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B.Tech Study Materials, Lecture Notes & Previous Year Question Papers (PYQ)

Access curated semester notes, university syllabus, Python (PY) programming guides, PPT decks, and previous year model questions (PYQs). Organized branch-wise and subject-wise for JNTUH, JNTUK, OU and Autonomous college exam preparation.

361+ Study Materials38 B.Tech Subjects311 PDFs & 41 PPT Decks

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B.Tech Engineering Materials

Showing 1–9 of 38 subjects • Page 1 of 5 • 361 total files

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Core Computer Science & IT

AI

5 Materials • 39.36 MB

1 PDFs
Electronics & Hardware

Analog and Digital Electronics

14 Materials • 254.17 MB

14 PDFs
Textbooks & Reference

B.Tech Syllabus & Regulations

4 Materials • 4.74 MB

4 PDFs
Management & Humanities

Business Economics and Financial Analysis

10 Materials • 78.24 MB

7 PDFs
Core Computer Science & IT

C Programming

1 Material • 30.65 MB

Core Computer Science & IT

Compiler Design

17 Materials • 129.32 MB

12 PDFs
Core Computer Science & IT

Computer Graphics

16 Materials • 92.68 MB

16 PDFs
Core Computer Science & IT

Computer Networks

14 Materials • 141.67 MB

6 PDFs

Showing 1 to 9 of 38 subjects

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University Academic Resource Portal 2026

B.Tech Previous Year Question Papers (PYQ), Python Notes & University Exam Blueprint

Preparing for B.Tech semester exams requires focused study on repeated question formats, university blueprints, and unit-wise weightage. Mana College Guide offers curated, verified lecture notes, PPT decks, and Previous Year Question Papers (PYQs) for Computer Science (CSE), Artificial Intelligence & Machine Learning (AIML), Data Science (DS), Electronics & Communication (ECE), Electrical (EEE), Mechanical, and Civil engineering branches across JNTUH, JNTUK, JNTUA, Osmania University (OU), and top UGC Autonomous institutions.

PYQ

Previous Year Question Papers (PYQs)

Analyze repeated semester exam questions, 2-mark definitions, and 10-mark descriptive problems from past 5–10 years of JNTU & autonomous semester exams.

PY

Python (PY) Notes & Lab Solutions

Step-by-step Python programming lecture notes, object-oriented programming concepts, data science scripts, and semester lab manual code solutions.

360+

Unit-Wise Lecture Notes & PPTs

38 core B.Tech engineering subjects covered with high-yield revision summaries, professor PPT slides, and formula sheets optimized for mobile reading.

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