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Main
UQU Programs
Science in Artificial Intelligence

Graduation Project 1

AI3501
3 hours English

Graduation Project 1

Graduation Project I
SE1201 Foundations of Software Engineering
3 hours One requisite
AI3101 Principles and Techniques of AI
3 hours One requisite
1 Introduction to Graduation Project: Overview of course objectives, expectations, assessment methods and importance of the graduation project in the AI curriculum
2 Project Proposal Development: Identifying real-world problems and opportunities in AI and formulating project objectives and scope
3 Research Methods in AI: Understanding research methodologies, conducting literature reviews and identifying relevant sources
4 Project Planning and Management: Basics of project management principles, creating project timelines and milestones
5 Collaboration and Teamwork Skills: Effective communication strategies within teams. Conflict resolution and leadership in group projects
6 Midterm Project Presentations: Students present their project proposals and initial findings to obtain peer feedback and discussions on project ideas
7 Ethical Considerations in AI: Exploring the ethical, legal, and societal implications of AI technologies. Case studies on ethical dilemmas in AI projects
8 Documentation and Reporting: Best practices for documenting project work and findings. Writing technical reports and academic papers
9 Final Project Refinement: Incorporating feedback from peers and mentors into final projects. Preparing for final presentations
10 Final Project Presentations: Students present their completed projects to peers and faculty. Q&A sessions and feedback
11 Course Wrap-Up and Reflection: Reflecting on the learning experience and skills gained throughout the course. Discussing future directions in AI research and career opportunities
2.1 Mapped to: S1

Apply core principles and methodologies of artificial intelligence to design and implement an effective solution for a specific real-world problem.

Teaching Strategy Weekly meetings and interactive discussions for ongoing project assessment and feedback.
Assessment Methods Progress Reports, Presentations, Final Report, Presentation.
2.2 Mapped to: S5

Conduct independent research to formulate project objectives, analyze existing technologies, and integrate relevant findings into their project development, demonstrating their ability to utilize research principles and methods.

Teaching Strategy Weekly meetings and interactive discussions for ongoing project assessment and feedback.
Assessment Methods Progress Reports, Presentations, Final Report, Presentation.
2.3 Mapped to: S4

Evaluate the ethical, legal, and societal implications of their AI projects, ensuring that their solutions are developed responsibly and align with professional standards in the field of artificial intelligence.

Teaching Strategy Weekly meetings and interactive discussions for ongoing project assessment and feedback.
Assessment Methods Progress Reports, Presentations, Final Report, Presentation.
3.1 Mapped to: V1

Evaluate the ethical, legal, and societal implications of their AI projects, ensuring that their work aligns with professional standards and contributes positively to society.

Teaching Strategy Group project
Assessment Methods Survey
3.2 Mapped to: V2

Collaborate effectively within diverse teams, demonstrating leadership and teamwork skills while respecting differing viewpoints and fostering an inclusive environment throughout the project development process.

Teaching Strategy Group project
Assessment Methods Survey
Assessment
Weight
Meeting and Progress Reporting
20%
Final Project Report
45%
Final Presentation
35%
Total
100%