• Introduction to artificial intelligence (AI): Concepts, development trends and impacts of AI in education and scientific research.

• History of development and outstanding AI products in education: From AI supporting teaching and research to AI tools in academic management.

• Application of AI in teaching and research: How AI supports lecturers in building lectures, summarizing documents, and helping researchers in analyzing data and creating research content.

• Operating principles of AI systems: Machine learning models and natural language processing (NLP) support in teaching and research.

• AI-powered lecture and teaching materials creation: How to use AI tools to build lecture content, design slides automatically, generate quizzes and assignments.

• AI for research writing: Tools to support research writing, summarizing research papers, finding sources and citations automatically.

• Teaching videos and audio production to support teaching: How AI helps in creating video lectures, producing podcasts, and transcribing text to audio.

• AI in research content creation: Using AI to write dissertations, research reports, and optimize the synthesis of previous research.

• AI-based learning outcome analysis and evaluation: How AI helps lecturers monitor and analyze student learning progress and evaluate teaching effectiveness.

• AI applications in research data analysis: Using AI to analyze and visualize scientific research data, supporting qualitative and quantitative research methods.

• Automated question and test generation: How AI creates multiple choice questions, tests, and automated outcome assessment systems, supporting lecturers and researchers in learning management.

• Research information and academic document management: AI tools help organize, search, and manage academic documents, helping researchers optimize the process of searching for document sources.

• Ethics in the use of AI in education and research: Ethical issues related to the use of AI, such as student data privacy, intellectual property rights in the use of AI-generated content.

• Intellectual property rights and privacy: Intellectual property regulations when using AI to generate research content, lectures, and academic papers.

• How to use AI ethically in education and research: Privacy policies and guidelines for the appropriate use of AI, avoiding abuse, and protecting the rights of individuals and the academic community.

• Practical application of AI in teaching and research: Practical exercises using AI tools to create lectures, write research papers, analyze data and manage documents.

• Feedback and Q&A: Discuss practical issues in applying AI in teaching and research.

• Course summary: Evaluate students’ ability to apply AI after the course, share experiences and receive advice from lecturers.