A computer engineering foundation
An education and technical background in computer engineering makes it possible to approach Java, algorithms, data structures, and systems thinking with a foundation that's solid, not just exam-focused.
A planned path to a target score on the AP Computer Science & Cybersecurity exams.
With 22 years of technical and professional experience, my goal is to help students not just learn the material, but build the code-reading, analytical thinking, and answer-writing skills the AP exam format expects.
The right answer isn't enough — the thinking behind it matters just as much.
In AP Computer Science courses, getting the right answer matters — but what matters more is being able to explain how the student got there. Small errors in reasoning, whether while reading Java code, writing an FRQ, or interpreting a security scenario, reveal a student's level very clearly.
Get Lesson InfoInformation security and risk management
Professional experience in cybersecurity, IT risk management, compliance, audit, business continuity, and technical security controls helps explain AP Cybersecurity scenarios with more concrete examples.
A teaching approach
Lessons aren't just about covering material — how the student answers is examined too. Reading code, analyzing mistakes, thinking through edge cases, and writing rubric-aligned answers all get particular attention.
Education and academic background
Technical foundation, academic study, and applied security experience come together.
This background means AP CSA, AP CSP, and AP Cybersecurity topics are treated not just as exam material, but as real technical thinking skills.
PhD studies
Doctoral studies in Computer and Information Systems Security / Information Assurance.
Master's degree
Master's degree in Data Processing and Data Processing Technology.
Computer engineering
Computer engineering education and technical foundation.
Systems engineering
An undergraduate background in systems engineering; a habit of looking at large systems holistically.
Professional experience
22 years of technical and professional experience across cybersecurity, payment systems, academia, and defense technologies.
This experience makes it possible to bring more realistic examples to lessons on cybersecurity, risk, networking, log analysis, and technical scenario interpretation.
Information security and compliance
Hands-on experience in information security policy, risk management, compliance standards, IT audit, data privacy, and security awareness.
Payment systems security
PCI DSS, PA-DSS, card production security, payment system regulations, and licensing/compliance projects.
Information Security Executive
Work with SIEM, Snort, IPS, vulnerability remediation, EDR, cloud workload protection, incident response, and business continuity.
Research and administration
Technical and administrative work in a university setting through research and management roles.
Systems and information security
Work in system administration, networking, intranets, security management, and modeling/simulation systems.
Technical tools
Hands-on work with TCP/IP, LAN/WAN, routers/switches, firewalls, VPNs, Windows Server, Nmap, Wireshark, Nessus, and Snort.
Projects and product development
Work across security, attack detection, intelligent systems, critical infrastructure, and mobile app development.
Academic and professional projects bring more concrete examples to AP Cybersecurity scenarios and software development processes.
Attack Detection and Countermeasure Simulation
Technical contributions to the EUREKA ITEA2 project on network security, attack detection, and countermeasure simulation.
Advanced Onboard Data Recording and Analysis
A research project on rail safety involving data recording, monitoring, alert generation, image/signal processing, and remote tracking.
Virtual Artificially Intelligent Professional
Technical management of virtual intelligent professionals capable of interacting naturally with users.
Disaster Recovery / BCP
Work on business continuity, disaster recovery sites, recovery strategy, and risk guidance.
iOS app development
Published mobile apps that show software development approached not just theoretically, but through product development, user experience, and the release process.
Open App Store developer pagePublications and academic contributions
Academic work on security, networks, DDoS defense, and payment systems security.
My academic publications cover SDN-based DDoS defense, GPS security, PCI DSS compliance in payment systems, and critical infrastructure security.
Podcast / Karma Türkiye
Audio channel sharing technical and professional experience.
JESS: Joint entropy-based DDoS defense scheme in SDN
IEEE Journal on Selected Areas in Communications, 2018
Security assessment of payment systems under PCI DSS incompatibilities
IFIP International Information Security Conference, 2014
GPS-SEC
Workshop on Positioning, Navigation and Communications, 2016
Coordinated Attacks on Cooperative Spectrum Sensing in Cognitive Radio Networks
IEEE WCNC, 2014 · Turkish version
Using Agent Based Modeling and Simulation for Data Mining
ICONIP, Springer LNCS, 2012
What I focus on in lessons
Progress follows the student's level, without losing sight of exam reality.
Every student's gaps are different. That's why a lesson isn't a fixed lecture list — it's shaped by the student's answers, goals, and the time left before the exam.
1
Start with the level
The focus isn't just which topic the student doesn't know, but where their reasoning goes wrong.
2
Keep the lesson active
Students don't just listen; they read code, eliminate options, write short explanations, and see their own mistakes.
3
Build exam language together
Especially for FRQ and written response, the answer needs to be correct, concise, and aligned with the rubric.
Who is this for?
For students preparing for AP exams or strengthening their computer science foundation.
Whether a student is starting from scratch or reviewing close to the exam, seeing their current level first is the healthiest way to move forward.
Students with gaps in the basics
For students struggling with Java, algorithmic thinking, or core computer science concepts, a step-by-step structure is built.
Students close to the exam
More weight is placed on practice tests, time management, error analysis, and getting used to AP question language.
Students aiming for a high score
Work focuses on more selective questions, edge-case discussions, FRQ quality, and fast but reliable problem-solving habits.