SEDAR 63 Benchmark Assessment: Gulf Menhaden Terms of Reference. Terminal Year: 2017

Size: px
Start display at page:

Download "SEDAR 63 Benchmark Assessment: Gulf Menhaden Terms of Reference. Terminal Year: 2017"

Transcription

1 Data Workshop Terms of Reference SEDAR 63 Benchmark Assessment: Gulf Menhaden Terms of Reference Terminal Year: ) Review stock structure and unit stock definitions and consider whether changes are required. 2) Review, discuss, and tabulate available life history information. a) Evaluate age, growth, natural mortality, and reproductive characteristics. b) Provide appropriate models to describe growth, maturation, and fecundity by age, sex, or length as applicable. c) Evaluate the adequacy of available life-history information for conducting stock assessments and recommend life history information for use in population modeling. d) Evaluate, discuss, and characterize the sources of uncertainty, and data limitations (such as 3) Provide measures of population abundance that are appropriate for stock assessment. a) Consider and discuss all available and relevant fishery-independent data sources including: i) State long term monitoring programs and ii) SEAMAP surveys (plankton, trawl, and other). b) Document all programs evaluated; address program objectives, methods, coverage, sampling intensity, and other relevant characteristics. c) Develop fishery and survey CPUE indices by appropriate strata (e.g., age, size, area, and fishery) and include measures of precision and accuracy. d) Discuss the degree to which available indices adequately represent population conditions. e) Recommend which data sources adequately and reliably represent population abundance for use in assessment modeling. f) Evaluate, discuss, and characterize the sources of uncertainty, and data limitations (such as 4) Evaluate and discuss all available fishery-dependent catch statistics and data sources including: a) Reconstructed early landings b) Reduction Landings to present c) Bait Landings to present d) Recreational Landings to present e) Nominal Effort Data to present f) Catch at age matrix g) Evaluate, discuss, and characterize the sources of uncertainty, and data limitations (such as

2 5) Provide recommendations for future research in areas such as life history, fishery monitoring, and survey sampling. 6) Prepare the Data Workshop report providing complete documentation of workshop actions and decisions in accordance with project schedule deadlines (Section II. of the SEDAR assessment report).

3 Assessment Workshop Terms of Reference 1) Review any changes in data following the data workshop and any analyses suggested by the data workshop. Summarize data as used in each assessment model. Provide justification for any deviations from Data Workshop recommendations. 2) Use population assessment models consistent with the available data. Consider the modeling recommendations from the last benchmark assessment review, and discuss how they were addressed in this assessment. Recommend models and configurations considered most reliable or useful for providing advice. Document all input data, assumptions, and equations for each model prepared. 3) Evaluate models used to estimate population parameters and provide estimates of the population parameters (e.g., F, biomass, abundance, selectivity, and other parameters as appropriate) and biological reference points. a) Did the model have difficulty finding a stable solution? b) Were sensitivity analyses for any priors performed? Were other model diagnostics performed? c) Have the model strengths and limitations been clearly and thoroughly explained? d) Have the models been used in other peer reviewed assessments? If not, has new model code been verified with simulated data? e) Compare and discuss differences among alternative models. f) Provide appropriate measures of model performance, reliability, and goodness of fit 4) Characterize uncertainty in the assessment and estimated values. a) Consider uncertainty in input data, modeling approach, and model configuration. b) Provide measures of uncertainty for relevant model output. 5) Perform retrospective analyses, assess magnitude and direction of retrospective patterns if detected, and discuss implications of any observed retrospective pattern for uncertainty in population parameters (e.g., F, SSB), reference points, and management measures. 6) Provide evaluations of yield and productivity a) Include yield-per-recruit, spawner-per-recruit, and stock-recruitment evaluations. 7) Provide estimates of population benchmarks or management criteria consistent with the available data and applicable FMP. Evaluate existing management criteria as specified in the management summary. Recommend proxy values when necessary. 8) Provide declarations of stock status relative to the management benchmarks or, if necessary, alternative data-poor approaches. 9) Provide an analysis describing the uncertainty of the proposed stock status relative to the reference points. 10) Develop detailed short and long-term prioritized lists of recommendations for future research, data collection, and assessment methodology. Highlight improvements to be made by next benchmark

4 review. 11) Complete the Assessment Workshop Report for Review.

5 Review Workshop Terms of Reference 1) Evaluate the data used in the assessment, addressing the following: a) Are data decisions made by the Data and Assessment Workshop sound and robust? b) Are data uncertainties acknowledged, reported, and within normal or expected levels? c) Are data applied properly within the assessment model? d) Are input data series reliable and sufficient to support the assessment approach and findings? 2) Evaluate the methods used to assess the stock, taking into account the available data. a) Are methods scientifically sound and robust? b) Are assessment models configured properly and used consistent with standard practices? c) Are the methods appropriate for the available data? 3) Evaluate the assessment findings with respect to the following: a) Are abundance, exploitation, and biomass estimates reliable, consistent with input data and population biological characteristics, and useful to support status inferences? b) Is the stock overfished? What information helps you reach this conclusion? c) Is the stock undergoing overfishing? What information helps you reach this conclusion? d) Is there an informative stock recruitment relationship? Is the stock recruitment curve reliable and useful for evaluation of productivity and future stock conditions? e) Are the quantitative estimates of the status determination criteria for this stock appropriate for management use? If not, are there other indicators that may be used to inform managers about stock trends and conditions? 4) Consider how uncertainties in the assessment, and their potential consequences, are addressed. a) Comment on the degree to which methods used to evaluate uncertainty reflect and capture the significant sources of uncertainty in the population, data sources, and assessment methods b) Ensure that the implications of uncertainty in technical conclusions are clearly stated. 5) Consider the research recommendations provided by the Data and Assessment workshop and make any additional recommendations or prioritizations warranted. a) Clearly denote research and monitoring that could improve the reliability of, and information provided by, future assessments. b) Provide recommendations on possible ways to improve the SEDAR process. 6) Provide guidance on key improvements in data or modeling approaches which should be considered when scheduling the next assessment. 7) Prepare a Peer Review Summary summarizing the Panel s evaluation of the stock assessment and addressing each Term of Reference. Develop a list of tasks to be completed following the workshop. Complete and submit the Peer Review Summary Report in accordance with the project guidelines. The panel shall ensure that corrected estimates are provided by addenda to the assessment report in the event corrections are made in the assessment, alternative model configurations are recommended, or additional analyses are prepared as a result of review panel findings regarding the TORs above.

On-Line Data Analytics

On-Line Data Analytics International Journal of Computer Applications in Engineering Sciences [VOL I, ISSUE III, SEPTEMBER 2011] [ISSN: 2231-4946] On-Line Data Analytics Yugandhar Vemulapalli #, Devarapalli Raghu *, Raja Jacob

More information

PREPARED BY: IOTC SECRETARIAT 1, 20 SEPTEMBER 2017

PREPARED BY: IOTC SECRETARIAT 1, 20 SEPTEMBER 2017 OUTCOMES OF THE 19 th SESSION OF THE SCIENTIFIC COMMITTEE PREPARED BY: IOTC SECRETARIAT 1, 20 SEPTEMBER 2017 PURPOSE To inform participants at the 8 th Working Party on Methods (WPM08) of the recommendations

More information

Software Maintenance

Software Maintenance 1 What is Software Maintenance? Software Maintenance is a very broad activity that includes error corrections, enhancements of capabilities, deletion of obsolete capabilities, and optimization. 2 Categories

More information

Probability estimates in a scenario tree

Probability estimates in a scenario tree 101 Chapter 11 Probability estimates in a scenario tree An expert is a person who has made all the mistakes that can be made in a very narrow field. Niels Bohr (1885 1962) Scenario trees require many numbers.

More information

How to Judge the Quality of an Objective Classroom Test

How to Judge the Quality of an Objective Classroom Test How to Judge the Quality of an Objective Classroom Test Technical Bulletin #6 Evaluation and Examination Service The University of Iowa (319) 335-0356 HOW TO JUDGE THE QUALITY OF AN OBJECTIVE CLASSROOM

More information

BASIC EDUCATION IN GHANA IN THE POST-REFORM PERIOD

BASIC EDUCATION IN GHANA IN THE POST-REFORM PERIOD BASIC EDUCATION IN GHANA IN THE POST-REFORM PERIOD By Abena D. Oduro Centre for Policy Analysis Accra November, 2000 Please do not Quote, Comments Welcome. ABSTRACT This paper reviews the first stage of

More information

The Good Judgment Project: A large scale test of different methods of combining expert predictions

The Good Judgment Project: A large scale test of different methods of combining expert predictions The Good Judgment Project: A large scale test of different methods of combining expert predictions Lyle Ungar, Barb Mellors, Jon Baron, Phil Tetlock, Jaime Ramos, Sam Swift The University of Pennsylvania

More information

CHAPTER 4: REIMBURSEMENT STRATEGIES 24

CHAPTER 4: REIMBURSEMENT STRATEGIES 24 CHAPTER 4: REIMBURSEMENT STRATEGIES 24 INTRODUCTION Once state level policymakers have decided to implement and pay for CSR, one issue they face is simply how to calculate the reimbursements to districts

More information

Science Fair Project Handbook

Science Fair Project Handbook Science Fair Project Handbook IDENTIFY THE TESTABLE QUESTION OR PROBLEM: a) Begin by observing your surroundings, making inferences and asking testable questions. b) Look for problems in your life or surroundings

More information

GDP Falls as MBA Rises?

GDP Falls as MBA Rises? Applied Mathematics, 2013, 4, 1455-1459 http://dx.doi.org/10.4236/am.2013.410196 Published Online October 2013 (http://www.scirp.org/journal/am) GDP Falls as MBA Rises? T. N. Cummins EconomicGPS, Aurora,

More information

Statewide Framework Document for:

Statewide Framework Document for: Statewide Framework Document for: 270301 Standards may be added to this document prior to submission, but may not be removed from the framework to meet state credit equivalency requirements. Performance

More information

Teaching a Laboratory Section

Teaching a Laboratory Section Chapter 3 Teaching a Laboratory Section Page I. Cooperative Problem Solving Labs in Operation 57 II. Grading the Labs 75 III. Overview of Teaching a Lab Session 79 IV. Outline for Teaching a Lab Session

More information

Oklahoma State University Policy and Procedures

Oklahoma State University Policy and Procedures Oklahoma State University Policy and Procedures REAPPOINTMENT, PROMOTION AND TENURE PROCESS FOR RANKED FACULTY 2-0902 ACADEMIC AFFAIRS September 2015 PURPOSE The purpose of this policy and procedures letter

More information

H2020 Marie Skłodowska Curie Innovative Training Networks Informal guidelines for the Mid-Term Meeting

H2020 Marie Skłodowska Curie Innovative Training Networks Informal guidelines for the Mid-Term Meeting H2020 Marie Skłodowska Curie Innovative Training Networks Informal guidelines for the Mid-Term Meeting These guidelines are not an official document of the Research Executive Agency services. June 2016

More information

MGT/MGP/MGB 261: Investment Analysis

MGT/MGP/MGB 261: Investment Analysis UNIVERSITY OF CALIFORNIA, DAVIS GRADUATE SCHOOL OF MANAGEMENT SYLLABUS for Fall 2014 MGT/MGP/MGB 261: Investment Analysis Daytime MBA: Tu 12:00p.m. - 3:00 p.m. Location: 1302 Gallagher (CRN: 51489) Sacramento

More information

Introduction to Simulation

Introduction to Simulation Introduction to Simulation Spring 2010 Dr. Louis Luangkesorn University of Pittsburgh January 19, 2010 Dr. Louis Luangkesorn ( University of Pittsburgh ) Introduction to Simulation January 19, 2010 1 /

More information

Generating Test Cases From Use Cases

Generating Test Cases From Use Cases 1 of 13 1/10/2007 10:41 AM Generating Test Cases From Use Cases by Jim Heumann Requirements Management Evangelist Rational Software pdf (155 K) In many organizations, software testing accounts for 30 to

More information

Probability and Statistics Curriculum Pacing Guide

Probability and Statistics Curriculum Pacing Guide Unit 1 Terms PS.SPMJ.3 PS.SPMJ.5 Plan and conduct a survey to answer a statistical question. Recognize how the plan addresses sampling technique, randomization, measurement of experimental error and methods

More information

What is Thinking (Cognition)?

What is Thinking (Cognition)? What is Thinking (Cognition)? Edward De Bono says that thinking is... the deliberate exploration of experience for a purpose. The action of thinking is an exploration, so when one thinks one investigates,

More information

Kristin Moser. Sherry Woosley, Ph.D. University of Northern Iowa EBI

Kristin Moser. Sherry Woosley, Ph.D. University of Northern Iowa EBI Kristin Moser University of Northern Iowa Sherry Woosley, Ph.D. EBI "More studies end up filed under "I" for 'Interesting' or gather dust on someone's shelf because we fail to package the results in ways

More information

Progress Report (January 2011)

Progress Report (January 2011) Project Code : T1 6 C1 Project Start Date (Month/Year) : 04 / 2010 Project Title : Influence of Manufacturing Parameters on CLT Plate to Resist Out-of-plane Loading Project Completion Date (Month/Year)

More information

Why Did My Detector Do That?!

Why Did My Detector Do That?! Why Did My Detector Do That?! Predicting Keystroke-Dynamics Error Rates Kevin Killourhy and Roy Maxion Dependable Systems Laboratory Computer Science Department Carnegie Mellon University 5000 Forbes Ave,

More information

Uncertainty concepts, types, sources

Uncertainty concepts, types, sources Copernicus Institute SENSE Autumn School Dealing with Uncertainties Bunnik, 8 Oct 2012 Uncertainty concepts, types, sources Dr. Jeroen van der Sluijs j.p.vandersluijs@uu.nl Copernicus Institute, Utrecht

More information

Physics 270: Experimental Physics

Physics 270: Experimental Physics 2017 edition Lab Manual Physics 270 3 Physics 270: Experimental Physics Lecture: Lab: Instructor: Office: Email: Tuesdays, 2 3:50 PM Thursdays, 2 4:50 PM Dr. Uttam Manna 313C Moulton Hall umanna@ilstu.edu

More information

OPTIMIZATINON OF TRAINING SETS FOR HEBBIAN-LEARNING- BASED CLASSIFIERS

OPTIMIZATINON OF TRAINING SETS FOR HEBBIAN-LEARNING- BASED CLASSIFIERS OPTIMIZATINON OF TRAINING SETS FOR HEBBIAN-LEARNING- BASED CLASSIFIERS Václav Kocian, Eva Volná, Michal Janošek, Martin Kotyrba University of Ostrava Department of Informatics and Computers Dvořákova 7,

More information

PROPOSAL FOR NEW UNDERGRADUATE PROGRAM. Institution Submitting Proposal. Degree Designation as on Diploma. Title of Proposed Degree Program

PROPOSAL FOR NEW UNDERGRADUATE PROGRAM. Institution Submitting Proposal. Degree Designation as on Diploma. Title of Proposed Degree Program PROPOSAL FOR NEW UNDERGRADUATE PROGRAM Institution Submitting Proposal Degree Designation as on Diploma Title of Proposed Degree Program EEO Status CIP Code Academic Unit (e.g. Department, Division, School)

More information

Maximizing Learning Through Course Alignment and Experience with Different Types of Knowledge

Maximizing Learning Through Course Alignment and Experience with Different Types of Knowledge Innov High Educ (2009) 34:93 103 DOI 10.1007/s10755-009-9095-2 Maximizing Learning Through Course Alignment and Experience with Different Types of Knowledge Phyllis Blumberg Published online: 3 February

More information

FY16 UW-Parkside Institutional IT Plan Report

FY16 UW-Parkside Institutional IT Plan Report FY16 UW-Parkside Institutional IT Plan Report A. Information Technology & University Strategic Objectives [1-2 pages] 1. How was the plan developed? The plan is a compilation of input received from a wide

More information

JONATHAN H. WRIGHT Department of Economics, Johns Hopkins University, 3400 N. Charles St., Baltimore MD (410)

JONATHAN H. WRIGHT Department of Economics, Johns Hopkins University, 3400 N. Charles St., Baltimore MD (410) JONATHAN H. WRIGHT Department of Economics, Johns Hopkins University, 3400 N. Charles St., Baltimore MD 21218. (410) 516 5728 wrightj@jhu.edu EDUCATION Harvard University 1993-1997. Ph.D., Economics (1997).

More information

The Oregon Literacy Framework of September 2009 as it Applies to grades K-3

The Oregon Literacy Framework of September 2009 as it Applies to grades K-3 The Oregon Literacy Framework of September 2009 as it Applies to grades K-3 The State Board adopted the Oregon K-12 Literacy Framework (December 2009) as guidance for the State, districts, and schools

More information

Denbigh School. Sex Education and Relationship Policy

Denbigh School. Sex Education and Relationship Policy Denbigh School Sex Education and Relationship Policy 2014 2017 This policy was developed in response to Sex and Relationship Education (SRE) Guidance DfES 2000, the National Teenage Pregnancy Strategy

More information

College of Arts and Science Procedures for the Third-Year Review of Faculty in Tenure-Track Positions

College of Arts and Science Procedures for the Third-Year Review of Faculty in Tenure-Track Positions College of Arts and Science Procedures for the Third-Year Review of Faculty in Tenure-Track Positions Introduction (Last revised December 2012) When the College of Arts and Sciences hires a tenure-track

More information

Office Hours: Mon & Fri 10:00-12:00. Course Description

Office Hours: Mon & Fri 10:00-12:00. Course Description 1 State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 4 credits (3 credits lecture, 1 credit lab) Fall 2016 M/W/F 1:00-1:50 O Brian 112 Lecture Dr. Michelle Benson mbenson2@buffalo.edu

More information

CHMB16H3 TECHNIQUES IN ANALYTICAL CHEMISTRY

CHMB16H3 TECHNIQUES IN ANALYTICAL CHEMISTRY CHMB16H3 TECHNIQUES IN ANALYTICAL CHEMISTRY FALL 2017 COURSE SYLLABUS Course Instructors Kagan Kerman (Theoretical), e-mail: kagan.kerman@utoronto.ca Office hours: Mondays 3-6 pm in EV502 (on the 5th floor

More information

Class Numbers: & Personal Financial Management. Sections: RVCC & RVDC. Summer 2008 FIN Fully Online

Class Numbers: & Personal Financial Management. Sections: RVCC & RVDC. Summer 2008 FIN Fully Online Summer 2008 FIN 3140 Personal Financial Management Fully Online Sections: RVCC & RVDC Class Numbers: 53262 & 53559 Instructor: Jim Keys Office: RB 207B, University Park Campus Office Phone: 305-348-3268

More information

USC VITERBI SCHOOL OF ENGINEERING

USC VITERBI SCHOOL OF ENGINEERING USC VITERBI SCHOOL OF ENGINEERING APPOINTMENTS, PROMOTIONS AND TENURE (APT) GUIDELINES Office of the Dean USC Viterbi School of Engineering OHE 200- MC 1450 Revised 2016 PREFACE This document serves as

More information

Arizona s English Language Arts Standards th Grade ARIZONA DEPARTMENT OF EDUCATION HIGH ACADEMIC STANDARDS FOR STUDENTS

Arizona s English Language Arts Standards th Grade ARIZONA DEPARTMENT OF EDUCATION HIGH ACADEMIC STANDARDS FOR STUDENTS Arizona s English Language Arts Standards 11-12th Grade ARIZONA DEPARTMENT OF EDUCATION HIGH ACADEMIC STANDARDS FOR STUDENTS 11 th -12 th Grade Overview Arizona s English Language Arts Standards work together

More information

Further, Robert W. Lissitz, University of Maryland Huynh Huynh, University of South Carolina ADEQUATE YEARLY PROGRESS

Further, Robert W. Lissitz, University of Maryland Huynh Huynh, University of South Carolina ADEQUATE YEARLY PROGRESS A peer-reviewed electronic journal. Copyright is retained by the first or sole author, who grants right of first publication to Practical Assessment, Research & Evaluation. Permission is granted to distribute

More information

Lecture 1: Machine Learning Basics

Lecture 1: Machine Learning Basics 1/69 Lecture 1: Machine Learning Basics Ali Harakeh University of Waterloo WAVE Lab ali.harakeh@uwaterloo.ca May 1, 2017 2/69 Overview 1 Learning Algorithms 2 Capacity, Overfitting, and Underfitting 3

More information

LANGUAGE DIVERSITY AND ECONOMIC DEVELOPMENT. Paul De Grauwe. University of Leuven

LANGUAGE DIVERSITY AND ECONOMIC DEVELOPMENT. Paul De Grauwe. University of Leuven Preliminary draft LANGUAGE DIVERSITY AND ECONOMIC DEVELOPMENT Paul De Grauwe University of Leuven January 2006 I am grateful to Michel Beine, Hans Dewachter, Geert Dhaene, Marco Lyrio, Pablo Rovira Kaltwasser,

More information

A GENERIC SPLIT PROCESS MODEL FOR ASSET MANAGEMENT DECISION-MAKING

A GENERIC SPLIT PROCESS MODEL FOR ASSET MANAGEMENT DECISION-MAKING A GENERIC SPLIT PROCESS MODEL FOR ASSET MANAGEMENT DECISION-MAKING Yong Sun, a * Colin Fidge b and Lin Ma a a CRC for Integrated Engineering Asset Management, School of Engineering Systems, Queensland

More information

Expert Reference Series of White Papers. Mastering Problem Management

Expert Reference Series of White Papers. Mastering Problem Management Expert Reference Series of White Papers Mastering Problem Management 1-800-COURSES www.globalknowledge.com Mastering Problem Management Hank Marquis, PhD, FBCS, CITP Introduction IT Organization (ITO)

More information

PM tutor. Estimate Activity Durations Part 2. Presented by Dipo Tepede, PMP, SSBB, MBA. Empowering Excellence. Powered by POeT Solvers Limited

PM tutor. Estimate Activity Durations Part 2. Presented by Dipo Tepede, PMP, SSBB, MBA. Empowering Excellence. Powered by POeT Solvers Limited PM tutor Empowering Excellence Estimate Activity Durations Part 2 Presented by Dipo Tepede, PMP, SSBB, MBA This presentation is copyright 2009 by POeT Solvers Limited. All rights reserved. This presentation

More information

Mathematics Program Assessment Plan

Mathematics Program Assessment Plan Mathematics Program Assessment Plan Introduction This assessment plan is tentative and will continue to be refined as needed to best fit the requirements of the Board of Regent s and UAS Program Review

More information

Master in Science in Chemistry with Biomedicine - UMSH4CSCB

Master in Science in Chemistry with Biomedicine - UMSH4CSCB Master in Science in Chemistry with Biomedicine - UMSH4CSCB Academic year modifications to take effect 2016/7 Description and rationale for changes Please describe as clearly and precisely as possible

More information

Document number: 2013/ Programs Committee 6/2014 (July) Agenda Item 42.0 Bachelor of Engineering with Honours in Software Engineering

Document number: 2013/ Programs Committee 6/2014 (July) Agenda Item 42.0 Bachelor of Engineering with Honours in Software Engineering Document number: 2013/0006139 Programs Committee 6/2014 (July) Agenda Item 42.0 Bachelor of Engineering with Honours in Software Engineering Program Learning Outcomes Threshold Learning Outcomes for Engineering

More information

Applications of data mining algorithms to analysis of medical data

Applications of data mining algorithms to analysis of medical data Master Thesis Software Engineering Thesis no: MSE-2007:20 August 2007 Applications of data mining algorithms to analysis of medical data Dariusz Matyja School of Engineering Blekinge Institute of Technology

More information

New Jersey Department of Education World Languages Model Program Application Guidance Document

New Jersey Department of Education World Languages Model Program Application Guidance Document New Jersey Department of Education 2018-2020 World Languages Model Program Application Guidance Document Please use this guidance document to help you prepare for your district s application submission

More information

Major Milestones, Team Activities, and Individual Deliverables

Major Milestones, Team Activities, and Individual Deliverables Major Milestones, Team Activities, and Individual Deliverables Milestone #1: Team Semester Proposal Your team should write a proposal that describes project objectives, existing relevant technology, engineering

More information

Colorado s Unified Improvement Plan for Schools for Online UIP Report

Colorado s Unified Improvement Plan for Schools for Online UIP Report Colorado s Unified Improvement Plan for Schools for 2015-16 Online UIP Report Organization Code: 2690 District Name: PUEBLO CITY 60 Official 2014 SPF: 1-Year Executive Summary How are students performing?

More information

University of New Hampshire Policies and Procedures for Student Evaluation of Teaching (2016) Academic Affairs Thompson Hall

University of New Hampshire Policies and Procedures for Student Evaluation of Teaching (2016) Academic Affairs Thompson Hall University of New Hampshire Policies and Procedures for Student Evaluation of Teaching (2016) Academic Affairs Thompson Hall 603-862-3290 I. PURPOSE This document sets forth policies and procedures for

More information

Visit us at:

Visit us at: White Paper Integrating Six Sigma and Software Testing Process for Removal of Wastage & Optimizing Resource Utilization 24 October 2013 With resources working for extended hours and in a pressurized environment,

More information

Institutional review. University of Wales, Newport. November 2010

Institutional review. University of Wales, Newport. November 2010 Institutional review University of Wales, Newport November 2010 The Quality Assurance Agency for Higher Education 2011 ISBN 978 1 84979 260 8 All QAA's publications are available on our website www.qaa.ac.uk

More information

State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210

State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210 1 State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210 Dr. Michelle Benson mbenson2@buffalo.edu Office: 513 Park Hall Office Hours: Mon & Fri 10:30-12:30

More information

Rule-based Expert Systems

Rule-based Expert Systems Rule-based Expert Systems What is knowledge? is a theoretical or practical understanding of a subject or a domain. is also the sim of what is currently known, and apparently knowledge is power. Those who

More information

Title:A Flexible Simulation Platform to Quantify and Manage Emergency Department Crowding

Title:A Flexible Simulation Platform to Quantify and Manage Emergency Department Crowding Author's response to reviews Title:A Flexible Simulation Platform to Quantify and Manage Emergency Department Crowding Authors: Joshua E Hurwitz (jehurwitz@ufl.edu) Jo Ann Lee (joann5@ufl.edu) Kenneth

More information

EECS 571 PRINCIPLES OF REAL-TIME COMPUTING Fall 10. Instructor: Kang G. Shin, 4605 CSE, ;

EECS 571 PRINCIPLES OF REAL-TIME COMPUTING Fall 10. Instructor: Kang G. Shin, 4605 CSE, ; EECS 571 PRINCIPLES OF REAL-TIME COMPUTING Fall 10 Instructor: Kang G. Shin, 4605 CSE, 763-0391; kgshin@umich.edu Number of credit hours: 4 Class meeting time and room: Regular classes: MW 10:30am noon

More information

Institutionen för datavetenskap. Hardware test equipment utilization measurement

Institutionen för datavetenskap. Hardware test equipment utilization measurement Institutionen för datavetenskap Department of Computer and Information Science Final thesis Hardware test equipment utilization measurement by Denis Golubovic, Niklas Nieminen LIU-IDA/LITH-EX-A 15/030

More information

Prentice Hall Literature Common Core Edition Grade 10, 2012

Prentice Hall Literature Common Core Edition Grade 10, 2012 A Correlation of Prentice Hall Literature Common Core Edition, 2012 To the New Jersey Model Curriculum A Correlation of Prentice Hall Literature Common Core Edition, 2012 Introduction This document demonstrates

More information

Mathematics subject curriculum

Mathematics subject curriculum Mathematics subject curriculum Dette er ei omsetjing av den fastsette læreplanteksten. Læreplanen er fastsett på Nynorsk Established as a Regulation by the Ministry of Education and Research on 24 June

More information

STUDENT AND ACADEMIC SERVICES

STUDENT AND ACADEMIC SERVICES STUDENT AND ACADEMIC SERVICES Admissions Division International Admissions Administrator (3 posts available) Full Time, Fixed Term for 12 months Grade D: 21,220-25,298 per annum De Montfort University

More information

Evaluation of a College Freshman Diversity Research Program

Evaluation of a College Freshman Diversity Research Program Evaluation of a College Freshman Diversity Research Program Sarah Garner University of Washington, Seattle, Washington 98195 Michael J. Tremmel University of Washington, Seattle, Washington 98195 Sarah

More information

A guidance for assessing and communicating uncertainties

A guidance for assessing and communicating uncertainties A guidance for assessing and communicating uncertainties P.H.M. Janssen*, A.C. Petersen*, J.P. van der Sluijs**, J.S. Risbey*** and J.R. Ravetz**** *Netherlands Environmental Assessment Agency (RIVM/MNP),

More information

Evidence for Reliability, Validity and Learning Effectiveness

Evidence for Reliability, Validity and Learning Effectiveness PEARSON EDUCATION Evidence for Reliability, Validity and Learning Effectiveness Introduction Pearson Knowledge Technologies has conducted a large number and wide variety of reliability and validity studies

More information

Task Tolerance of MT Output in Integrated Text Processes

Task Tolerance of MT Output in Integrated Text Processes Task Tolerance of MT Output in Integrated Text Processes John S. White, Jennifer B. Doyon, and Susan W. Talbott Litton PRC 1500 PRC Drive McLean, VA 22102, USA {white_john, doyon jennifer, talbott_susan}@prc.com

More information

AUTOMATED TROUBLESHOOTING OF MOBILE NETWORKS USING BAYESIAN NETWORKS

AUTOMATED TROUBLESHOOTING OF MOBILE NETWORKS USING BAYESIAN NETWORKS AUTOMATED TROUBLESHOOTING OF MOBILE NETWORKS USING BAYESIAN NETWORKS R.Barco 1, R.Guerrero 2, G.Hylander 2, L.Nielsen 3, M.Partanen 2, S.Patel 4 1 Dpt. Ingeniería de Comunicaciones. Universidad de Málaga.

More information

UNIVERSITY OF DAR-ES-SALAAM OFFICE OF VICE CHANCELLOR-ACADEMIC DIRECTORATE OF POSTGRADUATE STUDIUES

UNIVERSITY OF DAR-ES-SALAAM OFFICE OF VICE CHANCELLOR-ACADEMIC DIRECTORATE OF POSTGRADUATE STUDIUES UNIVERSITY OF DAR-ES-SALAAM OFFICE OF VICE CHANCELLOR-ACADEMIC DIRECTORATE OF POSTGRADUATE STUDIUES GUIDELINES AND REGULATIONS FOR PLAGIARISM AND DEPLOYMENT OF POSTGRADUATE STUDENTS FOR TEACHING OR TECHNICAL

More information

Director, Ohio State Agricultural Technical Institute

Director, Ohio State Agricultural Technical Institute Director, Ohio State Agricultural Technical Institute The Ohio State University invites applications and nominations for the position of Director, Ohio State Agricultural Technical Institute (Ohio State

More information

Corpus Linguistics (L615)

Corpus Linguistics (L615) (L615) Basics of Markus Dickinson Department of, Indiana University Spring 2013 1 / 23 : the extent to which a sample includes the full range of variability in a population distinguishes corpora from archives

More information

Introduction to Causal Inference. Problem Set 1. Required Problems

Introduction to Causal Inference. Problem Set 1. Required Problems Introduction to Causal Inference Problem Set 1 Professor: Teppei Yamamoto Due Friday, July 15 (at beginning of class) Only the required problems are due on the above date. The optional problems will not

More information

I N T E R P R E T H O G A N D E V E L O P HOGAN BUSINESS REASONING INVENTORY. Report for: Martina Mustermann ID: HC Date: May 02, 2017

I N T E R P R E T H O G A N D E V E L O P HOGAN BUSINESS REASONING INVENTORY. Report for: Martina Mustermann ID: HC Date: May 02, 2017 S E L E C T D E V E L O P L E A D H O G A N D E V E L O P I N T E R P R E T HOGAN BUSINESS REASONING INVENTORY Report for: Martina Mustermann ID: HC906276 Date: May 02, 2017 2 0 0 9 H O G A N A S S E S

More information

Telekooperation Seminar

Telekooperation Seminar Telekooperation Seminar 3 CP, SoSe 2017 Nikolaos Alexopoulos, Rolf Egert. {alexopoulos,egert}@tk.tu-darmstadt.de based on slides by Dr. Leonardo Martucci and Florian Volk General Information What? Read

More information

Reference to Tenure track faculty in this document includes tenured faculty, unless otherwise noted.

Reference to Tenure track faculty in this document includes tenured faculty, unless otherwise noted. PHILOSOPHY DEPARTMENT FACULTY DEVELOPMENT and EVALUATION MANUAL Approved by Philosophy Department April 14, 2011 Approved by the Office of the Provost June 30, 2011 The Department of Philosophy Faculty

More information

November 2012 MUET (800)

November 2012 MUET (800) November 2012 MUET (800) OVERALL PERFORMANCE A total of 75 589 candidates took the November 2012 MUET. The performance of candidates for each paper, 800/1 Listening, 800/2 Speaking, 800/3 Reading and 800/4

More information

VIEW: An Assessment of Problem Solving Style

VIEW: An Assessment of Problem Solving Style 1 VIEW: An Assessment of Problem Solving Style Edwin C. Selby, Donald J. Treffinger, Scott G. Isaksen, and Kenneth Lauer This document is a working paper, the purposes of which are to describe the three

More information

Application of Virtual Instruments (VIs) for an enhanced learning environment

Application of Virtual Instruments (VIs) for an enhanced learning environment Application of Virtual Instruments (VIs) for an enhanced learning environment Philip Smyth, Dermot Brabazon, Eilish McLoughlin Schools of Mechanical and Physical Sciences Dublin City University Ireland

More information

Seminar - Organic Computing

Seminar - Organic Computing Seminar - Organic Computing Self-Organisation of OC-Systems Markus Franke 25.01.2006 Typeset by FoilTEX Timetable 1. Overview 2. Characteristics of SO-Systems 3. Concern with Nature 4. Design-Concepts

More information

National and Regional performance and accountability: State of the Nation/Region Program Costa Rica.

National and Regional performance and accountability: State of the Nation/Region Program Costa Rica. National and Regional performance and accountability: State of the Nation/Region Program Costa Rica. Miguel Gutierrez Saxe. 1 The State of the Nation Report: a method to learn and think about a country.

More information

PROCEDURES FOR SELECTION OF INSTRUCTIONAL MATERIALS FOR THE SCHOOL DISTRICT OF LODI

PROCEDURES FOR SELECTION OF INSTRUCTIONAL MATERIALS FOR THE SCHOOL DISTRICT OF LODI PROCEDURES FOR SELECTION OF INSTRUCTIONAL MATERIALS FOR THE SCHOOL DISTRICT OF LODI Reference: Policy Number 322 and No. 322.1 (A) 3-7-94 (R) 10-10-94 The School District of Lodi shall comply with Standard

More information

The Effects of Ability Tracking of Future Primary School Teachers on Student Performance

The Effects of Ability Tracking of Future Primary School Teachers on Student Performance The Effects of Ability Tracking of Future Primary School Teachers on Student Performance Johan Coenen, Chris van Klaveren, Wim Groot and Henriëtte Maassen van den Brink TIER WORKING PAPER SERIES TIER WP

More information

SURVEY RESEARCH POLICY TABLE OF CONTENTS STATEMENT OF POLICY REASON FOR THIS POLICY

SURVEY RESEARCH POLICY TABLE OF CONTENTS STATEMENT OF POLICY REASON FOR THIS POLICY SURVEY RESEARCH POLICY Volume : APP/IP Chapter : R1 Responsible Executive: Provost and Executive Vice President Responsible Office: Institutional and Community Engagement, Institutional Effectiveness Date

More information

Algebra 1, Quarter 3, Unit 3.1. Line of Best Fit. Overview

Algebra 1, Quarter 3, Unit 3.1. Line of Best Fit. Overview Algebra 1, Quarter 3, Unit 3.1 Line of Best Fit Overview Number of instructional days 6 (1 day assessment) (1 day = 45 minutes) Content to be learned Analyze scatter plots and construct the line of best

More information

This Performance Standards include four major components. They are

This Performance Standards include four major components. They are Environmental Physics Standards The Georgia Performance Standards are designed to provide students with the knowledge and skills for proficiency in science. The Project 2061 s Benchmarks for Science Literacy

More information

Probabilistic Latent Semantic Analysis

Probabilistic Latent Semantic Analysis Probabilistic Latent Semantic Analysis Thomas Hofmann Presentation by Ioannis Pavlopoulos & Andreas Damianou for the course of Data Mining & Exploration 1 Outline Latent Semantic Analysis o Need o Overview

More information

CAAP. Content Analysis Report. Sample College. Institution Code: 9011 Institution Type: 4-Year Subgroup: none Test Date: Spring 2011

CAAP. Content Analysis Report. Sample College. Institution Code: 9011 Institution Type: 4-Year Subgroup: none Test Date: Spring 2011 CAAP Content Analysis Report Institution Code: 911 Institution Type: 4-Year Normative Group: 4-year Colleges Introduction This report provides information intended to help postsecondary institutions better

More information

Conceptual Framework: Presentation

Conceptual Framework: Presentation Meeting: Meeting Location: International Public Sector Accounting Standards Board New York, USA Meeting Date: December 3 6, 2012 Agenda Item 2B For: Approval Discussion Information Objective(s) of Agenda

More information

Update on the Affordable Care Act. Association of Business Administrators September 24, 2014

Update on the Affordable Care Act. Association of Business Administrators September 24, 2014 Update on the Affordable Care Act Association of Business Administrators September 24, 2014 1 Planning Assumptions Collaborative effort with Provost Office and School Working Group Affordable Care Act

More information

Presentation Advice for your Professional Review

Presentation Advice for your Professional Review Presentation Advice for your Professional Review This document contains useful tips for both aspiring engineers and technicians on: managing your professional development from the start planning your Review

More information

Monitoring Metacognitive abilities in children: A comparison of children between the ages of 5 to 7 years and 8 to 11 years

Monitoring Metacognitive abilities in children: A comparison of children between the ages of 5 to 7 years and 8 to 11 years Monitoring Metacognitive abilities in children: A comparison of children between the ages of 5 to 7 years and 8 to 11 years Abstract Takang K. Tabe Department of Educational Psychology, University of Buea

More information

A Pipelined Approach for Iterative Software Process Model

A Pipelined Approach for Iterative Software Process Model A Pipelined Approach for Iterative Software Process Model Ms.Prasanthi E R, Ms.Aparna Rathi, Ms.Vardhani J P, Mr.Vivek Krishna Electronics and Radar Development Establishment C V Raman Nagar, Bangalore-560093,

More information

Ryerson University Sociology SOC 483: Advanced Research and Statistics

Ryerson University Sociology SOC 483: Advanced Research and Statistics Ryerson University Sociology SOC 483: Advanced Research and Statistics Prerequisites: SOC 481 Instructor: Paul S. Moore E-mail: psmoore@ryerson.ca Office: Sociology Department Jorgenson JOR 306 Phone:

More information

STUDENT ASSESSMENT, EVALUATION AND PROMOTION

STUDENT ASSESSMENT, EVALUATION AND PROMOTION 300-37 Administrative Procedure 360 STUDENT ASSESSMENT, EVALUATION AND PROMOTION Background Maintaining a comprehensive system of student assessment and evaluation is an integral component of the teaching-learning

More information

MASTER OF ARTS IN APPLIED SOCIOLOGY. Thesis Option

MASTER OF ARTS IN APPLIED SOCIOLOGY. Thesis Option MASTER OF ARTS IN APPLIED SOCIOLOGY Thesis Option As part of your degree requirements, you will need to complete either an internship or a thesis. In selecting an option, you should evaluate your career

More information

Oklahoma State University Policy and Procedures

Oklahoma State University Policy and Procedures Oklahoma State University Policy and Procedures GUIDELINES TO GOVERN WORKLOAD ASSIGNMENTS OF FACULTY MEMBERS 2-0110 ACADEMIC AFFAIRS August 2014 INTRODUCTION 1.01 Oklahoma State University, as a comprehensive

More information

TU-E2090 Research Assignment in Operations Management and Services

TU-E2090 Research Assignment in Operations Management and Services Aalto University School of Science Operations and Service Management TU-E2090 Research Assignment in Operations Management and Services Version 2016-08-29 COURSE INSTRUCTOR: OFFICE HOURS: CONTACT: Saara

More information

Language Acquisition Fall 2010/Winter Lexical Categories. Afra Alishahi, Heiner Drenhaus

Language Acquisition Fall 2010/Winter Lexical Categories. Afra Alishahi, Heiner Drenhaus Language Acquisition Fall 2010/Winter 2011 Lexical Categories Afra Alishahi, Heiner Drenhaus Computational Linguistics and Phonetics Saarland University Children s Sensitivity to Lexical Categories Look,

More information

FACTORS THAT INFLUENCE THE COLLEGE CHOICE PROCESS FOR AFRICAN AMERICAN STUDENTS. Melanie L. Hayden. Thesis submitted to the Faculty of the

FACTORS THAT INFLUENCE THE COLLEGE CHOICE PROCESS FOR AFRICAN AMERICAN STUDENTS. Melanie L. Hayden. Thesis submitted to the Faculty of the FACTORS THAT INFLUENCE THE COLLEGE CHOICE PROCESS FOR AFRICAN AMERICAN STUDENTS by Melanie L. Hayden Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University In partial

More information

RECRUITMENT AND EXAMINATIONS

RECRUITMENT AND EXAMINATIONS CHAPTER V: RECRUITMENT AND EXAMINATIONS RULE 5.1 RECRUITMENT Section 5.1.1 Announcement of Examinations RULE 5.2 EXAMINATION Section 5.2.1 Determination of Examinations 5.2.2 Open Competitive Examinations

More information

Module 12. Machine Learning. Version 2 CSE IIT, Kharagpur

Module 12. Machine Learning. Version 2 CSE IIT, Kharagpur Module 12 Machine Learning 12.1 Instructional Objective The students should understand the concept of learning systems Students should learn about different aspects of a learning system Students should

More information

Introduction to Psychology

Introduction to Psychology Course Title Introduction to Psychology Course Number PSYCH-UA.9001001 SAMPLE SYLLABUS Instructor Contact Information André Weinreich aw111@nyu.edu Course Details Wednesdays, 1:30pm to 4:15pm Location

More information