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מתחיל 5 July 2026 09:09

נגמר 5 July 2026

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AI in Social Science Research

Explore how generative AI tools can enhance academic research in social sciences, covering literature review, data analysis, ethical AI use, and research dissemination over six weeks.
Indian Institute of Management Bangalore via Swayam

Indian Institute of Management Bangalore

24 קורסים


IIM Bangalore is one of the leading management institutions in India, providing top-notch management programs for undergraduate and postgraduate students. It boasts world-class infrastructure and a robust network of alumni who have made substantial contributions to the field of management.

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בינוני

התקדמות בקצב שלך

Free Online Course

שדרוג אופציונלי זמין

סקירה כללית

This comprehensive Six-week online course offers graduate and postgraduate students an in-depth introduction to the practical application of generative artificial intelligence (AI) toolsspecifically tailored for academic research. Designed in collaboration with SWAYAM and IIMBX,the course equips learners with hands-on knowledge and skills to harness state-of-the-art AItechnologies, enhancing their ability to review literature, analyze data, write academically, anddisseminate research.Participants will explore emerging generative AI models and their applications across diverseresearch workflows, learning how to integrate these tools ethically and effectively in theirprojects.

The curriculum strikes a balance between foundational AI concepts and appliedtechniques, enabling students to automate routine tasks, generate insightful datavisualizations, and create compelling presentations and publications.

סילבוס

  • Week 1: Introduction to Generative AI in Social Science Research
  • Overview of generative AI technologies
    Introduction to AI applications in academic research
    Ethical considerations in AI-driven research
  • Week 2: Literature Review Automation
  • AI tools for literature review
    Conducting systematic reviews with AI
    Synthesizing research findings using AI
  • Week 3: Data Collection and Preprocessing
  • AI techniques for data collection and scraping
    Cleaning and preprocessing data with AI tools
    Data ethics and privacy concerns
  • Week 4: Analyzing Data with AI
  • Machine learning models for social science data
    Using AI for qualitative and quantitative analysis
    Visualizing data with AI-generated insights
  • Week 5: Academic Writing and Presentation
  • AI tools for drafting and editing academic papers
    Enhancing writing clarity and style using AI
    Designing AI-powered presentations
  • Week 6: Disseminating Research and Future Directions
  • Strategies for publishing with AI support
    Publicizing research through AI-driven platforms
    Future trends in AI for social science research

נלמד על ידי

Dr. Anurag Jain, Itam Urmila Jagadeeswari, Vishal Soodan


נושאים

Artificial Intelligence