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Sl. No.
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Subject Theme
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Name of Teacher
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Dates of Classes
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(I)
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Unit-1:Introduction to Artificial Intelligence
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Dr. Bholanath Pakhira
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09.04.25
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- Definition and scope of AI
- Historical overview and key milestones
- Differentiating AI from human intelligence
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(II)
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Unit-2:AI Subfields and Technologies
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- · Machine learning: Supervised, unsupervised, and reinforcement learning
- · Deep learning and neural networks
- · Natural language processing (NLP) and computer vision
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Smt. Debdatta Chakraborty (Roy)
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21.05.25,
28.05.25
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Dr. Samit Bhanja
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16.04.25, 23.04.25
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(III)
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Unit-3:: Applications of AI
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- AI in healthcare: Diagnosis, treatment, and medical imaging
- AI in finance: Fraud detection, algorithmic trading, and risk assessment
- AI in transportation: Autonomous vehicles and traffic optimization
- AI in customer service and chatbots
- AI in education: Personalized learning and intelligent tutoring systems
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Dr. Samit Bhanja
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30.04.25,
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Dr. SK Jahiruddin
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07.05.25 14.05.25
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(IV)
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Unit-4:Ethical and Social Implications of AI
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- Bias and fairness in AI systems
- Privacy and data protection concerns
- Impact of AI on employment and the workforce
- AI and social inequality
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Mr. Anish Darnal
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04.06.25, 11.06.25 18.06.25
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(V)
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Unit-5:Other Important Issues
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- Ethical guidelines and responsible AI practices
- AI and Innovation
- Emerging trends and future directions in AI
- AI and creativity: Generative models and artistic applications
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Dr. SK Jahiruddin
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25.06.25, 02.07.25 09.07.25
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Term Paper
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Dr. Bholanath Pakhira,Dr. SK Jahiruddin
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16.07.25
till end of semester
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