INTRODUCTION
The Department of Mathematics was established in 2012 and started the first ever 4year undergraduate programme in the year 2013. The main objective of the department is to pursue excellence in education and research by developing appropriate curricula and teaching practices, acquiring talented and highly skilled academics by providing a conducive environment for learning, teaching and research. The department tries to educate its students by providing them exposure to reallife problems, and inculcate in them a problem solving approach. They will also be encouraged to explore and solve problems, to break new grounds and to cultivate leadership qualities. The department is disposed to organizing national and international conferences, seminars, workshops, symposia and training.
ENTRY REQUIREMENTS
For a candidate to be admitted into the four years undergraduate programme, he/she must have obtained five credit OLEVEL passes in Mathematics, Physics, English and any two of Chemistry, Biology, Geography, Economics. For the three years undergraduate programme, the candidate must have obtained three ALEVEL credit passes in Mathematics, Physics and any one of Chemistry, Biology, Economics and Geography. A Holders of NCE and National Diploma with the overall grade of credit may also be considered for admission.
REQUIREMENTS FOR GRADUATION
Bachelor of Science Degree programme in Mathematics is a four year/ 8 semester programme. Students will be required to carry out course work comprising of subjects from Mathematics, Computer Science, Physics and General Studies division. The minimum number of credit units for graduation is 141 and must also have a CGPA of at least 1.5.
PROFESSIONAL SKILLS
As a graduate of this department, you would have been exposed to the elegance of Mathematics as an intellectual discipline and its enormous power as a tool for solving scientific problems, and encouraged from a very early stage to take pride in presentation of your work. This course will help you produce logical arguments and express yourself precisely and to actively enjoy solving problems. These qualities will make you attractive to potential employers of labour.
CAREER OPPORTUNITIES
Our graduates go on to rewarding careers in areas as diverse as finance; teaching; mathematical and scientific research; industry; management and information technology.
ADVICE ON COURSES
A student shall normally be required to register for and pass a prescribed minimum number of units in each academic session. In addition, a student must register for, and pass General studies spread over the first, second and third academics sessions. These Courses are made available in a particular session and detailed in the Head of Departments office and Department notice boards as well as the University website.
All students have to consult their Level Registration Officer and get their registration forms signed by them before handing over the same to the Dean’s office or academic office.
Changes to Registration (Addition, Deletion and Withdrawal from Courses)
After registration, a student may add or delete courses provided this is done with the approval of the Faculty and with the consent of the Department. All course changes add and drop must be made on the special course change form which is obtainable from the office of the Dean or Academic office.
Late Registration
For reasons beyond his/her control, if a student is not able to appear during registration or send an authorized representative with a medical certificate, he/she may apply to the Dean of the Faculty or the Academic Secretary for late registration.
PROGRAMMES OF STUDY
The Department of Mathematics offers programme of courses leading to the degree of B.Sc. (Hons) in Mathematics and provides service courses to other departments in the Faculty of Science, and Education SCHEDULE OF
100 LEVEL COURSES
Course Code  Title  Units  Semester 
MTH 101  Elementary Mathematics I  3  1^{st} 
MTH 102  Elementary Mathematics II  3  2^{nd} 
MTH 103  Elementary Mathematics III  3  1^{st} 
STA 111  Probability I  4  1^{st} 
STA 112  Descriptive Statistics  3  2^{nd} 
CSC 101  Introduction to Computer Science  3  1^{st} 
PHY 101  General Physics I  3  1^{st} 
PHY 102  General Physics II  3  2^{nd} 
CHM 101  General Chemistry I  3  1^{st} 
CHM 102  General Chemistry II  3  2^{nd} 
GST 111  Communication in English I  2  1^{st} 
GST 112  Philosophy, Logic and Human Existence  2  2^{nd} 
GST 113  Use of Library, Study Skills and ICT  2  1^{st} 
GST 123
GST 124 
Communication in French
OR Communication in Arabic 
2
2 
2^{nd}
2^{nd} 
TOTAL CREDIT UNITS 39 
Elective: A minimum of 0 unit
STA 121  Basic Statistical Methods  3  1^{st} 
200 LEVEL COURSES
Course No.  Course Title  Units  Semester 
MTH 201  Mathematical Methods I  3  1^{st} 
MTH 202  Elementary Differential equations I  3  2^{nd} 
MTH 203  Sets, Logic and Algebra I  3  1^{st} 
MTH 204  Linear Algebra I  2  1^{st} 
MTH 205  Linear Algebra II  2  2^{nd} 
MTH 206  Real Analysis I  3  2^{nd} 
MTH 209  Introduction to Numerical Analysis  3  2^{nd} 
CSC 201  Computer Programming I  3  1^{st} 
CSC 202  Computer Programming II  3  2^{nd} 
STA 211  Probability II  4  1^{st} 
GST 211  History and Philosophy of Science  2  1^{st} 
GST 222  Peace Studies and Conflict Resolution  2  2^{nd} 
GST 223  Communication in English II  2  
GST 224  Nigerian Peoples and Culture  2  
TOTAL CREDIT UNITS 37 
Electives: A minimum of 0 unit and maximum of 4 units to be selected
Course No.  Course Title  Units  Semester 
STA 201  Statistics For Agriculture And Biological Sciences  4  1^{st} 
STA 202  Statistics for Physical Science & Engineering

4  2^{nd} 
300 LEVEL COURSES
Course No.  Course Title  Units  Semester 
MTH 301  Abstract Algebra I  3  1^{st} 
MTH 302  Metric Space Topology  3  2^{nd} 
MTH 303  Ordinary Differential Equations II  3  1^{st} 
MTH 304  Vector and Tensor Analysis  3  2^{nd} 
MTH 305  Complex Analysis I  3  1^{st} 
MTH 306  Complex Analysis II  3  2^{nd} 
MTH 307  Abstract Algebra II  3  2^{nd} 
MTH 308  Real Analysis II  3  1^{st} 
MTH 309  Introduction to Mathematical Modeling  3  1^{st} 
MTH 310  Discrete Mathematics  4  2^{nd} 
GST 311  Introduction to Entrepreneurial Skills  2  1^{st} 
GST 312  Introduction to Entrepreneurship Studies  2  2^{nd} 
TOTAL CREDITS UNITS 35 Units

Electives: A minimum of 0 units from the list below
MTH 311  Affine and Projective Geometry  3  1^{st} 
STA 311  Probability III  4  1^{st} 
STA 321  Distribution Theory  2  2^{nd} 
ST A 331  Statistical Inference II  4  1^{st} 
MTH 312  Optimization Theory  4  2^{nd} 
MTH 313  Geometry  3  1^{st} 
MTH 314  Analytical Dynamics I  3  2^{nd} 
MTH 315  Dynamics of a Ligid Body  3  1^{st} 
MTH 316  Introduction to operations Research  3  2^{nd} 
MTH 317  Differential Geometry  3  1^{st} 
MTH 318  Numerical Method I  2  1^{st} 
MTH 319  Numerical Method II  3  2^{nd} 
YEAR IV
400 LEVEL COURSES
Course No.  Course Title  Units  Semester 
MTH 401  Theory of Ordinary Differential Equations  3  1^{st} 
MTH 402  Theory of Partial Differential Equations  3  2^{nd} 
MTH 403  Functional Analysis  3  1^{st} 
MTH 404  General Topology  3  2^{nd} 
MTH 405  Lebesgue Measure and Integration  3  1^{st} 
MTH 406  Project Report  6  1^{st}& 2^{nd} 
MTH 407  Mathematical Method II  3  1^{st} 
MTH 412  Field Theory  3  2^{nd} 
MTH 415  System Theory  3  
MTH 419  Graph Theory  3  2^{nd} 
TOTAL CREDIT UNITS 30 
Electives: A minimum of 0 units and a maximum of 18 units from:
MTH 408  Quantum Mechanics I  3  2^{nd} 
MTH 409  General Relativity  3  1^{st} 
MTH 410  Electromagnetism  3  2^{nd} 
MTH 411  Analytical Dynamics II  3  1^{st} 
MTH 413  Fluid Dynamics  3  1^{st} 
MTH 414  Elasticity  3  2^{nd} 
MTH 415  Systems Theory  3  1^{st} 
MTH 416  Measure Theory  3  2^{nd} 
MTH 417  Groups and their representatives  3  1^{st} 
MTH 418  Groups and their Characters  3  2^{nd} 
MTH 420  Combinatorial Geometries  3  2^{nd} 
MTH 421  Ring Theory  3  1^{st} 
MTH 422  Boolean Algebra  3  2^{nd} 
MTH 423  Lattice Theory  3  1^{st} 
MTH 424  Number Theory  3  2^{nd} 
MTH 425  Module Theory  3  1^{st} 
MTH 426  Catastrophe Theory  3  2^{nd} 
MTH 427  Set Theory  3  1^{st} 
MTH 428  Functional Analysis II  3  2^{nd} 
STA 411  Probability IV  4  1^{st} 
STA 412  Stochastic Processes  4  2^{nd} 
STA 424  Game Theory  4  2^{nd} 
COURSE DESCRIPTION
MTH 101 ELEMENTARY MATHEMATIC I: (3 Units)
Elementary set theory, subsets, union, intersection, complements, and Venn diagrams. Real numbers, integers, rational and irrational numbers, mathematical induction I, real sequences and series, theory of quadratic equations, binomial theorem. Complex numbers; algebra of complex numbers; the Argand Diagram, De Moivre’s theorem, nth roots of unity; Circular measure, trigonometric functions of angles of any magnitude, addition and factor formalae.
MTH 102 ELEMENTARY MATHEMATICS II: (3 Units)
Geometric representation of vectors in 13 dimensions, components, direction cosines; Addition and Scalar multiplication of vectors, linear independence; Scalar and vector products of two vectors, differentiation and integration of vectors with respect to a scalar variable; Twodimensional coordinate particles; Components of velocity and acceleration of a particle moving in a plane; Force, momentum; Impact of two smooth spheres, and of a sphere on a smooth sphere.
MTH 103 ELEMENTARY MATHEMATICS III: (3 Units)
Prerequisite MTH 101
Function of a real variable, graphs, limits and idea of continuity; The derivative, as limit of rate of change; Techniques of differentiation; Extreme curve sketching; Integration as an inverse of differentiation. Methods of integration;Definite integrals; Application to areas, volumes; Twodimensional coordinate geometry. Straight lines, circles, parabola, ellipse, hyperbola Tangents and normal
STA 111: Probability I : 4 Units
Generation of statistical events from settheory and combinatorial methods; Elementary principles of probability; Types and distributions of random variables; the binomial, Poison, hypergeometric, normal and exponential distributions; Expectations and moments of random variables; probability sampling from tables of random numbers; selected application/practical.
STA 112: Descriptive Statistics: 3 Units
Basic statistical concepts; Statistical data: Types, sources, methods of collection, classification, presentation and interpretation of statistical data. Frequency distribution, Measures of location, partition, dispersion, skewness and kurtosis; Moments and Sheppard’s correction. Error and Approximation, Rates, ratios and index numbers .Applications/Practical
STA 121: Basic Statistical Methods: 3 Units
Population and sample, sampling distribution, Estimation (point and interval) and tests of hypothesis concerning population mean and proportion; Elementary time series, demographic measures; Design of experiments; Analysis of variance and covariance; Simple regression and correlation; Contingency tables; Some nonParametric tests; Applications/practical.
200 LEVEL COURSES
MTH 201MATHEMATICAL METHODS 1: (3 Units) (L30: P 0: T 1)
Prerequisite –MTH 101, 103.
Realvalued functions of a real variable; Review of differentiation and integration and their applications; Mean value theorem; Taylor series; Realvalued functions of two or more variables; Partial derivatives; Chain rule, Extreme, langranges multipliers; Increments, differentials and linear approximations; Evaluation of line, integrals; Multiple integrals.
MTH 202: ELEMENTARY DIFFERENTIAL EQUATIONS I: (3 Units)
First order ordinary differential equations, existence and uniqueness, second order ordinary differential equations with constant coefficients, Laplace transforms, Solutions of initialvalue problem by Laplace transform method, Simple treatment of partial differential equations in two independent variables with Applications, Finite linear difference equations, Application to geometry and physics. PrerequisiteMTH 103
MTH 203: SETS, LOGIC AND ALGEBRA I: (3 Units)
Prerequisite MTH 101
Introduction to the language and concepts of modern Mathematics, Topics include; Basic set theory; mappings; relations; equivalence and other relations; Cartesian products, Binary logic, methods of proof, Binary operations, Algebraic structures, semi groups, rings, integral domains, fields. Homeomaphics, Number systems, properties of integers rationals, real and complex numbers.
MTH 204: LINEAR ALGEBRA I: (2 Units)
Prerequisite MTH 101,102
Vector space over the real field, Subspaces, linear independence, basis and dimension, Linear transformations and their representation by matrices – range, null space, rank, Singular and nonsingular transformation and matrices, Algebra of matrices.
MTH 205: LINEAR ALGEBRA II: (2 Units)
Prerequisite MTH 101, 102. Corequisite MTH 203, 204.
Systems of linear equation change of basis, equivalence and similarity. Eigenvalues and eigenvectors. Minimum and characteristic polynomials of a linear transformation (Matrix). Caley–Hamilton theorem. Bilinear and quadratic forms, orthogonal diagonalisation. Canonical forms.
MTH 206: REAL ANALYSIS I: (3 Units)
Prerequisite MTH 101, 103
Bounds of real numbers, convergence of sequence of numbers, Monotone sequences, the theorem of nested Intervals, Cauchy sequences, tests for convergence of series, Absolute and conditional convergence of series and rearrangement, Completeness of reals and incompleteness of rationals, Continuity/and differentiability of functions from R to R. Rolles’s and Mean value theorems for differentiable functions, Taylor series.
MTH 209: INTRODUCTION TO NUMERICAL ANALYSIS: (3 Units)
Prerequisite MTH 101, 103
Solution of algebraic and transcedental equations, Curve fitting, Error analysis, Interpolation and approximation, Eros of non linear equations ‘to one variable’, Systems of linear equations, Numerical differentiation and integration, Initial value problems for ordinary differential equation.
STA 201: Statistics For Agriculture And Biological Sciences: 4 (Units)
Use of statistical methods in biology and agriculture, Frequency distributions, measure of location, partition and dispersion, Elements of probability, laws of probability; The binomial, Poisson, geometric, hypergometric, negative binomial and normal distributions, Estimation (point and interval) and tests of hypothesis, Design of simple agricultural and biological experiments; Analysis of variance; Simple regression and correlation; Contingency tables; Some nonparametric tests; Prerequisite: O’ level pass in Mathematics.
STA 202: Statistics For Physical Sciences And Engineering: (4 Units)
Use of statistical methods in physical sciences and engineering, Measure of location, partition and dispersion in ungrouped and grouped data, Elements of probability and probability distributions: Normal, binomial, Poisson, geometric, hypergeometric, negative binomial distributions. Estimations and tests of hypothesis concerning the parameters of distributions, Regression, correlation and analysis of variance, Contingency tables Nonparametric inference, Introduction to design of experiment. Analysis of variance, Prerequisites: O’ level pass in Mathematics.
STA 211: Probability II: (4 Units)
Further combinatorial analysis, Probability laws, conditional probability, Independence, Baye’s theorem, Probability of discrete and continuous random variables: binomial, Poisson, geometric, hypergeometric, rectangular (uniform), normal, and exponential, Expectations and moments of random variables,Bayes’ Theorem. Chebyshev’s inequality, Joint Bivariate, marginal and conditional distributions, The Chebyshev’s limit theorem, and its issues, Limiting distribution and moments. Prerequisites: STA 111 and MAT 101 or equivalent.
MTH 301: ABSTRACT ALGEBRA I: (3 Units)
Prerequisite MTH 101, 203, 206
Group: definition, examples including permutation groups, Subgroups, Cosets Langranges theorem and applications, Algebraic structures, semi groups, rings, integral domain, fields, Number systems: properties of integers, rational, real and complex numbers, Cyclic groups, Rings: definition examples including Z, Zn, rings of polynomials and matrices. Integral domains, fields, Polynomial rings, factorization, Euclidean algorithm for polynomials H.C.F. and L.C.M. of polynomials.
MTH 302: METRIC SPACE TOPOLOGY: (3 Units)
Review of Set theory, Metricspaces and examples, Open spheres (or balls), Open sets and neighbourhoods, Closed sets, Interior, exterior, frontier, limit points and closure of a set, Dense subsets and separable space, Convergence in metric space, Homeomorphisms, Continuity and compactness, connectedness. Prerequisite MTH 206.
MTH 303: ELEMENTARY DIFFERENTIAL EQUATIONS II: (3Units)
Prerequisite. MTH 202.
Series solutions of second order linear equations, Bessel, Legendre and hypergeometric equations and functions. Gamma and Beta functions, SturmLiouvelle problem.Orthogonal polynomials and functions, Fourier, FourierBessel and FourierLegendre Series, Fourier transformation, Solution of C.L Laplace, Wave and heat equations by Fourier method
MTH 304 VECTOR AND TENSOR ANALYSIS: (3 Units)
Prerequisite MTH 201, 204
Vector algebra, Vector, dot and cross Products, Equating of curves and surfaces, Vector differentiation and applications, Gradient, divergence and curl.Line,surface and volume integrals Green’s Stoke’s and divergence theorems, Tensor products of vector spaces, Tensor algebra, Symmetry, Cartesiantensors.
MTH 305: COMPLEX ANALYSIS I: (3 Units)
Prerequisite MTH 203, 207
Functions of a complex variable; Limits and continuity of functions of a complex variable; Derivation of the CauchyRiemann equations; Analytic functions; Bilinear transformations, conformal mapping.
MTH 306: COMPLEX ANALYSIS II (3Units)
Prerequisite MTH 203, 207
Contour integralsCauchy’s theorems and its main consequences; Convergence of sequences and series of functions of a complex variable; Power series; Tailor series; Laurent expansions; Isolated singularities and residues; Residue theorem Calculus of residue, and application to evaluation of integrals and to summation of series; Maximum Modulus principle; Argument principle; Rouche’s theorem; The fundamental theorem of algebra; Principle of analytic continuation; Multiple valued functions and Riemann surfaces.
MTH 307: ABSTRACT ALGEBRA II: (3 Units)
Prerequisite MTH 203, 206
Normal subgroups and quotient groups; Monomorphic isomorphism theorems; Cayley’s theorems; Direct products; Groups of small order; Group acting on sets; Sylow theorems; Ideal and quotient rings. P.I.D. 8, U.F.D ’S euclides rings; Irreducibility; Field extensions, degree of an extension, minimum polynomial; Algebraic and transcendental extensions; Straight edged and compass constructions.
MTH 308: REAL ANALYSIS II: (3 Units)
Prerequisite MTH 206
Riemann integral of functions from R to R, continuous monopositive functions; Functions of bounded variation; The Riemann Strielties integral; Point wise and uniform convergence of sequences and series of functions from R to R; Effects on limits (sums) when the functions are continuous differentiable or Riemann integrable; Power series.
MTH 309: INTRODUCTION TO MATHEMATICAL MODELLING: (3 Units)
Prerequisite MTH 201, 202, 204 (L 30: P 0: T 15)
Corequisite MTH 302, 303
Methodology of model building; Identification, formulation and solution of problems, causeeffect diagrams; Equation types; Algebraic, ordinary differential, partial differential, difference, integral and functional equations.
MTH 310: DISCRETE MATHEMATICS: (4 Units)
Groups and subgroups; Group Axioms, Permutation Group, Cosets, Graphs; Directed and undirected graphs, subgraphs, cycles, connectivity, Application (flow Charts) and state transition graphs; lattices and Boolean Algebra, Finite fields: Mini polynomials. Irreducible polynomials, polynomial roots, Application (errorcorrecting codes, sequences generators). MTH 201, 202, 203
MTH 311: Affine and Projective Geometry (3 Units)
Linear groups; affine transformations; symmetry; congruence; isometry. Convex hulls; Helly type theorems; separability; support lines, tangents, extreme points; properties of polyhedral; Projective spaces over a field. Desargues’ Theorem. Prerequisite MTH 204,205
MTH 312: OPTIMIZATION THEORY: (4 Units)
Linear programming models. The simplex Method: formulation and theory. Quality integer programming; Transportation problem. Twoperson zerosum games. Nonlinear programming: quadratic programming Kuhntucker methods. Optimality criteria. Simple variable optimization. Multivariable techniques. Gradient methods. MTH 201, 202, 302, 303.
MTH 313: GEOMETRY: (4 Units)
Coordinate in R. Polar coordinates; Distances between points, surfaces and curve in space. The plane and the straight line. Basic projective Geometry, Affine and Eucidean Geometries.
Prerequisite MTH 204
MTH 314: ANALYTICAL DYNAMICS: (3 Units)
Degrees of freedom. Holonomic and holonomic constraints. Generalized coordinates lagrange’s equations for Holonomic systems; face dependent on coordinates only, force obtainable from a potential. Impulsive force. Prerequisite MTH 204
MTH 315: DYNAMICS OF A RIGID BODY: (3 Units)
General motions of a rigid body as a translation plus a rotation; Moment and products of inertia in three dimensions; Parallel and perpendicular axes theorems; Principal axes, Angular momentum, kinetic energy of a rigid body; Impulsive motion. Examples involving one and two dimensional motion of simple systems; Moving frames of references; rotating and translating frames of reference; Coriols force; Motion near the Earth’s Surface; The Foucault’s pendulum; Euler’s dynamical equations for motion of a rigid body with one point fixed; The symmetrical top; Procession.
Prerequisite MTH 201,202.
MTH 316: INTRODUCTION TO OPERATIONS RESEARCH: (3 Units)
Phases of operation Research Study; Classification of operation Research models, linear; Dynamic and integer programming; Decision Theory; Inventory Models, Critical Path Analysis and project Controls. Prerequisite – MTH 204, STA 211
MTH 317: DIFFERENTIAL GEOMETRY: (3 Units)
Vector functions of a real variable; Soundedness; Limits; Continuity and differentiability; Functions of Class C; Taylor’s Formulae; Analytic functions; Curves: regular, differentiable and smooth; Curvature and torsion;Tangent line and normal plans Vector: Functions of Vector Variable: Linear continuity and limits. Directional functions of Class C. Taylor’s theorem and inverse function theorem; Concept of a surface; parametric representation, tangent plane and normal lines; Topological properties of simple surfaces. MTH 313.
MTH 318: NUMERICAL ANALYSIS I 🙁 2 Units)
Floating – point arithmetic; Use of mathematical subroutine packages; Interpolation; Approximation; Numerical Integration and Differentiation; Solution of nonlinear equations; Solution of Ordinary differential equations.
MTH 319: NUMERICAL METHODS II (2 Units)
Floating point arithmetic; Use of mathematical subroutine packages; error analysis and norms; alternative methods, computation of eigenvalues and eigenvectors, related topics; numerical solution of boundary value problems for differential equations, solution of nonlinear systems of algebraic equations; leastsquares of over determined systems.
STA 311: Probability III : ( 4 Units)
Brief revision of basic concepts, Probability generating function for Bernnoulli, Binomial, poisson, Hypergeometric, negative binomial, and multinomial distributions, Univariate and bivariate moment generating functions, Urn models, Sampling with and without replacement, Inclusionexclusion theorem, Allocation and matching problems, Univariate characteristic functions, Various modes of convergence, Law of large numbers and the central limit theorem using characteristic functions, Random walk and Markov chains, Introduction to Poisson Processes.
Prerequisite: STA 211.
STA 321: Demography: 2(2L, 0p) Units
Demographic data: Types and Sources, Life table: Construction and applications, Definition of basic concepts, Estimation of Population parameters from defective data, Stable and quasistable population, population projections. Prerequisite: STA 212.
STA 331: Statistical Inference III: ( 4 Units)
Criteria of estimation: consistency, unbiasedness, efficiency, minimum variance and sufficiency, Methods of estimation: maximum likehood, least squares and method of moments, Confidence intervals, Simple and composite hypotheses, Likehood ratio test. Inferences about means and variance, RaoCramer inequality, consistency, efficiency, best asymptotic normality, GaussMarkov and FisherCochran theorems, Test of hypothesis, NeymanPearson theorem. Prerequisite: STA 212.
400 LEVEL COURSES
MTH 401: THEORY OF ORDINARY DIFFERENTIAL EQUATIONS ( 3 Units)
Differential equations: existence and uniqueness theorems, Linear system of equations, Floquet’s theory, Stability theory, Classification of integral equations volterra and fredholmequations, Equations with Hermitian kernels, HilbertSchmidt theorem and consequences. Representation formulae for the solution of initial and boundary value problems, Green’s functions Applications. Prerequisite MTH 303
MTH 402: THEORY OF PARTIAL DIFFERENTIAL EQUATIONS ( 3 Units)
Theory and solutions of firstorder and second order linear equations; Properties of partial differential equations and techniques for their solution; Fourier methods; Green’s functions; Integral transform methods; Variational techniques and complex variable methods; Perturbation theory; Applications. Prerequisite MTH 303
MTH 403: FUNCTION ANALYSIS 3 Units
Introduction to the theory of normed spaces; Banach spaces; Hilbert Spaces; bounded linear functionals, operator on Banach spaces Spectral theory of operations on Hilbert spaces. PrerequisiteMTH 302
MTH 404: GENERAL TOPOLOGY: (3 Units) Topological spaces, definition, open and closed sets neighbourhoods; Coarser, and finer topologies; Basis and sub bases; Separation axioms, compactness, local compactness, connectedness; Construction of new topological spaces from given ones; Subspaces, quotient spaces. Continuous functions, homeomorphism, topological invariants, spaces of continuous functions: Point wise and uniform convergence. Prerequisite MTH302
MTH 405: LEBESGUE MEASURE AND INTEGRALS (3 Units)
Lebesgue measure; measurable and nonmeasurable sets; Measurable functions. Lebesgue integral: Integration of nonnegative functions, the general integral convergence theorems. PrerequisiteMTH 308
MTH 406: PROJECT: (6 Units)
This research project is aimed at introducing and exposing the student to the methodology of conducting research in an area of mathematical interest, The student, with guidance of a staff member, select a topic of interest and thereafter seeks the approval of the Department; At least one seminar will be given by the student in connection with the project.
MTH 407: MATHEMATICAL METHODS II: (3 Units)
Calculus of variation: Lagrange’s functional and associated density. Necessary condition for a weak relative extremum; Hamilton’s principles; Lagrenge’s equations and geodesic problems; The DU BoisRaymond equation and corner conditions;Variable endpoints and related theorems. Sufficient conditions for a minimum Isopherimetric problems. Variational integral transforms. Laplace, Fourier and Hankel transforms; Complex variable methods convolution theorems; Application to solution of differential equations. PrerequisiteMTH – 303, 305.
MTH 408: QUANTUM MECHANICS: (3 Units)
Particle wave duality.Quantum postulates.Schroedinger equation of motion. Potential steps and wells in 1dim Heisenlberg formulation. Classical limit of Quantum mechanics. Computer brackets. Linear harmonic oscillators. Angular momentum. 3dim square well potential. The hydrogen atom collision in 3 dim. Approximation methods for stationary problems.
Prerequisite MTH 303, 314
MTH 409: GENERAL RELATIVITY: (3 Units)
Particles in a gravitational field: Curvilinear coordinates, intervals; Covariant differentiations; Christofell symbol and metric tensor; the constant gravitational field; Rotation; The Curvature tensor. Theaction functions for the gravitational field. The energy momentum tensor; Newton’s law; Motion in a centrally gravitational field; The energy moment pseudotensor; Gravitational waves; Gravitational fields at large distances from bodies; Isotropic space; Spacetime metric in the closed and in the open isotropic models. The re shift.
Prerequisite MTH 302, 314.
MTH 410: ELECTROMAGNETISM: (3 Units)
Maxwell’s field equations; Electromagnetic waves and Electromagnetic theory of lights. Plane electromagnetic waves in non conducting media, reflection and refraction at place boundary. Waves guides and resonant cavities. Simple radiating systems. The LorentzEinstein transformation. Energy and momentum. Electromagnetic 4vectors. Transformation of (E.H.) fields. The Lorentz force.
Prerequisite MTH 302. 303, 314
MTH 411: ANALYTICAL DYNAMICS II: (3 Units)
Lagrange’s equations for nonholonomic systems. Lagrangian multipliers. Variational principles: Calculus of variation, Hamilton’s principle. Lagrange’s equation from Hamilton’s Principles. Canonical transformations. Normal equations. PrerequisiteMTH 302. 303, 314
MTH 412: FIELD THEORY: (3 Units)
Gradient, divergence and curl: Further treatment and application of the differential definitions. The integral definition of gradient, divergence and curl: Line, surface and volume integrals: Green’s Gauss’ and Stoke’s theorems. Curvilinear coordinates. Simple motion of tensors. The use tensor of notation.
Prerequisite. MTH 304.
MTH 413: FLUID DYNAMICS; (3 Units)
Real and Ideal fluids. Differentiation following the motion of fluid particles. Equations of motion and continuity for incompressible solid fluids. Velocity potentials and Stoke’s Stream functions. Bernoulli’s equation with application to flow along curved paths. Kinetic energy. Sources, sinks, doubles in 2and3dimensions, limiting streamlines. Images and rigid planes.
PrerequisiteMTH 314.
MTH 414: ELASTICITY: (3 Units)
Particle gravitational field: Curvilinear coordinates, intervals. Covariant differentiation. Christffel symbol and metric tensor. The constant gravitational field. Rotation.
Prerequisite MTH 302, 303, 314
MTH 415: SYSTEM THEORY: (3 Units)
Lyapunov’s Theorems. Solution of Lyapunov stability equation ATP PA – Q. Controllability and observability. Theorem on existence of solution of linear systems of differential operations with constant coefficients.
Prerequisite MTH 302
MTH 416: MEASURE THEORY: (4Units)
Abstract integration, Borel measures, LPSpaces. Elementary Hilbert space theory.
PrerequisiteMTH 403
MTH 417: GROUP AND THEIR REPRESENTATIONS (3 Units)
Elements of group theory. Symmetric groups. Unitary vector spaces. Linear operators and their matrix representations. Invariance of functions and operators. Classification of eigen functions. Reducubility. Schur’s lemmas. General orthogonal relation. Kroneker product and adjoint representations.
Prerequisite MTH 301, 307
MTH 418: GROUP AND THEIR CHARACTERS (3 Units)
Group representation. Elementary properties of group characters. Induced characters. Permutation groups. Arithmetic properties of group characters. Real representations.
Prerequisite MTH 306
MTH 419: GRAPH THEORY (3 Units)
Graphs and subgraphs. Trees. Conncetivity. Traversability. Matching. Edge colouring. Independent sets and cliques. Vertex colouring and chromatics polynomials. Planar graphs. Directory graphs. Hyper graphs.
Prerequisite MTH 312
MTH 420: COMBINATORIAL GEOMETRICS (3 Units)
Independent sets. Circuits. Bases. Flats and hyperplanes. Rank function. Closure operator. Graphic matroids. Transversal matroids. Duality. Representability of matroids. Excluded minor theorems. Union of matroids. PrerequisiteMTH 309, 316
MTH 421: RING THEORY (3 Units)
Centre and normalizer of a ring. Nilpotent ideals. Maximal and minimal ideals. Sums and products of ideals. Rings of fractions. Noetherian and Arthinian rings. PrerequisiteMTH 301, 307
MTH 422: BOOLEAN ALGEBRA (3 Units)
Definitions and properties of Boolean algebra. Boolean homomorphism. Filter and ideals. Types of Boolean algebra. Stone representation theorem. Axioms. Duality for ideals. Duality for homomorphism.
Prerequisite MTH 303, 306
MTH 423: LATTICE THEORY (3 Units)
Partial ordered sets. Ordinal numbers. Complete lattices. Definition and properties of lattices. Latticemorphisms. Free lattices. Modilar lattices. Distributive lattices.
Prerequisite MTH 301, 306
MTH 424: NUMBER THEORY (3 Units)
Divisibility. Congruences. Quadratic reciprocity. Diophantine equations. Arithmetical functions.
Prerequisite MTH 301
MTH 425: MODULE THEORY (3 Units)
Modules and submodules. Modules homomorphism. Sums and products of modules of fractions and vector spaces. Quotient modules. Graded modules of fractions. Noetherian modules.
Prerequisite MTH 301, 306
MTH 426: CATASTROPHE’S THEORY (3 Units)
Smooth and sudden changes. Multidimensional geometry and calculus. Thorm’s theorem. Determinancy. Codimension. Classification. The preparation theorem. Unfieldings Catastrophe Germs.
PrerequisiteMTH 303
MTH 427: SET THEORY (3 Units)
Axioms of set theory. Operations on sets. Ordinal and cardinal numbers, wellorderings, transfinites induction and recursion. Consequences of the axiom of choice. Boolean algebras. Cardinal arithmetics. Linear orderings and trees. Infinite combinatorics and partition calculus. Descriptive set theory. Stationary sets.
Prerequisite MTH 300
MTH 428: FUNCTIONAL ANALYSIS II (3 Units)
Convex sets and hyper planes in vector spaces. Linear and sub linear functionals. Separation theorems. Topological vector spaces. Locally convex topological spaces. Dual spaces. Weak topologies.
Prerequisite MTH 403
STA 411 Probability IV 4 Units
Probability spaces, measures and distribution. Distribution of random variables as measurable functions. Product spaces; product of measurable spaces, product probabilities. Independence and expectation of random variables. Convergence almost everywhere, convergence in path mean. Control limit theorem. Laws of large number. Characteristics function and Laplace transforms. Prerequisite STA 311 Corequisite MAT 405.
STA 412 Stochastic Processes 4 Units
Generating functions: tail probabilities and convolutions. Recurrent events. Simple and general random walk with absorbing and reflecting barriers. Gambler’s ruin problem. Theory of Markov chains. Continuous time Markov processes and finite chains. Limit theorem. Poisson, branching, birth and death processes. Introduction to Queuing NEWR, Queuing processes; M/M/1, M/M/S, M/G1 queues and their waiting time distributions. Relevant applications. Prerequisites: STA 311 and STA 312.
STA 424 Game Theory: 4 Units
Extensive forms and pure strategies. Normal forms and saddle point. Mixed strategies and minimax theorem. Dominance of strategies. Matrix games. Noncooperative games.Cooperative games. Linear programming and matrix games. Applications. Prerequisites: STA 324, STA 326.
EXAMINATION REGULATION
i.A student shall be at the examination hall at least ten minutes before the time of the Examination. Each student is also required to supply his/her own pen, pencils, rulers etc.
ii A student may be admitted up to forty five minutes after the start of the examination but he shall not be allowed extra time.
iii. If a student arrives later than forty five minutes (45 minutes) after the start of the examination, an invigilator may at his/her discretion admit him if he is satisfied that the student had good reason for his/her lateness. The invigilator shall report the circumstances to the faculty examination officer who shall advise the board of examiners, which shall decide whether to accept the student’s paper.
iv. A student may be permitted by an invigilator to leave the examination room during the course of an examination provided that:
 No student shall normally be allowed to leave during the first hour or last fifteen minutes of examinations.
 A student must handover his/her script to the invigilator before leaving the examination hall.
v. A student who leaves the examination room shall not be readmitted unless throughout the period of his/her absence he has been continually under the supervision of an invigilator or assistant invigilator.
vi A student shall bring his/her examination card and identity card to each examination and display them in prominent position on his/her desk.
vii. Each student shall complete an attendance form with his/her number, name and signature, which shall be collected by the invigilator of each examination.
Viii. During an examination, no student shall speak to any other student, or accept as essential, to the invigilator, or make any noise or disturbance.
ix. No book, printed paper, or written document or unauthorized aid may be taken in to the examination room by any student, except as may be stated in the rubrics of any examination paper.
x. A student must not doing an examination directly or indirectly give assistance to any other student or permit any other student to copy from or otherwise use his/her papers. Similarly, a student must not directly accept assistance from any other student or use any other student’s paper.
xi. If any student is suspected or found to be infringing any of the provisions by way of cheating or disturbing the conduct of the examination, the student shall be subjected to fill Examination Malpractice form and should be clearly stated the misconduct.
xii. A student shall write his/her examination number, not his/her name, directly at the top of the cover of every answer booklet or separate sheet of paper.
xiii. The use of scrap paper is not permitted. All rough work must be done in answer booklet and crossed neatly, or in supplementary answer books which must be submitted to the invigilator. Except for the printed quest paper, a student may not remove from the examination hall/room or mutilate any paper or other material supplied.
xiv. At the end of the time allowed, each student shall stop writing when instructed to do so and shall gather his/her script together in order for collection by the invigilator.
CATEGORIES OF PUNISHMENT FOR EXAMINATION MALPRACTICE
The following offences shall carry the punishment of rustification/expulsion:
1. Impersonation at examination. This may involve the exchange of examination numbers or names on answer sheets or the intentional use of someone’s examination number.
2. Introduction of relevant foreign materials and cheat notes into the examination hall.
3. Exchange of relevant materials in examination hall which may involve
(a) The exchange of question paper containing relevant looting materials or
(b) Collaborating/Copying from each other or
(c) Exchange of answer script.
4. Theft/removal of examination script or materials.
5. Mischief by fire to examination script or materials.
6. Copying from cheat notes.
7. Consulting cheat notes outside the examination hall.
8 . facilitating/abetting cheating.
RUSTICATION FOR ONE ACADEMIC YEAR
The following offences shall carry the punishment of rustication for one session.
 Nonsubmission or incomplete submission of answer script.
 Introduction of foreign materials to the examination hall.
 Nonappearance at the Examination Malpractice Committee (EMC).
After first warning, the student should be rusticassted for one year.
MODE OF EXAMINATION
The Department’s total score for examination is 100 marks. It is divided in to two. First is the Continuous Assessment (CA) which carries 30 marks and second is the examination which also carries 70 marks.
GRADING SYSTEM
The Department adopted the following as its grading system which is in line with National University Commission’s (NUC) BMAS.
Marks  Grade 
70100  A 
6069  B 
5059  C 
4549  D 
044  F 
assigned to that course, and then summing these up and dividing by the total number of Credit Units taken for the semester.
GPA = [endif]–>
iii. Cumulative Grade Point Average (CGPA)
This is the uptodate mean of the Grade Points earned by the student in a programme of study. It is an indication of the student’s overall performance at any point in the training programme. Cumulative Grade Point Average is calculated by adding the weighed Grade Points obtained in all the courses offered up to the end of a given session (and/or up to a point in a student’s programme or end of the programme) and then divided the sum of the total number of Credit Units of all courses registered by the student at that point.
The session GPA is based on the courses taken in a single session while the Cumulative GPA takes into account all courses taken for degree credit in the University. Both the session and Cumulative GPA are used at the end of each session in assessing academic stand (performance) and in determining the rate of progress toward the degree.
CLASSIFICATION OF DEGREE
To qualify for a Bachelor’s degree, a student must obtain a minimum of credit units for each level of study (Core and elective courses) and the total units required for his/her programme as well as the credit Unit for General Studies Courses. The degree is awarded on the basis of the students CGPA at the end of his/her degree programme as follows:
CGPA Class of Degree
The Department has adopted the NUC BMAS for class of degree which is as follows:
4.50  5.00  First Class Honours 
3.50  4.49  Second Class Honours (Upper Division) 
2.40  3.49  Second Class Honours (Lower Division) 
1.50  2.39  Third Class Honours 
0.00  1.49  Fail 
PROBATION AND WITHDRAWAL
1. In order for a student to continue to pursue his/her degree programme in the University, the student must attain the minimum Cumulative Grade Point Average (CGPA) of 1.50 at the end of each session. Failure to do so will result in his/her being placed on Academic Probation (Warning period) during the subsequent session. If at the end of the session during which the student is on probation, his/her CGPA still falls below the stipulated minimum (i.e. CGPA falls below 1.50), then such a student shall incur Withdrawal from a Faculty.
However, in order to minimize waste of human resources, a student so withdrawn for poor academic performance in one programme may be considered for transfer to another programme on application if his CGPA is up to 1.0, if the University is convinced that he/she stands a chance in other programmes. Application forms for such transfer are available in the Academic Secretary’s office.
2. A student who has spent the maximum number of years for his programme and has not graduated will be asked to withdraw from the University.
3. A student who absents himself/herself for one semester without a valid reason shall be asked to withdraw from the University, irrespective of his/her CGPA.
SPILL OVER
Subject to the condition for withdrawal and probation, students who are unable to pass all their courses at the end of their approved period study are allowed to carryover such courses “First spillover”. All grades scored in that session shall be fully credited to the student and scored against the class of degree awarded. In other word, if such students are able to clear (pass) the course at the end of the first spillover, they are credited with the class of degree obtained.
Failure in any course at the end of the first spillover session, leads the student into a second academic session as “Second Spillover”, until the student is able to pass all his registered courses
GRADUATING WITH AN “F” GRADE IN A COURSE
Generally, the University expects student to pass all registered courses as a prelude to graduation. However, in exceptional circumstances, they may apply to graduate with an “F” grade in a particular course. Such students are expected to meet the minimum requirements for graduation in terms of credit units at different levels.
The application is made through the students Head of Department and Faculty to the Registrar, provided the course is not a core course or prescribed elective.
COLLECTION OF EXAMINATION RESULTS SLIPS
Students are advised to always collect their MIS grade slip online or from the Head of Department at the beginning of every session. A student may also request in writing to the Dean of the faculty for his/her result slip or semester grade sheet if the need arises. Students shall report immediately to the Head of Departments or the Dean through examinations Officer for any discrepancies in the grade given to them.
DURATION OF DEGREE PROGRAMMES
The minimum number of years to be spent to be awarded a first degree in Mathematics Programme shall be Eight (8) semesters or four sessions (for student entering at 100 level) and shall not exceed Twelve semesters or Six Sessions.
PROJECT REPORT FORMAT/STRUCTURE
In order to provide uniformity for the presentation of undergraduate student projects in the department, the project report is likely to follow this broad structure, but your chapter’s subheadings will reflect the individuality of your own project. Your report needs to be presented in the following format:
1. Cover Title Page
2. Title Page
3. Certification
4. Dedication
5. Acknowledgements
6. Table of Contents
7. Abstract
 Approximately 200 words. This is a summary of what the project is about and the outcome of your work.
8. Chapter One: Introduction
 Clearly described the background, research problems, research aim and objectives, motivation, scope and limitation of the study.
9. Chapter Two: Literature Review
 The review should be well integrated and comprise relevant and current published knowledge on the study; Critical review of the tools and techniques related to the study; Use of specific evidence and citation in accordance to the proper format.
10. Chapter Three: Methodology/System Analysis and Design
 Clear description of the method (s) adopted; Justification of choice of method(s); the process by which the data were generated, gathered and recorded should be clearly stated. It may also include the detailed analysis and design of the current system under study.
11. Chapter Four: Analysis and Discussion/System Implementation and Testing
 Correct Interpretation of the Results; understanding the results’ practical implication; Critical Analysis and detail explanations of evidences should be well presented. It may also include the detailed implementation and evaluation of the overall system under study.
12. References
 If you have cited evidence in the main body of your report, this must be referenced in an identifiable referencing style. The Harvard or A.P.A (American Psychological Association) referencing style must be adopted.
13. Appendix (Appendices)
 You can include any other information in the appendices, if relevant.
NB: other details include:
Paper size: A4
Type Setting: Times New Roman font should be used throughout the document in size 12 1.5 Line Spacing OR in size 14 Double Line Spacing. The left margin of your document must be at least one and onehalf inches (11/2 ). When binding the document the spine will be on the left side so the extra space is needed. The right margin, top margin and bottom margin must all be one inch (1’’).
Binding: Hard Cover
Submission: 3 copies
PROJECT MARKING SCHEME
Aim and objectives
It is aimed at training the students to do independent work under the guidance of a Supervisor. It also to train them to formulate problems and propose solutions
Assessment  Marks (%) 
Supervisor’s Assessment:
A supervisor is he/she who supervised the students’ project from beginning to the end. He/she takes into consideration the contacts and suggestions made to the student(s) in the course of the project. 
15 
Oral Examination

10
20 
Quality of the Project
The quality of the project will be assessed by taking into consideration the following:

5 5 5 5 5 20 5 5 
Total  100 
Note: There shall be a moderation of the projects by the external examiner