MCS-224 IGNOU Guess Paper 2026-27

Course Scope and Syllabus Overview for MCS-224: Artificial Intelligence and Machine Learning

MCS-224: Artificial Intelligence and Machine Learning is a core course under the IGNOU Master of Arts (Economics) programme, designed to equip students with foundational knowledge of AI and ML principles within the broader framework of Social Sciences and Public Policy. This course bridges theoretical constructs with practical applications, emphasizing how AI-driven methodologies can inform policy analysis, data-driven governance, and socio-economic decision-making. By exploring AI’s role in automating complex processes and ML’s ability to derive insights from large datasets, students gain critical tools to evaluate technological impacts on governance structures and public welfare systems. The syllabus aligns with IGNOU’s CBCS curriculum, ensuring a structured progression from introductory concepts to advanced techniques, all while grounding discussions in real-world policy challenges.

Key Syllabus Units and Topics

• Block-1: Artificial Intelligence Introduction: Covers the foundational theories of AI, its historical evolution, and ethical considerations in algorithmic decision-making, particularly in public policy contexts.
• Block-2: Artificial Intelligence Knowledge Representation: Examines methods for encoding knowledge in AI systems, including logic-based and probabilistic representations, with applications in policy modeling and risk assessment.
• Block-3: Machine Learning I: Introduces supervised and unsupervised learning algorithms, focusing on regression, classification, and clustering techniques to analyze socio-economic datasets for evidence-based policymaking.
• Block-4: Machine Learning II: Explores deep learning architectures and neural networks, emphasizing their role in predictive analytics for public sector challenges like poverty mapping and resource allocation.

Frequently Asked Questions

Q: What is the marking scheme for the MCS-224 Term-End Examination (TEE), and how are internal and external assessments weighted?
A: The TEE for MCS-224 carries 100 marks, with internal assignments contributing an additional 20 marks to the final grade, as per IGNOU’s evaluation policy.

Q: Are there specific question patterns in MCS-224 exams that repeat frequently across June and December cycles?
A: Yes, past papers reveal recurring emphasis on knowledge representation techniques (Block-2), ML algorithm applications (Block-3), and ethical implications of AI in governance (Block-1), which are high-probability topics for repeated questions.