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Introduction

The advancement of Artificial Intelligence (AI) has revolutionized various industries, including the music composition field. AI technologies have enabled computers to generate music autonomously, leading to the creation of computer-generated music compositions. This thesis aims to investigate the role of AI in computer-generated music composition and its impact on the music industry.

1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter Two: Literature Review
2.1 Evolution of AI in Music Composition
2.2 AI Algorithms for Music Generation
2.3 Impact of AI on Music Industry
2.4 Challenges and Limitations of AI in Music Composition
2.5 Ethical Considerations in AI Music Composition
2.6 Case Studies of AI-Generated Music
2.7 Comparison of AI-Generated Music with Human Composed Music
2.8 Future Trends in AI Music Composition
2.9 Theoretical Framework for AI in Music Composition
2.10 Summary of Literature Review

Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Techniques
3.5 Ethical Considerations
3.6 Validity and Reliability
3.7 Limitations of Methodology
3.8 Research Instruments
3.9 Data Presentation
3.10 Timeline for Research

Chapter Four: Discussion of Findings
4.1 Analysis of AI-Generated Music
4.2 Comparison with Human Composed Music
4.3 Impact on Music Industry
4.4 User Perception of AI-Generated Music
4.5 Ethical Implications
4.6 Recommendations for Music Industry
4.7 Future Research Directions
4.8 Implications for Music Education
4.9 Limitations of the Study
4.10 Conclusion

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Contribution to Knowledge
5.3 Implications for Music Industry
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview on AI in Computer-Generated Music Composition

Artificial Intelligence (AI) has been making waves in the field of computer-generated music composition, offering new possibilities for music creation and exploration. This thesis delves into the role of AI in music composition, aiming to explore the impact of AI on the music industry and the creative process. The introduction sets the stage for the research, providing background information on the topic, highlighting the problem statement, discussing the objectives and limitations of the study, outlining the scope, and emphasizing the significance of the research. The literature review delves into the evolution of AI in music composition, explores various AI algorithms for music generation, discusses the impact of AI on the music industry, identifies challenges and limitations, explores ethical considerations, presents case studies, compares AI-generated music with human composed music, predicts future trends, and establishes a theoretical framework.

The research methodology chapter discusses the research design, data collection methods, sampling techniques, data analysis techniques, ethical considerations, validity, reliability, instruments, presentation, and timeline. The discussion of findings chapter analyzes AI-generated music, compares it with human-composed music, assesses its impact on the music industry, explores user perceptions, addresses ethical implications, provides recommendations, identifies future research directions, discusses implications for music education, and concludes the study. The conclusion and summary chapter summarizes the findings, highlights contributions to knowledge, discusses implications for the music industry, makes recommendations for future research, and concludes the thesis on AI in computer-generated music composition.

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