University of Puerto Rico Mayagüez Campus Mathematical Sciences Department. First Semester Second Semester Summer 1 Summer 2 Extended Summer
|
|
|
- Caitlin Allison
- 5 years ago
- Views:
Transcription
1 University of Puerto Rico Mayagüez Campus Mathematical Sciences Department Undergraduate regular courses on MATH MATE 3000 Finite Mathematics First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3020 Introduction to the Foundations of Math. First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3005 Pre-Calculus First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3021 Calculus For Biological Sciences I First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3022 Calculus For Biological Sciences II First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3030 Introduction to Geometry First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3031 Calculus I First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3032 Calculus II First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3040 Theory of Numbers First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3048 Mathematical Analysis First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3049 Mathematical Analysis for Management Sciences First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3063 Calculus III First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3086 Mathematical Reasoning First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3171 Pre-Calculus I First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3172 Pre-Calculus II First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 3181 Discrete Mathematics I First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4000 Elements of Topology First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4008 Introduction to Algebraic Structures First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4009 Ordinary Differential First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4010 Introduction to Complex Variables with First Semester Second Semester Summer 1 Summer 2 Extended Summer Applications MATE 4023 Mathematics Education I First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4031 Introduction to Linear Algebra First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4039 The Use of Technology in the Teachings of First Semester Second Semester Summer 1 Summer 2 Extended Summer Mathematics MATE 4050 Undergraduate Seminar First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4051 Advanced Calculus I First Semester Second Semester Summer 1 Summer 2 Extended Summer
2 MATE 4052 Advanced Calculus II First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4061 Numerical Analysis I First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4071 Introduction to Mathematics of Modern First Semester Second Semester Summer 1 Summer 2 Extended Summer Science I MATE 4072 Introduction to Mathematics of Modern First Semester Second Semester Summer 1 Summer 2 Extended Summer Science Ii MATE 4120 History of Mathematics First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4145 Linear Algebra and Differential Equations First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4990 Undergraduate Research First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 4997 Special Topics in Mathematics First Semester Second Semester Summer 1 Summer 2 Extended Summer Undergraduate regular courses on COMP COMP 3010 Introduction To Computer First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 3057 Computer Fundamentals First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 3075 Introduction to Data Structures First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 3110 Introduction to Computer Programming II First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 4006 Operating Systems First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP/ICOM 4009 Software Engineering First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 4016 Computer Organization First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 4017 Computer Algorithms First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 4018 Database Systems First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 4036 Programming Languages First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 4046 Computer Graphics First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 4995 Computer Science Practicum First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 4998 Topics In Computer Science I First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 4999 Topics In Computer Science Ii First Semester Second Semester Summer 1 Summer 2 Extended Summer Undergraduate regular courses on ESMA ESMA 3015 Elementary Statistics First Semester Second Semester Summer 1 Summer 2 Extended Summer ESMA 3016 Statistical Data Analysis First Semester Second Semester Summer 1 Summer 2 Extended Summer ESMA 3101 Applied Statistics I First Semester Second Semester Summer 1 Summer 2 Extended Summer
3 ESMA 3102 Applied Statistics II First Semester Second Semester Summer 1 Summer 2 Extended Summer ESMA 4001 Mathematical Statistics I First Semester Second Semester Summer 1 Summer 2 Extended Summer
4 Graduate regular courses on MATE MATE 5150 Linear Algebra First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6025 Numerical Linear Algebra First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6026 Numerical Optimization First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6201 Abstract Algebra First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6202 Abstract Algebra II First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6261 Theory of Functions of a Real Variable First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6262 Theory of Functions of a Real Variable II First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6540 Topology First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6672 Numerical Mathematical Analysis First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6674 Numerical Methods For Differential Eq. First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6675 Mathematics Of Modern Science I First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6676 Mathematics Of Modern Science II First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6677 Elementary Partial Differential Eq. First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE Seminar First Semester Second Semester Summer 1 Summer 2 Extended Summer MATE 6999 Thesis First Semester Second Semester Summer 1 Summer 2 Extended Summer Graduate regular courses on COMP COMP 6025 Scientific Visualization First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 6785 Analysis Of Algorithms First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 6786 High-Performance Computing First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 6838/6839 Topics In Computer Science First Semester Second Semester Summer 1 Summer 2 Extended Summer COMP 6998 THESIS First Semester Second Semester Summer 1 Summer 2 Extended Summer
5 Graduate regular courses on ESMA ESMA 6205 Applied Regression First Semester Second Semester Summer 1 Summer 2 Extended Summer ESMA 6305 Statistical Methods First Semester Second Semester Summer 1 Summer 2 Extended Summer ESMA 6600 Probability Theory First Semester Second Semester Summer 1 Summer 2 Extended Summer ESMA 6661 Theory of Statistics First Semester Second Semester Summer 1 Summer 2 Extended Summer Graduate regular courses on EDMA EDMA 6005 Geometry First Semester Second Semester Summer 1 Summer 2 Extended Summer EDMA 6015 Set Theory And Logic First Semester Second Semester Summer 1 Summer 2 Extended Summer EDMA 6025 Calculus Theory First Semester Second Semester Summer 1 Summer 2 Extended Summer EDMA 6105 Problem-Solving First Semester Second Semester Summer 1 Summer 2 Extended Summer EDMA 6205 Statistics First Semester Second Semester Summer 1 Summer 2 Extended Summer EDMA 6215 Technology In Mathematics Teaching First Semester Second Semester Summer 1 Summer 2 Extended Summer EDMA 6225 Modern Algebra First Semester Second Semester Summer 1 Summer 2 Extended Summer EDMA 6991 Topics in Mathematics Education First Semester Second Semester Summer 1 Summer 2 Extended Summer EDMA 6992 Topics in Number Theory First Semester Second Semester Summer 1 Summer 2 Extended Summer EDMA 6993 Project in Mathematics Education First Semester Second Semester Summer 1 Summer 2 Extended Summer
6 Undergraduate irregular courses MATE 3047 Introductory Probability Second semester, every year MATE 3182 Discrete Mathematics II MATE Mathematics Practice for Coop Students I-II MATE 4007 Higher Geometry MATE 4020 PARTIAL DIFFERENTIAL EQUATIONS AND FOURIER SERIES Second semester every year MATE 4021 Fundamentals of Mathematical Logic MATE 4062 Numerical Analysis II MATE 4088 Differential Geometry Using Computers COMP 3015 Linux And Free/Open Source Software For Stem COMP 4025 Computing Models COMP 4075 Programming Methodology COMP 4086 Computer Architecture ESMA 4002 Mathematical Statistics II First semester, every odd year ESMA 4005 Non-Parametric Applied Statistics Second semester, every odd year ESMA 4006 Statistics for the Biological Sciences ESMA 4016 Data Mining and Machine Learning ESMA 4038 Sampling Methods First semester, every even year Graduate irregular courses MATE 5047 Intermediate Differential Equations MATE 5049 Calculus Of Variations MATE 5055 Vector Analysis MATE 5056 Tensor Analysis MATE 6006 The Mathematics Of The Continuous Media Models MATE 6035 Topics in Operation Research I First semester, every two year MATE 6036 Topics in Operation Research II MATE 6045 Optimization Theory
7 MATE 6202 Abstract Algebra MATE 6262 Theory of Functions of a Real Variable II MATE 6301 Theory of Functions of a Complex Variable MATE 6530 Differential Geometry I MATE 6551 Algebraic Topology MATE 6622 Topics in the Theory of Functions of a Complex Variable MATE Topics in Analysis MATE 6631 Topics In Mathematical Logic MATE Introduction to Higher Geometry MATE 6670 DIFERENTIABLE MANIFOLDS MATE 6673 NUMERICAL MATHEMATICAL ANALYSIS LABORATORY MATE 6678 SPECIAL TOPICS IN PARTIAL DIFERENTIAL EQUATIONS MATE TOPICS IN ALGEBRA MATE 6705 PROJECT MATE 6993 TOPICS IN DIFERENTIAL GEOMETRY I MATE 6994 TOPICS IN DIFERENTIAL GEOMETRY II MATE 6995 Special Topics COMP/ICOM 5015 Artificial Intelligence COMP 5045 Automata And Formal Languages COMP 5055 Parallel Computation COMP 6315/ESMA 6315 Data Mining COMP 6787 Internship COMP 6995 Project in Scientific Computing ESMA 5015 Stochastic Simulation ESMA 6607 Advanced Sampling ESMA 6616 Linear Models ESMA 6660 Biostatistical Analysis ESMA 6662 Theory Of Statistics II ESMA 6665 Statistical Computing First semester, every even year First semester, every odd year First semester, every odd year Second semester, every odd year First semester, every even year
8 ESMA 6787 Experimental Design ESMA 6788 Advanced Probability Theory ESMA 6789 Stochastic Processes ESMA 6835 Topics In Statistics ESMA 6836 Topics In Statistics Second semester, every even year Second semester, every even year First semester, every odd year
B.S/M.A in Mathematics
B.S/M.A in Mathematics The dual Bachelor of Science/Master of Arts in Mathematics program provides an opportunity for individuals to pursue advanced study in mathematics and to develop skills that can
EGRHS Course Fair. Science & Math AP & IB Courses
EGRHS Course Fair Science & Math AP & IB Courses Science Courses: AP Physics IB Physics SL IB Physics HL AP Biology IB Biology HL AP Physics Course Description Course Description AP Physics C (Mechanics)
Mathematics. Mathematics
Mathematics Program Description Successful completion of this major will assure competence in mathematics through differential and integral calculus, providing an adequate background for employment in
We are strong in research and particularly noted in software engineering, information security and privacy, and humane gaming.
Computer Science 1 COMPUTER SCIENCE Office: Department of Computer Science, ECS, Suite 379 Mail Code: 2155 E Wesley Avenue, Denver, CO 80208 Phone: 303-871-2458 Email: info@cs.du.edu Web Site: Computer
CURRICULUM VITAE. To develop expertise in Graph Theory and expand my knowledge by doing Research in the same.
Mrs. JESSICA PEREIRA. BITS Pilani KK Birla Goa Campus. Qtr No. D - 122, Mathematics Department. NH 17B Zuarinagar Goa 403726 India. Office: +91-832-2580445 Mobile: +919921004218 Email: jessica@goa.bits-pilani.ac.in
Undergraduate Program Guide. Bachelor of Science. Computer Science DEPARTMENT OF COMPUTER SCIENCE and ENGINEERING
Undergraduate Program Guide Bachelor of Science in Computer Science 2011-2012 DEPARTMENT OF COMPUTER SCIENCE and ENGINEERING The University of Texas at Arlington 500 UTA Blvd. Engineering Research Building,
GRADUATE STUDENT HANDBOOK Master of Science Programs in Biostatistics
2017-2018 GRADUATE STUDENT HANDBOOK Master of Science Programs in Biostatistics Entrance requirements, program descriptions, degree requirements and other program policies for Biostatistics Master s Programs
EECS 700: Computer Modeling, Simulation, and Visualization Fall 2014
EECS 700: Computer Modeling, Simulation, and Visualization Fall 2014 Course Description The goals of this course are to: (1) formulate a mathematical model describing a physical phenomenon; (2) to discretize
Computer Science (CSE)
Computer (CSE) Major and Minor in Computer Department of Computer, College of Engineering and Applied s CHAIRPERSON: Arie Kaufman UNDERGRADUATE PROGRAM DIRECTOR: Leo Bachmair UNDERGRADUATE SECRETARY: Rose
Statistics and Data Analytics Minor
October 28, 2014 Page 1 of 6 PROGRAM IDENTIFICATION NAME OF THE MINOR Statistics and Data Analytics ACADEMIC PROGRAM PROPOSING THE MINOR Mathematics PROGRAM DESCRIPTION DESCRIPTION OF THE MINOR AND STUDENT
Fashion Design Program Articulation
Memorandum of Understanding (206-207) Los Angeles City College This document is intended both as a memorandum of understanding for college counselors and as a guide for students transferring into Woodbury
AP Calculus AB. Nevada Academic Standards that are assessable at the local level only.
Calculus AB Priority Keys Aligned with Nevada Standards MA I MI L S MA represents a Major content area. Any concept labeled MA is something of central importance to the entire class/curriculum; it is a
MASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE
Master of Science (M.S.) Major in Computer Science 1 MASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE Major Program The programs in computer science are designed to prepare students for doctoral research,
Massachusetts Institute of Technology Tel: Massachusetts Avenue Room 32-D558 MA 02139
Hariharan Narayanan Massachusetts Institute of Technology Tel: 773.428.3115 LIDS har@mit.edu 77 Massachusetts Avenue http://www.mit.edu/~har Room 32-D558 MA 02139 EMPLOYMENT Massachusetts Institute of
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
Date : Controller of Examinations Principal Wednesday Saturday Wednesday
Tamil /Hindi /Malayalam /French N6BXX2TX1A/B/C/D @@ @# English for Enrichment N6BXX2T62Z @@ Sree Saraswathi Thyagaraja College (Autonomous), Pollachi 642 107 06.05.2017 10.05.2017 13.05.2017 I B.Sc (MAT)
Self Study Report Computer Science
Computer Science undergraduate students have access to undergraduate teaching, and general computing facilities in three buildings. Two large classrooms are housed in the Davis Centre, which hold about
Level 6. Higher Education Funding Council for England (HEFCE) Fee for 2017/18 is 9,250*
Programme Specification: Undergraduate For students starting in Academic Year 2017/2018 1. Course Summary Names of programme(s) and award title(s) Award type Mode of study Framework of Higher Education
Bluetooth mlearning Applications for the Classroom of the Future
Bluetooth mlearning Applications for the Classroom of the Future Tracey J. Mehigan Daniel C. Doolan Sabin Tabirca University College Cork, Ireland 2007 Overview Overview Introduction Mobile Learning Bluetooth
PROGRAM AND EXAMINATION REGULATIONS FOR THE MASTER S PROGRAM IN INDUSTRIAL AND APPLIED MATHEMATICS
PROGRAM AND EXAMINATION REGULATIONS FOR THE MASTER S PROGRAM IN INDUSTRIAL AND APPLIED MATHEMATICS The official Onderwijs- en Examenregeling (OER) for IAM is a document in Dutch. This introduction provides
Improving Fairness in Memory Scheduling
Improving Fairness in Memory Scheduling Using a Team of Learning Automata Aditya Kajwe and Madhu Mutyam Department of Computer Science & Engineering, Indian Institute of Tehcnology - Madras June 14, 2014
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
The University of Winnipeg Recognition of Prior Learning (RPL) Undergraduate Degree Credits
The University of Winnipeg Recognition of Prior Learning (RPL) Undergraduate Degree Credits Definition: RPL/PLAR at The University of Winnipeg provides learners with welcome opportunities to identify demonstrate
ME 443/643 Design Techniques in Mechanical Engineering. Lecture 1: Introduction
ME 443/643 Design Techniques in Mechanical Engineering Lecture 1: Introduction Instructor: Dr. Jagadeep Thota Instructor Introduction Born in Bangalore, India. B.S. in ME @ Bangalore University, India.
Syllabus ENGR 190 Introductory Calculus (QR)
Syllabus ENGR 190 Introductory Calculus (QR) Catalog Data: ENGR 190 Introductory Calculus (4 credit hours). Note: This course may not be used for credit toward the J.B. Speed School of Engineering B. S.
PROGRAM REVIEW CALCULUS TRACK MATH COURSES (MATH 170, 180, 190, 191, 210, 220, 270) May 1st, 2012
PROGRAM REVIEW CALCULUS TRACK MATH COURSES (MATH 170, 180, 190, 191, 210, 220, 270) May 1st, 2012 MICHAEL BATEMAN JILL EVENSIZER GREG FRY HAMZA HAMZA LINDA HO ROBERT HORVATH BOB LEWIS ASHOD MINASIAN KRISTINE
Python Machine Learning
Python Machine Learning Unlock deeper insights into machine learning with this vital guide to cuttingedge predictive analytics Sebastian Raschka [ PUBLISHING 1 open source I community experience distilled
School of Innovative Technologies and Engineering
School of Innovative Technologies and Engineering Department of Applied Mathematical Sciences Proficiency Course in MATLAB COURSE DOCUMENT VERSION 1.0 PCMv1.0 July 2012 University of Technology, Mauritius
Mathematics 112 Phone: (580) Southeastern Oklahoma State University Web: Durant, OK USA
Karl H. Frinkle Contact Information Research Interests Education Mathematics 112 Phone: (580) 745-2028 Department of Mathematics E-mail: kfrinkle@se.edu Southeastern Oklahoma State University Web: http://homepages.se.edu/kfrinkle/
MTH 141 Calculus 1 Syllabus Spring 2017
Instructor: Section/Meets Office Hrs: Textbook: Calculus: Single Variable, by Hughes-Hallet et al, 6th ed., Wiley. Also needed: access code to WileyPlus (included in new books) Calculator: Not required,
Laboratorio di Intelligenza Artificiale e Robotica
Laboratorio di Intelligenza Artificiale e Robotica A.A. 2008-2009 Outline 2 Machine Learning Unsupervised Learning Supervised Learning Reinforcement Learning Genetic Algorithms Genetics-Based Machine Learning
ADVANCED PLACEMENT STUDENTS IN COLLEGE: AN INVESTIGATION OF COURSE GRADES AT 21 COLLEGES. Rick Morgan Len Ramist
February 1998 Report No. SR-98-13 ADVANCED PLACEMENT STUDENTS IN COLLEGE: AN INVESTIGATION OF COURSE GRADES AT 21 COLLEGES Rick Morgan Len Ramist Unpublished Statistical Report This is a limited distribution
Navigating the PhD Options in CMS
Navigating the PhD Options in CMS This document gives an overview of the typical student path through the four Ph.D. programs in the CMS department ACM, CDS, CS, and CMS. Note that it is not a replacement
Bachelor of Science. Undergraduate Program. Department of Physics
Department of Physics Undergraduate Program Bachelor of Science Students with a strong interest in understanding the fundamental whys and hows of natural physical phenomena are encouraged to consider majoring
Health and Human Physiology, B.A.
Health and Human, B.A. Health and Human, B.A. Requirements The Bachelor of Arts with a major in health and human physiology requires a minimum of 0 s.h., including work for the major, which varies by track.
AGS THE GREAT REVIEW GAME FOR PRE-ALGEBRA (CD) CORRELATED TO CALIFORNIA CONTENT STANDARDS
AGS THE GREAT REVIEW GAME FOR PRE-ALGEBRA (CD) CORRELATED TO CALIFORNIA CONTENT STANDARDS 1 CALIFORNIA CONTENT STANDARDS: Chapter 1 ALGEBRA AND WHOLE NUMBERS Algebra and Functions 1.4 Students use algebraic
EDINA SENIOR HIGH SCHOOL Registration Class of 2020
EDINA SENIOR HIGH SCHOOL 2017-2018 Registration Class of 2020 Angela Kieffer Taylor Johnson Dylan Hackbarth Lisa Burnham Sandy Schmidt Bill Hicks Course Catalog You may find the course catalog at: http://www.edinaschools.org/ehscounseling_registration
COMPUTER SCIENCE GRADUATE STUDIES Course Descriptions by Methodology
COMPUTER SCIENCE GRADUATE STUDIES Course Descriptions by Methodology MSc Students must complete 4 Graduate Level Courses and cover breadth in 3 Methodolgies. METHODOLOGY 1 Analysis and Computation in Discrete
STA 225: Introductory Statistics (CT)
Marshall University College of Science Mathematics Department STA 225: Introductory Statistics (CT) Course catalog description A critical thinking course in applied statistical reasoning covering basic
Learning Methods for Fuzzy Systems
Learning Methods for Fuzzy Systems Rudolf Kruse and Andreas Nürnberger Department of Computer Science, University of Magdeburg Universitätsplatz, D-396 Magdeburg, Germany Phone : +49.39.67.876, Fax : +49.39.67.8
Georgia Institute of Technology Graduate Curriculum Committee Minutes. January 20, 2011
Georgia Institute of Technology Graduate Curriculum Committee Minutes Present: Babensee (BME), Pikowsky (Registrar), Storici (BIO), Clarke (CoM), Flowers (ARCH), Mazalek (LCC), Silva (ECON), Corso (PSYC),
Mathematics, Statistics and Computer Science
114 HIST 4550. Medieval East Asia Examines the tremendous flourishing of Chinese and Japanese cultures between the 7th and 14th centuries and the influence Mongol conquests played on the diffusion of these
Honors Mathematics. Introduction and Definition of Honors Mathematics
Honors Mathematics Introduction and Definition of Honors Mathematics Honors Mathematics courses are intended to be more challenging than standard courses and provide multiple opportunities for students
Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for
Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for Email Marilyn A. Walker Jeanne C. Fromer Shrikanth Narayanan walker@research.att.com jeannie@ai.mit.edu shri@research.att.com
TREATMENT OF SMC COURSEWORK FOR STUDENTS WITHOUT AN ASSOCIATE OF ARTS
Articulation Agreement REGIS UNIVERSITY Associate s to Bachelor s Program PURPOSE The purpose of the agreement is to enable SMC students who transfer to Regis with an Associate of Arts to be recognized
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
UNIT ONE Tools of Algebra
UNIT ONE Tools of Algebra Subject: Algebra 1 Grade: 9 th 10 th Standards and Benchmarks: 1 a, b,e; 3 a, b; 4 a, b; Overview My Lessons are following the first unit from Prentice Hall Algebra 1 1. Students
COSI Meet the Majors Fall 17. Prof. Mitch Cherniack Undergraduate Advising Head (UAH), COSI Fall '17: Instructor COSI 29a
COSI Meet the Majors Fall 17 Prof. Mitch Cherniack Undergraduate Advising Head (UAH), COSI Fall '17: Instructor COSI 29a Agenda Resources Available To You When You Have Questions COSI Courses, Majors and
Stochastic Calculus for Finance I (46-944) Spring 2008 Syllabus
Stochastic Calculus for Finance I (46-944) Spring 2008 Syllabus Introduction. This is a first course in stochastic calculus for finance. It assumes students are familiar with the material in Introduction
PH.D. IN COMPUTER SCIENCE PROGRAM (POST M.S.)
PH.D. IN COMPUTER SCIENCE PROGRAM (POST M.S.) OVERVIEW ADMISSION REQUIREMENTS PROGRAM REQUIREMENTS OVERVIEW FOR THE PH.D. IN COMPUTER SCIENCE Overview The doctoral program is designed for those students
CSL465/603 - Machine Learning
CSL465/603 - Machine Learning Fall 2016 Narayanan C Krishnan ckn@iitrpr.ac.in Introduction CSL465/603 - Machine Learning 1 Administrative Trivia Course Structure 3-0-2 Lecture Timings Monday 9.55-10.45am
Requirements for the Degree: Bachelor of Science in Education in Early Childhood Special Education (P-5)
Requirements for the Degree: Bachelor of Science in Education in Early Childhood Special Education (P-5) Core Curriculum Requirements: 60 hours Minimum Academic Good Standing Grade Point Average:.75 Upper
Detailed course syllabus
Detailed course syllabus 1. Linear regression model. Ordinary least squares method. This introductory class covers basic definitions of econometrics, econometric model, and economic data. Classification
Human Emotion Recognition From Speech
RESEARCH ARTICLE OPEN ACCESS Human Emotion Recognition From Speech Miss. Aparna P. Wanare*, Prof. Shankar N. Dandare *(Department of Electronics & Telecommunication Engineering, Sant Gadge Baba Amravati
Laboratorio di Intelligenza Artificiale e Robotica
Laboratorio di Intelligenza Artificiale e Robotica A.A. 2008-2009 Outline 2 Machine Learning Unsupervised Learning Supervised Learning Reinforcement Learning Genetic Algorithms Genetics-Based Machine Learning
IT Students Workshop within Strategic Partnership of Leibniz University and Peter the Great St. Petersburg Polytechnic University
IT Students Workshop within Strategic Partnership of Leibniz University and Peter the Great St. Petersburg Polytechnic University 06.11.16 13.11.16 Hannover Our group from Peter the Great St. Petersburg
Introduction to CS 100 Overview of UK. CS September 2015
Introduction to CS 100 Overview of CS @ UK CS 100 1 September 2015 Outline CS100: Structure and Expectations Context: Organization, mission, etc. BS in CS Degree Program Department Locations Our Faculty
COMPUTER SCIENCE GRADUATE STUDIES Course Descriptions by Research Area
COMPUTER SCIENCE GRADUATE STUDIES Course Descriptions by Research Area PhD students must complete 4 graduate level courses and cover breadth in 4 research areas. PhD-U students must complete 4 research
Grade 6: Correlated to AGS Basic Math Skills
Grade 6: Correlated to AGS Basic Math Skills Grade 6: Standard 1 Number Sense Students compare and order positive and negative integers, decimals, fractions, and mixed numbers. They find multiples and
Department of Computer Science. Program Review Self-Study
Department of Computer Science Program Review 2004-2005 Self-Study Verification of Faculty Review Each full-time faculty member of the Department of Computer Science has been asked to sign the following
SCIENCE. Kanagawa University FACULTY OF. Department of. Information Sciences. Department of. Biological Sciences. Department of
Kanagawa University FACULTY OF SCIENCE NEW (New establishment scheduled for 2012) First, we must broaden our views and learn the fundamentals in order to investigate the questions posed by nature. CONTENTS
Charity Cayton 3921A Granada Dr, Winterville, NC Phone: (336) ,
Charity Cayton 3921A Granada Dr, Winterville, NC 28590 Phone: (336) 210-5767, Email: caytonc@ecu.edu Education PhD in Mathematics Education, North Carolina State University, December 2012 Dissertation
Dinesh K. Sharma, Ph.D. Department of Management School of Business and Economics Fayetteville State University
Department of Management School of Business and Economics Fayetteville State University EDUCATION Doctor of Philosophy, Devi Ahilya University, Indore, India (2013) Area of Specialization: Management:
OFFICE SUPPORT SPECIALIST Technical Diploma
OFFICE SUPPORT SPECIALIST Technical Diploma Program Code: 31-106-8 our graduates INDEMAND 2017/2018 mstc.edu administrative professional career pathway OFFICE SUPPORT SPECIALIST CUSTOMER RELATIONSHIP PROFESSIONAL
ADVANCED AND HONORS DIPLOMAS (BEGINNING WITH THE GRADUATING CLASS OF 2013)
ADVANCED AND HONORS DIPLOMAS (BEGINNING WITH THE GRADUATING CLASS OF 2013) A student in the Glendale Union High School District may pursue a Glendale Union High School District ADVANCED DIPLOMA or HONORS
Penn State University - University Park MATH 140 Instructor Syllabus, Calculus with Analytic Geometry I Fall 2010
Penn State University - University Park MATH 140 Instructor Syllabus, Calculus with Analytic Geometry I Fall 2010 There are two ways to live: you can live as if nothing is a miracle; you can live as if
Purdue Data Summit Communication of Big Data Analytics. New SAT Predictive Validity Case Study
Purdue Data Summit 2017 Communication of Big Data Analytics New SAT Predictive Validity Case Study Paul M. Johnson, Ed.D. Associate Vice President for Enrollment Management, Research & Enrollment Information
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
Answer Key Applied Calculus 4
Answer Key Applied Calculus 4 Free PDF ebook Download: Answer Key 4 Download or Read Online ebook answer key applied calculus 4 in PDF Format From The Best User Guide Database CALCULUS. FOR THE for the
Axiom 2013 Team Description Paper
Axiom 2013 Team Description Paper Mohammad Ghazanfari, S Omid Shirkhorshidi, Farbod Samsamipour, Hossein Rahmatizadeh Zagheli, Mohammad Mahdavi, Payam Mohajeri, S Abbas Alamolhoda Robotics Scientific Association
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 /
Chemical Engineering Mcgill Cegep Entry
Mcgill Cegep Entry Free PDF ebook Download: Mcgill Cegep Entry Download or Read Online ebook chemical engineering mcgill cegep entry in PDF Format From The Best User Guide Database 4.1.1 BSc in & Process.
Reinforcement Learning by Comparing Immediate Reward
Reinforcement Learning by Comparing Immediate Reward Punit Pandey DeepshikhaPandey Dr. Shishir Kumar Abstract This paper introduces an approach to Reinforcement Learning Algorithm by comparing their immediate
Educational Leadership and Policy Studies Doctoral Programs (Ed.D. and Ph.D.)
Contact: Susan Korach susan.korach@du.edu Morgridge Office of Admissions mce@du.edu http://morgridge.du.edu/ Educational Leadership and Policy Studies Doctoral Programs (Ed.D. and Ph.D.) Doctoral (Ed.D.
Revised on Common Course Number Data Sheet 221 Course Identification. Campus Course Attribute. Prerequisite Text Min.
Common Number Data Sheet 221 Campus 1 AMST150 MAN FGB NA 3 America and the World Examines America's role in world history and the influence of world affairs on U.S. culture and society. Focuses on U.S.
Department of Computer Science GCU Prospectus
Department of Computer Science GCU Prospectus 2015 59 Introduction In recent years, the immense growth of numerous industries resulted in the instant need for young and vigorous IT professionals, who could
The 9 th International Scientific Conference elearning and software for Education Bucharest, April 25-26, / X
The 9 th International Scientific Conference elearning and software for Education Bucharest, April 25-26, 2013 10.12753/2066-026X-13-154 DATA MINING SOLUTIONS FOR DETERMINING STUDENT'S PROFILE Adela BÂRA,
PATHWAYS IN FIRST YEAR MATHS
PATHWAYS IN FIRST YEAR MATHS MILAN PAHOR School of Mathematics and Statistics MATH1131- MATHEMATICS 1A Largest first year course. Approx. 1300 students Has two components: Algebra, Calculus. There is also
Computer Organization I (Tietokoneen toiminta)
581305-6 Computer Organization I (Tietokoneen toiminta) Teemu Kerola University of Helsinki Department of Computer Science Spring 2010 1 Computer Organization I Course area and goals Course learning methods
Timeline. Recommendations
Introduction Advanced Placement Course Credit Alignment Recommendations In 2007, the State of Ohio Legislature passed legislation mandating the Board of Regents to recommend and the Chancellor to adopt
Spring 2014 SYLLABUS Michigan State University STT 430: Probability and Statistics for Engineering
Spring 2014 SYLLABUS Michigan State University STT 430: Probability and Statistics for Engineering Time and Place: MW 3:00-4:20pm, A126 Wells Hall Instructor: Dr. Marianne Huebner Office: A-432 Wells Hall
Bachelor of Science in Banking & Finance: Accounting Specialization
eibfs معهد الامارات للدراسات المصرفية والمالية Emirates Institute for Banking and Financial Studies Bachelor of Science in Banking & Finance: Accounting Specialization BACHELOR OF SCIENCE IN BANKING AND
Chapter 2. Intelligent Agents. Outline. Agents and environments. Rationality. PEAS (Performance measure, Environment, Actuators, Sensors)
Intelligent Agents Chapter 2 1 Outline Agents and environments Rationality PEAS (Performance measure, Environment, Actuators, Sensors) Agent types 2 Agents and environments sensors environment percepts
Academic Catalog Programs & Courses Manchester Community College
2016 2017 Academic Catalog Programs & Courses Manchester Community College 1 Accounting and Business Administration Transfer, A.S. Program Design The Accounting and Business Administration Transfer associate
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
University of Groningen. Systemen, planning, netwerken Bosman, Aart
University of Groningen Systemen, planning, netwerken Bosman, Aart IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document
Radius STEM Readiness TM
Curriculum Guide Radius STEM Readiness TM While today s teens are surrounded by technology, we face a stark and imminent shortage of graduates pursuing careers in Science, Technology, Engineering, and
Curriculum Vitae FARES FRAIJ, Ph.D. Lecturer
Current Address Curriculum Vitae FARES FRAIJ, Ph.D. Lecturer Department of Computer Science University of Texas at Austin 2317 Speedway, Stop D9500 Austin, Texas 78712-1757 Education 2005 Doctor of Philosophy,
Xinyu Tang. Education. Research Interests. Honors and Awards. Professional Experience
Xinyu Tang Parasol Laboratory Department of Computer Science Texas A&M University, TAMU 3112 College Station, TX 77843-3112 phone:(979)847-8835 fax: (979)458-0425 email: xinyut@tamu.edu url: http://parasol.tamu.edu/people/xinyut
What is related to student retention in STEM for STEM majors? Abstract:
What is related to student retention in STEM for STEM majors? Abstract: The purpose of this study was look at the impact of English and math courses and grades on retention in the STEM major after one
Measurement. When Smaller Is Better. Activity:
Measurement Activity: TEKS: When Smaller Is Better (6.8) Measurement. The student solves application problems involving estimation and measurement of length, area, time, temperature, volume, weight, and
South Carolina English Language Arts
South Carolina English Language Arts A S O F J U N E 2 0, 2 0 1 0, T H I S S TAT E H A D A D O P T E D T H E CO M M O N CO R E S TAT E S TA N DA R D S. DOCUMENTS REVIEWED South Carolina Academic Content
Business Analytics and Information Tech COURSE NUMBER: 33:136:494 COURSE TITLE: Data Mining and Business Intelligence
Business Analytics and Information Tech COURSE NUMBER: 33:136:494 COURSE TITLE: Data Mining and Business Intelligence COURSE DESCRIPTION This course presents computing tools and concepts for all stages
c o l l e g e o f Educ ation
c o l l e g e o f Educ ation Welcome to the College of Education. Since our founding more than 140 years ago, Kutztown University has remained an educational leader. Our long and distinguished history
Machine Learning from Garden Path Sentences: The Application of Computational Linguistics
Machine Learning from Garden Path Sentences: The Application of Computational Linguistics http://dx.doi.org/10.3991/ijet.v9i6.4109 J.L. Du 1, P.F. Yu 1 and M.L. Li 2 1 Guangdong University of Foreign Studies,
STRUCTURAL ENGINEERING PROGRAM INFORMATION FOR GRADUATE STUDENTS
STRUCTURAL ENGINEERING PROGRAM INFORMATION FOR GRADUATE STUDENTS The Structural Engineering graduate program at Clemson University offers Master of Science and Doctor of Philosophy degrees in Civil Engineering.
Manifesto del Corso di Laurea Magistrale in Matematica COORTE 2016/17
Dipartimento di Matematica Manifesto del Corso di Laurea Magistrale in Matematica COORTE 2016/17 Approvato nel Consiglio di Dipartimento del 20 aprile 2017 1. Definitions of terms used in this document
ACTL5103 Stochastic Modelling For Actuaries. Course Outline Semester 2, 2014
UNSW Australia Business School School of Risk and Actuarial Studies ACTL5103 Stochastic Modelling For Actuaries Course Outline Semester 2, 2014 Part A: Course-Specific Information Please consult Part B
INPE São José dos Campos
INPE-5479 PRE/1778 MONLINEAR ASPECTS OF DATA INTEGRATION FOR LAND COVER CLASSIFICATION IN A NEDRAL NETWORK ENVIRONNENT Maria Suelena S. Barros Valter Rodrigues INPE São José dos Campos 1993 SECRETARIA
AN EXAMPLE OF THE GOMORY CUTTING PLANE ALGORITHM. max z = 3x 1 + 4x 2. 3x 1 x x x x N 2
AN EXAMPLE OF THE GOMORY CUTTING PLANE ALGORITHM Consider the integer programme subject to max z = 3x 1 + 4x 2 3x 1 x 2 12 3x 1 + 11x 2 66 The first linear programming relaxation is subject to x N 2 max