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Hocking College | Cybersecurity & Networking Portfolio

Coursework, reference notes, small programs, and lab documentation collected by Lewis Joseph Feik while studying cybersecurity and networking at Hocking College.

The collection shows the foundations behind my software projects: understanding networks, working with Linux, interpreting security evidence, and explaining technical decisions. Materials are organized by subject and course week so visitors can follow a topic from notes to supporting artifacts.

Start here

Resource What to explore
Data to Decision Playbook Selecting evidence, setting search scope, corroborating findings, and documenting analyst decisions with transparent AI verification.
Linux command reference A practical command reference for working in a Linux environment.
Linux scripting notes Shell scripting concepts and short examples for learning automation.
Python exercises Small Python programs covering introductory language concepts.
Network analysis Wireshark setup, protocol identification, traffic filtering, baselines, and anomaly-analysis coursework.

Browse by subject

Area Repository folder Contents
Networking foundations Cisco I Network components, Ethernet, cabling, switching, Packet Tracer, and Wireshark lab artifacts.
Routing and switching Cisco II Routing/switching course material and an introductory AWS lab note.
Hardware and operating systems Computer Hardware & OP System Components, RAM, storage, RAID, bench safety, and troubleshooting notes.
Linux Linux Commands, scripting examples, and resource links.
Security awareness Security-Awareness Breach case studies, personal security, malware, social engineering, and device-security coursework.
Security study notes Security-Plus-Certification Study material on access management, cryptography, incident response, malware, and network security.
Analyst documentation Cybersecurity-Playbook A focused guide to evidence handling and defensible security decisions.
Programming practice Treasure Hunt and netacad-labs A JavaScript project and introductory Python exercises.

How to review the work

  1. Open a subject folder, then choose a week or topic.
  2. Read the Markdown notes in GitHub; open the linked PDFs or images for supporting artifacts.
  3. Treat lab observations as records of the environment and date described in the individual artifact.

To browse locally:

git clone https://github.com/FeikL2002/HockingCollege.git
cd HockingCollege

Python examples require Python 3. Review each file before running it; requirements and expected input vary by exercise. Networking labs may depend on the course's simulator or lab environment.

About this collection

This is a learning portfolio. Some folders contain working notes, historical assignments, or placeholders, and individual materials may reflect older software versions. Read each document or screenshot alongside its stated task, environment, and date.

The repository includes course-related material. No repository-wide license is currently included; consult the ownership and usage terms of individual materials before reusing them.

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Coursework, Linux references, networking labs, and cybersecurity learning artifacts.

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