B.Sc Mathematics Honours (NEP) · Odisha

B.Sc Mathematics Honours 5th Semester

B.Sc Mathematics Honours 5th Semester under NEP 2020 for all Odisha universities: Real Analysis-III, Differential Equations-II, Numerical Analysis & Scientific Computing. Unit-wise syllabus, previous year questions, demo classes and courses by AIFM EDUCATION, explained in Odia with notes in English.

Real Analysis-IIIDifferential Equations-IINumerical Analysis & Scientific Computing
6 courses · fee from₹1,000

Courses in this semester

5th Sem Complete Recorded Course Recorded

5th Sem Complete Recorded Course

Real Analysis-IIIDifferential Equations-IINumerical Analysis & Scientific Computing

🎓 B.Sc. Mathematics Honors – Semester 5 (NEP Syllabus) 📘 Papers Included: • Real Analysis – III • Differential Equation – II • Numerical Analysis ✨ Course Includes: 🎥 Recorded Video Classes 📝 Handwritten PDF Notes 📚 Daily Practice Problems (DPPs) 📄 Assignments 🧪 Regular Exams 💬 Doubt Support ⏳ Validity: 8 Months 💰 Course Fee: ₹4,000 ₹3,000 (Limited Time Offer) 🎯 Learn at your own pace with complete syllabus coverage, concept-focused teaching, and structured exam preparation.

Course fee₹3,000
Enrol now
5th Sem Live Batch Live

5th Sem Live Batch

Real Analysis-IIIDifferential Equations-IINumerical Analysis & Scientific Computing

🎓 B.Sc. Mathematics Honors – Semester 5 (NEP Syllabus) 📘 Papers Included: • Real Analysis – III • Differential Equation – II • Numerical Analysis ✨ Course Includes: 🎥 Recorded Video Classes 📝 Handwritten PDF Notes 📚 Daily Practice Problems (DPPs) 📄 Assignments 🧪 Regular Exams 💬 Doubt Support 🖥️ Weekly LIVE Classes for concept discussion, doubt solving, and exam guidance. ⏳ Validity: 8 Months 💰 Course Fee: ₹6,000 ₹5,000 (Limited Time Offer) 🎯 Get the complete learning experience with self-paced recorded classes, regular live interaction, and continuous support to prepare confidently for your university examinations.

Course fee₹5,000
Enrol now
5th Sem PDF Notes Pack PDF Notes

5th Sem PDF Notes Pack

Real Analysis-IIIDifferential Equations-IINumerical Analysis & Scientific Computing

🎓 B.Sc. Mathematics Honors – Semester 5 (NEP Syllabus) 📘 Papers Included: • Real Analysis – III • Differential Equation – II • Numerical Analysis ✨ Course Includes: 📝 Complete Handwritten PDF Notes ⏳ Validity: 8 Months 💰 Course Fee: ₹2,000 ₹1,500 (Limited Time Offer) 🎯 Well-structured, easy-to-understand handwritten notes designed for concept clarity, quick revision, and confident university exam preparation.

Course fee₹1,500
Enrol now
5th Sem Real Analysis-III – Single Paper Single Paper

5th Sem Real Analysis-III – Single Paper

Real Analysis-III

🎓 B.Sc. Mathematics Honors – Semester 5 (NEP Syllabus) 📘 Paper Included: • Real Analysis – III ✨ Course Includes: 🎥 Recorded Video Classes 📝 Handwritten PDF Notes 📚 Daily Practice Problems (DPPs) 📄 Assignments 🧪 Regular Exams 💬 Doubt Support ⏳ Validity: 8 Months 💰 Course Fee: ₹2,000 ₹1,500 (Limited Time Offer) 🎯 Master Real Analysis – III with concept-oriented video lectures, structured handwritten notes, regular practice, and complete exam-focused preparation.

Course fee₹1,500
Enrol now
5th Sem Differential Equations-II – Single Paper Single Paper

5th Sem Differential Equations-II – Single Paper

Differential Equations-II

🎓 B.Sc. Mathematics Honors – Semester 5 (NEP Syllabus) 📘 Paper Included: • Differential Equation – II ✨ Course Includes: 🎥 Recorded Video Classes 📝 Handwritten PDF Notes 📚 Daily Practice Problems (DPPs) 📄 Assignments 🧪 Regular Exams 💬 Doubt Support ⏳ Validity: 8 Months 💰 Course Fee: ₹1,500 ₹1,250 (Limited Time Offer) 🎯 Learn Differential Equation – II with concept-oriented video lectures, handwritten notes, regular practice, and exam-focused preparation to build strong concepts and perform confidently in your university examinations.

Course fee₹1,250
Enrol now
5th Sem Numerical Analysis – Single Paper Single Paper

5th Sem Numerical Analysis – Single Paper

Numerical Analysis & Scientific Computing

🎓 B.Sc. Mathematics Honors – Semester 5 (NEP Syllabus) 📘 Paper Included: • Numerical Analysis ✨ Course Includes: 🎥 Recorded Video Classes 📝 Handwritten PDF Notes 📚 Daily Practice Problems (DPPs) 📄 Assignments 🧪 Regular Exams 💬 Doubt Support ⏳ Validity: 8 Months 💰 Course Fee: ₹1,500 ₹1,000 (Limited Time Offer) 🎯 Learn Numerical Analysis through concept-oriented video lectures, handwritten notes, regular practice, and exam-focused preparation to build strong problem-solving skills and perform confidently in your university examinations.

Course fee₹1,000
Enrol now

5th Semester syllabus (NEP)

Unit-wise syllabus from the Odisha State Higher Education Council model curriculum. Tap a paper to open it.

Core XI · 4 creditsReal Analysis-III

Course objective

After a first course in real analysis in undergraduate program, the ideas of uniform continuity, uniform convergence and approximation by polynomials are crucial in analysis. In addition to the functions of bounded variation and their integrators, the student has to learn differentiating functions from R^n to R^m. The techniques of integration of a function with respect to another function and the basic ideas of finding a Fourier series are also included.

Unit I

Basic concepts of Fourier series, Fourier series of even and odd functions, half range series, Fourier series on other intervals, orthogonal systems of functions, theorem on best approximation, properties of Fourier coefficients, Riesz-Fischer theorem, Riemann-Lebesgue lemma, Dirichlet integral, integral representation for the partial sum of a Fourier series, convergence of Fourier series.

Unit II

Function of bounded variation, examples, total variation, function of bounded variation expressed as difference of increasing functions, rectifiable paths, Riemann-Stieltjes integrals, properties and techniques, necessary and sufficient condition for existence of the integral, mean value theorem for Riemann-Stieltjes integrals, reduction to Riemann integrals.

Unit III

Differentiation in R^n, partial derivatives, directional derivatives, sufficient condition for differentiability, chain rule, mean value theorem, Jacobians, contraction mapping principle, inverse function theorem, implicit function theorem, rank theorem, differentiation of integrals, Taylor's theorem in many variables.

Unit IV

Metric spaces, definitions and examples, open and closed sets, interior and exterior points, convergence and completeness, continuity and uniform continuity, compactness, connectedness.

Learning outcomes

  • Find the Fourier series of a function.
  • Calculate Riemann-Stieltjes integrals and know whether a function is of bounded variation or not.
  • Learn how to define derivatives on R^n including the existence of partial derivatives, inverse function theorem and implicit function theorem.
  • Learn about metric spaces and their topological properties.

Books recommended

  • W. Rudin, Principles of Mathematical Analysis, McGraw Hill, 3rd edition.
  • T. Apostol, Mathematical Analysis, Pearson, 2nd edition.
  • S. C. Malik and Savita Arora, Mathematical Analysis, New Age International, 5th edition.

Books for reference

  • Terence Tao, Analysis-I, Hindustan Book Agency.
  • Terence Tao, Analysis-II, Hindustan Book Agency.
  • K. A. Ross, Elementary Analysis: The Theory of Calculus, Undergraduate Texts in Mathematics, Springer (SIE), Indian reprint, 2004.
  • Charles G. Denlinger, Elements of Real Analysis, Jones and Bartlett, Student Edition, 2011.
Core XII · 4 creditsDifferential Equations-II

Course objective

The objective of this course is to understand basic methods for solving nonlinear first order ordinary differential equations and existence of solutions, along with some special types of second order ordinary differential equations of mathematical physics. Also, students will be exposed to second order partial differential equations arising in thermal physics and thermodynamics.

Unit I

Existence and Uniqueness of Solutions: Lipschitz condition, Gronwall type inequality, successive approximations, Picard's theorem, non-uniqueness of solutions, continuation and dependence on initial conditions, existence of solutions in the large.

Unit II

Solution of second order ODE with constant coefficients, power series solutions of ordinary and singular points, and special functions of Legendre's differential equations, Bessel's differential equations and their properties.

Unit III

Charpit's method, special types of first order PDE, Jacobi's method, linear second order PDE, canonical forms of second order PDE and characteristic curves, one dimensional wave equation, its origin and elementary solutions, vibration of an infinite string, vibration of a semi-finite string, vibration of a string of finite length, existence of unique solution.

Unit IV (Practical)

Laboratory work for the following problems using MATLAB / Mathematica / Maple etc.: 1) Plot the Fourier series of the following functions: f(x) = x², x ∈ [−1, 1]; f(x) = 1 for 0 < x < π, f(x) = −1 for −π < x < 0; f(x) = sin x, 0 < x < π/2. 2) Solution of wave equation ∂²u/∂t² − c² ∂²u/∂x² = 0 for the following associated conditions: (i) u(x,0) = φ(x), uₜ(x,0) = σ(x), x ∈ R, t > 0; (ii) u(x,0) = φ(x), uₜ(x,0) = σ(x), u(0,t) = 0, x ∈ (0,∞), t > 0; (iii) u(x,0) = φ(x), uₜ(x,0) = σ(x), uₓ(0,t) = 0, x ∈ (0,∞), t > 0; (iv) u(x,0) = φ(x), uₜ(x,0) = σ(x), u(0,t) = 0, u(l,t) = 0, 0 < x < l, t > 0. 3) Solution of one dimensional heat equation ∂u/∂t − k ∂²u/∂x² = 0 for the following conditions: (i) u(x,0) = φ(x), u(0,t) = a, u(l,t) = b, 0 < x < l, t > 0; (ii) u(x,0) = φ(x), x ∈ R, 0 < t < T; (iii) u(x,0) = φ(x), u(0,t) = a, x ∈ (0,∞), t ≥ 0.

Learning outcomes

  • Understand first order nonlinear ordinary differential equations and existence of solutions.
  • Learn the methods to find solutions of second order linear ordinary differential equations with constant coefficients and variable coefficients.
  • Learn the different methods for solving first and second order partial differential equations, and be able to take more courses on wave equation, heat equation, diffusion equation, gas dynamics, nonlinear evolution equations, etc. All these courses are important in engineering and industrial applications for solving boundary value problems.
  • Get idea to solve various mathematical models of ODE and PDE which may be helpful for simulation process.

Books recommended

  • Deo and Raghavendra, Text Book of Ordinary Differential Equations, Tata McGraw-Hill Pub. Company Ltd., New Delhi, 2017.
  • G. F. Simmons, Differential Equations, Tata McGraw-Hill, 1991. (Ch-5: 28-30, Ch-8: 44-47, Ch-6: 33-36)
  • I. Sneddon, Elements of Partial Differential Equations, McGraw-Hill, International Students Edition, 2006. (Ch-2: 10, 11, 13; Ch-3: 4-7; Ch-5: 1, 2)
  • Tyn Myint-U and Lokenath Debnath, Linear Partial Differential Equations for Scientists and Engineers, 4th edition, Birkhauser, Indian reprint, 2014.

Books for reference

  • J. N. Sharma and Kehar Singh, PDE for Engineers and Scientists, Narosa, New Delhi, 2009.
  • T. Amarnath, An Elementary Course in Partial Differential Equations, Narosa Publications, 2003.
  • Martin Braun, Differential Equations and their Applications, Springer International Student Ed., 1978.
  • S. L. Ross, Differential Equations, 3rd Edition, John Wiley and Sons, India, 2014.
  • C. Y. Lin, Theory and Examples of Ordinary Differential Equations, World Scientific, 2011.
Core XIII · 4 creditsNumerical Analysis & Scientific Computing

Course objective

The objective of this course is to acquaint the students with a wide range of numerical methods to solve algebraic and transcendental equations, linear system of equations, interpolation and curve fitting problems, numerical integration, initial and boundary value problems, etc. Develop adequate skills to apply those methods in real world problems.

Unit I

Errors in approximation, absolute, relative and percentage errors, round-off error, solution of algebraic and transcendental equations: bisection method, Regula-Falsi method, secant method, method of iteration, Newton-Raphson method, order of convergence, systems of simultaneous equations: Gauss elimination method, Gauss-Jordan method, LU decomposition method, iterative methods: Jacobi method and Gauss-Seidel method.

Unit II

Finite differences, interpolation techniques for equal intervals: Newton forward and backward, Gauss forward, Gauss backward; interpolation with unequal intervals: Newton's divided difference method, Lagrange method, Hermite interpolation. Numerical differentiation using Newton forward and backward formulae, numerical integration using Newton-Cotes formulas, trapezoidal rule, Simpson's rules, Gauss-Legendre, Gauss-Chebyshev formulas.

Unit III

Solution of ordinary differential equations: Taylor series method, Picard's method, Euler method, Euler modified method, Runge-Kutta methods.

Unit IV (Practical)

Practical / Lab work to be performed in Computer Lab. Use of computer algebra system (CAS) software: Python / Sage Math / Mathematica / MATLAB / Maple / Maxima / Scilab / R or any other (open source) software, etc., for developing at least the following numerical programs:

  • Bisection method, Newton-Raphson method and Secant method.
  • LU decomposition method.
  • Gauss-Jacobi method and Gauss-Seidel method.
  • Lagrange interpolation and Newton interpolation.
  • Trapezoidal rule and Simpson's rules.
  • Taylor series method, Picard's method, Euler method, Euler modified method and Runge-Kutta methods. Note: Non-programmable scientific calculator is allowed in the examination.

Learning outcomes

  • Understand the errors in computation, find the roots of algebraic and transcendental equations, become familiar with convergence, advantages and limitations of those numerical techniques, and learn to apply Gauss-Jacobi and Gauss-Seidel methods to solve system of linear equations.
  • Become aware of using interpolation techniques to solve polynomials.
  • Learn numerical differentiation and integration by using different techniques.
  • Understand the techniques to find approximate solutions of ODE and PDE.

Books recommended

  • M. K. Jain, S. R. K. Iyengar & R. K. Jain: Numerical Methods for Scientific and Engineering Computation, New Age International Publisher, India, 2016.
  • R. K. Gupta: Numerical Methods: Fundamentals and Applications, Cambridge University Press, 2019.

Books for reference

  • Brian Bradie: A Friendly Introduction to Numerical Analysis, Pearson Education India, Dorling Kindersley (India) Pvt. Ltd., Third impression, 2011.
  • Curtis F. Gerald & Patrick O. Wheatley: Applied Numerical Analysis, Pearson Education, India, 2007.
  • S. D. Conte & C. de Boor: Elementary Numerical Analysis: An Algorithmic Approach, 1980.
B.Sc Mathematics Honours 5th Semester syllabus (PDF)NEP 2020 · Odisha
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Previous year questions (PYQ)

PYQs for this semester will be uploaded soon. Ask on WhatsApp for PYQ solutions in the AIFM app.

Demo classes

Demo classes for this semester are coming soon. Meanwhile, watch free classes on our YouTube channel.

What you get in the full course

Recorded video classes
PDF notes (English)
Handwritten notes
Doubt section
Assignments & tests
PYQ & important questions
Live support (selected batches)
All Odisha universities

Frequently asked questions

What is the syllabus of B.Sc Mathematics Honours 5th Semester in Odisha (NEP)?

It has 3 papers: Real Analysis-III, Differential Equations-II, Numerical Analysis & Scientific Computing. The unit-wise syllabus is on this page, and the syllabus PDF can be opened or downloaded.

What is the fee for the B.Sc Mathematics Honours 5th Semester course at AIFM EDUCATION?

AIFM EDUCATION offers 6 courses for this semester (Recorded, Live, PDF Notes, Single Paper). Fees start from ₹1,000.

Where can I find B.Sc Mathematics Honours 5th Semester previous year question papers (PYQ)?

PYQs for this semester will be added to this page soon. PYQ solutions are available in the AIFM EDUCATION app.

Is this course for all universities in Odisha?

Yes. It follows the NEP 2020 model curriculum of the Odisha State Higher Education Council, used by universities across Odisha. Classes are explained in Odia, with notes in English.

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