# Download COMPUTER MODELING SIMULATION AND FORECASTING - CSC510 Past Question PDF

COMPUTER MODELING SIMULATION AND FORECASTING past question for the year 2018 examines 500-level Science and Technology students of FUTO, offering CSC510 course on their knowledge of model development, mathematical model, markov model, exponential model, cubic model, inverse model, CPU, linear programming, allocation problem

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## Past Questions related to COMPUTER MODELING SIMULATION AND FORECASTING

Year: 2019

School: University of Ilorin

Department: Science and Technology

Course Code: MAT308

Topics: modelling, model, Mathematical model, Malthus model

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA511

Topics: STATE, density function, binomial distribution, Markov, matrix, Markov chain, stochastic

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA433

Topics: operation research, programming, simplex method, weak duality theorem, linear programming, PERT, CPM

Year: 2012

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: CSC201

Topics: BASIC, Flowchart, FORTRAN, ALU, CPU

Year: 2021

School: Air Force Institute of Technology

Department: Science and Technology

Course Code: CSC102

Topics: Problem Solving, pseudocode, flowchart, algorithm, software design model, control structures, algorithm constructs, sequence, data types, object oriented design, operators

Year: 2017

School: Nnamdi Azikiwe University

Department: Science and Technology

Course Code: CSC101

Topics: Computer science, BASIC programming, binary system, logic gate, flow chart, compilers, storage device, input device, memory, number system, CPU, computer generation

Year: 2020

School: University of Benin

Department: Science and Technology

Course Code: MTH110

Topics: Sets, binary operation, partial fractions, mathematical induction, real numbers, remainder theorem, factor theorem, polynomial, mapping, complex number, Argand diagram, trigonometric function, sequence, series, recurrency, D'Alembert ratio test, permutation, combination

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: MTH201

Topics: domain, range, derivative, function, limit, continuity

Year: 2018

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: MTH202

Topics: vector, matrix, eigen, cramer rule

Year: 2017

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: MTH202

Topics: matrix, vector, cayley-hamiliton, eigen

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: EVT407

Topics: statistical interference, experimental error, pig, piggery, fish, linear model, ANOVA, Bernoulli trial

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA331

Topics: regression, variance, linear model, partial correlation

Year: 2018

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: CSC306

Topics: quadratic equation, Armstrong number, integer, BASIC, COBOL, ALGOL, Algorithm

Year: 2020

School: Federal University of Technology, Minna

Department: Science and Technology

Course Code: CPT121

Topics: programming language, BASIC, COBOL, System software, computer generation

### Books related to COMPUTER MODELING SIMULATION AND FORECASTING

Author: Hamdy Taha

Department: Science and Technology

Course Code: STA343

Topics: Operations Research, Operations Research models, linear programming, two-variable linear programming model, modelling, simplex method, sensitivity analysis, artificial starting solution, duality, post-optimal analysis, primal-dual relationships, simplex algorithms, transportation model, assignment mode, network mode, shortest-route problem, Minimal spanning tree algorithm, maximal flow model, critical path model, revised simplex method, revised algorithm, bounded-variables algorithm, parametric linear programming, goal programming, goal programming formulation, goal programming algorithm, integer linear programming, Heuristic programming, greedy heuristic, local search heuristic, metaheuristic, constriant programming, traveling salesperson problem, deterministic dynamic programming, dynamic programming, inventory modelling, probability, probability distribution, decision analysis, games, game theory, probabilistic inventory models, Markov chains, queuing systems, simulation modeling, classical optimization theory, Nonlinear programming algorithms

Author: JK Sharma

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: MM307

Topics: Linear Programming, Linear Programming Model Formulation, Graphical Method, Simplex Method, Duality in Linear Programming, Dual Linear Programming Problem, Sensitivity Analysis, Integer Linear Programming, Goal Programming, Transportation Problem, Assignment Problem, Decision Theory, Decision Trees, Theory of Games, game theory, Project Management, Deterministic Inventory Control Models, Probabilistic Inventory Control Models, Queuing Theory, Replacement Models, Maintenance Models, Markov Chains, Simulation, Sequencing Problems, Information Theory, Dynamic Programming, Classical Optimization Methods, Non-Linear Programming Methods, Revised Simplex Method, Dual-Simplex Method, Bounded Variables Linear Programming Problem, Parametric Linear Programming

Author: Yetunde Folajimi

Department: Science and Technology

Course Code: CSC103

Topics: Programming, computer programming, computer languages, programming process, compilation, coding, debugging, syntax, Programming languages, low-Programming languages, high-Programming languages, Modular Programming Languages, Structured Programming Language, Business Oriented Language, Object oriented programming language, Visual Programming Languages, Algorithm, Problem-Solving, Problem Solving Process, Algorithmic Problem Solving, Pseudo-Codes, Pseudocode, Flowcharts, Flowchart Symbols, Flowcharting, Programming Environment, flowchart, Variables, Reserved Words, operators, Data Types, functions, Data Type, Numbers Manipulation, character manipulation, String Manipulation, Decision-Making, Loops, Conditional Statements, arrays, Computer Files, file input, file output, File Operation Modes

Author: Abraham Silberschatz, Greg Gagne, Peter Galvin

School: Edo University

Department: Science and Technology

Course Code: CSC212

Topics: Operating System, Computer-System Organization, Computer-System Architecture, Operating-System Operations, Operating-System Structures, Operating-System Services, user interface, operating system interface, distributed systems, kernel data structures, Operating-System Debugging, process management, process scheduling, interprocess communication, Multicore Programming, Multithreading Models, Implicit Threading, CPU Scheduling, Multi-Processor Scheduling, Real-Time CPU Scheduling, Algorithm Evaluation, process synchronization, POSIX Synchronization, dead locks, memory management, Contiguous Memory Allocation, virtual memory, storage management, HDD Scheduling, NVM Scheduling, error detection, storage device management, RAID structure, file system, file-system interface, file-system implementation, file-system structure, file-system operations, directory implementation, Free-Space Management, File-System Internals, File-System Mounting, file sharing, virtual file systems, remote file systems, security, program threats, Cryptography, Role-Based Access Control, access matrix, virtual machines, networks, Distributed File Systems, remote file access, Linux system, Kernel Modules, programmer interface

Author: Michael Evans, Jeffrey Rosenthal

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA301

Topics: probability models, Conditional Probability, Venn diagram, Random Variables, Discrete Distributions, Continuous Distributions, Cumulative Distribution Functions, Joint Distributions, Simulating Probability Distributions, expectation, Inequalities, Jensen’s Inequality, Sampling Distributions, Limits, Central Limit Theorem, Monte Carlo Approximations, Normal Distribution Theory, Chi-Squared Distribution, Statistical Inference, statistical model, Data Collection, Finite Populations, Simple Random Sampling, Histograms, Survey Sampling, Descriptive Statistics, Plotting Data, Likelihood Inference, Maximum Likelihood Estimation, Distribution-Free Methods, Bayesian Inference, Bayesian Computations, Optimal Inferences, Optimal Unbiased Estimation, Optimal Hypothesis Testing, quantitative response, Simple Linear Regression Model, Bayesian Simple Linear Model, Multiple Linear Regression Model, Markov Chains, Gambler’s Ruin Problem, Markov Chain Monte Carlo, Martingales, Brownian Motion, Poisson Processes

Author: Steven Chapra

School: Edo University

Department: Engineering

Course Code: GEE216

Topics: Numerical Methods, mathematical modeling, MATLAB, mathematical operations, structured programming, errors, roundoff errors, truncation errors, total numerical errors, blunders, model errors, data uncertainty, roots, graphical methods, bracketing methods, bisection, roots, Simple Fixed-Point Iteration, Newton-Raphson, secant methods, Brent's method, MATLAB functions, optimization, linear systems, linear algebraic equations, matrices, Gauss elimination, Naive gauss elimination, tridiagonal systems, LU factorization, matrix inverse, system condition, error analysis, iterative methods, linear systems, nonlinear systems, Eugen values, power method, curve fitting, linear regression, random numbers, linear least-squares regression, polynomial regression, multiple linear regression, QR factorization, nonlinear regression, Fourier analysis, Continuous Fourier series, frequency domain, time domain, Fourier integral, Fourier transform, Discrete Fourier transform, power spectrum, polynomial interpolation, Newton interpolating polynomial, Lagrange interpolating polynomial, inverse interpolation, extrapolation, oscillations, splines, linear splines, quadratic splines, cubic spline, multidimensional interpolation, integration, differentiation, Numerical integration formulas, Newton-Cotes formulas, Trapezoidal rule, Simpson's rules, initial value problem, Runge-Kutta methods, adaptive Runge-Kutta methods, stiff systems, Boundary-value problems, shooting method, finite-difference methods, MATLAB function

Author: Gabriel Nagy

School: University of Ilorin

Department: Science and Technology

Course Code: MAT211

Topics: Ordinary Differential Equations, linear constant coefficient equations, initial value problem, integrating factor method, linear variable coefficient equation, Bernoulli equation, separable equation, Euler Homogenous equations, exact differential equation, exponential decay, Newton's cooling law, carbon-14 dating, nonlinear equations, second order linear equations, variable coefficients, Homogenous Constant Coefficients Equations, Euler Equidimensional Equation, Nonhomogeneous Equations, power series, Laplace transform, discontinous sources, Two-Dimensional Homogeneous Systems, Two-Dimensional Phase Portraits, Autonomous Systems, Stability, Boundary Value Problems, linear algebra, matrix algebra, Eigenvalues, Eigenvectors, Diagonalizable Matrices, Matrix Exponential, exponential function

Author: Anany Levitin, Soumen Mukherjee, Arup Kumar Bhattacharjee

Department: Science and Technology

Course Code: CSC242

Topics: algorithm design, algorithm analysis, Algorithm Efficiency, Algorithm Efficiency analysis, Brute Force, Exhaustive Search, Decrease-and-Conquer, Divide-and-Conquer, Transform-and-Conquer, Space and Time Trade-Offs, Dynamic Programming, Greedy Technique, Iterative Improvement, Algorithm Power, Algorithmic Problem Solving, Nonrecursive Algorithms mathematical analysis, recursive Algorithms mathematical analysis, Selection Sort, Bubble Sort, Sequential Search, Brute-Force String Matching, Closest-Pair Problems, Convex-Hull Problems, depth-First Search, Breadth-First Search, Insertion Sort, Topological Sorting, Variable-Size-Decrease Algorithms, Decrease-by-a-Constant-Factor Algorithms, binary search, Mergesort, quicksort, Binary Tree Traversals, Strassen’s Matrix Multiplication, Gaussian Elimination, presorting, Balanced Search Trees, Heaps, Heapsort, Horner’s Rule, Binary Exponentiation, Problem Reduction, B-Trees, hashing, Knapsack Problem, Optimal Binary Search Trees, Warshall’s Algorithm, Floyd’s Algorithm, Prim’s Algorithm, Kruskal’s Algorithm, Dijkstra’s Algorithm, Huffman Trees, huffman Codes, Simplex Method, Maximum-Flow Problem, Stable Marriage Problem, Lower-Bound Arguments, Decision Trees, Numerical Algorithms, Backtracking, Approximation Algorithms

Author: William Trench

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: MTH203

Topics: Differential Equations, first order equations, Linear First Order Equations, separable equations, exact equations, integrating factors, numerical methods, Euler's method, Improved Euler Method, Runge-Kutta Method, Autonomous Second Order Equations, Linear Second Order Equations, Homogeneous Linear Equations, Constant Coefficient Homogeneous Equations, Non homogeneous Linear Equations, power series, Laplace transforms, inverse Laplace transform, initial value problem, unit step function, convolution, Linear Higher Order Equations, Linear Systems of Differential Equations, Constant Coefficient Homogeneous Systems

Author: William Trench

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: MTH203

Topics: Differential Equations, first order equations, Linear First Order Equations, separable equations, exact equations, integrating factors, numerical methods, Euler's method, Improved Euler Method, Runge-Kutta Method, Autonomous Second Order Equations, Linear Second Order Equations, Homogeneous Linear Equations, Constant Coefficient Homogeneous Equations, Non homogeneous Linear Equations, power series, Laplace transforms, inverse Laplace transform, initial value problem, unit step function, convolution, Linear Higher Order Equations, Linear Systems of Differential Equations, Constant Coefficient Homogeneous Systems

Author: Robert Sebesta

School: Edo University

Department: Science and Technology

Course Code: CSC413

Topics: Programming Languages, programming environments, Pseudocodes, functional programming, computerizing business records, time sharing, dynamic languages, object-oriented programming, scripting languages, programming hybrid languages, lexical analysis, syntax analysis, parsing problem, recursive descent parsing, variables, datatypes, array types, associative arrays, arithmetic expressions, subprograms, abstract data types, data abstraction, concurrency, exception handling, event handling, functional programming languages, logic programming languages

Author: GeorgeThomas, Joel Hass, Christopher Heil, Maurice Weir

School: University of Ilorin

Department: Science and Technology

Course Code: MAT112

Topics: Calculus, Trigonometric Functions, functions, limits, continuity, One-Sided Limits, Differentiation Rules, Derivatives, chain rule, implict differentiation, related rates, linearization, differentials, Mean Value Theorem, integrals, Monotonic Functions, First Derivative Test, Concavity, Curve Sketching, Applied Optimization, antiderivatives, Sigma Notation, limits of Finite Sums, Definite integral, Transcendental Functions, inverse functions, natural logarithms, exponential functions, exponential change, seperable differential equation, Indeterminate Form, L’Hôpital’s Rule, Inverse Trigonometric Functions, Hyperbolic Functions, Integration by Parts, integration, trigonometric integrals, trigonometric substitution, Integral Tables, Computer Algebra Systems, probability, numerical integration, improper integrals, probability, First-Order Differential Equations, Slope Fields, Euler’s Method, First-Order Linear Equations, Infinite Sequences, infinite Series, integral test, comparison test, absolute convergence, power series, alternating series, Taylor series, Maclaurin series, Parametric Equations, Polar Coordinates, Conic Sections, vector, Partial Derivatives, Lagrange Multipliers, Multiple Integrals, vector fields, Path Independence, Conservative Fields, Potential Functions, Green’s Theorem, Surface Integrals, Stokes Theorem, Divergence Theorem

Author: Elka Block, Frank Purcell

School: University of Ilorin

Department: Science and Technology

Course Code: MAT112

Topics: Calculus, Trigonometric Functions, functions, limits, continuity, One-Sided Limits, Differentiation Rules, Derivatives, chain rule, implict differentiation, related rates, linearization, differentials, Mean Value Theorem, integrals, Monotonic Functions, First Derivative Test, Concavity, Curve Sketching, Applied Optimization, antiderivatives, Sigma Notation, limits of Finite Sums, Definite integral, Transcendental Functions, inverse functions, natural logarithms, exponential functions, exponential change, seperable differential equation, Indeterminate Form, L’Hôpital’s Rule, Inverse Trigonometric Functions, Hyperbolic Functions, Integration by Parts, integration, trigonometric integrals, trigonometric substitution, Integral Tables, Computer Algebra Systems, probability, numerical integration, improper integrals, probability, First-Order Differential Equations, Slope Fields, Euler’s Method, First-Order Linear Equations, Infinite Sequences, infinite Series, integral test, comparison test, absolute convergence, power series, alternating series, Taylor series, Maclaurin series, Parametric Equations, Polar Coordinates, Conic Sections, vector, Partial Derivatives, Lagrange Multipliers, Multiple Integrals, vector fields, Path Independence, Conservative Fields, Potential Functions, Green’s Theorem, Surface Integrals, Stokes Theorem, Divergence Theorem

Author: Frank Ayres, Elliott Mendelson

School: Nnamdi Azikiwe University

Department: Science and Technology

Course Code: MAT231

Topics: Calculus, linear coordinate systems, absolute value, inequalities, rectangular coordinate systems, lines, circles, parabolas, ellipses, hyperbolas, conic sections, functions, limits, continuity, continuous function, derivative, delta notation, chain rule, inverse functions, implicit differentiation, tangent lines, normal lines, critical numbers, relative maximum relative minimum, cure sketching, concavity, symmetry, points of inflection, vertical asymptotes, trigonometry, trigonometric functions, inverse trigonometric functions, rectilinear motion, circular motion, differentials, Newton's method, antiderivatives, definite integral, sigma notation, natural logarithm, exponential functions, logarithmic functions, L'hopital's rule, exponential growth, decay, half-life, integration by parts, trigonometric integrands, trigonometric substitutions, improper integrals, parametric equations, curvature, plane vectors, curvilinear motion, polar coordinates, infinite sequences, infinite series, geometric series, power series, uniform convergence, Taylor's series, Maclaurin series, partial derivatives, total differential, differentiability, chain rules, space vectors, directional derivatives, vector differentiation, vector integration, double integrals, iterated integrals, centroids, triple integrals, Separable Differential Equations, Homogeneous Functions, Integrating Factors, Second-Order Equations

Author: MAT212

Department: Science and Technology

Course Code: MAT212

Topics: Linear Algebra, Algebra of Matrices, matrix, Determinants, Matrix Inverse, Systems of Linear Equations, Vector Space, linear equation, Subspaces of Vector Spaces, Rank of a Matrix, Linear Transformations, Linear Transformation, Homogeneous Systems of Linear Equations, Non-Homogeneous Systems of Linear Equations, Eigenvalue, Eigenvector, Minimal Polynomial, Matrix Polynomial, Companion Matrix, Similar Matrix, Diagonal Matrix, Triangular Matrix

Department: Science and Technology

Course Code: STA351

Topics: generalized linear models, Model Fitting, Exponential Family, estimation, inference, normal linear models, Binary Variables, Logistic Regression, Nominal Logistic Regression, Ordinal Logistic Regression, Poisson Regression, Log-Linear Models, Survival Analysis, Clustered data, Longitudinal Data, Bayesian Analysis, Markov Chain Monte Carlo Methods

Author: MAT UI

Department: Science and Technology

Course Code: MAT111

Topics: linear equation, quadratic equation, cubic equation

Author: SO Akinola

Department: Science and Technology

Course Code: CSC235

Topics: Object Oriented Programming, Object Oriented Programming Paradigm, Objects, Programming, Data Abstraction, Encapsulation, class, Polymorphism, Java Programming, Java Platform, Java language, Java Variables, Java Objects, Java Operators, Java Control Structures, Java, Java Arrays, java Vectors, Java Strings Manipulations, Java Methods, Programming Inheritance, File Handling, Database Handling, Java Database Connectivity Application Programming Interface

Author: Elizabeth Peck, Geoffrey Vining, Douglas Montgomery

Department: Science and Technology

Course Code: STA351

Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation

Author: Ann Ryan, Douglas Montgomery, Elizabeth Peck, Geoffrey Vining