What You Need to Know Before
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Starts 8 June 2025 06:09
Ends 8 June 2025
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Overview
Explore key insights from a PhD dissertation overview, focusing on advanced research topics and methodologies in artificial intelligence.
Syllabus
- Introduction to PhD-level Research in AI
- Advanced Research Topics in AI
- Literature Review and Gap Analysis
- Methodologies in AI Research
- Data Collection and Analysis Techniques
- Ethical Considerations in AI Research
- Writing and Presenting a Dissertation Overview
- Peer Review and Feedback
- Planning Part 2 of Dissertation
- Q&A and Discussion Sessions
Overview of the dissertation process
Key milestones and deliverables
State-of-the-art techniques
Emerging trends in artificial intelligence research
Conducting a comprehensive literature review
Identifying research gaps in AI
Qualitative vs. quantitative approaches
Experimental design and simulation
Types of data in AI research
Tools and methods for data analysis
Ethical issues related to AI development
Bias and fairness in AI systems
Structuring the dissertation overview
Effective presentation skills for academic research
Understanding the peer review process
Incorporating feedback into research
Outlining future research directions
Preparing for deeper investigation in Part 2
Open forum for questions
Collaborative discussion on research challenges and approaches
Subjects
Personal Development
