Mathematics Tuition Classes for College Level

A complete list of college level Mathematics coaching classes in Bangalore. See available courses offered by different coaching centres, find out about total fees, admissions, course curriculum, study materials provided, faculty experiences, facilities and total duration for the first year or second year. Request a callback or ask a question to get more details. Enrol for Mathematics coaching class near your place.

12 Classes Found

Result : 1 to 12 of 12 Classes
Segment: College Level
Subject: Mathematics
Course Fees: Ask Now
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Area: Jayanagar

Pincode: 560011

Course Details:

Here at our institute we offer the course of M.Sc. in Mathematics. This program exposes the students to several streams of Mathematics. The basic integration of this course is on: Functional Analysis Probability Theory Partial Differential Equations Algebra Commutative Algebra Fourier Analysis Applied Harmonic Analysis Algebraic Topology Analysis of Variance Mathematical Modelling Algorithms Graph Theory Nonlinear Dynamical Systems Numerical Linear Algebra Parallel Numerical Algorithms Fluid Mechanics Multivariate Analysis Mathematical Methods Sampling Theory Regression Analysis Partial Differential Equations Commutative Algebra Basic Number Theory Algebraic Number Theory Spline Theory and Variational Methods Elements of Differential Topology

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Segment: College Level
Subject: Mathematics
Course Fees: Ask Now
Duration: Ask Now

Area: Jayanagar

Pincode: 560011

Course Details:

Mathematics is one of the most enduring fields of study, and is essential in an expanding number of disciplines and professions. Our program covers: Classical Algebra Modern Algebra Analytical Geometry of Two Dimensions Vector Algebra Analytical Geometry of Three Dimensions Evaluation of Integrals Linear Algebra Vector Calculus Linear Programming and Game Theory Differential Equations Real-Valued Functions of Several Real Variables Application of Calculus Tensor Calculus Graph Theory Hydrostatics Rigid Dynamics

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Segment: College Level
Subject: Mathematics
Course Fees: Ask Now
Duration: Ask Now

Area: Jayanagar

Pincode: 560011

Course Details:

By the means of this course we offer an exciting opportunity to students to exploit out how mathematics can be put into day to day practical use. Also we have introduced in our curriculum some mathematical models involving computer applications. We provide a comprehensive degree course covering theoretical, computational and practical aspects of the subject.

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Segment: College Level
Subject: Mathematics
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Area: Not Given

Pincode: 560090

Course Details:

We provide distance programme in all Science subjects. Course is designed with the aim of building a strong foundation of tha Science subjects to the young minds. Our programe helps the fresh brains get good concepts of all the science subjects like Physics, Chemistry, Mathematics, Bio Science, computer science etc and develop a structured and thorough knowledge as they grow.

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Segment: College Level
Subject: Mathematics
Course Fees: Ask Now
Duration: Ask Now

Area: Jayanagar

Pincode: 560011

Course Details:

Through this programme you will get to have concrete concepts on all the science subjects mentioned below: Biology Biomedical Sciences Biosciences Brewing Science Chemistry Community Health Sciences Environment Physics and Astronomy

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Segment: College Level
Subject: Mathematics
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Duration: Ask Now

Area: Jayanagar

Pincode: 560011

Course Details:

After completion of your plus two studies you need to choose a career path that appeals you. We provide a thorough guidance and coaching programme to help you choose a career option and prepare for qualifying the corresponding examinations.

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Segment: College Level
Subject: Mathematics
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Area: Not Given

Pincode: 560050

Course Details:

This BSc programme is contained with the following areas: Hindi, English, Fundamentals of Computer, Foundation Course Science & Technology, Calculous and Vector Analysis Properties of Matter and Heart, Physical Chemistry, Environmental Science, Astronomy and Astrophysics, Electricity and Electronics Differential Equation and Algebraic Structures, Analytical Chemistry, Inorganics and Organic Chemistry, Real and Complex Analysis, Mathematical Physics etc. Standard syllabous is followed and taught in detail.

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Segment: College Level
Subject: Mathematics
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Area: Not Given

Pincode: 560043

Course Details:

Wanting to pursue the degree course in any chosen standard subject of Science will be catered through this UGC-AICTE approved course. Updated, rich and extensive theory and regular practicals of subjects like Physics, Chemistry, Mathematics, BioTech,Computer Sc.is followed.

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Segment: College Level
Subject: Mathematics
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Area: Not Given

Pincode: 560052

Course Details:

You will gain a comprehensive knowledge through the following areas:  Applied Mathematics, Biometrics, Biostatistics Computational Science Mathematical and Computational Finance Mathematics, Statistics

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Segment: College Level
Subject: Accountancy
Course Fees: INR 5000
Duration: 40 Hours

Pincode: 560095

Course Details:

CAREER OVERVIEW-ACTUARIAL SCIENCE! Who is an Actuary? The future is an uncertain place full of risk, but where there’s risk there’s also opportunity. The role of an actuary is to help companies manage and reduce the risks facing their business. Using numbers, facts and careful analysis, actuaries evaluate the likelihood of future events in an effort to avoid the “worst case” scenario from occurring. When risk cannot be avoided, actuaries offer creative ways to reduce the likelihood that undesirable events will occur.  Being an actuary is one of the highest paid professions. It's a career where you can use your talents to solve real world problems. It's a commitment to uphold certain standards of performance, professionalism and ethics. It's a qualification you can take anywhere in the world. You could help solve problems in business - like pricing products or managing risk. Or find solutions to social and economic dilemmas. You are right into the Actuarial profession if You would like to "earn while you learn." You want a highly competitive salary and excellent benefits. You have a mathematical bent of mind. You want a career that is dynamic and challenging. You want a career with many opportunities that will provide you with skills that are transferrable across multiple industries as mentioned below. What to study in Actuarial Science:  Core Technical(CT) Series Exams: CT1-Financial Mathematics CT2-Finance and Financial Reporting CT3-Probability and Mathematical Statistics CT4-Models CT5-General Insurance, Life and Health Contingencies CT6-Statistical Methods CT7-Business Economics CT8-Financial Economics CT9-Business awareness module Core Application(CA) Series Exams: CA1-Actuarial Risk Management CA2-Model Documentation. Analysis and Reporting CA3-Communication Specialist Technical Stage (ST)Exams: (Any two) ST1-Health and Care ST2-Life Insurance ST4-Pension and Other Employee Benefits ST5-Finance and Investment A ST6-Finance and Investment B ST7-General Insurance - Reserving and Capital Modelling  ST8-General Insurance - Pricing Specialist Technical ST9-Enterprise Risk Management Specialist Application Stage (SA):(One exam to be passed) SA1-Health and Care SA2-Life Insurance SA3-General Insurance SA4-Pension and Other Employee Benefits SA5-Finance SA6-Investment Work of an Actuary As an actuary, you have to use mathematical equations, statistics and financial theories to determine the risk and uncertainty of involved financial costs. You have to assess risks and help the company to take measures to minimise the risk. Main Areas of Practice Life Insurance General Insurance Health Insurance Pensions Finance and Investment Consultancies Enterprise Risk Management Predictive Analytics Statistical Modeller Quant Analyst Typical work  Analyse the events and its risks that can increase the economic costs for the company; for instance, untimely death or a natural disaster will cause an insurance company to pay the insurance amount to the nominee and this pre-mature payment can cause losses to the insurance company. Design, test and implement various business strategies like pension plans and insurance investments to maximize profit and minimize losses. The actuary has to create in-depth reports containing charts and tables to explain the business strategies and its benefits. In investment, actuaries are involved in a range of work such as: pricing financial derivatives, working in fund management, or working in quantative investment research. Often investment actuaries work in fields where their understanding of insurance or pension liabilities helps them to manage the investment of the corresponding assets. Actuarial consultancies offer a whole range of services to their clients on issues such as acquisitions, mergers, corporate recovery and financing capital projects. Many also offer advice to employers and trustees who run occupational pension schemes.  Actuaries serve an important role with predictive analytics by using modelling and data analysis techniques on large data sets to discover predictive patterns and relationships for business use. The actuarial profession has been actively advancing the use of predictive analytics methods in its work. For more information please visit www.actuariesindia.org www.actuaries.org.uk For school level math training please visit www.12math.com

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Segment: College Level
Subject: Mathematics
Course Fees: Ask Now
Duration: Ask Now

Pincode: 560095

Course Details:

Real Analysis -I 1. Sets and functions: Operations on sets, Functions, Real-valued functions, Equivalence countability, Real numbers, Cantor set, Least upper bounds 2. Sequences of Real Numbers: Definition of sequence and subsequence, Limit of a sequence, Convergent sequences, Monotone sequences, Divergent sequences, Limit superior, Limit inferior, Cauchy sequences. 3. Series of Real numbers: Convergent and divergent series, series with non-negative terms, alternating series, Conditional and Absolute convergence, Rearrangement of series, Tests of absolute convergence, series whose terms form a non-increasing sequence, The class 𝑙2. Real Analysis-II 1. Riemann Integral: Sets of measure zero, Definition and existence of Riemann integral, properties of Riemann integral, Fundamental theorem of integral calculus, mean value theorems of integral calculus. 2. Improper Integrals: Definition of improper integral of first kind, comparison test, test, absolute and conditional convergence, integral test for convergence of series, definition of improper integral of second kind, Cauchy principal value. 3. Sequences and series of functions: Point wise and uniform convergence of sequences of functions, consequences of uniform convergence, convergence and uniform convergence of series of functions, integration and differentiation of series of functions. Group Theory 1. Groups: Binary Operations, Isomorphic Binary Structures, Groups. 2. Subgroups: Subgroups, Cyclic Groups. 3. Permutations: Cosets, Direct Product: Groups of Permutations, Orbits, Cycles, Alternating Groups, Cosets and the Theorem of Lagrange, Direct Products. 4. Homomorphisms and Factor Groups: Homomorphisms, Factor Groups, Factor Group Computations and Simple Groups. Ring Theory 1. Rings and Fields: Rings and Fields, Integral Domains, The Fields of Quotients of an Integral Domain, Rings of Polynomials, Factorization of Polynomials over a Field. 2. Ideals and Factor Rings: Homomorphisms and Factor Rings, Prime and Maximal Ideals. Factorization: Unique Factorization Domains , Euclidean Domain Euclidean Domains, Gaussian Integers and Multiplicative Norms Ordinary Differential Equations 1. Linear Differential Equations with constant coefficients: The auxiliary equations. Distinct roots, repeated roots, Complex roots, particular solution. The operator 1/𝑓 (𝐷) and its evaluation for the functions 𝑥𝑚 , 𝑒𝑎𝑥, 𝑒𝑎𝑥𝑣 & 𝑥𝑣 and the operator 1/(𝐷2 + 𝑎2) acting on 𝑠𝑖𝑛 𝑎𝑥 and 𝑐𝑜𝑠 𝑎𝑥 with proofs. 2. Non-Homogeneous Differential Equations: Method of undetermined coefficients, Method of variation of parameters, Method of reduction of order, The use of a known solution to find another. 3. Power series solutions: Introduction and review of power series, Linear equations and power series, Convergence of power series,Ordinary points and regular singular points. 4. System of First-Order Equations: Introductory remarks, linear systems, homogeneous linear systems with constant Coefficients, Distinct roots, repeated roots, Complex roots. Operations Research 1. Modeling with Linear Programming: Two variable LP Model, Graphical LP solution, Selected LP Applications, Graphical Sensitivity analysis. 2. The Simplex Method: LP Model in equation form, Transition from graphical to algebraic solutions, the simplex method, Artificial starting solutions. Duality: Definition of the dual problem, Primal dual relationship. 3. Transportation Model: Definition of the Transportation model. The Transportation algorithm. 4. The Assignment Model: The Hungarian method, Simplex explanation of the Hungarian method. C Programming-I 1. Introductory Concepts: Introduction to computer. Computer Characteristics. Types of Programming Languages. Introduction to C. 2. C Fundamentals: The character set. Identifier and keywords. Data types. Constants. Variables and arrays. Declarations. Expressions. Statements. Symbolic constants. 3. Operators and Expressions: Arithmetic operators. Unary operators. Relational and Logical operators. Assignment operators. Conditional Operator. Library functions. 4. Data Input and Outputs: Preliminaries. Single character input-getchar() function. Single character outputputchar() function. Writing output data-printf function. Formatted input-output. Get and put functions. 5. Preparing and Running a Program: Planning and writing a C Program. Compiling and Executing the Program. 6. Control Statements: Preliminaries. The while statement. The do-while statement. The for statement. Nested loops. The if-else statement. The switch statements. The break statement. The continue statement. The comma operator. 7. Functions: A brief overview. Defining a function. Accessing a function. Passing arguments to a function. Specifying argument data types. Function prototypes ,Recursion. 8. Arrays: Defining an array. Processing an array. Passing arrays to a function. Multidimensional arrays. Arrays and strings. C programming II 1. Program Structures: Storage classes. Automatic variables. External variables, Static variables. 2. Pointers: Fundamentals. Pointer declarations. Passing pointer to a function. Pointer and one dimensional arrays. Dynamic memory allocation. Operations on pointers. Pointers and multidimensional arrays. Array of pointers. Pointer to function. Passing functions to other functions. More about pointer declarations. 3. Structures and Unions: Defining a structure. Processing a structure. Userdefined data types (typedef ). Structures and pointers. Passing structure to a function. Self-referential structures, Unions. 4. Data Files: Opening and closing a data file. Creating a data file. Processing a data file. Unformatted data files. 5. Low-Level Programming: Bitwise operators. Register variables. Enumerations. Macros. Command line arguments. The C processor. Lattice Theory 1. Ordered Sets a. Ordered sets. b. Examples from social science and computer science. c. Diagrams : the art of drawing ordered sets. d. Constructing and de-constructing ordered sets. e. Down-sets and up-sets. f. Maps between ordered sets. 2. Lattices and Complete Lattices a. Lattice as ordered sets. b. Lattices as algebraic structures. c. Sublattices, products and homomorphisms. d. Ideals and Filters. e. Complete lattices and Intersection-structures. f. Chain conditions and completeness. g. Join-irreducible elements. 3. Modular, distributive and Boolean Lattices a. Lattices satisfying additional identities. b. The characterization Theorems of Modular and Distributive lattices. c. Boolean lattices and Boolean algebras. d. Boolean terms and disjunctive normal form. Financial Mathematics 1. Mathematical models in economics Introduction, a model of the market, market equilibrium and excise tax. 2. The elements of finance and the cobweb model: Interest and capital growth, income generation, the interval of compounding, stability of market equilibrium, the general linear case and economic interpretation. 3. Introduction to optimization: Profit maximization, critical points, optimization in an interval and infinite intervals. 4. The derivative in economics: Elasticity of demand, profit maximization again, competition versus monopoly, the efficient small firm, startup and breakeven points. 5. Linear equations : Making money with matrices, a two-industry ‘economy’, arbitrage portfolios and state prices, IS-LM analysis. 6. The input-output model: An economy with many industries and the technology matrix. Number Theory 1. Divisibility : Divisibility in integers, Division Algorithm, GCD, LCM, Fundamental theorem of Arithmetic, Infinitude of primes, Mersenne Numbers and Fermat Numbers. 2. Congruences Properties of Congruences, Residue classes, complete and reduced residue system, their properties, Fermat’s theorem. Euler’s theorem, Wilson’s theorem, has a solution if and only if p = 2 or , where p is a prime. Linear Congruences of degree 1, Chinese remainder theorem. 3. Greatest integer function: Arithmetic functions Euler’s function, the number of divisors d(n), sum of divisors Ω . Multiplicative functions, function, inversion formula. 4. Quadratic Reciprocity: Quadratic residues, Legendre’s symbol. Its properties, Law of quadratic reciprocity. 5. Diophantine Equations : Diophantine Equations ax + by = c and Pythagorean triplets. Metric Spaces 1. Introductory Concepts Definition and examples of metric spaces, open spheres and closed spheres, neighbourhoods, open sets, equivalent Metrics, interior points, closed sets, limit points and isolated points, closure of a set, boundary points, distance between sets and diameter of a set, subspace of a metric space, product metric spaces. 2. Completeness Convergent sequences, Cauchy sequences, complete spaces, dense sets and nowhere dense sets (only definition) 3. Continuous Functions: Definition and characterizations, extension theorem, uniform continuity, homeomorphism 4. Compactness Compact spaces, sequential compactness, equivalence of compactness and sequential compactness, compactness and finite intersection property, continuous functions and compact spaces. 5. Connectedness Separated sets, disconnected and connected sets. Complex Analysis 1. Complex Numbers Sums and products, Basic algebraic properties, Further properties, Vectors and Moduli, Complex Conjugates, Exponential Form, Products and powers in exponential form, Arguments of products and quotients, Roots of complex numbers, Examples, Regions in the complex plane. 2. Analytic functions Functions of Complex Variables, Limits, Theorems on limits, Limits involving the point at infinity, Continuity, Derivatives, Differentiation formulas, Cauchy- Riemann Equations, Sufficient Conditions for differentiability, Polar coordinates, Analytic functions, Harmonic functions. 3. Elementary Functions The Exponential functions, The Logarithmic function, Branches and derivatives of logarithms, Some identities involving logarithms, Complex exponents, Trigonometric functions, Hyperbolic functions. 4. Integrals Derivatives of functions, Definite integrals of functions, Contours, Contour integral, Examples, Upper bounds for Moduli of contour integrals, Anti-derivatives, Examples, Cauchy-Groursat’s Theorem (without proof), Simply and multiply Collected domains. Cauchy integral formula, Derivatives of analytic functions. Liouville’s Theorem and Fundamental Theorem of Algebra. 5. Series Convergence of sequences and series, Taylor’s series, Laurent series (without proof), examples. 6. Residues and Poles Isolated singular points, Residues, Cauchy residue theorem, residue at infinity, types of isolated singular points, residues at poles, zeros of analytic functions, zeros and poles. Partial Differential Equations 1. Ordinary Differential Equations in More Than Two Variables (a) Surface and Curves in Three Dimensions (b) Simultaneous Differential Equations of the First Order and the First Degree in Three Variables. (c) Methods of solution of (d) Orthogonal Trajectories of a System of curves on a Surface. (e) Pfaffian Differential Forms and Equations. (f) Solution of Pfaffian Differential Equations in Three Variables 2. First Order Partial Differential Equations: (a) Genesis of First Order Partial Differential Equations. (b) Classification of Integrals. (c) Linear Equations of the First Order. (d) Pfaffian Differential Equations. (e ) Compatible Systems. (f) Charpit’s Method. (g) Jacobi’s Method. (h) Integral Surfaces through a given curve. (i) Quasi-Linear Equations. Optimization Techniques 1. Network Models CPM and PERT, Network representation, Critical Path Computations, Construction of the time schedule, Linear programming formulation of CPM, PERT calculations. 2. Decision Analysis and Games Decision under uncertainty, Game theory, Some basic terminologies, Optimal solution of two person zero sum game, Solution of mixed strategy games, graphical solution of games, linear programming solution of games. 3. Replacement and Maintenance Models Introduction, Types of failure, Replacement of items whose efficiency deteriorates with time. 4. Sequencing Problems Introduction, Notation, terminology and assumptions, processing n jobs through two machines, processing n jobs through three machines. 5. Classical Optimization Theory Unconstrained problems, Necessary and sufficient conditions, Newton Raphson method, Constrained problems, Equality constraints (Lagrangian Method Only). Graph Theory 1. An Introduction to Graphs The definition of a Graph, Graphs and Models, More Definitions, Vertex Degree, Sub graphs, Paths and Cycles, The Matrix Representation of Graphs, Fusion 2. Trees and Connectivity Definition and Simple Properties, Bridges, Spanning Trees, Connector Problems, Shortest Path Problems, Cut Vertices and Connectivity. 3. Euler Tours and Hamiltonian Cycles Euler Tours, The Chinese Postman Problem, Hamiltonian Graphs, The Travelling Salesman Problem. For school level math training please visit

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Segment: College Level
Subject: Mathematics
Course Fees: Ask Now
Duration: Ask Now

Area: Jayanagar

Pincode: 560041

Course Details:

Students who feel the need to hone their skills in Mathematics or remove the dread of the subject and score good marks should join our coaching programme and get hugely benefited.

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