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Bachelor of Science [B.Sc] (Applied Mathematics)

Course Structure:

The course structure is a combination of classroom teaching and practical classes. Each student is supposed to attend all the theoretical classes to understand the abstract concepts of mathematics and also the practical classes so that the student gets an understanding of the practical usage of all the abstract ideas.

Syllabus:

The major topics taught under this course include algebra, calculus, differential equations and differential geometry along with statistics and probability. All the courses taught in this program deal with the practical applications in other disciplines.

Name of the course

Topics Covered

Description

Calculus

Hyperbolic functions, Leibniz rule and its applications to problems of type eax+bsinx, eax+bcosx, (ax+b)n sinx, (ax+b)n cosx, Reduction formulae, Techniques of sketching conics, reflection properties of conics, rotation of axes and second degree equations, etc.

The main aim of this course is to make the students acquainted with the basic concepts of calculus and analytic geometry through theoretical teaching and practicals.

Algebra

Polar representation of complex numbers, nth roots of unity, De Moivre’s theorem for rational indices and its applications, Equivalence relations, Functions, Composition of functions, Systems of linear equations, Introduction to linear transformations, matrix of a linear transformation, etc.

This paper focuses on the concepts of algebra and complex numbers along with Graph theory and applications of linear algebra.

Real Analysis

Review of Algebraic and Order Properties of R, ߜ-neighborhood of a point in R, Idea of countable sets, uncountable sets and uncountability of R, Sequences, Bounded sequence, Convergent sequence, Limit of a sequence, Infinite series, convergence and divergence of infinite series, Cauchy Criterion, etc.

This paper deals with the concepts of real analysis.

Differential Equations

Differential equations and mathematical models, Introduction to compartmental model, exponential decay model, lake pollution model etc., General solution of homogeneous equation of second order, principle of super position for homogeneous equation, Equilibrium points, Interpretation of the phase plane, predatory-prey model and its analysis, etc.

The paper deals with the computing and modeling of differential equations and its practical approach using Maple and MATLAB.

Theory of Real Functions

Limits of functions (߳െߜ approach), sequential criterion for limits, divergence criteria, Differentiability of a function, Caratheodory’s theorem, Cauchy’s mean value theorem, Riemann integration, Riemann conditions of integrability, Improper integrals, Pointwise and uniform convergence of sequence of functions, Limit superior and Limit inferior. Power series, radius of convergence, etc.

This paper gives the elementary understanding of the real functions and their analysis.

Group Theory

Definition and examples of groups including permutation groups and quaternion groups (illustration through matrices), Properties of cyclic groups, classification of subgroups of cyclic groups, External direct product of a finite number of groups, Group homomorphisms, properties of homomorphisms, Cayley’s theorem, Characteristic subgroups, Commutator subgroup and its properties, etc.

This course deals with topics related to abstract algebra and theory of groups.

PDE and Systems of ODE

Partial Differential Equations – Basic concepts and definitions, Derivation of Heat equation, Wave equation and Laplace equation, Systems of linear differential equations, types of linear systems, differential operators, etc.

Through this paper the students are acquainted with the linear partial differential equations and differential equations in general.

Multivariate Calculus

Functions of several variables, limit and continuity of functions of two variables, Chain rule for one and two independent parameters, directional derivatives, Double integration over rectangular region, Triple integrals, Triple integral over a parallelepiped and solid regions volume by triple integrals, Line integrals, Applications of line integrals, Green’s theorem, surface integrals, integrals over parametrically defined surfaces, etc.

The focus of the paper is calculus and analytical geometry involving basic multivariable calculus, its concepts and contexts and also an understanding of advanced calculus.

Complex Analysis

Limits, Limits involving the point at infinity, continuity, Analytic functions, examples of analytic functions, exponential function, Logarithmic function, trigonometric function, An extension of Cauchy integral formula, consequences of Cauchy integral formula, Liouville’s theorem, Laurent series and its examples, absolute and uniform convergence of power series, uniqueness of series representations of power series etc.

The paper deals with the complex variables and its application and the theory of complex variables.

Rings and Linear Algebra

Definition and examples of rings, properties of rings, integral domains and fields, characteristic of a ring. Ideals, ideal generated by a subset of a ring, operations on ideals, prime and maximal ideals. Ring homomorphisms, properties of ring homomorphisms, polynomial rings over commutative rings, division algorithm, Eisenstein criterion. Vector spaces, subspaces, algebra of subspaces, quotient spaces, etc., Linear transformations, null space, range, rank and nullity of a linear transformation, etc., Dual spaces, dual basis, double dual, transpose of a linear transformation and its matrix in the dual basis, annihilators etc.

The paper is about the concepts of abstract algebra, linear algebra and its applications and geometric approaches.

Mechanics

Moment of a force about a point and an axis, couple and couple moment, Moment of a couple about a line, resultant of a force system etc., Laws of Coulomb friction, application to simple and complex surface contact friction problems, transmission of power through belts, screw jack, wedge, first moment of an area and the centroid, other centers, etc., Conservative force field, conservation for mechanical energy, work energy equation, kinetic energy and work kinetic energy expression based on center of mass, etc.

The course is of engineering mechanics and deals with its statistics and dynamics.

Numerical Methods and Programming

Algorithms, Convergence, Bisection method, False position method, Fixed point iteration method, Newton’s method, Secant method, LU decomposition, Gauss-Jacobi, Gauss-Siedel and SOR iterative methods. Lagrange and Newton interpolation: linear and higher order, finite difference operators. Numerical differentiation: forward difference, backward difference and central difference. Integration: trapezoidal rule, Simpson’s rule, Euler’s method.

The paper is about the numerical analysis and numerical methods for scientific and engineering computation.

Integral Equations and Calculus of Variation

Preliminary Concepts: Definition and classification of linear integral equations. Conversion of initial and boundary value problems into integral equations, Fredholm Integral Equations: Solution of integral equations with separable kernels, Eigen values and Eigen functions, Classical Fredholm Theory: Fredholm method of solution and Fredholm theorems, Volterra Integral Equations: Successive approximations, Neumann series and resolvent kernel. Equations with convolution type kernels. Solution of integral equations by transform methods: Singular integral equations, Hilberttransform, Cauchy type integral equations. Calculus of Variations: Basic concepts of the calculus of variations such as functionals, extremum, variations, function spaces, the brachistochrone problem, Necessary condition for an extremum, Euler`s equation with the cases of one variable and several variables, etc., General Variation: Functionals dependent on one or two functions, Derivation of basic formula, Variational problems with moving boundaries, etc.

The course deals with concepts of integral equations calculus of variations with applications to physics and engineering.

Laplace Transform

Laplace Transform: Laplace of some standard functions, etc,. Finite Laplace Transform: Definition and properties, Shifting and scaling theorem. Z-Transform: Z–transform and inverse Z-transform of elementary functions, etc., Hankel Transform, Hankel Transform, Fourier series, Fourier Transforms.

The topics covered are from advanced engineering mathematics.

Some of the Discipline Specific Electives are:

  • Number Theory
  • Graph Theory
  • Linear Programming
  • Control Theory
  • Approximation Theory
  • Combinatorial Optimization
  • Mathematical Modeling
  • Coding Theory
  • Wavelet Theory
  • Bio-Mathematics
  • Stochastic Processes
  • Difference Equations

There are also a few skill enhancement courses, and these are:

  • Bio-Mathematics
  • Stochastic Processes
  • Difference Equations
  • Bio-Mathematics
  • Stochastic Processes
  • Difference Equations

And the institutes also offer a few of the generic electives. These are:

  • Object Oriented Programming in C++
  • Finite Element Methods
  • Mathematical Finance
  • Econometrics
  • Digital Signal Processing
  • Neural Networks
  • Dynamical Systems
  • Industrial Mathematics
  • Statistical Techniques
  • Modeling and Simulation

Top Institutes:

The course is offered by only a handful of institutes in India. These institutes are:

Name of the Institute

City, State

Government Degree College

Jammu, Jammu and Kashmir

Guru Ghasidas Vishwavidyalaya

Bilaspur, Chhattisgarh

Mayur College

Kapurthala, Punjab

Ask your question

Answered Questions

PD

Praniti Das

28 Sept 21

ISI Kolkata does not provide a B.Math program. The majority of B.Stat students return for M.Stat while some people join CMI, TIFR, IIM, and other such organizations. 

M.Stat employees earn an average of 16–17 LPA, and many of them attend prestigious US graduate institutions. There are no fees for the entire program, and a stipend is provided. So, if you're looking for a career here, your future is bright.

...Show More

VK

Vishal Kumar

15 Nov 22

The BSc (Maths) entrance exam is BHU is one of the easiest exams. You can score fairly good marks by just going through your 12th-grade Maths, Physics, and Chemistry books. Study Chemistry from NCERT book. A thorough study of the following chapters will get you good marks:

  • Biomolecule

  • Polymer

  • Animes

  • Chemistry in everyday life

The questions in the entrance exam are mostly based on direct concepts or formulas.

As far as the number of marks necessary is concerned, there is no fixed digit. But at least attempt 70 questions without mistakes. This means you need to score at least 210 marks out of 450. However, this number keeps changing based on the pattern of the question paper.

...Show More

SV

Shirsti Varma

11 Nov 21

To score well in BHU UET, you need to have your basics clear. Go through all the chapters in Physics, Chemistry, Mathematics from NCERT books and your textbooks at least once. 

  • Go through the previous year’s questions from the BHU website. You will get to know the question trends and also get an idea of the chapters to focus on. They often repeat questions.
  • The questions are not that hard. You can easily attempt 10% of the questions. 60% of the questions require fundamental knowledge of the subjects. Only around 30% of the questions will be difficult to solve. But you don’t need to worry about the 30% difficult question. You can easily score enough marks from the rest of the paper.
  • Time management is crucial during the examination. The allotted time is 150 min. Which can seem short, if you don’t plan accordingly. First, you should attempt Chemistry questions. These are easy to solve and require less time. Then you can move on to Physics and Mathematics. Don’t stress too much on the questions that you don’t know the answer to. Try to score at least 120 out of 150 in the Chemistry section. 
  • Your focus on class 11 and 12th syllabus should be 40/60. 

The required cutoff for the general candidates is around 190-200. So, try to score 240 to get your preferred combination. 

...Show More

AS

Aniket Sinha

07 Oct 21

Both B.Stat and B.Math are different courses being offered at different campuses at ISI Kolkata and ISI Bangalore respectively. There are only a few common subjects in both courses. 

The choice ultimately depends on your choice and interest. You can go through the syllabus of both courses and understand the topics. Find whichever interests you, you can choose to be research-oriented like B.math students or go for M.stat or other courses, if you choose so.

You can apply for only 1 course because the institute conducts the entrance of both courses at the same time and day. You will be able to appear for only one of them.

...Show More

HS

Himangi Srivastava

18 Nov 22

My sister’s friend could not score a good rank in engineering but was lucky enough to get a seat in BHU UET for Maths Hons.

She shared her experience that this was the best decision of her life as she felt unique. She made a lot of memories and befriended many talented people.

She lived her college life to her fullest extent. From hostels to backlogs, she experienced all the fun. Despite creating hundreds of memories, today her batchmates are in IITs, 10% in IISc Banglore, 15% in IISERs, and 10% in IIMs. The others are booming in their own fields.

...Show More

SS

Santosh Singh

19 Oct 22

If you are willing to get admission at IGNOU for B.Sc. Mathematics you can follow the following steps:

  • choose minimum 40 credits worth of Mathematics electives

  • you have to choose/opt your Mathematics electives according to year wise scheme i.e some electives in first year,some in second year and rest are in third year.

  • Remember you cannot opt a 3rd year elective course in first year or second year. You can opt a first year course in second year or third year. Similarly a second year course in the third year. This is why there are less than 24 credit options of Mathematics electives.

  • Online registration system eliminates the already selected electives automatically. This is the reason you don’t get MTE1 or MTE6 etc. options in your second year reregistration options list.

MTE 06 is the toughest paper so try opting other electives.

...Show More

AG

Ashish Gupta

17 Nov 22

The syllabus for the BHU UET BAc in Maths is vast. One single book is not enough to cover it. But having a strong command of 10+2 syllabus is very important. Studying the previous years questions will give you a clear picture of the pattern of questions.

The key syllabus for Maths Hons is:

  • Relations and Functions and their Notations ( RD Sharma)

  • The toughest part of the paper has to be Complex Numbers

  • Previous year papers

  • Binary system 

If you are well versed in the above syllabus you are likely to score good marks.

...Show More

AA

Anjum Ali,

01 Nov 21

One of my friends studied at Jamia Millia Islamia (JMI). According to him, getting previous year’s solved papers for B.Sc. Math Honours is easy.

  • You can visit the official site of the institute and search for the previous year’s paper.
  • Download the question paper year wise
  • Click on the link and the paper will be downloaded in Pdf format.

If you do not get them online, try searching for the question books of every year in bookstores or in shopping sites like Amazon or Flipkart.

...Show More

SM

Sahil Mishra

28 Jan 22
Wait for the cutoff lists to get released. If you clear the cutoff for each of these colleges, then your preference order should be as follows.

Hindu>Kirori Mal>Hansraj>Ramjas

The required cutoff for North campus colleges is usually higher than the south campus colleges. You can choose the college based on your cutoff. 

...Show More

AB

Aditi Banerjee

05 Apr 23

Whether you should opt for MnC at IIT Delhi or B.Math at ISI Bangalore depends on what you want from your graduation and your career prospects.

Academically both institutes are excellent and none is better than the other. So my answer entails the drastic difference in the curriculum and scope of the two programs.

Bachelor of Mathematics, ISI Bengaluru

This program has high-tech mathematical stuff and purely focuses on Mathematics. The Institute is smaller than IIT Delhi and ideal for those who have a single passion in life, Maths. The coursework consists of abstract algebra, analysis, probability theory, and so on. Additionally, it has compulsory courses in Statistics, Probability, and Physics as well. Although it offers some CS courses also, the program does not focus on Computer Science much.

Math and Computing (MnC), IIT Delhi

The curriculum of the MnC program is more inclined toward computer science than Mathematics. The program focuses more on applied mathematics, rather than pure mathematics. As a result, graduates from this course can start jobs earlier than those from ISI.

In a nutshell, if you are willing to go for higher education and research in mathematics, then ISI should be your goal. If you are a person interested in the practical application of concepts and want to eventually be employed in a company, then IIT Delhi is the best place for you.

...Show More

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