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Computer Based Numerical TechniquesBOE065

4 PYQs

Computer Based Numerical Techniques (BOE065) is a Semester 6 subject for OPEN ELECTIVE students at Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow. Free study material including, previous year question papers (2022 to 2025) — all free, no login required.

Error and roots of Algebraic and Transcendental Equations: Introduction of Numbers and their accuracy, Computer Arithmetic, Mathematical preliminaries, Errors and their Computation, General error formula, Error in a series approximation. Solution of Algebraic and Transcendental Equation: Bisection Method, Iteration method, Method of false position, Newton-Raphson method, Methods of finding real and complex roots, Muller's method, Rate of convergence of Iterative methods, Polynomial Equations.

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About Computer Based Numerical Techniques (BOE065) — AKTU Semester 6

Computer Based Numerical Techniques (subject code: BOE065) is an important Semester 6 subject taught at Dr. APJ Abdul Kalam Technical University (AKTU), formerly known as UPTU (Uttar Pradesh Technical University), Lucknow. It is part of the OPEN ELECTIVE curriculum and covers fundamental concepts that are essential for both university examinations and competitive career placements. The subject carries significant weightage in the AKTU semester examination and is known for its consistent question patterns over the years (2025, 2024, 2023, 2022).

How to Prepare for BOE065 Computer Based Numerical Techniques AKTU Exam

To score well in Computer Based Numerical Techniques (BOE065) at AKTU, follow this proven strategy:

Go through the syllabus first — understand all units and their weightage in the AKTU BOE065 exam.
Solve previous year papers — Practice 4 PYQs from 2025, 2024, 2023, 2022 available free on this page to understand the question pattern.
Focus on repeated questions — certain questions in Computer Based Numerical Techniques repeat across years in AKTU exams. Practicing PYQs from 2025, 2024, 2023, 2022 gives you a significant advantage.

BOE065 Computer Based Numerical Techniques Previous Year Question Papers — AKTU

AKTUPro hosts 4 free previous year question papers for Computer Based Numerical Techniques from 2025, 2024, 2023, 2022. These question papers for BOE065 follow a consistent pattern set by AKTU/UPTU and are the best resource to understand what the examiner expects. All BOE065 PYQs on this page are watermark-free and available to view or download instantly.

Study Material available for BOE065 Computer Based Numerical Techniques

4 Previous Year Question Papers (2025, 2024, 2023, 2022)

Frequently Asked Questions — BOE065 Computer Based Numerical Techniques

Where can I download BOE065 Computer Based Numerical Techniques notes for AKTU?

Free Computer Based Numerical Techniques (BOE065) notes are available on AKTUPro — notes will be uploaded soon. No login required.

What previous year question papers are available for BOE065?

AKTUPro has 4 free PYQs for Computer Based Numerical Techniques (BOE065) from 2025, 2024, 2023, 2022. All watermark-free.

Is there a Quantum solved paper for BOE065 Computer Based Numerical Techniques?

Solved papers for Computer Based Numerical Techniques (BOE065) will be uploaded soon. PYQs and notes are available now.

What is the AKTU syllabus for Computer Based Numerical Techniques?

The complete unit-wise AKTU syllabus for BOE065 Computer Based Numerical Techniques (Semester 6) is available under the Syllabus tab on this page, covering all units as per the latest AKTU/UPTU curriculum.

Free AKTU Study Material on AKTUPro

AKTUPro is a free educational platform built specifically for students of Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow. We provide organized, semester-wise study material for all AKTU B.Tech subjects — including Computer Based Numerical Techniques (BOE065) and hundreds of other subjects across all branches and semesters. Every resource on AKTUPro — notes, PYQs, solved papers, practical files, and viva questions — is completely free and accessible without any registration or download limits.