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--- projects [2022/05/04 14:53] – aan
+++ projects [2022/05/10 20:43] (current) – aan
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 **Recommended skills:** EECS 3221 is highly recommended. Experience with Docker containers is helpful but can be obtained during the project. Git experience is helpful.
-===== Privacy assessment of online service and platforms =====
+====== Privacy assessment of online services and platforms ======
+**Course:** EECS4480/4080
 **Supervisor:** Yan Shvartzshnaider
@@ Line 34: / Line 37: @@
 **Recommended skills:** Experience with Machine Learning, Natural Language Processing techniques, HCI design. Interest in usable privacy, critical analysis of privacy policies and privacy related regulation.
+====== Web Application Full-Stack Development ======
+**Course:** 4080/4088/4090
+**Supervisor:** Uyen T. Nguyen
+**Contact:** utn@eecs.yorku.ca
+The student will be responsible for developing a responsive web application. The primary focus will be the development of the user interface, web services, API, and database interactions while ensuring robust integration, system stability, and responsiveness among all application modules.
+**Responsibilities:**
+  * Development of a modern web application with a responsive user interface, and a back-end responsible for processing user input and interacting with database and various API services
+  * Optimization of the application for maximum speed and scalability
+  * Design and implementation of data storage solutions
+  * Collaborate with other team members
+**Required Skills and Qualifications:**
+  * Good knowledge of a back-end engineering with Python and Django
+  * Good understanding of front-end technologies including Javascript, HTML5 and React
+**Framework:**
+  * Good knowledge of RESTFul web API concept and architecture
+  * Good knowledge of database systems such as SQL and NoSQL
+  * Good knowledge of JSON or XML file formats and methods to consume/produce them
+  * Ability to create database schemas that represent and support business processes
+•	Understanding of code versioning tools such as Git
+•	Understanding of Job Queuing solutions such as RQ
+•	Understanding of Docker
+**Good to Have:**
+  * Understanding of designing scalable and efficient big data web applications solutions with multiple software components and background services
+  * Familiarity with Amazon Web Services (AWS)
+  * Understanding of secure coding practices and Agile software development lifecycle
+  * Recommended education level: 3rd year undergraduate or higher in Computer Science or equivalent program with industry experience
+**Notes:**
+  * Email Prof. Uyen T. Nguyen (utn@eecs.yorku.ca) a copy of your resume listing courses, projects and prior experience relevant to the project.
+  * A student completing this project successfully will be hired (paid) as a research assistant for at least two more terms to continue the next step of the project.
+====== Software System Engineering ======
+**Course:** 4080/4088/4090
+**Supervisor:** Uyen T. Nguyen
+**Contact:** utn@eecs.yorku.ca
+The student will assume the role of a System Engineer responsible for supporting the development team by designing and maintaining agreed-upon infrastructure, CI/CD pipelines, and code repositories.
+**Responsibilities:**
+  * Design implement, and test agreed-upon server infrastructures
+  * Ensure application components are up and running and properly inter-connected
+  * Development and maintenance of automated deployment and CI/CI pipelines
+  * Maintenance of application/server monitoring tools
+  * Design and maintain Docker containers to support various parts of the application
+  * Collaborate with other team members
+**Required Skills and Qualifications:**
+  * Good knowledge of GIT version control
+  * Good understanding of AWS services such as EC2
+  * Familiarity with Docker and Kubernetes
+  * Design and improve the CI/CD pipeline using GitLab CI
+  * Basic troubleshooting skills on Linux and Windows
+  * Troubleshoot development and production issues across multiple dev environments and operating platforms
+** Good to Have:**
+  * Strong familiarity with Amazon Web Services (AWS) services
+  * Familiarity with any CI/CD tools such as Jenkins, Ansible, Azure DevOps
+  * Familiarity with deploying cloud-based big data web applications with multiple software components and background services
+  * Recommended education level: 3rd year undergraduate or higher in Computer Science or equivalent program with industry experience
+**Notes:**
+  * Email Prof. Uyen T. Nguyen (utn@eecs.yorku.ca) a copy of your resume listing courses, projects and prior experience relevant to the project.
+  * A student completing this project successfully will be hired (paid) as a research assistant for at least two more terms to continue the next step of the project.
 /**