ESTDESC - Descriptive Statistics

Size: px
Start display at page:

Download "ESTDESC - Descriptive Statistics"

Transcription

1 Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: ETSECCPB - Barcelona School of Civil Engineering ECA - Department of Civil and Environmental Engineering BACHELOR'S DEGREE IN PUBLIC WORKS ENGINEERING (Syllabus 2010). (Teaching unit Compulsory) 7,5 Teaching languages: Catalan, Spanish, English Teaching staff Coordinator: Others: JOSE LUIS DIAZ BARRERO JOSE LUIS DIAZ BARRERO, MARÍA ISABEL ORTEGO MARTÍNEZ Opening hours Timetable: To be agreed with the students. Degree competences to which the subject contributes Specific: Ability to solve the types of mathematical problems that may arise in engineering. Ability to apply knowledge of: linear algebra; geometry; differential geometry; differential and integral calculus; differential equations and partial derivatives; numerical methods; numerical algorithms; statistics and optimisation. Transversal: 592. EFFICIENT ORAL AND WRITTEN COMMUNICATION - Level 2. Using strategies for preparing and giving oral presentations. Writing texts and documents whose content is coherent, well structured and free of spelling and grammatical errors TEAMWORK - Level 2. Contributing to the consolidation of a team by planning targets and working efficiently to favor communication, task assignment and cohesion EFFECTIVE USE OF INFORMATI0N RESOURCES - Level 3. Planning and using the information necessary for an academic assignment (a final thesis, for example) based on a critical appraisal of the information resources used SELF-DIRECTED LEARNING - Level 3. Applying the knowledge gained in completing a task according to its relevance and importance. Deciding how to carry out a task, the amount of time to be devoted to it and the most suitable information sources THIRD LANGUAGE. Learning a third language, preferably English, to a degree of oral and written fluency that fits in with the future needs of the graduates of each course. Teaching methodology L'assignatura consta de 5 hores a la setmana de classes presencials a l'aula. Es dediquen a classes teòriques el 45% de les hores setmanals en grup gran, en què el professorat exposa els conceptes i materials bàsics de la matèria, presenta exemples i realitza exercicis. Es dediquen 25% de les hores setmanls, a la resolució de problemes. Es realitzen exercicis pràctics per tal de consolidar Learning objectives of the subject Students will acquire the skills to represent and process data, including basic knowledge of databases and computer 1 / 7

2 software with applications in engineering. They will also learn statistical concepts. Upon completion of the course, students will have acquired the ability to: 1. Carry out a data analysis of a construction engineering problem using a computer tool that employs the studied techniques. 2. Carry out a multiple linear regression analysis using computer software. 3. Carry out data simulations and transformations of random variables, as well as studies of distributions. Data analysis; Regression models, parameter estimation; Probability and uncertainty; Basics of point estimation and interval estimation; Hypothesis testing Study load Total learning time: 187h 30m Theory classes: 34h 18.13% Practical classes: 15h 8.00% Laboratory classes: 26h 13.87% Guided activities: 7h 30m 4.00% Self study: 105h 56.00% 2 / 7

3 Content Exploratory data analysis Learning time: 36h Theory classes: 7h 30m Laboratory classes: 3h 45m Self study : 21h Simulation of data. Qualitative variables, discrete, continuous. Graphical representation. Location measures. Calculation of statistics. Transformacón variables. Simulation data. Qualitative variables, discrete, continuous. Graphical representation. Measures of location and dispersion. Transformation of data. Simulation data. Qualitative variables, discrete, continuous. Graphical representation. Measures of location and dispersion. Transformation of data. Multivariate analysis and data processing. Tables of double entry. Least-square adjustment. Correlation. Trends. Multivariate analysis and data processing. Tables of double entry. Least-square adjustment. Correlation. Trends. Multivariate analysis and data processing. Tables of double entry. Least-square adjustment. Correlation. Trends. Study and graphical representation. Analysis of the trend. Components. Smoothing and seasonal index computations. Study and graphical representation. Analysis of the trend. Components. Smoothing and seasonal index calculations. Study and graphical representation. Analysis of the trend. Components. Smoothing and seasonal index calculations. 3 / 7

4 Elementary Probability. Probability models. Learning time: 48h Theory classes: 7h 30m Laboratory classes: 8h 45m Self study : 28h Counting techniques. Definition of probability. Conditional probability. Bayes Formula. Counting techniques. Discrete Probability. Conditional probability. Bayes Formula. Counting techniques. Discrete Probability. Conditional probability. Bayes Formula. Definition. Distributions of Probability. Discrete and continuous variables. Probability density function. Moments. Discrete distributions: Bernoulli, binomial, geometric, Poisson,... Representation of probability functions. Definition. Distributions of Probability. Discrete and continuous variables. Probability density function. Moments. Discrete distributions: Bernoulli, binomial, geometric, Poisson,... Representation of probability functions. Definition. Probability distributions. Discretes and continuous variables. Probability density function. Moments. Discrete Distributions: Bernoulli, binomial, geometric, Poisson,... Representation of probability functions. Continuous models: uniform, normal, exponential,..... Central limit theorem. Processing methods. Representation of densities. Point processes in time. Return periods. Continuous models: uniform, normal, exponential,..... Central limit theorem. Processing methods. Representation of densities. Point processes in time. Return periods. Continuous models: uniform distribution, normal, exponential,..... Central limit theorem. Transforming variables. Representation of densities. Puntual processes in time. Return periods. 4 / 7

5 Statistical Inference Learning time: 36h Theory classes: 7h 30m Laboratory classes: 3h 45m Self study : 21h Samples. Estimation by the method of moments. Maximum likelihood estimation. Properties of estimators. Examples of estimation. Samples. Estimation by the method of moments. Maximum likelihood estimation. Properties of estimators. Samples. Estimation by method of moments. Concept of likelihood. Most likelihood estimate. Properties of estimators. Concept of testing hypotheses. Applications in normal sampling. Decision rules. Errors type I and II. Power. Test on average and variance of normal populations. T distributions, Chi2, F. Estimation of the p-value. Concept of contrasting hypotheses Applications in normal sampling. Decision rules. Errors type I and II. Power. Contrasts of mean and variance of normal populations. T distributions, Chi2, F. Estimate p-value. Concept of contrasting hypotheses Applications in normal sampling. Decision rules. Errors type I and II. Power. Contrasts of mean and variance of normal populations. T distributions, Chi2, F. Estimation of the p-value. 5 / 7

6 Linear regression model Learning time: 60h Theory classes: 11h 30m Laboratory classes: 9h 45m Self study : 35h Regression model and its extensions. Adjustment by least squares. Usual assumptions of the model. Regression model and its extensions. Adjustment by least squares. Common model assumptions Regression model and its extensions. Adjustment by least squares. Common model assumptions First example. F tests on the regression. T Test on coefficients. Normality of residuals. First example. F tests on the regression. T Test on coefficients. Normality of residuals. First example. F tests on the regression. T Test on coefficients. Normality of residuals. Multiple regression. ANOVA. Factors. Multiple regression. ANOVA. Factors Multiple regression. ANOVA. Factors. Review and synthesis of the contents of theory, problems and laboratory of issues 3 and 4. Evaluation of them by conducting written tests. Review and synthesis of the contents of theory, problems and laboratory issues 1, 2, 3 and 4. Final evaluation of them by conducting written tests for students that fail or to improve the final qualification. Qualification system The mark of the course is obtained from the ratings of continuous assessmentthat consist in several activities carried out during the semester. The assessment tests consist of a part with questions on concepts associated with learning objectives in terms of subject knowledge and understanding, and applying a set of exercises ( problems and practical exercises with computer). The percentages allocated to each part are: theoretical concepts (25%), practical exercises with the aid of a computer (25%) and problems (50%). Criteria for re-evaluation qualification and eligibility: Students that failed ordinary evaluation and have been regularly attending tests throughout the course will have the option to perform a re-evaluation test during the period specified in the academic calendar. The highest mark for the subject in the case of attending the evaluation exam will be five. In the case of justified absences to the regular evaluation tests that prevent the assessment of some parts of the contents of the subject, with prior approval of the Head of Studies, students may get evaluated by the re-evaluation test of the contents that have not been previously examined as well as the contents whose tests students have failed. The limitation on the maximum mark shall not apply to the parts assessed for the first time. Regulations for carrying out activities Failure to perform or continuous assessment activity in the scheduled period will result in a mark of zero in that activity. 6 / 7

7 Bibliography Basic: Devore, J.L. Probabilidad y estadística para ingeniería y ciencias. 8a ed. México DF: Cengage Learning, ISBN Freund, J. E.; Miller, I.; Miller, M. Estadística matemática con aplicaciones. 6a ed. México DF: Prentice Hall, ISBN Ross, S. M. Introduction to probability and statistics for engineers and scientists. 4th ed. Amsterdan: Elsevier, ISBN Ang, A. H-S; Tang, W.H. Probability concepts in engineering: emphasis on applications to civil and enviromental engineering. 2nd ed. New York: Wiley, ISBN Cohen, Y.; Cohen, J.Y. Statistics and data with R : an applied approach through examples. Chichester: Wiley, ISBN Complementary: Canavos, G. C. Probabilidad y estadística: aplicaciones y métodos. McGraw-Hill, ISBN Mood, A. M; Graybill, F.A; Boes, D.C. Introduction to the theory of statistics. 3rd. McGraw-Hill, ISBN Arriaza Gómez, A.J. y otros. Estadística básica con R y R-Commander (llibre on-line) [on line]. Servicio de Publicaciones Universidad de Cádiz, 2008 [Consultation: 27/04/2016]. Available on: <uhttp://knuth.uca.es/moodle/course/view.php?id=37>. ISBN / 7

250325 - METNUMER - Numerical Methods

250325 - METNUMER - Numerical Methods Coordinating unit: 250 - ETSECCPB - Barcelona School of Civil Engineering Teaching unit: 751 - ECA - Department of Civil and Environmental Engineering Academic year: Degree: 2015 BACHELOR'S DEGREE IN GEOLOGICAL

More information

250225 - GEOMTOP - Geomatics and Surveying

250225 - GEOMTOP - Geomatics and Surveying Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 250 - ETSECCPB - Barcelona School of Civil Engineering 751 - ECA - Department of Civil and Environmental Engineering BACHELOR'S

More information

AFED - Fourier Analysis and Differencial Equations

AFED - Fourier Analysis and Differencial Equations Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2016 205 - ESEIAAT - Terrassa School of Industrial, Aerospace and Audiovisual Engineering 749 - MAT - Department of Mathematics BACHELOR'S

More information

PROBABILITY AND STATISTICS. Ma 527. 1. To teach a knowledge of combinatorial reasoning.

PROBABILITY AND STATISTICS. Ma 527. 1. To teach a knowledge of combinatorial reasoning. PROBABILITY AND STATISTICS Ma 527 Course Description Prefaced by a study of the foundations of probability and statistics, this course is an extension of the elements of probability and statistics introduced

More information

Algebra and Geometry (250101)

Algebra and Geometry (250101) Algebra and Geometry (250101) General information School: ETSECCPB Departments: 751 - Departament d'enginyeria Civil i Ambiental Credits: 6.0 ECTS Programs: 790 - GRAU EN ENGINYERIA CIVIL (2010); 1189

More information

UAS - Unmanned Aircraft Systems

UAS - Unmanned Aircraft Systems Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2016 300 - EETAC - Castelldefels School of Telecommunications and Aerospace Engineering 748 - FIS - Department of Physics 701 - AC

More information

Fairfield Public Schools

Fairfield Public Schools Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity

More information

STAT 360 Probability and Statistics. Fall 2012

STAT 360 Probability and Statistics. Fall 2012 STAT 360 Probability and Statistics Fall 2012 1) General information: Crosslisted course offered as STAT 360, MATH 360 Semester: Fall 2012, Aug 20--Dec 07 Course name: Probability and Statistics Number

More information

Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics

Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics For 2015 Examinations Aim The aim of the Probability and Mathematical Statistics subject is to provide a grounding in

More information

INTRODUCTORY STATISTICS

INTRODUCTORY STATISTICS INTRODUCTORY STATISTICS FIFTH EDITION Thomas H. Wonnacott University of Western Ontario Ronald J. Wonnacott University of Western Ontario WILEY JOHN WILEY & SONS New York Chichester Brisbane Toronto Singapore

More information

AP Statistics: Syllabus 3

AP Statistics: Syllabus 3 AP Statistics: Syllabus 3 Scoring Components SC1 The course provides instruction in exploring data. 4 SC2 The course provides instruction in sampling. 5 SC3 The course provides instruction in experimentation.

More information

Strength of Materials (250222)

Strength of Materials (250222) Strength of Materials (250222) General information School: ETSECCPB Departments: 737 - Departament de Resistència de Materials i Estructures a l'enginyeria Credits: 6.0 ECTS Programs: 1168 - GRAU EN ENGINYERIA

More information

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics. Business Course Text Bowerman, Bruce L., Richard T. O'Connell, J. B. Orris, and Dawn C. Porter. Essentials of Business, 2nd edition, McGraw-Hill/Irwin, 2008, ISBN: 978-0-07-331988-9. Required Computing

More information

STATISTICS APPLIED TO BUSINESS ADMINISTRATION

STATISTICS APPLIED TO BUSINESS ADMINISTRATION BASIC PROGRAM FOR THE COURSE STATISTICS APPLIED TO BUSINESS ADMINISTRATION Degree: BA (ADE) Course: 2nd Semester: second Credits: 6 Type: Core Code: 25837 Department of Applied Economics III (Econometrics

More information

250249 - GESTTRANS - Transportation Management

250249 - GESTTRANS - Transportation Management Coordinating unit: 250 - ETSECCPB - Barcelona School of Civil Engineering Teaching unit: 751 - ECA - Department of Civil and Environmental Engineering Academic year: Degree: 2015 BACHELOR'S DEGREE IN PUBLIC

More information

250261 - DGRACALNUM - Graphic Design and Numerical Analysis

250261 - DGRACALNUM - Graphic Design and Numerical Analysis Coordinating unit: 250 - ETSECCPB - Barcelona School of Civil Engineering Teaching unit: 751 - ECA - Department of Civil and Environmental Engineering Academic year: Degree: 2015 BACHELOR'S DEGREE IN PUBLIC

More information

International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics

International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics Lecturer: Mikhail Zhitlukhin. 1. Course description Probability Theory and Introductory Statistics

More information

820031 - SICSB - Information Systems and Communications for Health Services

820031 - SICSB - Information Systems and Communications for Health Services Coordinating unit: 820 - EUETIB - Barcelona College of Industrial Engineering Teaching unit: 707 - ESAII - Department of Automatic Control Academic year: Degree: 2015 BACHELOR'S DEGREE IN BIOMEDICAL ENGINEERING

More information

250145 - ENGGEOTEC - Geotechnical Engineering

250145 - ENGGEOTEC - Geotechnical Engineering Coordinating unit: 250 - ETSECCPB - Barcelona School of Civil Engineering Teaching unit: 751 - ECA - Department of Civil and Environmental Engineering Academic year: Degree: 2015 BACHELOR'S DEGREE IN CIVIL

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

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics Course Text Business Statistics Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics for Business and Economics, 7th edition, McGraw-Hill/Irwin, 2010, ISBN: 9780077384470 [This

More information

Test Code MS (Short answer type) 2004 Syllabus for Mathematics. Syllabus for Statistics

Test Code MS (Short answer type) 2004 Syllabus for Mathematics. Syllabus for Statistics Test Code MS (Short answer type) 24 Syllabus for Mathematics Permutations and Combinations. Binomials and multinomial theorem. Theory of equations. Inequalities. Determinants, matrices, solution of linear

More information

SOCPQ - Simulation, Optimization and Control of Chemical Processes

SOCPQ - Simulation, Optimization and Control of Chemical Processes Coordinating unit: 205 - ESEIAAT - Terrassa School of Industrial, Aerospace and Audiovisual Engineering Teaching unit: 713 - EQ - Department of Chemical Engineering Academic year: Degree: 2016 BACHELOR'S

More information

240ST014 - Data Analysis of Transport and Logistics

240ST014 - Data Analysis of Transport and Logistics Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 240 - ETSEIB - Barcelona School of Industrial Engineering 715 - EIO - Department of Statistics and Operations Research MASTER'S

More information

220114 - Environmental Science and Technology

220114 - Environmental Science and Technology Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 220 - ETSEIAT - Terrassa School of Industrial and Aeronautical Engineering 736 - PE - Department of Engineering Design 706 -

More information

business statistics using Excel OXFORD UNIVERSITY PRESS Glyn Davis & Branko Pecar

business statistics using Excel OXFORD UNIVERSITY PRESS Glyn Davis & Branko Pecar business statistics using Excel Glyn Davis & Branko Pecar OXFORD UNIVERSITY PRESS Detailed contents Introduction to Microsoft Excel 2003 Overview Learning Objectives 1.1 Introduction to Microsoft Excel

More information

Teaching guide ECONOMETRICS

Teaching guide ECONOMETRICS Teaching guide ECONOMETRICS INDEX CARD Subject Data Código Titulación Nombre Carácter Ciclo 1313.- Grado en Administración y Dirección de Empresas, Mención Creación y Dirección de Empresas, Itinerario

More information

320173 - PSEAEREE - Electronic System Design Applied to Renewable Energy and Energy Efficiency

320173 - PSEAEREE - Electronic System Design Applied to Renewable Energy and Energy Efficiency Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 320 - EET - Terrassa School of Engineering 710 - EEL - Department of Electronic Engineering BACHELOR'S DEGREE IN INDUSTRIAL ELECTRONICS

More information

340020 - INFO-N1O23 - Informatics

340020 - INFO-N1O23 - Informatics Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 340 - EPSEVG - Vilanova i la Geltrú School of Engineering 723 - CS - Department of Computer Science BACHELOR'S DEGREE IN INDUSTRIAL

More information

340385 - GEET-I6O32 - Ict Business Management

340385 - GEET-I6O32 - Ict Business Management Coordinating unit: 340 - EPSEVG - Vilanova i la Geltrú School of Engineering Teaching unit: 732 - OE - Department of Management Academic year: Degree: 2016 BACHELOR'S DEGREE IN INFORMATICS ENGINEERING

More information

Teaching model: C1 a. General background: 50% b. Theory-into-practice/developmental 50% knowledge-building: c. Guided academic activities:

Teaching model: C1 a. General background: 50% b. Theory-into-practice/developmental 50% knowledge-building: c. Guided academic activities: 1. COURSE DESCRIPTION Degree: Double Degree: Derecho y Finanzas y Contabilidad (English teaching) Course: STATISTICAL AND ECONOMETRIC METHODS FOR FINANCE (Métodos Estadísticos y Econométricos en Finanzas

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

MPAF-M7P02 - Advanced Manufacturing Materials and Processes

MPAF-M7P02 - Advanced Manufacturing Materials and Processes Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2016 340 - EPSEVG - Vilanova i la Geltrú School of Engineering 702 - CMEM - Department of Materials Science and Metallurgy BACHELOR'S

More information

fifty Fathoms Statistics Demonstrations for Deeper Understanding Tim Erickson

fifty Fathoms Statistics Demonstrations for Deeper Understanding Tim Erickson fifty Fathoms Statistics Demonstrations for Deeper Understanding Tim Erickson Contents What Are These Demos About? How to Use These Demos If This Is Your First Time Using Fathom Tutorial: An Extended Example

More information

Analytical Methods for Engineers

Analytical Methods for Engineers Unit 1: Analytical Methods for Engineers Unit code: A/601/1401 QCF level: 4 Credit value: 15 Aim This unit will provide the analytical knowledge and techniques needed to carry out a range of engineering

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

IA - Artificial Intelligence

IA - Artificial Intelligence Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2016 270 - FIB - Barcelona School of Informatics 723 - CS - Department of Computer Science BACHELOR'S DEGREE IN INFORMATICS ENGINEERING

More information

UNDERGRADUATE DEGREE DETAILS : BACHELOR OF SCIENCE WITH

UNDERGRADUATE DEGREE DETAILS : BACHELOR OF SCIENCE WITH QATAR UNIVERSITY COLLEGE OF ARTS & SCIENCES Department of Mathematics, Statistics, & Physics UNDERGRADUATE DEGREE DETAILS : Program Requirements and Descriptions BACHELOR OF SCIENCE WITH A MAJOR IN STATISTICS

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

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

Summary of Probability

Summary of Probability Summary of Probability Mathematical Physics I Rules of Probability The probability of an event is called P(A), which is a positive number less than or equal to 1. The total probability for all possible

More information

300429 - AIGI - Smart Airport and Facility Management

300429 - AIGI - Smart Airport and Facility Management Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2014 744 - ENTEL - Department of Network Engineering BACHELOR'S DEGREE IN AIRPORT ENGINEERING (Syllabus 2010). (Teaching unit Optional)

More information

Electronic Circuits

Electronic Circuits Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2016 205 - ESEIAAT - Terrassa School of Industrial, Aerospace and Audiovisual Engineering 710 - EEL - Department of Electronic Engineering

More information

300042 - DSA - Service and Application Design

300042 - DSA - Service and Application Design Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 300 - EETAC - Castelldefels School of Telecommunications and Aerospace Engineering 744 - ENTEL - Department of Network Engineering

More information

ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE. School of Mathematical Sciences

ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE. School of Mathematical Sciences ! ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE School of Mathematical Sciences New Revised COURSE: COS-MATH-252 Probability and Statistics II 1.0 Course designations and approvals:

More information

UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010

UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 COURSE: POM 500 Statistical Analysis, ONLINE EDITION, Fall 2010 Prerequisite: Finite Math

More information

Business Analytics. Methods, Models, and Decisions. James R. Evans : University of Cincinnati PEARSON

Business Analytics. Methods, Models, and Decisions. James R. Evans : University of Cincinnati PEARSON Business Analytics Methods, Models, and Decisions James R. Evans : University of Cincinnati PEARSON Boston Columbus Indianapolis New York San Francisco Upper Saddle River Amsterdam Cape Town Dubai London

More information

200011 - INF - Computer Science

200011 - INF - Computer Science Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 200 - FME - School of Mathematics and Statistics 723 - CS - Department of Computer Science 749 - MAT - Department of Mathematics

More information

MATHEMATICS DEPARTMENT

MATHEMATICS DEPARTMENT MATHEMATICS DEPARTMENT All students are required to take four credits in mathematics, including one credit in Algebra and one credit in Geometry. Students advancing to a Maryland State College or University

More information

240EO035 - Information Systems

240EO035 - Information Systems Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 240 - ETSEIB - Barcelona School of Industrial Engineering 732 - OE - Department of Management MASTER'S DEGREE IN MANAGEMENT ENGINEERING

More information

340382 - ADSO-I5O01 - Operating Systems Administration

340382 - ADSO-I5O01 - Operating Systems Administration Coordinating unit: 340 - EPSEVG - Vilanova i la Geltrú School of Engineering Teaching unit: 701 - AC - Department of Computer Architecture Academic year: Degree: 2015 BACHELOR'S DEGREE IN INFORMATICS ENGINEERING

More information

Prentice Hall Algebra 2 2011 Correlated to: Colorado P-12 Academic Standards for High School Mathematics, Adopted 12/2009

Prentice Hall Algebra 2 2011 Correlated to: Colorado P-12 Academic Standards for High School Mathematics, Adopted 12/2009 Content Area: Mathematics Grade Level Expectations: High School Standard: Number Sense, Properties, and Operations Understand the structure and properties of our number system. At their most basic level

More information

820324 - GEEN - Energy Management

820324 - GEEN - Energy Management Coordinating unit: 820 - EUETIB - Barcelona College of Industrial Engineering Teaching unit: 709 - EE - Department of Electrical Engineering Academic year: Degree: 2015 BACHELOR'S DEGREE IN ENERGY ENGINEERING

More information

250348 - Bachelor's Thesis

250348 - Bachelor's Thesis Coordinating unit: 250 - ETSECCPB - Barcelona School of Civil Engineering Teaching unit: 250 - ETSECCPB - Barcelona School of Civil Engineering Academic year: Degree: 2012 BACHELOR'S DEGREE IN GEOLOGICAL

More information

Simple Methods and Procedures Used in Forecasting

Simple Methods and Procedures Used in Forecasting Simple Methods and Procedures Used in Forecasting The project prepared by : Sven Gingelmaier Michael Richter Under direction of the Maria Jadamus-Hacura What Is Forecasting? Prediction of future events

More information

INTRODUCING THE NORMAL DISTRIBUTION IN A DATA ANALYSIS COURSE: SPECIFIC MEANING CONTRIBUTED BY THE USE OF COMPUTERS

INTRODUCING THE NORMAL DISTRIBUTION IN A DATA ANALYSIS COURSE: SPECIFIC MEANING CONTRIBUTED BY THE USE OF COMPUTERS INTRODUCING THE NORMAL DISTRIBUTION IN A DATA ANALYSIS COURSE: SPECIFIC MEANING CONTRIBUTED BY THE USE OF COMPUTERS Liliana Tauber Universidad Nacional del Litoral Argentina Victoria Sánchez Universidad

More information

240ST1131 - Operations Management in the Supply Chain

240ST1131 - Operations Management in the Supply Chain Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 240 - ETSEIB - Barcelona School of Industrial Engineering 732 - OE - Department of Management MASTER'S DEGREE IN SUPPLY CHAINS,

More information

200609 - ATV - Lifetime Data Analysis

200609 - ATV - Lifetime Data Analysis Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 200 - FME - School of Mathematics and Statistics 715 - EIO - Department of Statistics and Operations Research 1004 - UB - (ENG)Universitat

More information

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre-

More information

Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010

Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010 Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010 Week 1 Week 2 14.0 Students organize and describe distributions of data by using a number of different

More information

240EO036 - Business Project Management

240EO036 - Business Project Management Coordinating unit: 240 - ETSEIB - Barcelona School of Industrial Engineering Teaching unit: 736 - PE - Department of Engineering Design Academic year: Degree: 2015 MASTER'S DEGREE IN MANAGEMENT ENGINEERING

More information

300013 - ET - Electronics for Telecommunications

300013 - ET - Electronics for Telecommunications Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 300 - EETAC - Castelldefels School of Telecommunications and Aerospace Engineering 710 - EEL - Department of Electronic Engineering

More information

Teaching guide for the course: BUSINESS STATISTICS I

Teaching guide for the course: BUSINESS STATISTICS I Teaching guide for the course: BUSINESS STATISTICS I Degree program: Degree in Business Administration and Management Year 2012-2013 - 0 - Teaching Guide 1. Information about the course Name Subject Module

More information

GEOEN - Wind Energy Generation

GEOEN - Wind Energy Generation Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2016 820 - EUETIB - Barcelona College of Industrial Engineering 709 - EE - Department of Electrical Engineering BACHELOR'S DEGREE

More information

200612 - ADL - Longitudinal Data Analysis

200612 - ADL - Longitudinal Data Analysis Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 200 - FME - School of Mathematics and Statistics 715 - EIO - Department of Statistics and Operations Research 749 - MAT - Department

More information

MD - Discrete Mathematics

MD - Discrete Mathematics Coordinating unit: 200 - FME - School of Mathematics and Statistics Teaching unit: 749 - MAT - Department of Mathematics Academic year: Degree: 2016 BACHELOR'S DEGREE IN MATHEMATICS (Syllabus 2009). (Teaching

More information

Probability and Statistics

Probability and Statistics Probability and Statistics Syllabus for the TEMPUS SEE PhD Course (Podgorica, April 4 29, 2011) Franz Kappel 1 Institute for Mathematics and Scientific Computing University of Graz Žaneta Popeska 2 Faculty

More information

Week TSX Index 1 8480 2 8470 3 8475 4 8510 5 8500 6 8480

Week TSX Index 1 8480 2 8470 3 8475 4 8510 5 8500 6 8480 1) The S & P/TSX Composite Index is based on common stock prices of a group of Canadian stocks. The weekly close level of the TSX for 6 weeks are shown: Week TSX Index 1 8480 2 8470 3 8475 4 8510 5 8500

More information

MATH BOOK OF PROBLEMS SERIES. New from Pearson Custom Publishing!

MATH BOOK OF PROBLEMS SERIES. New from Pearson Custom Publishing! MATH BOOK OF PROBLEMS SERIES New from Pearson Custom Publishing! The Math Book of Problems Series is a database of math problems for the following courses: Pre-algebra Algebra Pre-calculus Calculus Statistics

More information

270107 - MD - Data Mining

270107 - MD - Data Mining Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 015 70 - FIB - Barcelona School of Informatics 715 - EIO - Department of Statistics and Operations Research 73 - CS - Department of

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

Least Squares Estimation

Least Squares Estimation Least Squares Estimation SARA A VAN DE GEER Volume 2, pp 1041 1045 in Encyclopedia of Statistics in Behavioral Science ISBN-13: 978-0-470-86080-9 ISBN-10: 0-470-86080-4 Editors Brian S Everitt & David

More information

200628 - DAIC - Advanced Experimental Design in Clinical Research

200628 - DAIC - Advanced Experimental Design in Clinical Research Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 200 - FME - School of Mathematics and Statistics 1004 - UB - (ENG)Universitat de Barcelona MASTER'S DEGREE IN STATISTICS AND

More information

310508 - Geographic Information Systems Applied to Urban Planning and Building (Gis and Bim)

310508 - Geographic Information Systems Applied to Urban Planning and Building (Gis and Bim) Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2016 310 - EPSEB - Barcelona School of Building Construction 718 - EGA I - Department of Architectural Representation and Visual Analysis

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

COURSE OUTLINE. Course Number Course Title Credits MAT201 Probability and Statistics for Science and Engineering 4. Co- or Pre-requisite

COURSE OUTLINE. Course Number Course Title Credits MAT201 Probability and Statistics for Science and Engineering 4. Co- or Pre-requisite COURSE OUTLINE Course Number Course Title Credits MAT201 Probability and Statistics for Science and Engineering 4 Hours: Lecture/Lab/Other 4 Lecture Co- or Pre-requisite MAT151 or MAT149 with a minimum

More information

A spreadsheet Approach to Business Quantitative Methods

A spreadsheet Approach to Business Quantitative Methods A spreadsheet Approach to Business Quantitative Methods by John Flaherty Ric Lombardo Paul Morgan Basil desilva David Wilson with contributions by: William McCluskey Richard Borst Lloyd Williams Hugh Williams

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

COURSE DESCRIPTOR Signal Processing II Signalbehandling II 7.5 ECTS credit points (7,5 högskolepoäng)

COURSE DESCRIPTOR Signal Processing II Signalbehandling II 7.5 ECTS credit points (7,5 högskolepoäng) Blekinge Institute of Technology School of Engineering, ASB Andhra University College of Engineering (A) TWO YEAR DOUBLE DEGREE MASTERS PROGRAM MS (SIGNAL PROCESSING) FIRST YEAR I SEMESTER CODE Name of

More information

Description. Textbook. Grading. Objective

Description. Textbook. Grading. Objective EC151.02 Statistics for Business and Economics (MWF 8:00-8:50) Instructor: Chiu Yu Ko Office: 462D, 21 Campenalla Way Phone: 2-6093 Email: kocb@bc.edu Office Hours: by appointment Description This course

More information

820446 - ACMSM - Computer Applications in Solids Mechanics

820446 - ACMSM - Computer Applications in Solids Mechanics Coordinating unit: 820 - EUETIB - Barcelona College of Industrial Engineering Teaching unit: 737 - RMEE - Department of Strength of Materials and Structural Engineering Academic year: Degree: 2015 BACHELOR'S

More information

Credit and Grading Systems

Credit and Grading Systems Facultad de Informática Universidad Politécnica de Madrid Credit and Grading Systems Description of the Qualification Mechanism, the Credit and Grading Systems, and their adaptation to ECTS. February,

More information

MATHEMATICAL METHODS OF STATISTICS

MATHEMATICAL METHODS OF STATISTICS MATHEMATICAL METHODS OF STATISTICS By HARALD CRAMER TROFESSOK IN THE UNIVERSITY OF STOCKHOLM Princeton PRINCETON UNIVERSITY PRESS 1946 TABLE OF CONTENTS. First Part. MATHEMATICAL INTRODUCTION. CHAPTERS

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

NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS

NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS TEST DESIGN AND FRAMEWORK September 2014 Authorized for Distribution by the New York State Education Department This test design and framework document

More information

Bachelor's Degree in Business Administration and Master's Degree course description

Bachelor's Degree in Business Administration and Master's Degree course description Bachelor's Degree in Business Administration and Master's Degree course description Bachelor's Degree in Business Administration Department s Compulsory Requirements Course Description (402102) Principles

More information

Alabama Department of Postsecondary Education

Alabama Department of Postsecondary Education Date Adopted 1998 Dates reviewed 2007, 2011, 2013 Dates revised 2004, 2008, 2011, 2013, 2015 Alabama Department of Postsecondary Education Representing Alabama s Public Two-Year College System Jefferson

More information

XAMU-C9X44 - Multimedia Networks

XAMU-C9X44 - Multimedia Networks Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2016 340 - EPSEVG - Vilanova i la Geltrú School of Engineering 744 - ENTEL - Department of Network Engineering BACHELOR'S DEGREE IN

More information

300024 - FC - Fundamentals of Communications

300024 - FC - Fundamentals of Communications Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2016 300 - EETAC - Castelldefels School of Telecommunications and Aerospace Engineering 739 - TSC - Department of Signal Theory and

More information

Mathematics & Statistics*

Mathematics & Statistics* Mathematics & Statistics* MAJOR, MINOR PROFESSOR: Caren L. ASSOCIATE PROFESSOR: Julie M. (chair) VISITING ASSISTANT PROFESSOR: Emese LECTURER: Erin Levering (director of quantitative reasoning center)

More information

270024 - LI - Logics in Information Technology

270024 - LI - Logics in Information Technology Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 270 - FIB - Barcelona School of Informatics 723 - CS - Department of Computer Science BACHELOR'S DEGREE IN INFORMATICS ENGINEERING

More information

4. Factor polynomials over complex numbers, describe geometrically, and apply to real-world situations. 5. Determine and apply relationships among syn

4. Factor polynomials over complex numbers, describe geometrically, and apply to real-world situations. 5. Determine and apply relationships among syn I The Real and Complex Number Systems 1. Identify subsets of complex numbers, and compare their structural characteristics. 2. Compare and contrast the properties of real numbers with the properties of

More information

QUALITY ENGINEERING PROGRAM

QUALITY ENGINEERING PROGRAM 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

More information

Graduate Certificate in Systems Engineering

Graduate Certificate in Systems Engineering Graduate Certificate in Systems Engineering Systems Engineering is a multi-disciplinary field that aims at integrating the engineering and management functions in the development and creation of a product,

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

PCHS ALGEBRA PLACEMENT TEST

PCHS ALGEBRA PLACEMENT TEST MATHEMATICS Students must pass all math courses with a C or better to advance to the next math level. Only classes passed with a C or better will count towards meeting college entrance requirements. If

More information

MAT 12O ELEMENTARY STATISTICS I

MAT 12O ELEMENTARY STATISTICS I LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 12O ELEMENTARY STATISTICS I 3 Lecture Hours, 1 Lab Hour, 3 Credits Pre-Requisite:

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

MATH. ALGEBRA I HONORS 9 th Grade 12003200 ALGEBRA I HONORS

MATH. ALGEBRA I HONORS 9 th Grade 12003200 ALGEBRA I HONORS * Students who scored a Level 3 or above on the Florida Assessment Test Math Florida Standards (FSA-MAFS) are strongly encouraged to make Advanced Placement and/or dual enrollment courses their first choices

More information

Economic Order Quantity and Economic Production Quantity Models for Inventory Management

Economic Order Quantity and Economic Production Quantity Models for Inventory Management Economic Order Quantity and Economic Production Quantity Models for Inventory Management Inventory control is concerned with minimizing the total cost of inventory. In the U.K. the term often used is stock

More information