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Differential Calculus And Linear Algebra: EEE stream 1BMATE101

Module-wise notes, PYQs, and a built-in resource explorer — everything you need to crack 1BMATE101 in one focused page.

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Code1BMATE101
Credits03
CIE / SEE50 / 50
TypeTheory
Exam3 Hours
Hours / Week2:2:2:0
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Last Updated:  15 March 2026

Syllabus Overview

M1

Module 1: Differential Calculus

(8 Hours Theory + 4 Hours Tutorial) Polar curves, angle between the radius vector and the tangent, angle between the polar curves, Pedal equations. Curvature and radius of curvature in cartesian, polar, parametric and Pedal forms. Textbook-1: Chapter- 4.7- 4.11

M2

Module 2: Power series Expansions, indeterminate forms and multivariable calculus

(8 Hours Theory + 4 Hours Tutorial) Statement and problems on Taylorโ€™s and Maclaurinโ€™s series expansion for one variable. Indeterminate forms - Lโ€™Hospitalโ€™s rule. Partial Differentiation: Partial derivatives, total derivative, differentiation of composite functions, Jacobians. Maxima and minima for functions of two variables. Textbook-1: Chapter- 4.4(1,2,3),4.5(1,2,3), 5.1- 5.11.

M3

Module 3: Ordinary Differential Equations (ODE) of first order and first degree and nonlinear ODE

(8 Hours Theory + 4 Hours Tutorial) Exact and reducible to exact differential equations- Integrating factors on 1 ๐‘ ( ๐œ•๐‘€ ๐œ•๐‘ฆ โˆ’ ๐œ•๐‘ ๐œ•๐‘ฅ)and 1 ๐‘€ ( ๐œ•๐‘€ ๐œ•๐‘ฆ โˆ’ ๐œ•๐‘ ๐œ•๐‘ฅ) only. Linear and Bernoulliโ€™s differential equations. Orthogonal trajectories, L-R and C-R circuits. Non-linear differential equations: Introduction to general and singular solutions, Solvable for p only, Clairautโ€™s equations, reducible to Clairautโ€™s equations. Textbook-1: Chapter-11.9-11.14- 12.3,12.5.

M4

Module 4: Ordinary differential equations of higher Order

(8 Hours Theory + 4 Hours Tutorial) Higher-order linear ordinary differential equations with constant coefficients, homogeneous and non-homogeneous equations -๐‘’๐‘Ž๐‘ฅ, sin(๐‘Ž๐‘ฅ + ๐‘), cos(๐‘Ž๐‘ฅ + ๐‘), ๐‘ฅ๐‘›only. Method of variation of parameters, Cauchyโ€™s and Legendreโ€™s homogeneous differential equations, L-C-R circuits. Textbook-1: Chapter-13.1-13.9, 14.5.

M5

Module 5: Linear Algebra

(8 Hours Theory + 4 Hours Tutorial) Elementary transformations of a matrix, Echelon form, rank of a matrix, consistency of system of linear equations. Gauss elimination and Gauss โ€“Seidel method to solve system of linear equations. Eigen values and eigen vectors of a matrix, Rayleighโ€™s power method to determine the dominant eigen value and corresponding eigen vector of a matrix. Applications: Traffic flow. Textbook-1: Chapter-2.7-2.13, 28.5,28.6(1),28.7(2),28.9. Textbook-2: Chapter-7

Textbooks & Resources

  • B.S. Grewal, Higher Engineering Mathematics, Khanna Publishers, 44th Ed., 2021.
  • E. Kreyszig, Advanced Engineering Mathematics, John Wiley&Sons,10th Ed.,2018.
  • Gilbert Strang, Linear Algebra and its Applications, Cengage Publications,4thEd.,2025.

Resource Explorer

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Frequently Asked Questions

What is 1BMATE101 (Differential Calculus And Linear Algebra: EEE stream)?

Differential Calculus And Linear Algebra: EEE stream (1BMATE101) is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.

How many credits is 1BMATE101?

Credits for 1BMATE101: 04.

Are notes and previous year question papers available for 1BMATE101?

Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.

How should I prepare Mathematics-I 1BMATE101 for VTU exams?

Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.

Is this 1BMATE101 page updated for current VTU scheme?

Yes, this page is maintained with current scheme-oriented materials and practical exam-focused resource curation.

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About Mathematics-I (1BMATE101)

Mathematics-I (1BMATE101) is a critical course in the VTU curriculum, essential for any student looking to master the foundations of engineering. It covers key theoretical frameworks and practical concepts that are widely used in the industry today, ensuring students are well-prepared for both exams and their future careers.

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๐Ÿ“˜ Detailed Syllabus & Topic Breakdown

Detailed Subject Overview

Mathematics-I (1BMATE101) is designed to provide a comprehensive look into the core methodologies and advanced theories that define this field. Understanding this subject is fundamental for anyone looking to excel in modern technical domains and industrial engineering.

By studying this course, you will learn how to approach complex problems with a structured mindset, optimizing systems for better performance and reliabilityโ€”skills that are highly valued in both AI research and software architecture.

Module-by-Module Breakdown

Module 1
Core

Differential Calculus: (8 Hours Theory + 4 Hours Tutorial) Polar curves, angle between the radius vector and the tangent, angle between the polar curves, Pedal equations. Curvature and radius of curvatur...

Module 2
Core

Power series Expansions, indeterminate forms and multivariable calculus: (8 Hours Theory + 4 Hours Tutorial) Statement and problems on Taylorโ€™s and Maclaurinโ€™s series expansion for one variable. Indeterminate forms - Lโ€™Hospitalโ€™s rule. Partial Different...

Module 3
Core

Ordinary Differential Equations (ODE) of first order and first degree and nonlinear ODE: (8 Hours Theory + 4 Hours Tutorial) Exact and reducible to exact differential equations- Integrating factors on 1 ๐‘ ( ๐œ•๐‘€ ๐œ•๐‘ฆ โˆ’ ๐œ•๐‘ ๐œ•๐‘ฅ)and 1 ๐‘€ ( ๐œ•๐‘€ ๐œ•๐‘ฆ โˆ’ ๐œ•๐‘ ๐œ•๐‘ฅ) only. Linear and Bernou...

Module 4
Core

Ordinary differential equations of higher Order: (8 Hours Theory + 4 Hours Tutorial) Higher-order linear ordinary differential equations with constant coefficients, homogeneous and non-homogeneous equations -๐‘’๐‘Ž๐‘ฅ, sin(๐‘Ž๐‘ฅ + ๐‘), cos...

Module 5
Core

Linear Algebra: (8 Hours Theory + 4 Hours Tutorial) Elementary transformations of a matrix, Echelon form, rank of a matrix, consistency of system of linear equations. Gauss elimination and Gauss โ€“...

Professional Career Relevance

This subject provides a strong foundation for various technical roles, emphasizing analytical thinking, system design, and the practical application of engineering principles in the modern industry. Mastering these concepts prepares you for high-demand roles in Data Science, System Architecture, and Technical Leadership in top-tier tech companies.

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