This course provides advanced study of modern web‑based systems development using a comprehensive full‑stack perspective. Students learn how contemporary web applications are designed, developed, secured, deployed, monitored, and maintained using industry‑standard technologies and practices.
The course follows a systems‑oriented approach, beginning with foundational web architectures and progressing through frontend development, data management, backend engineering, system design, DevOps, cloud deployment, performance optimization, testing, monitoring, and emerging technologies.
Students complete hands‑on laboratories, programming exercises, homework assignments, mini‑projects, case studies, module projects, examinations, and a comprehensive capstone project culminating in a production‑ready web application.
Required:
Recommended:
Students are expected to have proficiency in at least one programming language, understanding of HTML/CSS, familiarity with the command line, and introductory database knowledge.
Upon successful completion of this course, learners will be able to:
Grading Scale:
Each module corresponds to approximately one week, with extra time for the capstone and final assessment.
| Week | Module | Topics & Assessments |
|---|---|---|
| 1 | Module 1 – Foundations | Full‑stack intro, HTTP/DNS, architecture styles. Due: Quiz, Architecture Analysis |
| 2 | Module 2 – Frontend Development | React, client‑server, UI/UX. Assignment 1 starts (due Week 3) Due: Quiz, Enterprise React App (Module Project) |
| 3 | Module 3 – Data Management | Relational DB, NoSQL, ORM. Assignment 1 due Due: Quiz, Data Layer Project |
| 4 | Module 4 – Backend Development | Node.js/Express, Authentication. Assignment 2 starts (due Week 6) Due: Quiz, Backend API Project |
| 5 | Module 5 – System Design & Deployment | Design, Git, Docker, CI/CD, Cloud. Due: Quiz, Cloud‑Native Deployment Project |
| 6 | Module 6 – Advanced Topics | Performance, Real‑time, Monitoring, Testing. Assignment 2 due Due: Quiz, Production Optimization Project |
| 7–9 | Module 7 – Capstone Project | Architecture planning, implementation, emerging tech. Assignment 3 starts (Week 7, due Week 9) Capstone Project starts (Week 7, due Week 13) Due: Architecture Doc (Week 7), Full Implementation (Week 9), Testing & Performance Reports (Week 9) |
| 10–11 | Module 8 – Backend Specialization Tracks | Choose one: NestJS, Python, Spring Boot, Laravel, ASP.NET, Go, or
Comparative Analysis. Assignment 4 starts (Week 10, due Week 12) Due: Quiz, Specialization Project |
| 12–13 | Module 9 – Assessment & Completion | Comprehensive review, practice exams, final project submission,
portfolio submission. Assignment 4 due (Week 12) Capstone Project due (Week 13) Due: Review, Practice Exams, Final Project, Portfolio |
| 14 | Final Examination | Comprehensive Final Exam (scheduled) |
All work must be your own. Collaboration is encouraged for discussion and problem‑solving, but each student must submit their own work. Plagiarism and cheating will result in a grade of zero for the assignment and may result in further disciplinary action.
Late submissions will be accepted up to 48 hours after the deadline with a 10% penalty per day. Submissions more than 5 days late will not be accepted. Extensions may be granted for documented emergencies or illness.
This is an asynchronous online course. Active participation in discussion forums and timely completion of all assignments is expected. Your participation grade is based on the quality and frequency of your contributions to the course community.
We are committed to creating an inclusive learning environment. If you have a disability or any other circumstance that may affect your learning, please contact me and the university's Disability Services office as early as possible to arrange reasonable accommodations.
Respectful and professional communication is expected at all times. Be constructive in your feedback, support your peers, and adhere to the university's code of conduct in all course interactions.
We value your feedback. Please share any concerns or suggestions through the course discussion forum or via email. We aim to respond to all questions within 24 hours on weekdays.
AI tools are permitted for learning and assistance, but you must maintain an AI Interaction Log for all assignments and the capstone. You are fully accountable for all submitted work and must be able to explain it. AI is not permitted during the final exam. See the course homepage for full details.