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Product Details
Publication: Physics Wallah
Publication Year: 2026
Language: English
ISBN:9789378189241
- Manufacturer: Physics Wallah LimitedGata No 188 & 198 Bypass Sikandrabad,Bulandshahar Uttar Pradesh 203205GSTIN 09AALCP1681Q1ZK
- Packer: Physics wallah Limited Gata No 188 & 198 Bypass Sikandrabad, Bulandshahar Uttar Pradesh 203205 GSTIN 09AALCP1681Q1ZK
- Country of Origin: India
- Generic Name: PW UGC NET Computer Science PYQ 12 Years (2014-December 2025)| Chapterwise & Yearwise Previous Year Solved Papers For Phd Entrance, SET, GATE & Teaching Requirements Exams
Book Description
UGC NET Computer Science PYQ - Simplify your UGC-NET study with Previous Year Question Papers (PYQs), Trend Analysis, and Exam-Oriented Preparation Strategy!
'PW UGC-NET Computer Science PYQ 12 Years (2014-2025)’ is a highly structured, exam-focused UGC NET preparation book designed to help aspirants master the UGC-NET Computer Science syllabus with confidence. It includes detailed solutions, latest December 2025 session paper, chapterwise and yearwise solved PYQs, and trend analysis of previous year questions, making it ideal for smart revision and concept clarity. This book is also highly useful for PhD Entrance Exam, SET, GATE Computer Science, and Assistant Professor eligibility exams.
How will this book help you?
- Detailed UGC-NET Syllabus Coverage: The book provides a complete chapterwise syllabus mapping of UGC NET Computer Science, ensuring full coverage of all important topics as per the latest UGC NET exam pattern.
- Latest 2025 Exam Paper Included: Includes recent UGC-NET December 2025 question paper with solutions, helping candidates understand the latest exam pattern, difficulty level, and question trend.
- Trend Analysis of Previous Year Questions (PYQs): A data-driven PYQ trend analysis (2014–2025) helps identify high-weightage topics, repeated concepts, and important exam patterns for better preparation strategy.
- Detailed Concept-Based Solutions: Every question includes step-by-step, explanation-based solutions to strengthen concept clarity, logical thinking, and answer accuracy.
- Chapterwise & Yearwise PYQ Segregation: Structured organization of UGC NET Computer Science previous year questions chapterwise and yearwise for focused study, revision, and exam practice.
- Multi-Exam Utility Resource: Also highly useful for UGC NET, PhD Entrance, SET, GATE Computer Science, and Teaching Eligibility Exams, making it a complete competitive exam preparation guide.