MU’TAH UNIVERSITY Syllabus for Mathematics101 Faculty of Science Math ( 0301101) Dept. of Math and Stats. 3 Hours --------------------------------------------------------- -------------------------------------------- Course Description The topics presented in this course: Functions, limits and continuity, derivatives, applications of the derivative, the integral, inverse functions, and techinques of integration. --------------------------------------------------------- عة ام ج ة ت ؤ م ل ض ا ف ت( ل م كا وت1 ) ة ي ل ك وم ل ع ل ا ات ي ض ا ري( 0301101 ) م س ق ات ي ض ا ري ل ا صاء حلا وا7 لات7 ي ساعات مدة ت ع م-------------------------------------- ------------- ------ ف ص و ساق م ل ا اتHHH راي ت قلا ا، اتHHH هاي لن االHHH ص تلا وا، ات ف ت7 HHH ش م ل ا، اتHHH ف تT ب ط ت ة ق ت7 HHH ش م ل ا، ل م كا ت ل ا، اتHHH راي ت قلا ا ة ي ش ك ع ل ا، رق ط ل م كا ت ل ا0
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MU’TAH UNIVERSITY Syllabus for Mathematics101Faculty of Science Math ( 0301101)Dept. of Math and Stats. 3 Hours
The topics presented in this course: Functions, limits and continuity, derivatives, applications of the derivative, the integral, inverse functions, and techinques of integration.
Course DescriptionThe course aims at studying different areas as follows:Firstly, trigonometric substitution, partial fractions, improper intcgrals, length of curves, Lengths of curves defined parametrically, area of a surface, polar coordinates, area in polar coordinates.Secondly, sequences, and their convergent properities, infinite series, non-negative series, integral test, comparison test, ratio test, root test , alternating series, absolute convergence, conditionally convergence , power series, taylor series, polynomial approximation and taylor’s theorem, binomial series.Thirdly, conic Sections: a) The porabola b) The ellipes c) The hyperbola ,d)Rotation of axes : The dot product, the cross product, lines in space, planes in space.****************************************************************************************
The Real Numbers R, the algebric, order, completeness, properties of R, supremum and infimum, and Archimedean property. Moreover,sequences, Convergence, monotone sequences, M.C. Theorem, cauchy criterion, Bolzano -Weierstrass Theorem, infinite series, convergence of infinite series, and convergence test. Furthermore, limits of function, limit theorems, continuous functions, uniform continuity and monotone and inverse functions.
Lastly, Rolle’s theorem, mean Value theorem, L’Hospital’s rules and Taylor’s theorem.
The goal of this course is to enable students comprehend the following topics:Firstly, Riemann integrability , properties of the Riemann integral , the fundamental theorem of calculus , the integral as a limit . Secondly,sequences of functions , uniform convergence , interchange of limits , infinite series , convergence of infinite series , test for absolute convergence, series of functions . Thirdly, Riemann-Steltjes integral , its properities and some theorems on R.S.I.
Topological spaces: interior exterior,boundary,cluster and isdated points , bases , sub-bases , finite product and general products of Topological spaces, continuous functions, Ti - Space (i= 0 , 1 , 2 ), Regular and normal spaces.
To summarize the points of interest in this course, the following can be mentioned :-Complex numbers , algebric properties , power and roots .-Analytic functions , continuity , derivatives , Cauchy-Riemann equations , elementary functions , mapping by elementary functions .-Integral , Cauchy-Goursat theorem , Cauchy-Integral formula ,Liouville’s theorm .-Series, Taylor series, Laurent series, residues, calculation of residues, poles, and applications .
MU’TAH UNIVERSITY Principles of Applied MathematicsFaculty of Science Math (0301271)Dept. of Math and Stats. 3 Hours------------------------------------------------------------------
Course DescriptionThe course emphasizes the following points:-Vector analysis, the position vector, velocity and acceleration regarding rectangular , plane polar , cylindrical and spherical coordinates.-Newton’s laws of motion, kinetic and potential energy, the impulse , variation of gravity with height.-Smiple harmonic motion, damped motion, conservative forces, harmonic motion in two and three dimensions .-Central forces, the laws of area and motion in a central field, orbits in an inrase-squere field, the force of gravitation between two bodies .-Lagrangian mechanics, generalized coordinates, lagrange’s equation and applications .-Hamilton’s theory, principle and equations in addition to applications.-Calculus of variation, extreme values for integrals, applications .
Metric spaces, Linear spaces, Normed spaces, Lp-spaces, Banach spaces, Operators, Hilber spaces, inner product spaces, Orthognal complements and Direct sums, Orthonormal sets and sequences, Hilber adjoint operators.Various sorts of spaces are involved in this course; metric, linear, normed, Lp, inner product, Hilber’s and Banach’s spaces are a case in point . Operators, orthognal complements and direct sums, orthonormal sets and sequences and Hilber adjoint aperators are other topics to be dealt with in this course.
Following are the basic points of interest in this course :*Systems of first Order linear O.D. Es.*Non-Linear D.E. and Stability.*Existence and uniqueness of solution of O.D.Es.
The course aims to provide students with introduction to the use of sampling, sampling distributions, the covariance, and correlation, estimation theory and the properties of good estimator, types of samples and sampling error, methods of data collection and designing a questionnaire, simple random sample: How to draw the sample. Other aspects include estimation of population mean, total and proportion, selecting the sample size for estimating population mean, totals and proportion. Stratified random sample: How to draw the sample, estimation of population mean, total and proportion. selecting the size of the sample to estimate population mean, totals and proportion. Systematic sample: How to draw the sample, estimation of apopulation mean, total and proportion as well as selecting repeated systematic sampling are also included .Finally, cluster sampling: one stage cluster sample and two-stage cluster sample; How to draw the sample, estimation a population mean, total and proportion, selecting the sample size, ratio and regression estimation and comparing the method sare involed .
، التغاير ، المعاينه توزريعات العينات استخدام ضرورة عن مقدمه ومصادر العينات انواع ، الجيد التقدير وخصائص التقديرات نظرية االرتباط، العينه ، االستماره وتصميم البيانات جمع طرق ، العينات في االخطاء
المجتمع ومجموع متوسط تقدير ، العينه سحب كيفية البسيطه العشوائيه والمجموع المجتمع متوسط لتقدير العينه حجم تقدير ، النجاح ونسبة سحب كيفية ، العشوائيه الطبقيه العينه للمجتمع، النجاح نسبة وتقدير
لتقدير العينه حجم تقدير للمجتمع، النجاح ونسبة متوسط تقدير ، العينه مقارنه العشوائيه بالعينه المنتظمه العينه مقارنه0 والمجموع المتوسط
مرحله من العنقوديه العينه ، العشوائيه الطبقيه بالعينه المنتظمه العينه النجاح ونسبه ومجموع متوسط وتقدير العينه سحب كيفيه ، مرحلتين ومن
النسبه تقدير0والمجموع المتوسط لتقدير العينه حجم تقدير للمجتمع 0 المختلفه الطرق بين مقارنه ، واالنحدار
MU’TAH UNIVERSITY Probability Theory 233Faculty of Science Math (0301233)Dept. of Math and Stats. 3 Hours
The course deals with sample space, events, axioms of probability, probability rules, conditional probability, independence and Bay’s theorem. In addition, random variables in terms of defenition discrete r.v.’s and P.d.f.’s, are studied . Continuous r.v.’s and probability density function, the distribution function, mathematical expectation, moments, mean and variance, moment generating function and Chebysheve’s inequality are covered. Discrete probability models, the Bernoulli and Binomial dist.’s, Geometric, Negatise binomial, Poisson, and Heypergeometric distributions. Continuous probability distributions covered, the uniform, exponential, gamma, beta, normal. Multivariate distributions; bivariate distributions ( discrete and continuous). M. P.d.f.’s and d.f.’s, conditional distributions and independence, mv moments, covarianca and carrelation, conditional moments, conditional mean and conditional variance are also taken into consideration .****************************************************************************************
نظريةمؤتــــة جامعـــــةاالحتماالت
(0301233) رياضياتالعلــــــوم كليــــه واالحصاء الرياضيات قسممعتمده ساعات ثالث
الحدين، ذو وتوزيع برنولي توزيع ، المنفصله التوزيعات من والتوزيع بواسون توزيع ، السالب الحدين وذو الهندسي التوزيع
التوزيع ، المتصله التوزيعات من نماذج0الهندسي فوق والتوزيع بيتا توزيع جاما، توزيع األسي، التوزيع المنتظم، الثنائيه التوزيعات المتغيرات، متعددة التوزيعات0الطبيعي
The course deals with various topics related to the distribution of function of random variables , d.f. method, transformation method, and m.g.f. method. sampling distributions, the mean and the variance, law of large numbers and central limit theorem, the Chisxcare, t , and F distributions, order statistics, point estimation, methods of estimation, moments method and maximum likelihood method, unbiasedness, mean square error, efficiency, minimum variance unbiased estimators, consistancy and sufficiency defining in addition to that, it concentrates on interval estimation; The confidence interval concept and its intervals for the mean and variances of the normal dist. regarding one and two populations and for ratios of two varionces. Testing Hypotheses, types of errors, critical
regions, power functions, the most powerful tests, Neymann-Pearson lemma, likelihood ratio test and on hypotheses testing applications.****************************************************************************************
234 الرياضي االحصاءمؤتــــة جامعـــــة(0301234) رياضياتالعلــــــوم كليــــه
Adefinition of time series provided with examples and applications, Stationary and non-stationary series, trend and seasonality, probability modeling of T.S., auto-covariance and autcorrelation functions, auto-regressive and moving average models, ARMA and ARIMA models, auto correlations and their use in model selection procedures in addition to an introduction to spectral analysis are all dealt with in this course .****************************************************************************************
Areview of hypotheses testing, applications on Z and t tasts, independence and goodness of fit test. One-way analysis of variance, completely randomized design, ANOVA table , assumptions and hypotheses, estimation of parameters , random model, Two-way ANOVA ; assumptions, hypotheses, parameter estimation and random and mixed models. Correlation and regression, simple linear regression; assumptions, hypotheses and model selection procedures: forward, backward, and stepwise methods are to be presented in this course .
The course includes a definition of stochastic processes, a definition of Markov’s chains and their transition probability matrices as well as their classification of states. in addition, recurrence and some examples of
recurrent chains are provided . Basic limit theorem of M.C and its applications and reducible M.C are discussed . Poisson process, law of rate events, spatial poisson processes, compound and marked poisson process, continuous time M.C. Pure birth and death processes, their limiting behavior and those processes with regard to absorbing states are dealt with, let alone limit state contiruous chains of Markov. Pure birth processes, pure death processes, birth and death processes, the limiting behaviour of birth and death processes, birth and death processes with absorbing states, limit state continuous markov charins adefinition of stochastic processes, Markov chains, transition probability matrices of M.C., some M.C. models. Classification of States of an M. C. Recurrence and examples of recurrent M.C., basic limit theorem of M.C. reducible M.C., ****************************************************************************************
An introduction to the history of operation research, mathematical and Linear programming. The objective function and constraints in linear programming, the canonical form and the standard form, graphical solution of two-variable linear programms, the Simplex method, Big-M technique, duel problem, special cases in solving linear programming ,
primal - dual simplex, sensitivity analysis concerning constraints and objectives, changes in the coefficients of the objective function, Changes in the right-hand side of the constraints, addition of new constraint.Transportation problem, Assignment problem, Networks and Integer programming .
والبرمجه الرياضيه البرمجه ، العمليات بحوث تاريخ في مقدمه ، الخطي البرنامج في والقيود الهدف داله تحديد ، الخطيه باستخدام الحل طريقة ، القياسي والشكل الرياضي الشكل
- Big) الكبرىM طريقة السمبلكس، طريقه ، البيانيه الرسومM) 0المقابله االوليه السمبلكس ، والمقابله المناظره المسأله سببها الحساسيه تحليل ، الخطيه البرامج حل في خاصه حاالت ،
االيمن الطرف تغيير ، الهدف داله معامالت : تغيير واهدافها مسألة ، النقل مسألة ، للمسأله جديد قيد اضافة ، للقيود
0 صحيحه بأعداد البرمجه ، الشبكات ، التعيين
MU’TAH UNIVERSITY BiostatisticsFaculty of Science Math (0301238)Dept. of Math and Stats. 2 Hours
The course aims at studying statistics, measures of central tendency, measures of dispersion, vital statistics, probability, discrete probability distributions, continuous probability distributions, point estimation, interval estimation for means, interval estimation for proportions, hypothesis testing for means, hypothesis testing for proportions, regression and correlations.
The course deals with the following topics :Initial - value problems for ordinary differential equations.Direct methods for solving linear systems.Iterative techniques in Matrix Algebra.Boundary -value problems for ordinary differential equations.
Conformal mappings , analytic continuation , Riemann surfaces and applications are studied in this course . Prerequisite: Math 312 ( Complex Analysis I).
Sets, relations and functions, denumerable and non-denumerable sets, cardinal numbers, axiom of choice, and its equiratent forms the ordinal numbers, the peano axioms, logic and Methods of proof.
An Introduction to partial differential equations and their classifications and solutions, Fourier’s series and integrals, the heat equation, the wave equation and the potential equation.
This course is an introduction to the FORTRAN Language , computing the determinant of(nxn)- matrices, solving (nxn)- linear systems by using Cramer’s rule, computing the gamma function , computing the nth derivative of a functions written as a multipliation of two function by Rodrigueis formula,constructing the n-term Taulor series, matrix multiplication, addition, subtraction and finding its inverse and discrete least-squares approximations. It is also an introduction to finite differences and their applications to differential equations.
The course discusses binary operations, groups with special reference to their various types like subgroups, permutation, cyclic and factor ones . Moreover, homomorphisms, automorphisms and isomorphism theorems constitute some part of this course, not to mention having an introduction to representation theory. Finally, rings and fields and algebra of polynomials are also indicated .
Review of abstract algebra I Rings: Euclidean, principle Rings and ideals are discussed, maximal and Irreducible ideals. Finite fields, extension of fields, , degrees of field extension, and algebraic extensions are other points to be regarded .
This course covers the following topics :set theory, algorithms and logic, set operations, reading proofs, graph theory, directed graphs, relations, functions, , matrix representation of digraphs, matrix theory, combinatorics, integrs and binary numbers, factorization in integers euclidean algorithms, group theory and rings.
The course ptovides students with information regarding system of linear equations and matrices, determinants, vectors in 2-space and 3-space, dot product, cross product, general vector spaces, subspaces, linear independence, basis and dimension, finner product spaces, orthonormal bases, Gram-Schmidt process, change of basis and linear transformation.
It is the objective of this course to study eigenvalues and eigenvectors, diagonalization and orthogonal diagonalization. similar matrices, general linear transformation, Kernel and Range, inverse Linear transformation, similarity. Application on differential equations, geometry of linear operators, quadratic forms, diagonalizing quadratic forms.Matrices in Complez numbers .
Divisibility, Euclid’s algorithm, the fundamental theorem, arithematical functions, Euler’s function , fermat numbers, linera diophantine equations, linear congruences, the chinese remainder theorem, system of linear congruences, Wilson’s theorem, Fermat’s theorem, the order of an integer modulo n, primes and factorization and primitive roots of primes are all discussed in this course .
The course provides an introduction to graph theory , walks and paths, operations on graphs , blocks, trees , connectivity, eulerian and Hamiltonian graphs and line graphs.
This course is a review of Green’s, Stoke’s and Divergence theorems. Moreover, it discusses transformations in Rm , continuity and differentiation by the chain rule, substitution in multi-integrations and stoke’s theorem design.
Randomized block designs, latin squares, designs of factorial experiments, two factorial designs 2n and 3n , confounding designs and nested designs are to be elaborated on in this course .
Queueig theory, queueig systems, the birth and-death process with regard to its significance and elements are emphasized. Queueig models and applications on queueig theory, decision making, the evaluation of travel time, inventory theory and components of inrentory models, the simulation formulating and implementing a simulation model. Monte Carlo techniques, Markovian decision processes, linear programming, optimal policies and nonlinear programming .
The course deals with properities of point estimation, risk function, exponential families, sufficient and complete classes, Pitman estimates, properties of maximum likelihood estimate and confidence sets. Moreover, different tests as hypo-thesis testing, general probability ratio test, uniformly most powerful test and sequential tests are included .
(2) رياضي احصاءمؤته جامعة(0301434) رياضياتالعلوم كلية
- Mathematical Preliminaries- Solutions of equations in one variable- Interpolation and polynomial approximation- Numerical Differentiation and Integration- Initial Value problems for ODE .
---------------------------------------------------------------------) عددي تحليلمؤته جامعة
First-order D.Es and relevant applications, higher order D.Es and their applications, Series Solutions of Linear equation as well as Laplace transform constitute the topics of this course .
--------------------------------------------------------------------- معادالتمؤته جامعة
1. Identifying the problem to be studied.2.Gollecting data, designing a questionniare, classifying data in statistical tables, representing data in graphs,
This course takes into account numerical systems, mathematicians of Greece and Alexandria, translation, European mathematics and the scientists of the 16th century. Furthermore, modern mathematics and the computer age are core elements of this course .
-------------------------------------
الرياضيات تاريخمؤته جامعة(0301381) رياضياتالعلوم كلية
Statistics, measures of central tendency, measures of dispersion, probability, discrete probability distributions. Continuous probability distributions, point estimation, interval estimation for means, interval estimation for proportions, hypothesis testing for means, hypothesis testing for proportions, regression and correlations.
The topics presented in this course: Functions, limits and continuity, derivatives, applications of the derivative, the integral, integration by parts and substitution, natural logarithm and exponential functions.
في مقدمةمؤتــــة جامعـــــةوالتكامل التفاضل03010) رياضيات ـومـالعلـــ كليــــه
-Real and complex numbers, logic& methods of Proof, counting Techniques, arithmetic and geometric series, logarithmic and exponential equations, polynomials, space geometry.
الرياضيات اسسمؤتــة جامعــة03011) رياضيات العلــوم كليــه
The topics presented in this course: Functions, limits and continuity, derivatives, applications of the derivative, the integral, inverse functions, and techinques of integration.
MU’TAH UNIVERSITY Syllabus for Mathematics 102Faculty of Science Math (0301102)Dept. of Math and Stats. 3 Hours
Course DescriptionThe course aims at studying different areas as follows:Firstly, trigonometric substitution, partial fractions, improper intcgrals, length of curves, Lengths of curves defined parametrically, area of a surface, polar coordinates, area in polar coordinates.Secondly, sequences, and their convergent properities, infinite series, non-negative series, integral test, comparison test, ratio test, root test , alternating series, absolute convergence, conditionally convergence , power series, taylor series, polynomial approximation and taylor’s theorem, binomial series.Thirdly, conic Sections: a) The porabola b) The ellipes c) The hyperbola ,
d)Rotation of axes : The dot product, the cross product, lines in space, planes in space.
Faculty of Science Math (0301203)Dept. of Math and Stats. 3 Hours
First-order D.Es and relevant applications, higher order D.Es an d their applications, Series Solutions of Linear equation as well as Laplace transform constitute the topics of this course .