General

Instructor Ben Weintraub (pronounced WINE-trowb)
Room Mendoza 331D
Time (Section 1) MW 9:30-10:45am
Time (Section 2) MW 11:00-12:15pm
Office Hours MW 4:00-5:00pm, 240 Flanner Hall
Grades and Assignments Canvas

Table of Contents

Course Description (from Registrar)

Cybersecurity is at the heart of protecting modern organizations, ensuring the confidentiality, integrity, and availability of critical information and systems. In this course, students will build an understanding of the principles, processes, and practices that underlie effective security programs. We will examine the roles of risk management, access control, network and system defense, incident response, and continuity planning, while also considering the human, organizational, and strategic dimensions of security. Through a combination of analytical frameworks, applied exercises, and discussions, students will develop the knowledge and skills needed to assess vulnerabilities, design security controls, and support resilient operations in diverse environments.

Materials

Honor Code

This class is conducted in accordance with the University’s Academic Code of Honor. I have a zero-tolerance policy for violations of this policy. To quote from du Lac, “At a minimum, a student found responsible for an Honor Code violation usually fails the assignment in question. A more serious offense may result in failure of an entire course, or suspension or dismissal from the university.”

My expectation for this course is that you will collaborate with other students during our in-class hands-on exercises. I expect that you will complete your lab reports, exams, quizzes, and other assignments on your own. You may discuss general strategies for solving problems with other students, but the assignment you turn in should be entirely your own work.

Exams and quizzes are to be taken in a closed-book manner, with no access to external resources or collaboration of any kind.

Participation

We run a student-centered class which consists largely of writing, discussion, and in-class activities of one kind or another. We expect everyone to participate in these activities, including our class discussions. These different forms of engagement reflect our conviction that everyone’s unique perspectives and ideas are valuable, and might bring to the conversation something nobody else has considered (including your instructors). If classroom participation represents a problem for you for some reason, reach out to us in person or online and we’ll find a way to get you involved.

Grading

Grades for the course will be determined using the following weightings:

Final Exam 40%
Labs 25%
Quizzes 15%
Case Studies 10%
Participation 10%

The final exam will take place in class on October 12th.

I generally use the following grade scale: [0-59.9] F, [60-69.9] D, [70-72.9] C-, [73-76.9] C, [77-79.9] C+, [80-82.9] B-, [83-86.9] B, [87-89.9] B+, [90-92.9] A-, [93+] A.

However, it is important to note that the IT, Analytics and Operations department follows a grading policy for undergraduate courses that the overall GPA for a course must fall into the range of 3.0-3.6. After computing final grades according to my standard formula, I will compute the overall GPA for the class. If the overall GPA falls outside the required range, I will adjust the grading scale accordingly.

The last day to drop is prior to the 9th class meeting.

Assignments

Be careful to follow the specific instructions for the content, formatting, and submission of each assignment.

You are expected to turn assignments in on time. All assignments are due by 9AM on the indicated date. Assignments turned in after the deadline but on the same day that they were due will be assessed a 25% penalty. Assignments turned in within one week of the due date/time will be assessed a 50% penalty. No assignments will be accepted more than one week after the deadline. Late submissions are not accepted after the last day of class, regardless of the original due date. Exceptions may be made for extenuating circumstances. If you think this pertains to you, email me directly.

Quizzes

Some class sessions (noted on the syllabus) will begin with a short quiz on content covered in the asynchronous material. This quiz will be given in Canvas and will assess high-level understanding of the material.

Attendance

The community we form as a class—which we view as one of the most valuable aspects of your Notre Dame education—depends upon all of us being present here with one another as regularly as possible. Participating in our discussions, completing in-class writing assignments, or engaging in small group activities are the best (and easiest) way for you to be successful in the course. We encourage you to make every effort to attend each class; let your instructors know when you have to miss for some reason.

AI Policy

Generative AI tools (e.g., ChatGPT, Gemini, Copilot) may not be used for any part of this course. Using AI to generate ideas, outlines, code, or prose is considered unauthorized assistance under the ND Honor Code. This includes grammar aides like Grammerly. Ask if you are unsure—clarity is part of learning.

Acknowledgements

Thank you to Mike Chapple from whom much of this content is derived.


Ben Weintraub © 2026
Site Last Updated August 24, 2026 at 17:36:38 UTC