CFI 1071 with a grade of C or higher AND CFI 1205 or CSCI 1060 with a grade of C or higher OR instructor consent
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3.00 Credits
This course provides a fundamental and medium-level overview of the field of Identity Security and Access Management (IAM) and the related security components to design and implement a secured IAM architecture effectively. Hands-on lab activities include deploying IAM infrastructure in the cloud to demonstrate the use of Active Directory Federation Service (ADFS), Public Key Infrastructure (PKI), Identity as a Service (IDaaS), SaaS-based IAM offerings, and SSO using SAML. Prerequisite(s): CFI 1083 with a grade of C or higher or instructor consent
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3.00 Credits
This course provides an in-depth examination of the forensic evidence left on Windows-based file systems using a variety of methods and tools to investigate any event for the workplace. It covers Windows methods that ensure maximum evidence capture without poisoning key evidence residing in disk space and memory. Prerequisite(s): CFI 1065 with a grade of C or higher or instructor consent.
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3.00 Credits
This course introduces the best practices in hands-on troubleshooting, assessing an enterprise environment's security posture, and implementing appropriate security solutions. Course activities provide opportunities to explore how to monitor and secure hybrid environments, including cloud, mobile, and IoT. Course topics address applicable laws and policies, principles of governance, risk, and compliance, and how an analyst can identify, analyze, and respond to security events and incidents. Recommendation(s): CFI 1085 is recommended before taking this course for students in the CFI program
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3.00 Credits
This course explores the use of TCPDUMP and Wireshark protocol analyzer to perform network analyses for communications troubleshooting and forensics investigations. The material offers real-world examples and interactive Hands-On Projects that reinforce key concepts and important monitoring and management tools. These materials have been specifically designed to prepare individuals to take an active role in administering a network infrastructure that uses TCP/IP, either as its only protocol suite or in concert with other protocol suites. Course topics include the fundamentals and advanced topics in TCP/IP, live captures and offline analysis of hundreds of protocols, and troubleshooting, optimizing, and securing a network based on the evidence found in captured network traffic. Course activities include hands-on lab exercises using real-world scenarios that put theory into practice. This course also includes voluminous protocol trace files that demonstrate what TCP/IP-based network infrastructure looks like and how to recognize, analyze, and troubleshoot a broad range of TCP/IP-related networking problems or phenomena. Prerequisite(s): INET 1101 with a grade of C or higher or instructor consent.
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