QUALITY ENGINEERING PROGRAM

Size: px
Start display at page:

Download "QUALITY ENGINEERING PROGRAM"

Transcription

1 QUALITY ENGINEERING PROGRAM Production engineering deals with the practical engineering problems that occur in manufacturing planning, manufacturing processes and in the integration of the facilities and systems for producing quality products with optimum expenditure. In general, production engineers are responsible for the development, design, analysis, planning, supervision and construction of consumer goods. Preparation for careers in production engineering requires good understanding of engineering fundamentals, material processing science and equipment, management and economics principles in order to develop proficiency in conceiving design and operating production processes. The department of production engineering offers Bachelor and Master's degree programs. The Bachelor program has been tailored to provide students with prominent knowledge on manufacturing processes and techniques as well as engineering management. The Master's degree program emphasis on manufacturing management and technology. The intention of program is to generate keen and skillful graduate engineers to be future leaders of manufacturing industry. Along with the theoretical and practical dexterity, the graduate engineers will also have enough management skill to lead and perform decision making to assist the organization, in order to enhance competitiveness. Currently, four Master's programs are being offered by the department: Leader for Manufacturing Competitiveness (LMC) Leader in Process Metallurgy Welding Engineering Quality Engineering

2 Master of Engineering Program in Quality Engineering CURRICULUM Total program credit Curriculum Component 40 credits Plan A Thesis A. Foundation Courses 9 credits B. Statistical Techniques Courses 6 credits C. Quality Management System Courses 6 credits D. Elective Courses 6 credits E. Seminar 1 credits F. Thesis 12 credits Plan B Comprehensive Examination A. Foundation Courses 9 credits B. Statistical Techniques Courses 6 credits C. Quality Management System Courses 12 credits D. Elective Courses 6 credits E. Seminar 1 credits F. Industrial Research Project 6 credits Plan A Plan B 1. Foundation Courses 9 credits 9 credits PRE 675 Total Quality Management 3(3-0-9) PRE 671 Advanced Engineering Statistics 3(3-0-9) QUE 502 Introduction to Quality Engineering 3(3-0-9) 2. Statistical Techniques Courses 6 credits 6 credits PRE 678 Design and Analysis of Experiment 3(3-0-9) QUE 501 Matrices and Vector for Quality Engineering 3(3-0-9) QUE 511 Applied Regression Analysis 3(3-0-9) QUE 512 Introduction to Time Series 3(3-0-9) QUE 513 Applied Multivariate Analysis 3(3-0-9) QUE 612 Reliability Engineering 3(3-0-9) QUE 619 Special Topics in Statistical Techniques 3(3-0-9) 3. Quality Management System Courses 6 credits 12 credits PRE 679 Advanced Quality Assurance 3(3-0-9) QUE 521 Statistical and Engineering Process Control 3(3-0-9) QUE 522 Continuous Process Improvement 3(3-0-9) QUE 621 Advanced Method for Quality Improvement 3(3-0-9) QUE 622 Quality Planning for New Products and Services 3(3-0-9) QUE 623 Strategic Quality Management 3(3-0-9) QUE 624 Quality Product and Process Design 3(3-0-9) QUE 629 Special Topics in Quality Management Systems 3(3-0-9) 410 The Graduate Bulletin

3 4. Elective Courses 6 credits 6 credits 4.1 Engineering Systems PRE 664 Design and Analysis of Manufacturing Systems 3(3-0-9) PRE 674 Systems Optimization and Analysis for Manufacturing 3(3-0-9) QUE 531 Facility Planning 3(3-0-9) QUE 532 Introduction to Stochastic Processes 3(3-0-9) QUE 631 Queuing Theory and Stochastic Modeling 3(3-0-9) QUE 632 Simulation Modeling and Analysis 3(3-0-9) QUE 633 Supply Chain Management 3(3-0-9) QUE 639 Special Topics in Engineering Systems 3(3-0-9) 4.2 Decision Sciences Courses QUE 649 Special Topics in Decision Making 3(3-0-9) QUE 641 Analysis of Investments 3(3-0-9) QUE 642 Introduction to Decision Science 3(3-0-9) QUE 643 Systems Evaluation 3(3-0-9) 4.3 Others XXX xxx Free electives 3(3-0-9) 5. Seminar 1 credits 1 credits QUE 691 Seminar 1(1-0-3) 6. Thesis / Industrial Research Project 12 credits 6 credits QUE 692 Thesis 12( ) QUE 693 Industrial Research Project * 6( ) * Student study Plan B who pass Comprehensive Examination 70 percentage. The Graduate Bulletin

4 STUDY PLAN Plan A Thesis First Year First Semester PRE 675 Total Quality Management 3 (3-0-9) PRE 671 Advanced Engineering Statistics 3 (3-0-9) XXX XXX Quality Management System Elective 3 (3-0-9) XXX XXX Elective 3 (3-0-9) Total 12 ( ) Second Semester QUE 502 Introduction to Quality Engineering 3 (3-0-9) XXX XXX Statistical Techniques and Mathematics Elective 3 (3-0-9) QUE 691 Seminar 1(1-0-3) QUE 692 Thesis 3 (0-6-12) Total 10 (7-6-33) Second Year First Semester XXX XXX Statistical Techniques and Mathematics Elective 3 (3-0-9) XXX XXX Quality Control and Management Systems Elective 3 (3-0-9) QUE 692 Thesis 3 (0-6-12) Total 9 (6-6-30) Second Semester XXX XXX Elective 3 (3-0-9) QUE 692 Thesis 6 ( ) Total 9 ( ) 412 The Graduate Bulletin

5 Plan B Comprehensive Examination First Year First Semester PRE 675 Total Quality management 3 (3-0-9) PRE 671 Advanced Engineering Statistics 3 (3-0-9) XXX XXX Quality Management System Elective 3 (3-0-9) XXX XXX Elective 3 (3-0-9) Total 12 ( ) Second Semester QUE 502 Introduction to Quality Engineering 3 (3-0-9) XXX XXX Statistical Techniques and Mathematics Elective 3 (3-0-9) XXX XXX Quality Management System Elective 3 (3-0-9) QUE 691 Seminar 1(1-0-3) Total 10 ( ) Second Year First Semester XXX XXX Statistical Techniques and Mathematics Elective 3 (3-0-9) XXX XXX Quality Management System Elective 3 (3-0-9) QUE 693 Industrial Research Project 3(0-6-12) Total 9 (6-6-30) Second Semester XXX XXX Quality Control and Management System Elective 3 (3-0-9) XXX XXX Elective 3 (3-0-9) QUE 693 Industrial Research Project 3(0-6-12) Total 9 (6-6-30) The Graduate Bulletin

6 COURSE DESCRIPTIONS Foundation Courses PRE 671 Advanced Engineering Statistics 3 (3-0-9) Modeling and Analysis of Uncertainty: random variables, transformation, simple random processes and their probability laws; Probability assessment and decision analysis; Inferential statistical techniques ; t, z, ANOVA, nonparamatric statistics. Simple linear regression analysis. PRE 675 Total Quality Management 3 (3-0-9) Study broad management skills and concepts for total quality management; an approach to quality encompassing management strategy, outlook, commitment, and methods applicable in any culture. Encompasses tools and approaches for quality management, problem solving, and improvement activities through lectures, readings, applications (including written reports), and participating in a workshop. QUE 502 Introduction to Quality Engineering 3 (3-0-9) Introduction to statistical based quality improvement methods useful in industrial settings; observational methods and design of experiment; experimentation to discover influential factors and to analyze sources of variation; Parameter design and Tolerance design. Statistical Technique and Mathematics Courses PRE 678 Design and Analysis of Experiments 3 (3-0-9) Applications of DOE for IE. Key principles of experimental design. Choice of the factors and choice of sample sizes. Single factor experiment. Factorial design. Confounding. 2k factorial design. Fractional factorial design. Process optimization through Response Surface Methodology (RSM). Nested design. QUE 501 Matrices and Vector for Quality Engineering 3 (3-0-9) Prerequisite: QUE 501 Matrix addition and matrix subtraction. Scalar multiplication and matrix multiplication. Row-echelon form. Canonical form. Elementary row and column operation, Rank. Simultaneous linear equations, Consistency, Matrix Notation, Theory of solution, Gaussian elimination algorithm. Square matrices, Diagonal matrices, Triangle matrices, Scalar matrices, Identity, Inverse matrices, Properties of inverse. Determinants, Expansion by cofactor, Properties of determinants, Inversion by determinant, Inversion by elementary operations. Vectors: Dimension Linear dependence and independence, Linear combinations, Properties of linearly dependence vectors. Eigenvalue and eigenvector, The Cayley-Hamilton Theorem. Vector in 2 and 3 dimensions, Norm of vector, Dot product, direction angle and direction cosine. Cross product. Triple product. Line and Plane in 3 dimension. QUE 511 Applied Regression Analysis 3 (3-0-9) An introduction to regression with emphasis on the quality engineering aspects. Begins with fitting a the regression line, both simple and multiple, converts this problem into matrix terms and the proceeds to fitting and evaluation of general linear and nonlinear models. Coefficient of determination and correlation analysis. QUE 512 Introduction to Time Series 3 (3-0-9) Autocorrelation, element of spectral analysis; dynamic models; autoregressive and moving average models; identification and fitting; forecasting; seasonal adjustment; application in manufacturing. 414 The Graduate Bulletin

7 QUE 513 Applied Multivariate Analysis 3 (3-0-9) Prerequisite: QUE 501 Multi-normal distribution, estimation of mean and covariance matrix; Wishart distribution; distribution of partial and multiple correlation coefficients; Hotelling s T and Oslash; principal component. QUE 611 Response Surface Methodology 3 (3-0-9) An introduction to response surface method and its applications. Topics include steepest ascent, canonical analysis, designs, and optimality criteria. QUE 612 Reliability Engineering 3 (3-0-9) Engineering reliability, analysis of failure data, Weibull and Exponential distribution estimate of hazard rates and failure distributions of reliability of components and/or systems, acceptance sampling plan for quality control. Engineering design for reliability problem. QUE 619 Special Topics in Statistical Techniques 3 (3-0-9) Study of the updated and interesting topics in statistical techniques related to quality planning, control, and industry interests. Quality Management Courses PRE 679 Advanced Quality Assurance 3 (3-0-9) Evolution of quality concept. Customer concept and customer needs identification. Quality Function Development (QFD). Quality assurance in marketing, design, production and after-sales. Quality planning and quality audit. Statistical techniques for quality assurance. QUE 521 Statistical and Engineering Process Control 3 (3-0-9) Concept and Philosophy of process control. Measurement system analysis Shewhart control chart CUSUM and EWMA chat Dynamic process control. Economic considerations in process control. Process capability analysis. QUE 522 Continuous Process Improvement 3 (3-0-9) Quality and Productivity. Philosophy and systems that lead to continuous improvement of product and process identification of non-value added activity. Source control, JIT manufacturing and KAIZEN techniques for planning and managing team projects, integrating the concepts of total quality, data based decision making and resource management. QUE 621 Advanced Methods for Quality Improvement 3 (3-0-9) Definition of quality improvement. Problem Solving process, Six sigma system. Statistical methodology for root causes identification. Statistical quality improvement. Taguchi s contribution and statistical consequences. QUE 622 Quality Planning for New Products and Services 3 (3-0-9) Customer behavior and Voice of the customer. Cross-functional team-based methods and techniques for identifying the quality appropriate for customers, and for deploying that quality into the design, development, production and delivery of new services and products, including quality function deployment. Design for Six Sigma (DFSS). QUE 623 Strategic Quality Management Planning 3 (3-0-9) Concepts, methods, and techniques for quality driven strategic improvement planning, including the development, deployment, coordination, measurement, execution and review plans; emphasis is equally on objectives and on the mean to accomplish the objectives. The Graduate Bulletin

8 QUE 624 Quality Product and Process Design 3 (3-0-9) Quality engineering by robust design of products and processes. Development of an integrated systems to prepare product and process specifications for increased quality and reliability. QUE 629 Special Topics in Quality Management Systems 3 (3-0-9) Study of the updated and interesting topics in statistical techniques related to quality planning, control, and industry interests. Electives Courses Engineering System Courses PRE 664 Design and Analysis of Manufacturing Systems 3 (3-0-9) Covers a broad range of technique and tools relevant to the design, analysis, development, implementation, operation, and control of manufacturing systems. PRE 674 Systems Optimization and Analysis for Manufacturing 3 (3-0-9) Introduction to dynamic systems, control, and mathematical programming. Discrete and continuous-time linear systems, optimal control and dynamic programming, linear programming, network flow problems, integer and quadratic programming, simulation, and computer applications from manufacturing processes and systems. QUE 531 Facilities Planning 3 (3-0-9) Introduction to plant location. Location analysis. Defining requirements. Developing Layout. Material Handling. System evaluating facility plans. QUE 532 Stochastic Processes 3 (3-0-9) Markov chains: classification, recurrence, transience, limit theory. Renewal theory, Markov process, birth-death processes. Application to queuing, branching, and other models in science, engineering and business. QUE 631 Queuing Theory and Stochastic Modeling 3 (3-0-9) Reliability Theory; coherent systems and coherent systems and reliability bounds. Markovian queues. Steady-state behavior of general services time queues. Priority queues. Approximation methods and algorithms for complex queues. Simulation. Dynamic programming; application to inventory and queuing. QUE 632 Simulation Modeling and Analysis 3 (3-0-9) Applications of interactive data analysis and simulation modeling techniques to the design and analysis of systems in the manufacturing, distribution and service sectors. Emphasis on data analysis, model building, and evaluation of alternative designs. QUE 633 Supply Chain Management 3 (3-0-9) An Overview of Supply Chain Management Purposes and Processes. Components of a Competitive Supply Chain. Organizational Structures and the Supply Chain. Supply Chain Design. Evaluation and Measurement Models. Insourcing/Outsourcing Decisions. Relationship Analysis. QUE 639 Special Topics in Engineering Systems 3 (3-0-9) Study of the updated and interesting topics in statistical techniques related to quality planning, control, and industry interests. 416 The Graduate Bulletin

9 Decision Science Courses QUE 641 Analysis of Investment 3 (3-0-9) A course in quantitative methods for analyzing investments in technological environments. Replacement models; comparison of alternative investment model; risk analysis. QUE 642 Introduction to Decision Analysis 3 (3-0-9) Overview of modeling techniques and methods used indecision analysis, including multi-attribute utility models, decision trees, and Bayesian models. Psychological components of component in decision-making are discussed. Elicitation techniques for model building are emphasized. Practical applications through real world model building are described and conducted. QUE 643 System Evaluation 3 (3-0-9) Design of systems for evaluating the effectiveness (efficiency, benefits, costs, resource utilization, contribution) of systems. Measurement, analysis and interpretation of results including implication for engineering research. QUE 649 Special Topics in Decision Making 3 (3-0-9) Study of the updated and interesting topics in statistical techniques related to quality planning, control, and industry interests. Other XXX xxx Free electives 3 (3-0-9) Students are able to choose a course or courses from other programs. The course/s should be related to students researches or their interests. This should be performed under supervision of students advisors. Seminar QUE 691 Seminar 1 (1-0-3) Discusses research topics related to Quality Engineering with faculty members and experts. Thesis and Industrial Research Project QUE 692 Thesis 12 ( ) Individual theoretical or industrial research has been carried out under the supervision of a faculty member in the related approved topics, and then related approved topics, and then write up the thesis and perform oral examination. QUE 693 Industrial Research Project 6 ( ) Students complete the industrial research project in manufacturing industries with in an academic year. They must write up the industrial research project report and perform oral examination. The Graduate Bulletin

Quality Engineering and Applied Statistics

Quality Engineering and Applied Statistics List of Recommended Courses for IOE MS/MSE Degrees in Quality Engineering and Applied Statistics Please note that only a subset of the courses listed below will be offered in any given year so that these

More information

Department of Industrial Engineering

Department of Industrial Engineering Department of Industrial Engineering Master of Engineering Program in Industrial Engineering (International Program) M.Eng. (Industrial Engineering) Plan A Option 2: Total credits required: minimum 39

More information

2014-2015 The Master s Degree with Thesis Course Descriptions in Industrial Engineering

2014-2015 The Master s Degree with Thesis Course Descriptions in Industrial Engineering 2014-2015 The Master s Degree with Thesis Course Descriptions in Industrial Engineering Compulsory Courses IENG540 Optimization Models and Algorithms In the course important deterministic optimization

More information

Statistics Graduate Courses

Statistics Graduate Courses Statistics Graduate Courses STAT 7002--Topics in Statistics-Biological/Physical/Mathematics (cr.arr.).organized study of selected topics. Subjects and earnable credit may vary from semester to semester.

More information

STATISTICAL SCIENCES (STAT)

STATISTICAL SCIENCES (STAT) Statistical Sciences (STAT) 1 STATISTICAL SCIENCES (STAT) STAT 206. Data Analysis and Statistics for Elementary Education. 3 Semester course; 3 lecture hours. 3 credits. Prerequisite: Passing score on

More information

MATHEMATICS (MATH) Calendar

MATHEMATICS (MATH) Calendar MATHEMATICS (MATH) This is a list of the Mathematics (MATH) courses available at KPU. For information about transfer of credit amongst institutions in B.C. and to see how individual courses transfer, go

More information

Master of Engineering Program in Logistics and Supply Chain Systems Engineering (International Program)

Master of Engineering Program in Logistics and Supply Chain Systems Engineering (International Program) Master of Engineering Program in Logistics and Engineering (International Program) Curriculum Title Master of Engineering in Logistics and Engineering (LSCSE) (International Program) Degree Title Master

More information

MATH 0097 INTRODUCTORY ALEGBRA 3-0-3

MATH 0097 INTRODUCTORY ALEGBRA 3-0-3 MATH Mathematics MATH 0090 MATH STUDY SKILLS 1-0-1 Strategies for learning mathematics, improving math study skills, and reducing math anxiety. Designed for students who have difficulty in basic mathematics

More information

COLLEGE OF ENGINEERING

COLLEGE OF ENGINEERING COLLEGE OF ENGINEERING Department of Industrial Engineering and Engineering Management Master of Science in Engineering Management Program Introduction Admission Requirements Program Options Program Goals

More information

Graduate Programs in Statistics

Graduate Programs in Statistics Graduate Programs in Statistics Course Titles STAT 100 CALCULUS AND MATR IX ALGEBRA FOR STATISTICS. Differential and integral calculus; infinite series; matrix algebra STAT 195 INTRODUCTION TO MATHEMATICAL

More information

Mathematics (MAT) Faculty Mary Hayward, Chair Charles B. Carey Garnet Hauger, Affiliate Tim Wegner

Mathematics (MAT) Faculty Mary Hayward, Chair Charles B. Carey Garnet Hauger, Affiliate Tim Wegner Mathematics (MAT) Faculty Mary Hayward, Chair Charles B. Carey Garnet Hauger, Affiliate Tim Wegner About the discipline The number of applications of mathematics has grown enormously in the natural, physical

More information

BRANCH: Industrial Engineering and Management YEAR: II. Code No. S. No.

BRANCH: Industrial Engineering and Management YEAR: II. Code No. S. No. BRANCH: Industrial Engineering and Management YEAR: II THEORY SEMESTER: III Subject L T MM Ex. Hrs. 1. 3IEM1 Statistics and Probability 3 1 100 3 2. 3IEM2 Mechanics Of Solid 3 1 100 3 3. 3IEM3 Introduction

More information

Mathematics (MAT) MAT 061 Basic Euclidean Geometry 3 Hours. MAT 051 Pre-Algebra 4 Hours

Mathematics (MAT) MAT 061 Basic Euclidean Geometry 3 Hours. MAT 051 Pre-Algebra 4 Hours MAT 051 Pre-Algebra Mathematics (MAT) MAT 051 is designed as a review of the basic operations of arithmetic and an introduction to algebra. The student must earn a grade of C or in order to enroll in MAT

More information

Service courses for graduate students in degree programs other than the MS or PhD programs in Biostatistics.

Service courses for graduate students in degree programs other than the MS or PhD programs in Biostatistics. Course Catalog In order to be assured that all prerequisites are met, students must acquire a permission number from the education coordinator prior to enrolling in any Biostatistics course. Courses are

More information

Doctor of Philosophy in Engineering Management (PhDEM)

Doctor of Philosophy in Engineering Management (PhDEM) Doctor of Philosophy in Engineering Management (PhDEM) Program Goals and Objectives The main goals and objectives of the doctoral program in Engineering Management are: 1. To prepare graduate engineers

More information

Statistical Quality Control: A Modern Introduction

Statistical Quality Control: A Modern Introduction Sixth Edition Statistical Quality Control: A Modern Introduction International Student Version DOUGLAS C. MONTGOMERY Arizona State University WILEY John Wiley & Sons, Inc. PART 1 INTRODUCTION 2.7 Examples

More information

MATHEMATICS (413) Chairperson: Christopher Thomas, Ph.D.

MATHEMATICS (413) Chairperson: Christopher Thomas, Ph.D. MATHEMATICS (413) 662-5367 Chairperson: Christopher Thomas, Ph.D. Email: C.Thomas@mcla.edu PROGRAMS AVAILABLE BACHELOR OF ARTS IN MATHEMATICS CONCENTRATION IN MIDDLE SCHOOL MATHEMATICS EDUCATION CONCENTRATION

More information

Learning outcomes. Knowledge and understanding. Ability and Competences

Learning outcomes. Knowledge and understanding. Ability and Competences Syllabus Master s Programme in Statistics and Data Mining 120 ECTS Credits Aim The rapid growth of databases provides scientists and business people with vast new resources. This programme meets the challenges

More information

Linear Dependence Tests

Linear Dependence Tests Linear Dependence Tests The book omits a few key tests for checking the linear dependence of vectors. These short notes discuss these tests, as well as the reasoning behind them. Our first test checks

More information

Matrix Algebra for Applied Economics

Matrix Algebra for Applied Economics Matrix Algebra for Applied Economics Shayle R. Searle Departments of Biometrics and of Statistical Science Cornell University LoisSchertzWillett Food and Resource Economics Department University of Florida

More information

Industrial and Systems Engineering and Engineering Management

Industrial and Systems Engineering and Engineering Management The University of Alabama in Huntsville 1 Industrial and Systems Engineering and Engineering Management N143 Technology Hall Telephone: 256.824.6256 Email: isegrad@uah.edu Chair: Paul D. Collopy, Professor

More information

Master of Arts in Mathematics

Master of Arts in Mathematics Master of Arts in Mathematics Administrative Unit The program is administered by the Office of Graduate Studies and Research through the Faculty of Mathematics and Mathematics Education, Department of

More information

Department of Industrial Engineering

Department of Industrial Engineering Department of Industrial Engineering Master of Engineering Program in Engineering Management (International Program) M.Eng. (Engineering Management) Plan A Option 2: Total credits required: minimum 36

More information

Learning outcomes. Knowledge and understanding. Competence and skills

Learning outcomes. Knowledge and understanding. Competence and skills Syllabus Master s Programme in Statistics and Data Mining 120 ECTS Credits Aim The rapid growth of databases provides scientists and business people with vast new resources. This programme meets the challenges

More information

MATHEMATICS. Administered by the Department of Mathematical and Computing Sciences within the College of Arts and Sciences. Degree Requirements

MATHEMATICS. Administered by the Department of Mathematical and Computing Sciences within the College of Arts and Sciences. Degree Requirements MATHEMATICS Administered by the Department of Mathematical and Computing Sciences within the College of Arts and Sciences. Paul Feit, PhD Dr. Paul Feit is Professor of Mathematics and Coordinator for Mathematics.

More information

Precalculus REVERSE CORRELATION. Content Expectations for. Precalculus. Michigan CONTENT EXPECTATIONS FOR PRECALCULUS CHAPTER/LESSON TITLES

Precalculus REVERSE CORRELATION. Content Expectations for. Precalculus. Michigan CONTENT EXPECTATIONS FOR PRECALCULUS CHAPTER/LESSON TITLES Content Expectations for Precalculus Michigan Precalculus 2011 REVERSE CORRELATION CHAPTER/LESSON TITLES Chapter 0 Preparing for Precalculus 0-1 Sets There are no state-mandated Precalculus 0-2 Operations

More information

Statistical Quality Control. A Modern Introduction. 7th Edition International Student Version

Statistical Quality Control. A Modern Introduction. 7th Edition International Student Version Brochure More information from http://www.researchandmarkets.com/reports/2586555/ Statistical Quality Control. A Modern Introduction. 7th Edition International Student Version Description: The Seventh

More information

SALEM COMMUNITY COLLEGE Carneys Point, New Jersey 08069 COURSE SYLLABUS COVER SHEET. Action Taken (Please Check One) New Course Initiated

SALEM COMMUNITY COLLEGE Carneys Point, New Jersey 08069 COURSE SYLLABUS COVER SHEET. Action Taken (Please Check One) New Course Initiated SALEM COMMUNITY COLLEGE Carneys Point, New Jersey 08069 COURSE SYLLABUS COVER SHEET Course Title Course Number Department Linear Algebra Mathematics MAT-240 Action Taken (Please Check One) New Course Initiated

More information

Learning outcomes. Knowledge and understanding. Ability and Competences. Evaluation capability and scientific approach

Learning outcomes. Knowledge and understanding. Ability and Competences. Evaluation capability and scientific approach Syllabus Master s Programme in Statistics and Data Mining 120 ECTS Credits Aim The rapid growth of databases provides scientists and business people with vast new resources. This programme meets the challenges

More information

MATH 130--Linear Algebra

MATH 130--Linear Algebra Clark University Clark Digital Commons Syllabus Share Special Collections Fall 2015 MATH 130--Linear Algebra David Joyce Clark University, djoyce@clarku.edu Follow this and additional works at: http://commons.clarku.edu/syllabi

More information

McGraw-Hill s Statistics for Engineers and Scientists by William Navidi

McGraw-Hill s Statistics for Engineers and Scientists by William Navidi Correlation Guide for Users of Walpole et al., Probability and Statistics for Engineers and Scientists, 7/e corresponding to McGraw-Hill s Statistics for Engineers and Scientists by William Navidi Chapter

More information

HUDSONVILLE HIGH SCHOOL COURSE FRAMEWORK

HUDSONVILLE HIGH SCHOOL COURSE FRAMEWORK HUDSONVILLE HIGH SCHOOL COURSE FRAMEWORK COURSE / SUBJECT P r e c a l c u l u s ( B ) KEY COURSE OBJECTIVES/ENDURING UNDERSTANDINGS OVERARCHING/ESSENTIAL SKILLS OR QUESTIONS Analytic Trigonometry Applications

More information

De La Salle University

De La Salle University The primary objective of the Ph.D. Mathematics program is to provide training for the development of research capabilities in Mathematics and its possible applications. Complementary to this main objective

More information

ANTALYA INTERNATIONAL UNIVERSITY INDUSTRIAL ENGINEERING COURSE DESCRIPTIONS

ANTALYA INTERNATIONAL UNIVERSITY INDUSTRIAL ENGINEERING COURSE DESCRIPTIONS ANTALYA INTERNATIONAL UNIVERSITY INDUSTRIAL ENGINEERING COURSE DESCRIPTIONS CORE COURSES MATH 101 - Calculus I Trigonometric functions and their basic properties. Inverse trigonometric functions. Logarithmic

More information

A Introduction to Matrix Algebra and Principal Components Analysis

A Introduction to Matrix Algebra and Principal Components Analysis A Introduction to Matrix Algebra and Principal Components Analysis Multivariate Methods in Education ERSH 8350 Lecture #2 August 24, 2011 ERSH 8350: Lecture 2 Today s Class An introduction to matrix algebra

More information

Pre-Calculus. Concepts: Relations and Functions. Distinguish between relations and functions, identify domain and range, evaluate f(c)

Pre-Calculus. Concepts: Relations and Functions. Distinguish between relations and functions, identify domain and range, evaluate f(c) Pre-Calculus Standards and Relations and Functions PC 1.4 PC 1.4 Distinguish between relations and functions, identify domain and range, evaluate f(c) Compose and find inverses of functions Determine if

More information

Program description for the Master s Degree Program in Mathematics and Finance

Program description for the Master s Degree Program in Mathematics and Finance Program description for the Master s Degree Program in Mathematics and Finance : English: Master s Degree in Mathematics and Finance Norwegian, bokmål: Master i matematikk og finans Norwegian, nynorsk:

More information

Advanced Engineering Mathematics Prof. Pratima Panigrahi Department of Mathematics Indian Institute of Technology, Kharagpur

Advanced Engineering Mathematics Prof. Pratima Panigrahi Department of Mathematics Indian Institute of Technology, Kharagpur Advanced Engineering Mathematics Prof. Pratima Panigrahi Department of Mathematics Indian Institute of Technology, Kharagpur Lecture No. # 06 Method to Find Eigenvalues and Eigenvectors Diagonalization

More information

CPSC Introduction to Computers CPSC Tech Prob Solving Using MATLAB CPSC Algorithm & Computing w/python

CPSC Introduction to Computers CPSC Tech Prob Solving Using MATLAB CPSC Algorithm & Computing w/python CPSC 120 - Introduction to Computers Prerequisite: In this survey course, the student learns of the application of computers in society, considers their social and economic implications, examines questions

More information

Algebra 2 First Semester Lesson Plans

Algebra 2 First Semester Lesson Plans Section Topic(s) and Vocabulary Homework Date 1-1 Properties of Real Numbers Graphing real numbers. Properties of real numbers. Opposite, additive inverse, reciprocal, #2-60 EOE 1-2 Algebraic Expressions

More information

Linear Algebra. Introduction

Linear Algebra. Introduction Linear Algebra Caren Diefenderfer, Hollins University, chair David Hill, Temple University, lead writer Sheldon Axler, San Francisco State University Nancy Neudauer, Pacific University David Strong, Pepperdine

More information

List of Courses for the Masters of Engineering Management Programme. (i)compulsory Courses

List of Courses for the Masters of Engineering Management Programme. (i)compulsory Courses MASTER OF ENGINEERING MANAGEMENT (MEM) PROGRAMME List of Courses for the Masters of Engineering Management Programme (i)compulsory Courses EM 501 Organizational Systems 3 EM 502 Accounting and Financial

More information

Mathematics INDIVIDUAL PROGRAM INFORMATION 2014 2015. 866.Macomb1 (866.622.6621) www.macomb.edu

Mathematics INDIVIDUAL PROGRAM INFORMATION 2014 2015. 866.Macomb1 (866.622.6621) www.macomb.edu Mathematics INDIVIDUAL PROGRAM INFORMATION 2014 2015 866.Macomb1 (866.622.6621) www.macomb.edu Mathematics PROGRAM OPTIONS CREDENTIAL TITLE CREDIT HOURS REQUIRED NOTES Associate of Arts Mathematics 62

More information

Diablo Valley College Catalog 2014-2015

Diablo Valley College Catalog 2014-2015 Mathematics MATH Michael Norris, Interim Dean Math and Computer Science Division Math Building, Room 267 Possible career opportunities Mathematicians work in a variety of fields, among them statistics,

More information

Course Catalog - Spring 2015

Course Catalog - Spring 2015 Course Catalog - Spring 2015 Statistics Statistics Head of Department: Douglas G. Simpson Department Office: 101 Illini Hall, 725 South Wright St., Champaign Phone: 333-2167 www.stat.uiuc.edu STAT 100

More information

MAT Solving Linear Systems Using Matrices and Row Operations

MAT Solving Linear Systems Using Matrices and Row Operations MAT 171 8.5 Solving Linear Systems Using Matrices and Row Operations A. Introduction to Matrices Identifying the Size and Entries of a Matrix B. The Augmented Matrix of a System of Equations Forming Augmented

More information

Total Credits: 32 credits are required for master s program graduates and 53 credits for undergraduate program.

Total Credits: 32 credits are required for master s program graduates and 53 credits for undergraduate program. Middle East Technical University Graduate School of Social Sciences Doctor of Philosophy in Business Administration In the Field of Quantitative Methods Aim of the PhD Program: Quantitative Methods is

More information

SysMIC Syllabus. M1.1 Introduction to MATLAB (10 hours) and Networks (20 hours)

SysMIC Syllabus. M1.1 Introduction to MATLAB (10 hours) and Networks (20 hours) SysMIC Syllabus Module 1 M1.1 Introduction to MATLAB (10 hours) and Networks (20 hours) Introduction to MATLAB Assignment: Generating Spirograph patterns Networks 1 Assignment: Food webs Quizzes: Graphs

More information

MATH 423 Linear Algebra II Lecture 38: Generalized eigenvectors. Jordan canonical form (continued).

MATH 423 Linear Algebra II Lecture 38: Generalized eigenvectors. Jordan canonical form (continued). MATH 423 Linear Algebra II Lecture 38: Generalized eigenvectors Jordan canonical form (continued) Jordan canonical form A Jordan block is a square matrix of the form λ 1 0 0 0 0 λ 1 0 0 0 0 λ 0 0 J = 0

More information

SJSU SIX SIGMA CERTIFICATE

SJSU SIX SIGMA CERTIFICATE SJSU SIX SIGMA CERTIFICATE The revolutions in lean manufacturing and quality have swept the world and broadened into the disciplines of lean enterprise and six-sigma. Six Sigma s emphasis is on improving

More information

Georgia Department of Education

Georgia Department of Education Accelerated GPS Geometry/Advanced Algebra This is the second in a sequence of mathematics courses designed to prepare students to take AB or BC Advanced Placement Calculus. It includes right triangle trigonometry;

More information

List of Ph.D. Courses

List of Ph.D. Courses Research Methods Courses (5 courses/15 hours) List of Ph.D. Courses The research methods set consists of five courses (15 hours) that discuss the process of research and key methodological issues encountered

More information

MATHEMATICS (MATH) 3. Provides experiences that enable graduates to find employment in sciencerelated

MATHEMATICS (MATH) 3. Provides experiences that enable graduates to find employment in sciencerelated 194 / Department of Natural Sciences and Mathematics MATHEMATICS (MATH) The Mathematics Program: 1. Provides challenging experiences in Mathematics, Physics, and Physical Science, which prepare graduates

More information

October 21 st Mathematics Focus Session Reflective Questions for Consideration Prior to the Session

October 21 st Mathematics Focus Session Reflective Questions for Consideration Prior to the Session October 21 st Mathematics Focus Session Reflective Questions for Consideration Prior to the Session A.) In the Mathematical Education of Teachers the Conference

More information

Portable Assisted Study Sequence ALGEBRA IIA

Portable Assisted Study Sequence ALGEBRA IIA SCOPE This course is divided into two semesters of study (A & B) comprised of five units each. Each unit teaches concepts and strategies recommended for intermediate algebra students. The first half of

More information

Linear Algebra and Matrices

Linear Algebra and Matrices LECTURE Linear Algebra and Matrices Before embarking on a study of systems of differential equations we will first review, very quickly, some fundamental objects and operations in linear algebra.. Matrices

More information

Current Standard: Mathematical Concepts and Applications Shape, Space, and Measurement- Primary

Current Standard: Mathematical Concepts and Applications Shape, Space, and Measurement- Primary Shape, Space, and Measurement- Primary A student shall apply concepts of shape, space, and measurement to solve problems involving two- and three-dimensional shapes by demonstrating an understanding of:

More information

Presentation 3: Eigenvalues and Eigenvectors of a Matrix

Presentation 3: Eigenvalues and Eigenvectors of a Matrix Colleen Kirksey, Beth Van Schoyck, Dennis Bowers MATH 280: Problem Solving November 18, 2011 Presentation 3: Eigenvalues and Eigenvectors of a Matrix Order of Presentation: 1. Definitions of Eigenvalues

More information

3.2 The Characteristic Equation of a Matrix

3.2 The Characteristic Equation of a Matrix 32 The Characteristic Equation of a Matrix Let A be a 2 2 matrix; for example A = 2 8 If v is a vector in R 2, eg v = [2, 3], then we can think of the components of v as the entries of a column vector

More information

MSCA 31000 Introduction to Statistical Concepts

MSCA 31000 Introduction to Statistical Concepts MSCA 31000 Introduction to Statistical Concepts This course provides general exposure to basic statistical concepts that are necessary for students to understand the content presented in more advanced

More information

SOLUTIONS TO HOMEWORK #7, MATH 54 SECTION 001, SPRING 2012

SOLUTIONS TO HOMEWORK #7, MATH 54 SECTION 001, SPRING 2012 SOLUTIONS TO HOMEWORK #7, MATH 54 SECTION, SPRING JASON FERGUSON Beware of typos These may not be the only ways to solve these problems In fact, these may not even be the best ways to solve these problems

More information

MSCA 31000 Introduction to Statistical Concepts

MSCA 31000 Introduction to Statistical Concepts MSCA 31000 Introduction to Statistical Concepts This course provides general exposure to basic statistical concepts that are necessary for students to understand the content presented in more advanced

More information

Course goals: Students are expected to develop their basic mathematical skills sufficiently for further math and science courses.

Course goals: Students are expected to develop their basic mathematical skills sufficiently for further math and science courses. Science for Teachers 550BD Mathematics for Teachers Two Credit Hours ST 550AD-Math for Teachers I Instructor: Wm. D. Stone E-mail: william.stone@nmt.edu Office phone: (505) 835-5786 Course Designation:

More information

Mathematics Curriculum Review Worksheets

Mathematics Curriculum Review Worksheets Mathematics Curriculum Review Worksheets Table 1. ACT for Score Range 13-15 N 201 N 202 N 203 AF 201 A 201 A 202 F 201 G 201 G 202 G 203 S 201 S 202 Perform one-operation computation with whole numbers

More information

Cabrillo College Catalog 2015-2016

Cabrillo College Catalog 2015-2016 MATHEMATICS Natural and Applied Sciences Division Wanda Garner, Division Dean Division Office, Room 701 Jennifer Cass, Department Chair, (831) 479-6363 Aptos Counselor: (831) 479-6274 for appointment Watsonville

More information

Pre-Calculus Scope and Sequence

Pre-Calculus Scope and Sequence Pre-Calculus Scope and Sequence Tutor: Kim Nelson Text: PreCalculus, Larson/Hostetler, 6 th Edition Chapter 1: Functions and Their Graphs Sec. 1.1 Graphs of Equations Graphing using tables Intercepts Symmetry

More information

Industrial and Systems Engineering Master of Science Program Logistics and Supply Chain Management

Industrial and Systems Engineering Master of Science Program Logistics and Supply Chain Management Industrial and Systems Engineering Master of Science Program Logistics and Supply Chain Management Department of Integrated Systems Engineering The Ohio State University Logistics is the science of design,

More information

DATA ANALYTICS USING R

DATA ANALYTICS USING R DATA ANALYTICS USING R Duration: 90 Hours Intended audience and scope: The course is targeted at fresh engineers, practicing engineers and scientists who are interested in learning and understanding data

More information

COMPUTER AND INFORMATION TECHNOLOGY PROGRAM

COMPUTER AND INFORMATION TECHNOLOGY PROGRAM COMPUTER AND INFORMATION TECHNOLOGY PROGRAM PROGRAM TITLE DEGREE TITLE Master of Science in Industrial Education Program in Computer and Information Technology Master of Science in Industrial Education

More information

Math 210 Linear Algebra Fall 2014

Math 210 Linear Algebra Fall 2014 Math 210 Linear Algebra Fall 2014 Instructor's Name: Office Location: Office Hours: Office Phone: E-mail: Course Description This is a first course in vectors, matrices, vector spaces, and linear transformations.

More information

STATE UNIVERSITY HIGHER SCHOOL OF ECONOMICS LINEAR ALGEBRA

STATE UNIVERSITY HIGHER SCHOOL OF ECONOMICS LINEAR ALGEBRA STATE UNIVERSITY HIGHER SCHOOL OF ECONOMICS INTERNATIONAL COLLEGE OF ECONOMICS AND FINANCE SYLLABUS LINEAR ALGEBRA for Bachelor degree in Economics 080100.62 Dmitri D. Pervouchine Moscow 2009 Introduction

More information

MATHEMATICS (MAT) Programs Offered. Master of Science. Program Options

MATHEMATICS (MAT) Programs Offered. Master of Science. Program Options Mathematics 117 MATHEMATICS (MAT) 313 Stevenson Hall, (309) 438-8781 Math.IllinoisState.edu Chairperson: George F. Seelinger. Office: 313 Stevenson Hall. Graduate Program Directors: Alberto Delgado, Cynthia

More information

Review Jeopardy. Blue vs. Orange. Review Jeopardy

Review Jeopardy. Blue vs. Orange. Review Jeopardy Review Jeopardy Blue vs. Orange Review Jeopardy Jeopardy Round Lectures 0-3 Jeopardy Round $200 How could I measure how far apart (i.e. how different) two observations, y 1 and y 2, are from each other?

More information

ADVANCED LINEAR ALGEBRA FOR ENGINEERS WITH MATLAB. Sohail A. Dianat. Rochester Institute of Technology, New York, U.S.A. Eli S.

ADVANCED LINEAR ALGEBRA FOR ENGINEERS WITH MATLAB. Sohail A. Dianat. Rochester Institute of Technology, New York, U.S.A. Eli S. ADVANCED LINEAR ALGEBRA FOR ENGINEERS WITH MATLAB Sohail A. Dianat Rochester Institute of Technology, New York, U.S.A. Eli S. Saber Rochester Institute of Technology, New York, U.S.A. (g) CRC Press Taylor

More information

Math Department Student Learning Objectives Updated April, 2014

Math Department Student Learning Objectives Updated April, 2014 Math Department Student Learning Objectives Updated April, 2014 Institutional Level Outcomes: Victor Valley College has adopted the following institutional outcomes to define the learning that all students

More information

Industrial and Systems Engineering (ISE)

Industrial and Systems Engineering (ISE) Industrial and Systems Engineering (ISE) 1 Industrial and Systems Engineering (ISE) Courses ISE 100 Industrial Employment 0 Usually following the junior year, students in the industrial engineering curriculum

More information

Industrial and Systems Engineering Master of Science Program Supply Chain Management and Production Systems

Industrial and Systems Engineering Master of Science Program Supply Chain Management and Production Systems Industrial and Systems Engineering Master of Science Program Supply Chain Management and Production Systems Department of Integrated Systems Engineering The Ohio State University The supply chain is the

More information

Math Final Review Dec 10, 2010

Math Final Review Dec 10, 2010 Math 301-001 Final Review Dec 10, 2010 General Points: Date and time: Monday, December 13, 10:30pm 12:30pm Exam topics: Chapters 1 4, 5.1, 5.2, 6.1, 6.2, 6.4 There is just one fundamental way to prepare

More information

Thinkwell s Homeschool Algebra 2 Course Lesson Plan: 34 weeks

Thinkwell s Homeschool Algebra 2 Course Lesson Plan: 34 weeks Thinkwell s Homeschool Algebra 2 Course Lesson Plan: 34 weeks Welcome to Thinkwell s Homeschool Algebra 2! We re thrilled that you ve decided to make us part of your homeschool curriculum. This lesson

More information

Math 302 Outcome Statements

Math 302 Outcome Statements Math 302 Outcome Statements 1 Vectors in the Plane and Three-Dimensional Space (a) directed line segment (b) vector (c) position vector (d) vector addition (e) zero vector (f) scalar multiplication (g)

More information

Curriculum - Doctor of Philosophy

Curriculum - Doctor of Philosophy Curriculum - Doctor of Philosophy CORE COURSES Pharm 545-546.Pharmacoeconomics, Healthcare Systems Review. (3, 3) Exploration of the cultural foundations of pharmacy. Development of the present state of

More information

Overview of Math Standards

Overview of Math Standards Algebra 2 Welcome to math curriculum design maps for Manhattan- Ogden USD 383, striving to produce learners who are: Effective Communicators who clearly express ideas and effectively communicate with diverse

More information

LS.4 Decoupling Systems

LS.4 Decoupling Systems LS.4 Decoupling Systems. Changing variables. A common way of handling mathematical models of scientific or engineering problems is to look for a change of coordinates or a change of variables which simplifies

More information

Sergei Silvestrov, Christopher Engström, Karl Lundengård, Johan Richter, Jonas Österberg. November 13, 2014

Sergei Silvestrov, Christopher Engström, Karl Lundengård, Johan Richter, Jonas Österberg. November 13, 2014 Sergei Silvestrov,, Karl Lundengård, Johan Richter, Jonas Österberg November 13, 2014 Analysis Todays lecture: Course overview. Repetition of matrices elementary operations. Repetition of solvability of

More information

Boardworks KS4 Maths Contents

Boardworks KS4 Maths Contents Boardworks KS4 Maths Contents Unit 1: Statistics and Probability Unit 1: Statistics and Probability Bar charts, line graphs and pie charts 36 slides Interpreting bar charts, two-way tables, line graphs

More information

CURRICULUM PACING GUIDE ALG. II WITH TRIG (GRADES 10-12) 1st Nine Weeks 1

CURRICULUM PACING GUIDE ALG. II WITH TRIG (GRADES 10-12) 1st Nine Weeks 1 b. Use a variety of strategies to set up and solve increasingly complex problems c. Represent data, real-world situations and solutions in increasingly complex contexts (e.g., expressions, formulas, tables,

More information

Master of Engineering Program in Industrial Engineering (Updated 2012) Faculty of Engineering Ubon Ratchathani University

Master of Engineering Program in Industrial Engineering (Updated 2012) Faculty of Engineering Ubon Ratchathani University 1 Master of Engineering Program in Industrial Engineering (Updated 2012) Faculty of Engineering Ubon Ratchathani University General Information about the program Program Code : 021 Program Name : Master

More information

Statistics in Applications III. Distribution Theory and Inference

Statistics in Applications III. Distribution Theory and Inference 2.2 Master of Science Degrees The Department of Statistics at FSU offers three different options for an MS degree. 1. The applied statistics degree is for a student preparing for a career as an applied

More information

C: LEVEL 800 {MASTERS OF ECONOMICS( ECONOMETRICS)}

C: LEVEL 800 {MASTERS OF ECONOMICS( ECONOMETRICS)} C: LEVEL 800 {MASTERS OF ECONOMICS( ECONOMETRICS)} 1. EES 800: Econometrics I Simple linear regression and correlation analysis. Specification and estimation of a regression model. Interpretation of regression

More information

H Heights data set, 318 Help menu, 13 help, accessing, 14 hiding columns, 30 histograms, distributions, 143, 146 Hoeffding s D statistic, 136

H Heights data set, 318 Help menu, 13 help, accessing, 14 hiding columns, 30 histograms, distributions, 143, 146 Hoeffding s D statistic, 136 Index A actuarial method See survival analysis, life-table method adding rows, 34 agreement, 197 air quality data set, 206 alphabetical order, 73 alternative hypothesis, 157 analysis of variance, 205 factorial

More information

MATHEMATICS COURSE SEQUENCES. The most common course sequences are indicated below.

MATHEMATICS COURSE SEQUENCES. The most common course sequences are indicated below. MATHEMATICS COURSE SEQUENCES The most common course sequences are indicated below. If Intro to Functions was successfully mastered in grade 8: Grade 9 Grade 10 Grade 12 Geometry A or Geometry H or Functions

More information

Mathematics. Mathematics MATHEMATICS. 298 2015-16 Sacramento City College Catalog. Degree: A.S. Mathematics AS-T Mathematics for Transfer

Mathematics. Mathematics MATHEMATICS. 298 2015-16 Sacramento City College Catalog. Degree: A.S. Mathematics AS-T Mathematics for Transfer MATH Degree: A.S. AS-T for Transfer Division of /Statistics & Engineering Anne E. Licciardi, Dean South Gym 220 916-558-2202 Associate in Science Degree Program Information The mathematics program provides

More information

Information and Decision Sciences (IDS)

Information and Decision Sciences (IDS) University of Illinois at Chicago 1 Information and Decision Sciences (IDS) Courses IDS 400. Advanced Business Programming Using Java. 0-4 Visual extended business language capabilities, including creating

More information

MATHEMATICS (MAT) Programs Offered. Master of Science. Mathematics

MATHEMATICS (MAT) Programs Offered. Master of Science. Mathematics 110 Mathematics MATHEMATICS (MAT) 313 Stevenson Hall, (309) 438-8781 Math.IllinoisState.edu Chairperson: George F. Seelinger. Office: 313 Stevenson Hall. Graduate Program Directors: Cynthia Langrall, Michael

More information

Mercer County Public Schools PRIORITIZED CURRICULUM. Mathematics Content Maps Algebra II Revised August 07

Mercer County Public Schools PRIORITIZED CURRICULUM. Mathematics Content Maps Algebra II Revised August 07 Mercer County Public Schools PRIORITIZED CURRICULUM Mathematics Content Maps Algebra II Revised August 07 Suggested Sequence: C O N C E P T M A P ALGEBRA I I 1. Solving Equations/Inequalities 2. Functions

More information

MATHEMATICS COURSES AT CASTLE HIGH SCHOOL

MATHEMATICS COURSES AT CASTLE HIGH SCHOOL MATHEMATICS COURSES AT CASTLE HIGH SCHOOL The following T courses are additional options for the mathematics curriculum. These series of courses are for students who lack the essential skills to be successful

More information

Math 11 Advanced MAD11 Course Outline

Math 11 Advanced MAD11 Course Outline Math 11 Advanced MAD11 Course Outline 1. APPLIED TRIGONOMETRY (CHAPTER 6) Right angle triangles and their applications (trig ratios sin, cos, tan and Pythagorean theorem) Area and perimeter of a triangle

More information

To provide background material in support of topics in Digital Image Processing that are based on matrices and/or vectors.

To provide background material in support of topics in Digital Image Processing that are based on matrices and/or vectors. Review Matrices and Vectors Objective To provide background material in support of topics in Digital Image Processing that are based on matrices and/or vectors. Some Definitions An m n (read "m by n")

More information

Georgia Department of Education

Georgia Department of Education Mathematics Georgia Performance Standards K-12 Mathematics Introduction The Georgia Mathematics Curriculum focuses on actively engaging the students in the development of mathematical understanding by

More information