Correlation measures the strength and direction of association between two variables. It ranges from -1 to 1, where 0 indicates no association and values closer to 1 or -1 indicate stronger positive or negative associations, respectively. The document provides examples of positive correlation between variables such as height and weight that increase together, and negative correlation where variables such as TV time and grades move in opposite directions. Formulas and different types of correlation including partial and multiple correlation are also defined in the document.
This document provides an overview of lessons on the chain rule in calculus. It introduces the chain rule for functions of one variable and then extends it to functions of multiple variables. Examples are provided to demonstrate how to use the chain rule to calculate derivatives of composite functions. Formulas for the chain rule are stated for reference. The document also discusses using tree diagrams to visualize applications of the chain rule and introduces matrix expressions of the chain rule.
Alice wants to teleport an unknown quantum state ψ to Bob using prior entanglement and classical communication. They share one half of an entangled Bell state β each. Alice combines her half of β with ψ and performs a teleportation circuit involving CNOT and Hadamard gates. She then measures her two qubits and sends the results to Bob. Based on the received classical bits, Bob applies a Pauli operator to reconstruct the state ψ exactly at his location.
This document provides an introduction to tensor calculus. It begins with definitions of tensors and coordinate systems. Section 1 defines tensors and contravariant and covariant indices. Section 2 focuses on Cartesian tensors and introduces tensor notation rules. It defines tensor terms, expressions, and operations. Section 3 will cover general curvilinear coordinates and covariant differentiation. The document establishes the foundation for working with tensors and their transformation properties.
The document discusses the Gram-Schmidt process and related linear algebra concepts. It begins by defining orthogonal and orthonormal sets and bases. It then discusses projection theory and how to construct an orthonormal set from an orthogonal set using Gram-Schmidt. Examples are provided to illustrate orthogonalization and finding coordinates of a vector with respect to an orthogonal basis. The document concludes by providing an example of applying Gram-Schmidt to transform an orthogonal basis into an orthonormal basis.
This document provides a summary of several books related to nuclear reactors and nuclear physics. It lists the titles, authors, and brief descriptions of 9 books covering topics such as neutron data for fast reactors, magnetic fusion reactors, heat transfer in nuclear reactors, nuclear reactions, fast breeder reactor engineering, and nuclear structure and forces. It also lists 4 related journals that provide free sample copies. The document concludes by listing the names and affiliations of the authors of the book being summarized.
The document discusses the Expectation Maximization (EM) algorithm. It explains that EM is used to maximize the likelihood of observed data that depends on latent or unobserved variables. The EM algorithm iterates between an E-step, where the distribution of the latent variables is estimated based on current parameters, and an M-step where the parameters are updated to maximize the expected complete data log-likelihood based on the distribution from the E-step. This process is guaranteed to converge and never decrease the observed data log-likelihood at each iteration. The document then provides derivations of the EM update equations for Gaussian mixture models as an example application of the general EM algorithm.
This is the Highly Detailed factory service repair manual for the2006 LEXUS GX470, this Service Manual has detailed illustrations as well as step by step instructions,It is 100 percents complete and intact. they are specifically written for the do-it-yourself-er as well as the experienced mechanic.2006 LEXUS GX470 Service Repair Workshop Manual provides step-by-step instructions based on the complete dis-assembly of the machine. It is this level of detail, along with hundreds of photos and illustrations, that guide the reader through each service and repair procedure. Complete download comes in pdf format which can work under all PC based windows operating system and Mac also, All pages are printable. Using this repair manual is an inexpensive way to keep your vehicle working properly.
Service Repair Manual Covers:
Maintenance
Engine
Control System
Mechanical
Fuel Service Specifications
Emission Control
Intake Exhaust Cooling
Lube
Ignition Starting Charging
Auto Transmission Clutch
Manual Transmission
Transfer Propeller Shaft
Drive Shaft
Differential
Axle Suspension
Tire & Wheel
Brake Control
Brake
Parking Brake
Steering Column
Power Steering
Air Condition
Suppl Restraint System
Seat Belt
Engine Immobilizer
Cruise Control
Wiper & Washer
Door Lock
Meter Audio/Visual
Horn
Windshield/Glass Mirror
Instrument Panel
Seat
Engine Hood/ Door
Exterior & Interior
Electrical
Multiplex/ Can Communication
And much more
File Format: PDF
Compatible: All Versions of Windows & Mac
Language: English
Requirements: Adobe PDF Reader
NO waiting, Buy from responsible seller and get INSTANT DOWNLOAD, Without wasting your hard-owned money on uncertainty or surprise! All pages are is great to have2006 LEXUS GX470 Service Repair Workshop Manual.
Looking for some other Service Repair Manual,please check:
https://www.aservicemanualpdf.com/
Thanks for visiting!
8
Correlation measures the strength and direction of association between two variables. It ranges from -1 to 1, where 0 indicates no association and values closer to 1 or -1 indicate stronger positive or negative associations, respectively. The document provides examples of positive correlation between variables such as height and weight that increase together, and negative correlation where variables such as TV time and grades move in opposite directions. Formulas and different types of correlation including partial and multiple correlation are also defined in the document.
This document provides an overview of lessons on the chain rule in calculus. It introduces the chain rule for functions of one variable and then extends it to functions of multiple variables. Examples are provided to demonstrate how to use the chain rule to calculate derivatives of composite functions. Formulas for the chain rule are stated for reference. The document also discusses using tree diagrams to visualize applications of the chain rule and introduces matrix expressions of the chain rule.
Alice wants to teleport an unknown quantum state ψ to Bob using prior entanglement and classical communication. They share one half of an entangled Bell state β each. Alice combines her half of β with ψ and performs a teleportation circuit involving CNOT and Hadamard gates. She then measures her two qubits and sends the results to Bob. Based on the received classical bits, Bob applies a Pauli operator to reconstruct the state ψ exactly at his location.
This document provides an introduction to tensor calculus. It begins with definitions of tensors and coordinate systems. Section 1 defines tensors and contravariant and covariant indices. Section 2 focuses on Cartesian tensors and introduces tensor notation rules. It defines tensor terms, expressions, and operations. Section 3 will cover general curvilinear coordinates and covariant differentiation. The document establishes the foundation for working with tensors and their transformation properties.
The document discusses the Gram-Schmidt process and related linear algebra concepts. It begins by defining orthogonal and orthonormal sets and bases. It then discusses projection theory and how to construct an orthonormal set from an orthogonal set using Gram-Schmidt. Examples are provided to illustrate orthogonalization and finding coordinates of a vector with respect to an orthogonal basis. The document concludes by providing an example of applying Gram-Schmidt to transform an orthogonal basis into an orthonormal basis.
This document provides a summary of several books related to nuclear reactors and nuclear physics. It lists the titles, authors, and brief descriptions of 9 books covering topics such as neutron data for fast reactors, magnetic fusion reactors, heat transfer in nuclear reactors, nuclear reactions, fast breeder reactor engineering, and nuclear structure and forces. It also lists 4 related journals that provide free sample copies. The document concludes by listing the names and affiliations of the authors of the book being summarized.
The document discusses the Expectation Maximization (EM) algorithm. It explains that EM is used to maximize the likelihood of observed data that depends on latent or unobserved variables. The EM algorithm iterates between an E-step, where the distribution of the latent variables is estimated based on current parameters, and an M-step where the parameters are updated to maximize the expected complete data log-likelihood based on the distribution from the E-step. This process is guaranteed to converge and never decrease the observed data log-likelihood at each iteration. The document then provides derivations of the EM update equations for Gaussian mixture models as an example application of the general EM algorithm.
This is the Highly Detailed factory service repair manual for the2006 LEXUS GX470, this Service Manual has detailed illustrations as well as step by step instructions,It is 100 percents complete and intact. they are specifically written for the do-it-yourself-er as well as the experienced mechanic.2006 LEXUS GX470 Service Repair Workshop Manual provides step-by-step instructions based on the complete dis-assembly of the machine. It is this level of detail, along with hundreds of photos and illustrations, that guide the reader through each service and repair procedure. Complete download comes in pdf format which can work under all PC based windows operating system and Mac also, All pages are printable. Using this repair manual is an inexpensive way to keep your vehicle working properly.
Service Repair Manual Covers:
Maintenance
Engine
Control System
Mechanical
Fuel Service Specifications
Emission Control
Intake Exhaust Cooling
Lube
Ignition Starting Charging
Auto Transmission Clutch
Manual Transmission
Transfer Propeller Shaft
Drive Shaft
Differential
Axle Suspension
Tire & Wheel
Brake Control
Brake
Parking Brake
Steering Column
Power Steering
Air Condition
Suppl Restraint System
Seat Belt
Engine Immobilizer
Cruise Control
Wiper & Washer
Door Lock
Meter Audio/Visual
Horn
Windshield/Glass Mirror
Instrument Panel
Seat
Engine Hood/ Door
Exterior & Interior
Electrical
Multiplex/ Can Communication
And much more
File Format: PDF
Compatible: All Versions of Windows & Mac
Language: English
Requirements: Adobe PDF Reader
NO waiting, Buy from responsible seller and get INSTANT DOWNLOAD, Without wasting your hard-owned money on uncertainty or surprise! All pages are is great to have2006 LEXUS GX470 Service Repair Workshop Manual.
Looking for some other Service Repair Manual,please check:
https://www.aservicemanualpdf.com/
Thanks for visiting!
8
This document discusses fuzzy sets and their basic concepts and operations. It begins by defining fuzzy sets and their membership functions, which assign a degree of membership between 0 and 1 to each element of a universal set, unlike crisp sets which only assign 0 or 1. It then discusses α-cut sets, which are crisp sets of elements with membership above a given value α. Other concepts covered include convex fuzzy sets, fuzzy numbers representing intervals, and the magnitude and subsets of fuzzy sets. Standard fuzzy set operations like complement, union, intersection and difference are also defined. Finally, fuzzy relations and their composition are introduced.
This document provides an introduction to complex numbers. It discusses the mathematical and geometrical requirements for representing complex numbers on a plane with real and imaginary axes. Some key points covered include: complex numbers can be used to solve quadratic equations with negative solutions; a complex number has both a real and imaginary part and can be represented as a point in the complex plane; and the angle of a complex number depends on its position in the complex plane relative to the real and imaginary axes. Several examples of representing and calculating angles of complex numbers are worked through.
Recursion is a technique that involves defining a function in terms of itself via self-referential calls. It can be used to loop without an explicit loop statement. A recursive function must have a base case that does not involve further recursion in order to terminate after a finite number of calls. When a recursive function is called, information like function values and local variables are pushed onto a call stack to keep track of each nested call.
This document provides an overview of numerical methods for solving ordinary differential equations. It outlines several numerical methods including Taylor's series method, Picard's method of successive approximation, Euler's method, modified Euler's method, Runge-Kutta methods, and predictor-corrector methods like Milne's method and Adams-Moulton method. Examples of the formulas used in each method are given. The document also lists references and provides context about the course and unit.
Particle swarm optimization (PSO) is an evolutionary computation technique for optimizing problems. It initializes a population of random solutions and searches for optima by updating generations. Each potential solution, called a particle, tracks its best solution and the overall best solution to change its velocity and position in search of better solutions. The algorithm involves initializing particles with random positions and velocities, then updating velocities and positions iteratively based on the particles' local best solution and the global best solution until termination criteria are met. PSO has advantages of being simple, quick, and effective at locating good solutions.
This document discusses ideals and factor rings. It begins by defining an ideal as a subring of a ring where certain multiplication rules hold. It provides examples of ideals in various rings. It then discusses the existence of factor rings when a subring is an ideal. The elements of a factor ring are cosets of the ideal. It provides examples of computing operations in specific factor rings. Finally, it discusses prime and maximal ideals and their relationship to the structure of factor rings.
This document presents information on different interpolation methods including forward, backward, and central interpolation. It defines interpolation as finding values inside a known interval, while extrapolation finds values outside the interval. It discusses polynomial interpolation using linear, quadratic, and cubic polynomials. It also defines forward, backward, and central finite differences and difference operators. Tables are presented showing examples of applying first, second, third, and fourth differences using forward, backward, and central difference operators.
Gram schmidt orthogonalization | Orthonormal Process Isaac Yowetu
The document discusses Gram-Schmidt orthogonalization and orthonormalization. It defines orthogonalization as constructing orthogonal vectors that span a subspace, while orthonormalization results in unit vectors. The Gram-Schmidt process is described as a method to take a set of vectors and construct an orthogonal set from them. Two examples applying the Gram-Schmidt process are shown.
Boas mathematical methods in the physical sciences 3ed instructors solutions...Praveen Prashant
This document contains mathematical expressions, series expansions, and convergence tests. It provides series expansions for various functions around points using Taylor series. It also tests the convergence of infinite series using tests like the limit comparison test, ratio test, and integral test. Several problems provide the interval of convergence for Taylor series expansions of different functions.
The document summarizes key concepts and applications of integration. It discusses:
1) Important historical figures like Archimedes, Gauss, Leibniz and Newton who contributed to the development of integration and calculus.
2) Engineering applications of integration like in the design of the Petronas Towers and Sydney Opera House.
3) The integration by parts formula and examples of using it to evaluate integrals of composite functions.
A relation is a set of ordered pairs that shows a relationship between elements of two sets. An ordered pair connects an element from one set to an element of another set. The domain of a relation is the set of first elements of each ordered pair, while the range is the set of second elements. Relations can be represented visually using arrow diagrams or directed graphs to show the connections between elements of different sets defined by the relation.
Fuzzy sets allow for gradual membership of elements in a set, rather than binary membership as in classical set theory. Membership is described on a scale of 0 to 1 using a membership function. Fuzzy sets generalize classical sets by treating classical sets as special cases where membership values are restricted to 0 or 1. Fuzzy set theory can model imprecise or uncertain information and is used in domains like bioinformatics. Examples of fuzzy sets include sets like "tall people" where membership in the set is a matter of degree.
Linear algebra and vector analysis presentationSajibulIslam13
This presentation discusses how to solve linear algebra problems using C programming. It begins with introducing the group members and teacher. It then covers topics like linear algebra concepts, the history of linear algebra and vector calculus, the relationship between mathematics and programming languages, and examples of solving linear equations and encoding/decoding messages using matrices in C code. It shows the code and output for problems involving finding coefficients of a polynomial function from points, encoding a message using a matrix, and solving a word problem on ticket amounts for a bumpy car ride and Ferris wheel. It concludes that solving math problems in code will help apply concepts to real life.
Firefly Algorithms for Multimodal OptimizationXin-She Yang
This document summarizes a research paper on using a new Firefly Algorithm (FA) for multimodal optimization problems. The FA is inspired by the flashing behavior of fireflies. It is described as being superior to other metaheuristic algorithms like Particle Swarm Optimization (PSO) based on simulations. The FA works by having fireflies that represent solution points move towards more attractive (brighter) fireflies within their visible range, with attractiveness decreasing with distance.
The document discusses Einstein's field equations and Heisenberg's uncertainty principle. It begins by providing background on Einstein's field equations, which relate the geometry of spacetime to the distribution of mass and energy within it. It then discusses some key mathematical aspects of the field equations, including their nonlinear partial differential form. Finally, it notes that the field equations can be consolidated with Heisenberg's uncertainty principle to provide a unified description of gravity and quantum mechanics.
Engineering Mathematics-IV_B.Tech_Semester-IV_Unit-IIRai University
This document provides an overview of Unit II - Complex Integration from the Engineering Mathematics-IV course at RAI University, Ahmedabad. It covers key topics such as:
1) Complex line integrals and Cauchy's integral theorem which states that the integral of an analytic function around a closed curve is zero.
2) Cauchy's integral formula which can be used to evaluate integrals and find derivatives of analytic functions.
3) Taylor and Laurent series expansions of functions, including their regions of convergence.
4) The residue theorem which can be used to evaluate real integrals involving trigonometric or rational functions.
This document discusses Green's functions and their use in solving boundary value problems (BVPs) for ordinary differential equations (ODEs). It begins by defining linear BVPs and discussing how solutions can be constructed by decomposing the problem into simpler parts that are then reassembled. It then introduces Green's functions, which are solutions to associated BVPs with homogeneous boundary conditions and a Dirac delta function as the forcing term. The document shows that Green's functions can be used to find the general solution to an inhomogeneous BVP, and provides an example of deriving the Green's function for the ODE d2u/dx2 = f(x) on the interval [0,1] with boundary conditions
Tensors are mathematical objects that generalize scalars, vectors and matrices to higher dimensions. A tensor is a multidimensional array of numbers that transforms in a predictable way under changes of coordinates. Lower-rank tensors include scalars (rank-0), vectors (rank-1) and matrices (rank-2). Tensors are important in physics for formulating and solving problems involving quantities that have both magnitude and direction, such as mechanics, stress and elasticity.
The document provides information about curve tracing, including important definitions, methods of tracing curves, and examples. It defines key curve concepts like singular points, multiple points, points of inflection, and asymptotes. The method of tracing curves involves analyzing the equation for symmetry, points of intersection with axes, regions where the curve does not exist, and determining tangents and asymptotes. Four examples are provided to demonstrate how to apply this method to trace specific curves and identify their properties.
This document discusses fuzzy sets and their basic concepts and operations. It begins by defining fuzzy sets and their membership functions, which assign a degree of membership between 0 and 1 to each element of a universal set, unlike crisp sets which only assign 0 or 1. It then discusses α-cut sets, which are crisp sets of elements with membership above a given value α. Other concepts covered include convex fuzzy sets, fuzzy numbers representing intervals, and the magnitude and subsets of fuzzy sets. Standard fuzzy set operations like complement, union, intersection and difference are also defined. Finally, fuzzy relations and their composition are introduced.
This document provides an introduction to complex numbers. It discusses the mathematical and geometrical requirements for representing complex numbers on a plane with real and imaginary axes. Some key points covered include: complex numbers can be used to solve quadratic equations with negative solutions; a complex number has both a real and imaginary part and can be represented as a point in the complex plane; and the angle of a complex number depends on its position in the complex plane relative to the real and imaginary axes. Several examples of representing and calculating angles of complex numbers are worked through.
Recursion is a technique that involves defining a function in terms of itself via self-referential calls. It can be used to loop without an explicit loop statement. A recursive function must have a base case that does not involve further recursion in order to terminate after a finite number of calls. When a recursive function is called, information like function values and local variables are pushed onto a call stack to keep track of each nested call.
This document provides an overview of numerical methods for solving ordinary differential equations. It outlines several numerical methods including Taylor's series method, Picard's method of successive approximation, Euler's method, modified Euler's method, Runge-Kutta methods, and predictor-corrector methods like Milne's method and Adams-Moulton method. Examples of the formulas used in each method are given. The document also lists references and provides context about the course and unit.
Particle swarm optimization (PSO) is an evolutionary computation technique for optimizing problems. It initializes a population of random solutions and searches for optima by updating generations. Each potential solution, called a particle, tracks its best solution and the overall best solution to change its velocity and position in search of better solutions. The algorithm involves initializing particles with random positions and velocities, then updating velocities and positions iteratively based on the particles' local best solution and the global best solution until termination criteria are met. PSO has advantages of being simple, quick, and effective at locating good solutions.
This document discusses ideals and factor rings. It begins by defining an ideal as a subring of a ring where certain multiplication rules hold. It provides examples of ideals in various rings. It then discusses the existence of factor rings when a subring is an ideal. The elements of a factor ring are cosets of the ideal. It provides examples of computing operations in specific factor rings. Finally, it discusses prime and maximal ideals and their relationship to the structure of factor rings.
This document presents information on different interpolation methods including forward, backward, and central interpolation. It defines interpolation as finding values inside a known interval, while extrapolation finds values outside the interval. It discusses polynomial interpolation using linear, quadratic, and cubic polynomials. It also defines forward, backward, and central finite differences and difference operators. Tables are presented showing examples of applying first, second, third, and fourth differences using forward, backward, and central difference operators.
Gram schmidt orthogonalization | Orthonormal Process Isaac Yowetu
The document discusses Gram-Schmidt orthogonalization and orthonormalization. It defines orthogonalization as constructing orthogonal vectors that span a subspace, while orthonormalization results in unit vectors. The Gram-Schmidt process is described as a method to take a set of vectors and construct an orthogonal set from them. Two examples applying the Gram-Schmidt process are shown.
Boas mathematical methods in the physical sciences 3ed instructors solutions...Praveen Prashant
This document contains mathematical expressions, series expansions, and convergence tests. It provides series expansions for various functions around points using Taylor series. It also tests the convergence of infinite series using tests like the limit comparison test, ratio test, and integral test. Several problems provide the interval of convergence for Taylor series expansions of different functions.
The document summarizes key concepts and applications of integration. It discusses:
1) Important historical figures like Archimedes, Gauss, Leibniz and Newton who contributed to the development of integration and calculus.
2) Engineering applications of integration like in the design of the Petronas Towers and Sydney Opera House.
3) The integration by parts formula and examples of using it to evaluate integrals of composite functions.
A relation is a set of ordered pairs that shows a relationship between elements of two sets. An ordered pair connects an element from one set to an element of another set. The domain of a relation is the set of first elements of each ordered pair, while the range is the set of second elements. Relations can be represented visually using arrow diagrams or directed graphs to show the connections between elements of different sets defined by the relation.
Fuzzy sets allow for gradual membership of elements in a set, rather than binary membership as in classical set theory. Membership is described on a scale of 0 to 1 using a membership function. Fuzzy sets generalize classical sets by treating classical sets as special cases where membership values are restricted to 0 or 1. Fuzzy set theory can model imprecise or uncertain information and is used in domains like bioinformatics. Examples of fuzzy sets include sets like "tall people" where membership in the set is a matter of degree.
Linear algebra and vector analysis presentationSajibulIslam13
This presentation discusses how to solve linear algebra problems using C programming. It begins with introducing the group members and teacher. It then covers topics like linear algebra concepts, the history of linear algebra and vector calculus, the relationship between mathematics and programming languages, and examples of solving linear equations and encoding/decoding messages using matrices in C code. It shows the code and output for problems involving finding coefficients of a polynomial function from points, encoding a message using a matrix, and solving a word problem on ticket amounts for a bumpy car ride and Ferris wheel. It concludes that solving math problems in code will help apply concepts to real life.
Firefly Algorithms for Multimodal OptimizationXin-She Yang
This document summarizes a research paper on using a new Firefly Algorithm (FA) for multimodal optimization problems. The FA is inspired by the flashing behavior of fireflies. It is described as being superior to other metaheuristic algorithms like Particle Swarm Optimization (PSO) based on simulations. The FA works by having fireflies that represent solution points move towards more attractive (brighter) fireflies within their visible range, with attractiveness decreasing with distance.
The document discusses Einstein's field equations and Heisenberg's uncertainty principle. It begins by providing background on Einstein's field equations, which relate the geometry of spacetime to the distribution of mass and energy within it. It then discusses some key mathematical aspects of the field equations, including their nonlinear partial differential form. Finally, it notes that the field equations can be consolidated with Heisenberg's uncertainty principle to provide a unified description of gravity and quantum mechanics.
Engineering Mathematics-IV_B.Tech_Semester-IV_Unit-IIRai University
This document provides an overview of Unit II - Complex Integration from the Engineering Mathematics-IV course at RAI University, Ahmedabad. It covers key topics such as:
1) Complex line integrals and Cauchy's integral theorem which states that the integral of an analytic function around a closed curve is zero.
2) Cauchy's integral formula which can be used to evaluate integrals and find derivatives of analytic functions.
3) Taylor and Laurent series expansions of functions, including their regions of convergence.
4) The residue theorem which can be used to evaluate real integrals involving trigonometric or rational functions.
This document discusses Green's functions and their use in solving boundary value problems (BVPs) for ordinary differential equations (ODEs). It begins by defining linear BVPs and discussing how solutions can be constructed by decomposing the problem into simpler parts that are then reassembled. It then introduces Green's functions, which are solutions to associated BVPs with homogeneous boundary conditions and a Dirac delta function as the forcing term. The document shows that Green's functions can be used to find the general solution to an inhomogeneous BVP, and provides an example of deriving the Green's function for the ODE d2u/dx2 = f(x) on the interval [0,1] with boundary conditions
Tensors are mathematical objects that generalize scalars, vectors and matrices to higher dimensions. A tensor is a multidimensional array of numbers that transforms in a predictable way under changes of coordinates. Lower-rank tensors include scalars (rank-0), vectors (rank-1) and matrices (rank-2). Tensors are important in physics for formulating and solving problems involving quantities that have both magnitude and direction, such as mechanics, stress and elasticity.
The document provides information about curve tracing, including important definitions, methods of tracing curves, and examples. It defines key curve concepts like singular points, multiple points, points of inflection, and asymptotes. The method of tracing curves involves analyzing the equation for symmetry, points of intersection with axes, regions where the curve does not exist, and determining tangents and asymptotes. Four examples are provided to demonstrate how to apply this method to trace specific curves and identify their properties.
إنجليزي للصف الثاني الثانوي الترم الأول 2017 - موقع ملزمتيملزمتي
This document provides an overview of the aims and content of an English language unit about schools. The unit will focus on talking about school, reading about schools around the world, listening to a tour of a school building, and writing about one's own school. Key language points covered include using can/can't and must/mustn't to talk about rules and obligations, present simple tense, prepositions of location, and vocabulary related to school subjects and facilities. Lessons will also provide exercises to practice the target grammar and vocabulary.
مذكرة انجليزي + القصة للصف الأول الإعدادي الترم الأول 2017 - موقع ملزمتيملزمتي
The document provides guidance for members of a group in 7 points. It emphasizes acting with humility and kindness towards others according to the teachings of God. It encourages sharing knowledge and skills with less experienced members to help them improve, while also learning from others. Disputes should be avoided and resolved peacefully through respectful dialogue as believers in God.