A comprehensive directory of academic coursework, projects, reference materials, and learning resources from a Master of Engineering program in Computer Engineering.
❖ Author · ⓘ Overview · ◎ Motivation · ☰ Curriculum · ★ Projects · ◈ Experiential Learning · ◬ Support · ☷ Usage Guidelines · © License · ⌬ About · ✦ Acknowledgments
This repository serves as a centralized index to all academic work completed during the Master of Engineering program in Computer Engineering at the University of Windsor. Each linked repository contains lecture notes, laboratory assignments, project implementations, reference materials, and supplementary resources for the respective course.
Purpose: To provide organized access to educational content spanning four semesters of graduate study, facilitating knowledge sharing and academic reference.
Target Audience: Students, educators, researchers, and professionals seeking reference materials in advanced computer science and engineering disciplines.
Education is not a destination but a continuous journey. This repository represents my commitment to that philosophy: a deliberate effort to preserve, organize, and revisit the advanced knowledge acquired during my graduate studies in Computer Engineering.
The creation of this archive stems from a fundamental belief: true learning transcends the classroom and extends far beyond graduation. As I navigate my professional career, I recognize that the advanced concepts, methodologies, and problem-solving frameworks developed during these formative years remain invaluable. However, knowledge, when not actively maintained, fades. This repository serves as my intellectual foundation: a structured collection I can return to for relearning, reference, and reflection.
Why this repository exists:
- Knowledge Preservation: To capture and maintain the depth of understanding developed across four semesters of rigorous graduate study.
- Continuous Learning: To create a resource that supports lifelong learning, enabling me to revisit advanced principles as I encounter complex challenges.
- Academic Integrity: To document my authentic academic journey - every concept studied, every project implemented, every problem solved.
- Open Contribution: To share these materials with the broader community, believing that knowledge grows when freely exchanged.
This is more than a collection of files or a digital archive. It is a testament to years of intellectual growth, a record of challenges overcome, and a foundation upon which future learning will be built. By making this work publicly available, I hope it serves not only my own continued education but also assists others on their learning journeys.
Note
All materials in this repository were created, compiled, and organized by me throughout my graduate program (2023-2024) as part of my coursework, laboratory assignments, and project implementations.
The curriculum is organized chronologically by semester, progressing from foundational graduate engineering principles to advanced computing specializations.
Tip
Each Course Code link navigates directly to a dedicated repository containing extensive lecture notes, assignment solutions, and reference materials for that specific subject.
Department of Electrical and Computer Engineering
| Code | Course Title | Repository | Project |
|---|---|---|---|
| GENG 8000 | Engineering Technical Communications | Course | UN SDG Sustainable Engineering Solutions |
| GENG 8010 | Engineering Mathematics | Course | — |
| Code | Course Title | Repository | Project |
|---|---|---|---|
| GENG 8020 | Engineering Project Management | Course | Strategic Project Management Case Studies |
| GENG 8030 | Computational Methods and Modeling | Course | Adaptive Cruise Control |
| Code | Course Title | Repository | Project |
|---|---|---|---|
| ELEC 8560 | Computer Networks | Course | — |
| ELEC 8900 | Machine Learning | Course | Zero-Shot Video Generation |
| VIP-CSL | VIP - Community Service Learning | Open | View Certificate |
| Code | Course Title | Repository | Project |
|---|---|---|---|
| ELEC 8330 | Computational Intelligence | Course | Computational Intelligence Algorithms |
| ELEC 8900 | Digital Communications | Course | Simulink Digital Communication Models |
A curated collection of engineering projects developed throughout the program, demonstrating practical application of theoretical concepts across various domains of computer science and engineering.
Watch All Projects: Engineering Projects YouTube Playlist
Important
Advancing Ideas @ AmeyArc_ serves as a dedicated research space for technical notes and scholarly reflections. It documents the theoretical foundations and evolving ideas that accompany these practical engineering projects.
- Zero-Shot Video Generation · Machine Learning & Computer Vision (Semester III)
- Adaptive Cruise Control · Computational Modeling & Control Systems (Semester II)
Note
All projects listed in this repository are verified implementations. Detailed visual demonstrations, technical reports, and environment configuration guides are available throughout the archive.
A systematic portfolio of advanced technical implementations and applied system models developed throughout the graduate curriculum.
Tip
Applied Theory: This section itemizes the specific technical implementations and system models developed throughout the program. Each entry represents a practical application of advanced theoretical concepts, ranging from algorithmic design in MATLAB/Simulink to strategic project management frameworks.
📡 Simulink Digital Communication Models · Digital Communications (Semester IV)
- Binary Pulse Amplitude Modulation (BPAM)
- M-ary Pulse Amplitude Modulation (MPAM)
- Phase Shift Keying (PSK)
- Quadrature Amplitude Modulation (QAM)
- Offset QPSK (OQPSK)
🧠 Computational Intelligence Algorithms · Computational Intelligence (Semester IV)
- Convolutional Neural Network (CNN)
- Self-Organizing Maps (SOM)
- Radial Basis Function Network (RBFN)
- Radial Basis Function Optimization (RBFO)
- Learning Vector Quantization (LVQ)
- Bidirectional Associative Memory (BAM)
- Generalized Hopfield Network (GHN)
- Fuzzy Logic & Reasoning (FLR)
- Fuzzy Reasoning System (FRS)
- Fuzzy Set Theory (FST)
- Fuzzy Set Operations (FSO)
- Genetic Algorithm Optimization (GAO)
- Genetic Algorithm Implementation (GAI)
- Genetic Algorithm Variant I (GAV-I)
- Genetic Algorithm Variant II (GAV-II)
- Binary to Decimal Conversion (B2D)
- Decimal to Binary Conversion (D2B)
📊 Strategic Project Management Case Studies · Engineering Project Management (Semester II)
- Comparative Evaluation of Project Management Software
- Strategic Implementation Analysis: Global Green Books Case Study
- E-KYC Platform Implementation & Agile Transformation
🌍 UN SDG Sustainable Engineering Solutions · Engineering Technical Communications (Semester I)
A dedicated initiative bridging academic theory with meaningful community engagement.
Important
Actionable Community Insights: This role translated raw participation data into a strategic Year-in-Review report for the Arts Council - Windsor & Region (ACWR), demonstrating the practical application of business analysis in a professional non-profit context.
- VIP - Community Service Learning · Data Analyst & Outreach Assistant (Semester III)
A systematic archive of university support services utilized throughout the graduate journey.
Tip
Proactive Engagement: Leveraging these university support services early is a significant catalyst for academic and professional success. Whether it's scholarly writing mentorship or strategic academic advising, these resources are essential pillars that support a high-standard graduate journey.
- International Student Centre · Support for international students
- Engineering International Student Advising · Academic guidance
- Writing Support · Academic writing assistance
This repository is openly shared to support learning and knowledge exchange across the academic community.
For Students
Use these repositories as reference materials for understanding concepts, reviewing implementations, and exploring project ideas. Each repository contains detailed documentation to facilitate self-paced learning.
For Educators
These resources may serve as curriculum references, assignment examples, or supplementary teaching materials. Attribution is appreciated when utilizing content.
For Researchers
The project implementations and documentation may provide insights into practical applications of computer science principles in educational contexts.
This repository and all linked academic content are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0). See the LICENSE file for complete terms.
Note
Summary: You are free to share and adapt this content for any purpose, even commercially, as long as you provide appropriate attribution to the original author.
Copyright © 2023 - 2024 Amey Thakur
Created & Maintained by: Amey Thakur
This repository represents a comprehensive academic archive of my intellectual journey throughout the Master of Engineering program in Computer Engineering (2023-2024). It acts as a centralized index for advanced graduate-level research, laboratory implementations, and complex systems architecture. This digital legacy serves as both a formal reference for the academic community and a testament to the rigorous engineering standards maintained across four semesters of graduate study.
Connect: GitHub · LinkedIn · ORCID
Institution: University of Windsor, Windsor, Ontario, Canada
Faculty: Faculty of Engineering
Department: Electrical and Computer Engineering
Program: Master of Engineering in Computer Engineering
Duration: 2023 - 2024
Grateful acknowledgment to the Faculty of Engineering at the University of Windsor for their pedagogical leadership. Their contributions to my learning experience are deeply appreciated.
Grateful acknowledgment to Jason Horn, Writing Support, University of Windsor, for his distinguished mentorship and scholarly guidance. His thoughtful feedback and methodological precision were instrumental in strengthening the analytical depth and professional quality of my academic work. His commitment to excellence and integrity is gratefully acknowledged.
Grateful acknowledgment to the VIP - Community Service Learning (VIP-CSL) program and the Arts Council - Windsor & Region (ACWR) for providing a transformative experiential learning opportunity. I extend my sincere appreciation to Dr. Rob Gordon, Jane Sylvester, and Maria Mediratta for their leadership and unwavering support in bridging academic theory with meaningful community service.
Grateful acknowledgment to Rob Janisse, Alumni Coordinator – Special Projects, for organizing several impactful events during my time at university. I had the opportunity to work closely with him on multiple occasions, and he was always patient, supportive, and incredibly helpful. His guidance and mentorship made a meaningful difference in my university experience, and I truly appreciate the time, effort, and encouragement he consistently offered.
Special thanks to the mentors and peers whose encouragement, discussions, and support contributed meaningfully to this learning experience.
❖ Author · ⓘ Overview · ◎ Motivation · ☰ Curriculum · ★ Projects · ◈ Experiential Learning · ◬ Support · ☷ Usage Guidelines · © License · ⌬ About · ✦ Acknowledgments
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