Attendance
Because this course meets only once each week and includes demonstrations, guided investigations, and
technical discussion, attendance is important. Students are expected to attend every scheduled meeting,
arrive on time, and remain engaged for the full class period.
One documented/excused absence may be accommodated without an attendance-related penalty. Additional
absences will be reviewed individually in light of documented circumstances and applicable University
policies. Students remain responsible for all readings, demonstrations, announcements, assignments, and
deadlines missed because of absence and should contact the instructor as early as possible.
Class Participation
Participation includes preparation for class, contribution to technical discussions, engagement during
demonstrations, professional collaboration, appropriate questions, evidence-based reasoning, and
responsible use of the laboratory environment. It is not measured by speaking frequently; thoughtful
preparation and professional engagement are the standard.
Classroom Etiquette
- Arrive on time, prepared, and ready to participate.
- Complete assigned preparation before class so that scheduled time can focus on analysis,
application, and discussion rather than basic terminology.
- Laptops are expected for technical work but should be used for course-related activities during
lecture and discussion.
- Phones should be silenced and should not interfere with class activities.
- Respect classmates, guest speakers, and differing technical approaches. Critique evidence and
methodology rather than individuals.
- Do not photograph, record, copy, or distribute restricted evidence, malware samples, credentials, or
other sensitive course materials unless authorized.
Limited Use of Generative AI
You may use generative artificial intelligence (GAI) tools on a limited basis. Permitted uses include
generating ideas, summarizing complex concepts for study, developing practice questions or study aids,
critiquing your understanding, and receiving suggestions for improving work you have already written.
You may not submit GAI-generated material as your own, use GAI to develop answers for assignments or
exams, fabricate references, automate discussion participation, analyze assigned cases or simulations
for you, rewrite your work, or bypass the learning process.
Whenever you use GAI, you must identify the tool and explain how it was used. Failure to disclose its use
will be considered academic misconduct. You are responsible for evaluating the validity, accuracy, and
reliability of all GAI output and for any errors introduced through its use. Do not enter sensitive,
confidential, personally identifying
information, course evidence, malware samples, restricted case data, or University-owned course
materials into an external GAI tool unless specifically authorized. When in doubt, consult the
instructor before using GAI.
AI detectors or “AI checkers” will not be treated as proof of misconduct. Where authorship or learning is
in question, the instructor may review drafts, notes, version histories, source verification,
inconsistencies in a submission, technical artifacts, and/or ask the student to explain the work and
investigative process.
Academic Integrity
All St. John's University students are expected to abide by the Academic Honor Pledge. Cases of academic
misconduct will be addressed in accordance with University and College procedures and may result in loss
of credit for the work, loss of credit for the course, or additional disciplinary action.
Review the University's
Academic Honor Pledge.
Intellectual Property & Copyright
As a course professor, I may make recorded sessions or related contents available to students to meet
ADA, accreditation, or other needs. Under no circumstances should recordings, lectures, laboratory
guides, evidence sets, malware samples, or other course materials be sold and/or otherwise transferred
for someone else's use. Students are prohibited from distributing recordings or other course materials
without permission.
Materials in this course—unless otherwise indicated—are protected by United States copyright law [Title
17, U.S. Code]. Materials are presented in an educational context for personal use and study and should
not be shared, distributed, or sold in print or digitally outside the course without permission.
Students' ability to post or link to copyrighted material is also governed by United States copyright
law.
Health Notification Accommodation
In addition to contacting Student Health Services, students are responsible for sharing any health
issues with the professor, including the need to self-isolate or quarantine, when those issues affect
course participation.
Services for Students with Disabilities
Services for students with a documented disability are available through the Office of Disability
Services. All documentation is kept confidential and should be submitted directly to the Office of
Disability Services. Students requesting accommodation should identify their needs as early as possible.
A student with verified disabilities will be provided with an accommodation letter to present to the
professor.
Designated contact: Luis Manzo, Assistant Vice President for Student Wellness, 8000
Utopia Parkway, Queens, NY 11439 · [email protected] ·
718-990-6911.
Notice of Non-Discrimination & Equal Opportunity
St. John's University does not discriminate on the basis of race, color, national or ethnic origin, sex
(including sexual harassment and sexual violence), sexual orientation, gender identity, disability,
religion, age, status in the uniformed services of the United States (including veteran status), marital
status, status as a victim of domestic violence, citizenship status, genetic predisposition, or carrier
status in its programs and activities as required by applicable law and University policy.
Title IX Coordinator: Esther Hutchinson, Director of Equal Opportunity, Compliance and
Title IX Coordinator, 8000 Utopia Parkway, Queens, NY 11439 ·
[email protected] · 718-990-1448 ·
Title IX
information.
Class Cancellation & Weather
- The course will be taught in the modality officially assigned by the University. Modality changes
require appropriate University approval.
- Class periods will begin and end at the scheduled time.
- If an unplanned instructor absence is necessary, the department and students will be notified as
soon as possible and alternative arrangements will be provided where required.
- Planned absences require prior approval through the appropriate University process and an alternative
learning experience may be assigned.
- If the instructor is more than fifteen minutes late without notice, students may follow the
University policy described in the current course-outline template.
- If the University closes the campus for weather-related reasons, the course may move to remote
instruction when feasible; otherwise required instructional time will be made up in accordance with
University policy.
Professional & Ethical Use of Course Skills
Digital-forensic and malware-analysis techniques can expose sensitive information and can be misused if
applied without authorization. All work in this course must be performed on instructor-approved
evidence, systems, accounts, or environments. Students are expected to follow applicable law, University
policy, professional ethics, privacy requirements, and the scope of authorization provided for each
exercise.
Syllabus Change Statement
This syllabus represents the planned structure of the course. The instructor may make reasonable changes
to readings, tools, evidence sets, assignment sequencing, due dates, or topic emphasis to respond to
student progress, University requirements, software/tool changes, licensing, security considerations, or
developments in digital forensics and malware analysis. Material changes will be communicated through
Canvas.
