# BIOM611 Biological Data Analysis

Size: px
Start display at page:

Transcription

1 BIOM611 Biological Data Analysis Spring, 2015 Tentative Syllabus Introduction BIOMED611 is a ½ unit course required for all 1 st year BGS students (except GCB students). It will provide an introduction to important topics in biostatistical concepts and reasoning and instructions on practices in data analysis. Specific topics include tools for describing and summarizing data; inference methods on population means and proportions; statistical hypothesis testing; group comparisons; simple linear regression; categorical data analysis; time to event data analysis; power and sample size in study designs. Labs will help students learn and implement the methods using R. Though there are some formulae and computational elements to the course, the emphasis is on interpretation, concepts, and applications. Description Time and Place: Lecture 3:30 4:30 Monday, Class of 62 Auditorium, John Morgan Building. Labs 3:30 5:00 Tuesday to Friday, BRB 259 Each student is required to attend the lecture and one of the labs during the week; Everyone should stick to the same day of the lab after it is chosen. Instructor: Dr. Rui Feng Blockley 211) TA and lab instructors: Emin Tahirovic (head) Others (3 4) TBA Office Hours: instructor 4:30 5:30 on Monday; TAs: 5:00 5:30 on Tuesday to Friday Textbook The Design and Statistical Analysis of Animal Experiments (2014, Simon T. Bate and Robin A. Clark, Cambridge) Special Instructions Lecture notes, R programs and datasets for examples will be available on R online resources are available at CRAN: project.org/ and R manual is available at 1

2 Course Objectives Recognize different types of data arising in biomedical studies Interpret differences in data distributions via visual displays Calculate standard normal scores and resulting probabilities Calculate and interpret confidence intervals for population means and proportions Interpret and explain a p value Perform a two sample t test and interpret the results Select an appropriate test for comparing continuous outcomes in two or multiple populations Choose an appropriate method for comparing proportions between two groups Understand and interpret relative risks and odds ratios when comparing two populations Understand why timed to event data requires its own type of analysis techniques Construct a Kaplan Meier estimate of the survival function that describes the "survival experience" of a cohort of subjects Interpret the result of a log rank test in the context of comparing the "survival experience" of multiple cohorts Describe different kinds of studies Understand confounding and interaction in studies Interpret output from the statistical software package related to the various estimation and hypothesis testing procedures covered in the course Use R to manipulate data and perform various analyses 2

3 Discussion Topics Week Topic Chapters 1 (01/14) Course introduction; introduction to statistics Ch.1 Lab: R introduction, installation, data import 2 (01/19) Random variables, samples, populations, probabilities Ch 2.1 & 2.2 & Lab: Data manipulation, random number generation 3 (01/26) Data summaries: statistics and graphic tools Ch 5.2&5.3 4 (02/02) Population mean and confidence intervals Ch (02/09) Hypothesis testing with one sample example Ch (02/16) Two sample t-test and Wilcoxon tests Ch & & (02/23) ANOVA Ch (03/02) Midterm 9 (03/16) Simple linear regression Ch (03/23) Regression diagnosis Ch (03/30) Multiple comparison Ch (04/06) Power and sample size Ch (04/13) Analysis of contingency tables Ch (04/20) Time to event data introduction Ch (04/27) Cox PH model Ch Reading week 17 (05/04-05/12) Final 3

4 Attendance and Lecture Policies Use of computers during lecture is distracting for both the students using them and those sitting nearby. Laptops, tablets, smartphones, or other electronic devices need to be silenced and you cannot use any during lectures. All students are required to bring their own laptops and power to the lab, with R appropriately installed after the 1 st lab. Evaluation Homework assignments (35%) 4 Canvas Quizzes (15%) Midterm (25%) Final (25%) Grading Scale A A A B B B C C C D D Homework Types of Homework: Two types of homework are required of this course. (i) Short Problems: Taken directly from the text and meant to reinforce and review concepts presented in class. (ii) Longer Problems: Developed by the instructors and may require an extension or application of the methodological concepts developed in class or in the text. They may be based on scenarios encountered by collaborative statisticians and require creative thinking and integration of concepts to solve. Policy: Each homework has equal value unless indicated otherwise by the instructor. A homework assignment is due on most Tuesdays. They will be available on the class web page a couple of weeks before they are due. I will not hand out printed copies of the assignments in class. Late homework will not be accepted. Do not e mail me/ta your homework assignments; we will not save them. You must hand in your homework assignments on paper. Quizzes 4 quizzes will be held via CANVAS for approximately minutes. No make ups. Exams The exams will be cumulative. The main emphasis of the exams will be testing your knowledge of what the appropriate statistical test is to use in a particular situation and how to interpret 4

5 the results. You will not be allowed to use reference books or notes or cell phones, tablets, or advanced calculators (models advanced than TI 30X or TI 36X or equivalent) during the exams, but you will need a simple calculator. There will no make up exam. Under extreme circumstances, taking exams in next year will be allowed with permission. 5

### Lake-Sumter Community College Course Syllabus. STA 2023 Course Title: Elementary Statistics I. Contact Information: Office Hours:

Lake-Sumter Community College Course Syllabus Course / Prefix Number: STA 2023 Course Title: Elementary Statistics I CRN: 10105 (T TH) 10106 (M W) Credit: 3 Term: Fall 2011 Course Catalog Description:

### STAT 121 Hybrid SUMMER 2014 Introduction to Statistics for the Social Sciences Session I: May 27 th July 3 rd

STAT 121 Hybrid SUMMER 2014 Introduction to Statistics for the Social Sciences Session I: May 27 th July 3 rd Instructor: Ms. Bonnie Kegan EMAIL: bkegan1@umbc.edu Contact Numbers: Mobile Phone: 410 507

### STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009

STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009 Instructor: Bill Welbourn Office: Lund 117 Email: bill.welbourn@aggiemail.usu.edu Lectures: MWF 7:30AM 9:40AM in ENGR 104 Office Hours:

### Section Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini

NEW YORK UNIVERSITY ROBERT F. WAGNER GRADUATE SCHOOL OF PUBLIC SERVICE Course Syllabus Spring 2016 Statistical Methods for Public, Nonprofit, and Health Management Section Format Day Begin End Building

### DSCI 3710 Syllabus: Spring 2015

DSCI 3710 Syllabus: Spring 2015 CLASS (DAY/TIME): 090 Thursday 1:00 3:50 pm in Room 101, Founders Hall (Dal #2) 091 Monday 7:00 9:50 pm in Room 243, Founders Hall (Dal #2) INSTRUCTOR: Daniel D. Friesen

### Brown University Department of Economics Spring 2015 ECON 1620-S01 Introduction to Econometrics Course Syllabus

Brown University Department of Economics Spring 2015 ECON 1620-S01 Introduction to Econometrics Course Syllabus Course Instructor: Dimitra Politi Office hour: Mondays 1-2pm (and by appointment) Office

### MATH 140 HYBRID INTRODUCTORY STATISTICS COURSE SYLLABUS

MATH 140 HYBRID INTRODUCTORY STATISTICS COURSE SYLLABUS Instructor: Mark Schilling Email: mark.schilling@csun.edu (Note: If your CSUN email address is not one you use regularly, be sure to set up automatic

### Truman College-Mathematics Department Math 125-CD: Introductory Statistics Course Syllabus Fall 2012

Instructor: Dr. Abdallah Shuaibi Office #: 3816 Email: ashuaibi1@ccc.edu URL: http://faculty.ccc.edu/ashuaibi/ Phone #: (773)907-4085 Office Hours: Truman College-Mathematics Department Math 125-CD: Introductory

Basic Business Statistics Dr. Daniel Murgo QMB 2100 Basic Business Statistics - Summer B 2016 Section 1 (Reference 905538) Meeting Times Class lectures will take place on Tuesdays and Thursdays from 1:40PM

### 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

### F l o r i d a G u l f C o a s t U n i v e r s i t y S t a t i s t i c a l M e t h o d s F a l l 2 0 1 2 - C R N 8 1 1 2 6

F l o r i d a G u l f C o a s t U n i v e r s i t y S t a t i s t i c a l M e t h o d s F a l l 2 0 1 2 - C R N 8 1 1 2 6 Instructor: Larry L. Southard, M.A. Email: lsouthar@fgcu.edu Telephone: (239) 590-7420

### Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus

Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus Credit Hours: 3 Credits Academic Term: Term 4: 23 March 2015 24 May 2015 Meetings: Thurs 18:00-22:00 26 Mar;

### Math 103, College Algebra Spring 2016 Syllabus MWF Day Classes MWTh Day Classes

SECTION #: Lecture Time: Lecture Location: Lecture Instructor: Office Hours: Office Location: Phone: E-mail: Recitation Location: Recitation Instructor: Office Hours: Office Location: Phone: E-mail: Class

### Course Syllabus STA301 Statistics for Economics and Business (6 ECTS credits)

Course Syllabus STA301 Statistics for Economics and Business (6 ECTS credits) Instructor: Luc Hens Telephone: +32 2 629 11 92 e-mail: luc.hens@vub.ac.be Web site: http://homepages.vub.ac.be/~lmahens/ Course

### BIO 226: APPLIED LONGITUDINAL ANALYSIS COURSE SYLLABUS. Spring 2015

BIO 226: APPLIED LONGITUDINAL ANALYSIS COURSE SYLLABUS Spring 2015 Instructor: Teaching Assistants: Dr. Brent Coull HSPH Building II, Room 413 Phone: (617) 432-2376 E-mail: bcoull@hsph.harvard.edu Office

### Econometrics and Data Analysis I

Econometrics and Data Analysis I Yale University ECON S131 (ONLINE) Summer Session A, 2014 June 2 July 4 Instructor: Doug McKee (douglas.mckee@yale.edu) Teaching Fellow: Yu Liu (dav.yu.liu@yale.edu) Classroom:

### Introduction: How does a student get started? How much time does this course require per week?

College Algebra Online (MATH 1111WEB) Spring 2016 Instructor: Mrs. Deltrye Eagle Holt Email: dholt@gru.edu Office: Allgood Hall N32 Phone: 706-667-4484 Skype: Prof.Holt1 Face-to-Face Office Hours Monday,

### 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-

### Online Course Syllabus Page 1

Page 1 STATS 8: Introduction to Biological Statistics Summer Session Class Meeting Information This course meets online for 5 weeks of instruction during Summer Session. Instructor Information Instructor:

### Online Course Syllabus Page 1

Page 1 STATS 8: Introduction to Biological Statistics Summer Session II 2011 Class Meeting Information This course meets online from August 1 to September 7. Instructor Information Instructor: Name: Dr.

### BIOINF 525 Winter 2016 Foundations of Bioinformatics and Systems Biology http://tinyurl.com/bioinf525-w16

Course Director: Dr. Barry Grant (DCM&B, bjgrant@med.umich.edu) Description: This is a three module course covering (1) Foundations of Bioinformatics, (2) Statistics in Bioinformatics, and (3) Systems

### BASIC COURSE IN STATISTICS FOR MEDICAL DOCTORS, SCIENTISTS & OTHER RESEARCH INVESTIGATORS INFORMATION BROCHURE

INDIAN COUNCIL OF MEDICAL RESEARCH BASIC COURSE IN STATISTICS FOR MEDICAL DOCTORS, SCIENTISTS & OTHER RESEARCH INVESTIGATORS October 13 th 17 th 2014 INFORMATION BROCHURE COURSE OFFERED BY Division of

### RARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS

RARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS I. Basic Course Information A. Course Number and Title: MATH 111H Statistics II Honors B. New or Modified Course:

### FINC 6532-ADVANCED FINANCIAL MANAGEMENT Expanded Course Outline Spring 2007, Monday & Wednesday, 5:30-6:45 p.m.

FINC 6532-ADVANCED FINANCIAL MANAGEMENT Expanded Course Outline Spring 2007, Monday & Wednesday, 5:30-6:45 p.m. Instructor: Dr. Charles Hodges Office Hours: M, W 10:00 11:30, Office: RCOB - Room 18 M.W

### Sociology 328A: Social Statistics (3.0 Credits) Department of Sociology, University of British Columbia Winter Term I, Sep 03 Nov 28, 2013

Sociology 328A: Social Statistics (3.0 Credits) Department of Sociology, University of British Columbia Winter Term I, Sep 03 Nov 28, 2013 Location: Wesbrook 201 Instructor: Andrew C. Patterson Office

### Los Angeles Pierce College. SYLLABUS Math 227: Elementary Statistics. Fall 2011 T Th 4:45 6:50 pm Section #3307 Room: MATH 1400

Los Angeles Pierce College SYLLABUS Math 227: Elementary Statistics Fall 2011 T Th 4:45 6:50 pm Section #3307 Room: MATH 1400 Instructor: Pauline Pham Office hours: T Th: 4:00 4:35 PM, Room Math 1409X

### MTH 110: Elementary Statistics (Online Course) Course Syllabus Fall 2012 Chatham University

MTH 110: Elementary Statistics (Online Course) Course Syllabus Fall 2012 Chatham University Meeting Times: Online course Instructor: Mr. John Wenskovitch Email: jwenskovitch@chatham.edu Office: Buhl 218

### Name of the module: Multivariate biostatistics and SPSS Number of module: 471-8-4081

Name of the module: Multivariate biostatistics and SPSS Number of module: 471-8-4081 BGU Credits: 1.5 ECTS credits: Academic year: 4 th Semester: 15 days during fall semester Hours of instruction: 8:00-17:00

! BUAD 310 Applied Business Statistics Syllabus Fall 2013 Instructor: Gourab Mukherjee TA: Pallavi Basu Office: HOH 14 Office Hours: Tuesday and Wednesday 10AM-12 PM (location TBA) Office Hours: Tuesday

Module 223 Major A: Concepts, methods and design in Epidemiology Module : 223 UE coordinator Concepts, methods and design in Epidemiology Dates December 15 th to 19 th, 2014 Credits/ECTS UE description

### Decision Sciences 101 - Data Analysis for Managers

Spring 2013 CALIFORNIA STATE UNIVERSITY, SACRAMENTO School of Business Administration Decision Sciences 101 - Data Analysis for Managers COURSE OUTLINE INSTRUCTOR: Dr. Stanley A. Taylor OFFICE: TAH -2096

### 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

### Categorical Data Analysis

Categorical Data Analysis Lecturer: FENG Zhenghui ( 冯 峥 晖 ) Office Hours: Saturday 10:00am-12:00am Office: B405 Economic Building Email:zhfengwise@gmail.com Course Description This course deals with statistical

### Math 103, College Algebra Fall 2015 Syllabus TTh PM Classes

SECTION #: Lecture Time: Lecture Location: Lecture Instructor: Office Hours: Office Location: Phone: E-mail: Class Materials: Graphing Calculator: A graphing calculator is required for this course and

### 67 204 Mathematics for Business Analysis I Fall 2007

67 204 Mathematics for Business Analysis I Fall 2007 Instructor Asõkā Rāmanāyake Office: Swart 223 Office Hours: Monday 12:40 1:40 Wednesday 8:00 9:00 Thursday 9:10 11:20 If you cannot make my office hours,

### Register for CONNECT using the code with your book and this course access information:

Business Statistics Fall 2014 Dr. Osyk 6500:304-004 T TH 3:15 4:30 pm CBA 144 Instructor: Dr. Barbara A. Osyk bao@uakron.edu OFFICE: CBA 368 330-972-5439 OFFICE HOURS: T TH 8:30 9:00 am, 1:30 3 pm (And

### RMTD 404 Introduction to Linear Models

RMTD 404 Introduction to Linear Models Instructor: Ken A., Assistant Professor E-mail: kfujimoto@luc.edu Phone: (312) 915-6852 Office: Lewis Towers, Room 1037 Office hour: By appointment Course Content

### School of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2

CCBC Essex School of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2 CLASSROOM LOCATION: SEMESTER: Fall 2009 INSTRUCTOR: DONNA TUPPER OFFICE LOCATION: F-413 (or

### 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

### Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108

Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108 Department of Urban Studies Email: w.weizer @csuohio.edu Instructor: Winifred Weizer

### Geography 676 Web Spatial Database Development and Programming

Geography 676 Web Spatial Database Development and Programming Instructor: Prof. Qunying Huang Office: 426 Science Hall Tel: 608-890-4946 E-mail: qhuang46@wisc.edu Office Hours: T, R, and F 1:00-2:00 PM

### Office Hours: Mondays [12-1] & [3-4], Tuesdays [12-1], Wednesdays [12-1] & [3-4]. Or by appointment by email/phone.

Instructor Information: Dr. Carl Blue [cn-blue@wiu.edu] Office phone: 309-298-2488 Cell 919-815-7930 Western Illinois University College of Business & Technology Engineering Technology Department Knoblauch

### Executive Master of Public Administration. QUANTITATIVE TECHNIQUES I For Policy Making and Administration U6310, Sec. 03

INSTRUCTORS: PROFESSOR: Stuart E. Ward TEACHING ASSISTANT: Hamid Rashid E-Mail: sew9@columbia.edu hr99@columbia.edu Office Phone# 212.854.5941 (o) To Be Announced Office Room# 407A To Be Announced MEETING

### I. PREREQUISITES For information regarding prerequisites for this course, please refer to the Academic Course Catalog.

Note: Course content may be changed, term to term, without notice. The information below is provided as a guide for course selection and is not binding in any form, and should not be used to purchase course

### Advanced Statistics & Data Analysis

Advanced Statistics & Data Analysis Instructor: Matthew, Ph.D. Office: Kinard 120 Email: hayesm@winthrop.edu (the best way to reach me) Office Phone: 803-323-2628 Office Hours: Office Hours: T 3:00-4:45;

### MAT 282 STATISTICS 3 cr. (3-0) (online sections)

JOHN A. LOGAN COLLEGE J. Dethrow SM 11 MAT 282 STATISTICS 3 cr. (3-0) (online sections) COURSE DESCRIPTION: MAT 282 is designed to meet the needs of students requiring a statistics course with a college

### PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050

PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050 Class Hours: 2.0 Credit Hours: 3.0 Laboratory Hours: 2.0 Date Revised: Fall 2013 Catalog Course Description: Descriptive

### CSC 314: Operating Systems Spring 2005

CSC 314: Operating Systems Spring 2005 Instructor: Lori Carter lcarter@ptloma.edu (619) 849-2352 Office hours: MWF TTh 11:00 a.m. 12:00 p.m. 1:15 2:15 p.m 10:00-11:30 a.m. Texts: Silbershatz et.al, Operating

### training programme in pharmaceutical medicine Clinical Data Management and Analysis

training programme in pharmaceutical medicine Clinical Data Management and Analysis 19-21 may 2011 Clinical Data Management and Analysis 19 21 MAY 2011 LocaL: University of Aveiro, Campus Universitário

### QMB 3302 - Business Analytics CRN 80700 - Fall 2015 T & R 9.30 to 10.45 AM -- Lutgert Hall 2209

QMB 3302 - Business Analytics CRN 80700 - Fall 2015 T & R 9.30 to 10.45 AM -- Lutgert Hall 2209 Elias T. Kirche, Ph.D. Associate Professor Department of Information Systems and Operations Management Lutgert

### Psychology 202 - Mind and Society Mondays & Wednesdays, 2:00 3:50 pm, 129 McKenzie Hall Fall 2013 (CRN # 16067)

Psychology 202 - Mind and Society Mondays & Wednesdays, 2:00 3:50 pm, 129 McKenzie Hall Fall 2013 (CRN # 16067) Instructor: Dr. Jordan Pennefather Rm. 412 Knight Library, pennefat@uoregon.edu Office Hours:

### COURSE SYLLABUS. Office Hours: MWF 08:30am-09:55am or by appointment, DAV 238

USF, St. Petersburg MAC 1105 College Algebra (ref #20214 ) COURSE SYLLABUS Term: Spring 2011 Section: 602 Department: MTH College: AP Credit hours: 3 Instructor: Olena Maymeskul Email: olenam@mail.usf.edu

### STA2023 Introduction to Statistics Summer 2011

STA2023 Introduction to Statistics Summer 2011 Instructor: Jennifer Denson Class Website: http://www.hccfl.edu/faculty-info/jdenson3/sfc---statistics-1.aspx Class: Section Day/Time Location My Math Lab

### Psychology 2510: Survey of Abnormal Psychology (Section 2) Fall 2015

Psychology 2510: Survey of Abnormal Psychology (Section 2) Fall 2015 Instructor: Julianne Gray Ludlam, Ph.D. Class Location: Psychology Building 313 Class Time: MWF, 9:00-9:50 AM CST Office Location: 25

### SYLLABUS Honors College Algebra MAC 1105H / 3 credit hours Fall 2014

SYLLABUS Honors College Algebra MAC 1105H / 3 credit hours Fall 2014 Instructor: Alexander Ambrioso Office Location: BTEC 110 Phone: (813) 253-7917 (work) (813) 841-7072 (cell) Course Meeting Days and

### AMS 5 Statistics. Instructor: Bruno Mendes mendes@ams.ucsc.edu, Office 141 Baskin Engineering. July 11, 2008

AMS 5 Statistics Instructor: Bruno Mendes mendes@ams.ucsc.edu, Office 141 Baskin Engineering July 11, 2008 Course contents and objectives Our main goal is to help a student develop a feeling for experimental

### CHEM 112-03 PRINCIPLES OF CHEMISTRY Lecture

CHEM 112-03 PRINCIPLES OF CHEMISTRY Lecture Spring 2016 COURSE DESCRIPTION An introductory course in chemistry emphasizing theoretical aspects and designed primarily for students who intend to take one

### Johnson County Community College

Johnson County Community College Course Syllabus Mathematics Division Math 115: Elementary Algebra Section 450 (Self-Paced) Fall 2015 (CRN 80682) Instructor Information Primary Instructor: Mary Deas Campus

### CLASS SESSIONS Wednesdays, 8:30 AM -11:20 AM, HSL LL204

CLASS SESSIONS Wednesdays, 8:30 AM -11:20 AM, HSL LL204 Analytic Methods for Health Services Management P8529 INSTRUCTOR Nan Liu, Ph.D. 600 West 168 th Street, Room 603 nl2320@columbia.edu Office hour:

### MAC 2233, STA 2023, and junior standing

I. QMB 3600: Quantitative Methods in Business (3 credits) II. Prerequisite Courses & Standing: MAC 2233, STA 2023, and junior standing III. Course Logistics: Fall 2011, Section 002 CRN 82290 M W 12:30

### QMB 3302 Business Analytics CRN 10251 Spring 2015 T R -- 11:00am - 12:15pm -- Lutgert Hall 2209

QMB 3302 Business Analytics CRN 10251 Spring 2015 T R -- 11:00am - 12:15pm -- Lutgert Hall 2209 Elias T. Kirche, Ph.D. Associate Professor Department of Information Systems and Operations Management Lutgert

### Economic Statistics (ECON2006), Statistics and Research Design in Psychology (PSYC2010), Survey Design and Analysis (SOCI2007)

COURSE DESCRIPTION Title Code Level Semester Credits 3 Prerequisites Post requisites Introduction to Statistics ECON1005 (EC160) I I None Economic Statistics (ECON2006), Statistics and Research Design

### SPPH 501 Analysis of Longitudinal & Correlated Data September, 2012

SPPH 501 Analysis of Longitudinal & Correlated Data September, 2012 TIME & PLACE: Term 1, Tuesday, 1:30-4:30 P.M. LOCATION: INSTRUCTOR: OFFICE: SPPH, Room B104 Dr. Ying MacNab SPPH, Room 134B TELEPHONE:

### STA569 Applied (Nursing) Statistical Methods Instructor/ Facilitator:

STA569 Applied (Nursing) Statistical Methods Instructor/ Facilitator: Mark A. Gebert Mark.Gebert@uky.edu* MDS 347 (Lexington campus address) Secondary Instructor: Pamela Lancaster Pamela.Lancaster@uky.edu

### Data Analysis, Research Study Design and the IRB

Minding the p-values p and Quartiles: Data Analysis, Research Study Design and the IRB Don Allensworth-Davies, MSc Research Manager, Data Coordinating Center Boston University School of Public Health IRB

### Managerial Accounting

Professor Hao Xue NYU Stern School, KMC 10-89 hxue@stern.nyu.edu 212-998-0195 Managerial Accounting ACCT-UB.0004 Spring 2015 Syllabus Course Overview and Objectives This course explores the use of accounting

### COURSE SYLLABUS ACCT 212 PRINCIPLES OF ACCOUNTING II

Note: Course content may be changed, term to term, without notice. The information below is provided as a guide for course selection and is not binding in any form, and should not be used to purchase course

### Finite Mathematics I / T Section / Course Syllabus / Spring 2016. Math 1324-T10 Mon/Wed/Fri 10:00 am 11:50 am MCS 215

Math 1324-T10 Mon/Wed/Fri 10:00 am 11:50 am MCS 215 Instructor: Nancy S. B. Kloboučník (klō bōch nik) Phone: (325) 486-5436 Dept. Fax: (325) 942-2503 Email: Nancy.Kloboucnik@angelo.edu Routinely check

### BIOS 6660: Analysis of Biomedical Big Data Using R and Bioconductor, Fall 2015 Computer Lab: Education 2 North Room 2201DE (TTh 10:30 to 11:50 am)

BIOS 6660: Analysis of Biomedical Big Data Using R and Bioconductor, Fall 2015 Computer Lab: Education 2 North Room 2201DE (TTh 10:30 to 11:50 am) Course Instructor: Dr. Tzu L. Phang, Assistant Professor

### Psychology 420 (Sections 101 and 102) Experimental Psychology: Social Psychology Laboratory

Instructor: Edward Lemay, PhD. email: elemay@umd.edu office: BPS 3147B office hours: by appointment Teaching Assistants: Psychology 420 (Sections 101 and 102) Experimental Psychology: Social Psychology

### THE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS. Fall 2013

THE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING 1 COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS Fall 2013 & Danice B. Greer, Ph.D., RN, BC dgreer@uttyler.edu Office BRB 1115 (903) 565-5766

### CST 244 Computer Forensics and Investigation Spring, 2010

CST 244 Computer Forensics and Investigation Spring, 2010 Instructor: Guy Theriault Class Room: 221 Office: Rm 221 Class Hours: Mon thru Fri 8:00 to 10:50 Class Dates: Mar 8 to Apr 16 Office hours: Monday,

### ECON 523 Applied Econometrics I /Masters Level American University, Spring 2008. Description of the course

ECON 523 Applied Econometrics I /Masters Level American University, Spring 2008 Instructor: Maria Heracleous Lectures: M 8:10-10:40 p.m. WARD 202 Office: 221 Roper Phone: 202-885-3758 Office Hours: M W

### Finance 471: DERIVATIVE SECURITIES Fall 2015 Prof. Liang Ma University of South Carolina, Moore School of Business

Finance 471: DERIVATIVE SECURITIES Fall 2015 Prof. Liang Ma University of South Carolina, Moore School of Business General information Class meetings Lecture 1: TR 8:30-9:45 pm, DMSB 120 Lecture 2: TR

### AGEC 448 AGEC 601 AGRICULTURAL COMMODITY FUTURES COMMODITY FUTURES & OPTIONS MARKETS SYLLABUS SPRING 2014 SCHEDULE

AGEC 448 AGRICULTURAL COMMODITY FUTURES AGEC 601 COMMODITY FUTURES & OPTIONS MARKETS SYLLABUS SPRING 2014 SCHEDULE Time: TR, 2:20pm 3:35pm (stacked sections) Location: Heep Center, Rm.103 INSTRUCTOR Dr.

### QMB 3302 - Business Analytics CRN 82361 - Fall 2015 W 6:30-9:15 PM -- Lutgert Hall 2209

QMB 3302 - Business Analytics CRN 82361 - Fall 2015 W 6:30-9:15 PM -- Lutgert Hall 2209 Rajesh Srivastava, Ph.D. Professor and Chair, Department of Information Systems and Operations Management Lutgert

### COMM 3160 COMMUNICATION RESEARCH METHODS -- SP 2016

Instructors Dr. Silvia Knobloch-Westerwick 3020 Derby Hall, Tel.: 247-6801 E-mail: knobloch-westerwick.1@osu.edu Office hours: Fr 9:00am-10:00am, and by appointment Lorraine Borghetti 3045F Derby Hall,

### BI122 Introduction to Human Genetics, Fall 2014

BI122 Introduction to Human Genetics, Fall 2014 Course Overview We will explore 1) the genetic and molecular basis of heredity and inherited traits, 2) how genetics & genomics reveals an understanding

### Class Participation and Homework:

Goizueta Business School Business 210 - Financial Accounting Plan and Policies - Spring 2014 Instructor: Susan Crosson Office: GBS 462 Email: Susan.Crosson@emory.edu Website: http://bus.emory.edu/scrosso/

### MASTER COURSE SYLLABUS-PROTOTYPE PSYCHOLOGY 2317 STATISTICAL METHODS FOR THE BEHAVIORAL SCIENCES

MASTER COURSE SYLLABUS-PROTOTYPE THE PSYCHOLOGY DEPARTMENT VALUES ACADEMIC FREEDOM AND THUS OFFERS THIS MASTER SYLLABUS-PROTOTYPE ONLY AS A GUIDE. THE INSTRUCTORS ARE FREE TO ADAPT THEIR COURSE SYLLABI

### Syllabus. May 16, Wednesday, 10:30 AM 12:30 PM

Syllabus Physics 270 0301, 0304 & 0306 Spring 2007 Prof. H. H. Chen Lectures: Sections 0301 TuTh 2:00 3:15PMin Physics Rm 1412. Sections 0304 TuTh 2:00 3:15PMin Physics Rm 1412. Sections 0306 TuTh 2:00

### University of Missouri Department of Psychological Sciences Psychology 1000-04 General Psychology Fall 2015

1 University of Missouri Department of Psychological Sciences Psychology 1000-04 General Psychology Fall 2015 The instructor reserves the right to amend this document at any time. If this document is amended

### Statistics in Medicine Research Lecture Series CSMC Fall 2014

Catherine Bresee, MS Senior Biostatistician Biostatistics & Bioinformatics Research Institute Statistics in Medicine Research Lecture Series CSMC Fall 2014 Overview Review concept of statistical power

### AP Statistics: Syllabus 1

AP Statistics: Syllabus 1 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.

### 3818 - Introduction to Statistics (Online) Syllabus/Course Information

3818 - Introduction to Statistics (Online) Syllabus/Course Information Course Description Econ 3818 is a first course in probability and statistical methods, with an introduction to econometrics. This

### ECO 250 Economics and Business Statistics I Fall 2009 Online Course

Instructor: Email: ECO 250 Economics and Business Statistics I Fall 2009 Online Course Dr. Michelle Sheran You should direct your questions to my graduate assistant, Matt Rabbit. Matt is the primary contact

### Elementary Statistics Online ( MATH 2210 WE4 ) Summer 2015

Elementary Statistics Online ( MATH 2210 WE4 ) Summer 2015 Instructor: Dr. Dharma S. Thiruvaiyaru Please call me Dr. Dharma. Office: Office Hours: Allgood Hall, Room E351 Monday to Thursday from 2:30 p.m.

### Course Agenda. First Day. 4 th February - Monday 14.30-19.00. 14:30-15.30 Students Registration Polo Didattico Laterino

Course Agenda First Day 4 th February - Monday 14.30-19.00 14:30-15.30 Students Registration Main Entrance Registration Desk 15.30-17.00 Opening Works Teacher presentation Brief Students presentation Course

### Business Statistics MATH 222. Eagle Vision Home. Course Syllabus

Business Statistics MATH 222 EagleVision Home Course Syllabus Credit Hours: 3 Credits Academic Term: March 2012 [March 19, 2012 May 20, 2012] Meetings: Location: Instructor: Office Hours: Monday/Wednesday,

### Moraine Valley Community College Course Syllabus

Moraine Valley Community College Course Syllabus Course Title: Business Statistics Course Number: MTH 212 Semester: Fall 2006 I Faculty Information A. Instructor: Kevin M. Riordan, M.A. B. Office Hours:

### LOGOM 3300: Business Statistics Fall 2015

LOGOM 3300: Business Statistics Fall 2015 The science of statistics is the chief instrumentality through which the progress of civilization is now measured and by which its development hereafter will be

### COURSE SYLLABUS Fall 2009: GNRS 713: Advanced Statistical Analysis 4 Units Thursday 5:00pm 9:00pm Nursing Computer Lab

1 COURSE SYLLABUS Fall 2009: GNRS 713: Advanced Statistical Analysis 4 Units Thursday 5:00pm 9:00pm Nursing Computer Lab FACULTY: Carl Renold, Ph.D., Adjunct Professor. Contact information: (626) 815-6000

### Life Cycle Product Management EGR 590-602 Special Topics in Engineering. Course Overview

Life Cycle Product Management EGR 590-602 Special Topics in Engineering Course Overview This course covers the management of complex technical products during all phases of the product life cycle. It is

### Why Taking This Course? Course Introduction, Descriptive Statistics and Data Visualization. Learning Goals. GENOME 560, Spring 2012

Why Taking This Course? Course Introduction, Descriptive Statistics and Data Visualization GENOME 560, Spring 2012 Data are interesting because they help us understand the world Genomics: Massive Amounts

### INTRODUCTION to PSYCHOLOGY INTRODUCTORY STATISTICS A Presidential Scholars Interdisciplinary Seminar

INTRODUCTION to PSYCHOLOGY INTRODUCTORY STATISTICS A Presidential Scholars Interdisciplinary Seminar & PSYC 2301.22 - MATH 1342.22 Course Syllabus Dr. Shirley Clay, Professor of Psychology Dr. Paula A.

### Resource Economics 212: Introductory Statistics for the Social Sciences Spring 2014

Resource Economics 212: Introductory Statistics for the Social Sciences Spring 2014 Instructor: Lecture Hours: Office Hours: Office Location: Dr. Emily Yucai Wang MW: 4:40pm 5:55pm Tuesdays: 9:00am 11:00am

### BIOE 447 DIGITAL DESIGN AND VISUALIZATION Syllabus Spring 2014

BIOE 447 DIGITAL DESIGN AND VISUALIZATION Syllabus Spring 2014 INSTRUCTOR Dr. Matthew Wettergreen OEDK B03 713-348-2043 mwettergreen@rice.edu office hours: By appointment COURSE ADMINISTRATION Course Objectives