Syllabus: Math 155 Fall 2014 - Revision history

Carver at 22:57, 8 September 2014

2014-09-08T22:57:15Z

Carver at 19:48, 24 August 2014

2014-08-24T19:48:52Z

Carver at 05:29, 12 August 2014

2014-08-12T05:29:48Z

Carver at 05:14, 12 August 2014

2014-08-12T05:14:46Z

Carver: Created page with " '''Elementary Mathematical Models (Math 155) Section 001''' '''Instructor:''' Sean Carver, Ph.D., Professorial Lecturer, American University. '''Co..."

2014-08-12T05:08:55Z

Created page with "<big> '''Elementary Mathematical Models (Math 155) Section 001''' </big> '''Instructor:''' <big> Sean Carver, Ph.D., </big> Professorial Lecturer, American University. '''Co..."

New page

<big> '''Elementary Mathematical Models (Math 155) Section 001''' </big>

'''Instructor:''' <big> Sean Carver, Ph.D., </big> Professorial Lecturer, American University.

'''Contact:'''

* office location: 107 Gray Hall
* email: carver@american.edu
* office phone: 202-885-6629

'''Office Hours:''' 107 Gray Hall. Tentatively scheduled as follows: (may be adjusted throughout the semester)

* 5:30 - 7:00 pm Monday
* 5:30 - 7:00 pm Tuesday
* 5:30 - 7:00 pm Wednesday
* 5:30 - 7:00 pm Thursday.

'''Tutoring through MATH/STAT tutoring center:''' Gray Hall, Room 110
As of August 11, the tutoring center hadn't yet posted their hours. I will update this page when they do. Last year the tutoring center was open:
* Sunday, 3:00 p.m. to 8:00 p.m.
* Monday - Thursday, 11:00 a.m. to 8:00 p.m.
* Friday, 11:00 a.m. to 3:00 p.m.

'''Class times and locations:'''
* Monday: 11:45PM - 01:00PM, WARD BUILDING, Room 304
* Thursday: 11:45PM - 01:00PM, WARD BUILDING, Room 304

'''Important Dates:'''
* September 1 (Monday): Labor Day, No Class
* September 25 (Thursday): EXAM 1, during class, in our classroom
* October 30 (Thursday): EXAM 2, during class, in our classroom
* November 26-30 (Wednesday-Sunday): Thanksgiving, No Class
* December 8 (Monday), 11:45AM - 2:15PM FINAL EXAM In our classroom.

'''Text:''' David Moore, George McCabe, and Bruce A. Craig, ''Introduction to the Practice of Statistics'' (Seventh Edition), W. H. Freeman and Company.

'''Course Description (from department website):''' Data presentation, display, and summary, averages, dispersion, simple linear regression, and correlation, probability, sampling distributions, confidence intervals, and tests of significance. Use of statistical software both to analyze real data and to demonstrate and explore concepts. Four credit hours.

'''Prerequisite:''' MATH-15x or higher, or permission of department. No prior knowledge of statistics is assumed.

'''Learning Outcomes:''' [Credit Emmanuel Addo, Spring 2013]. By the end of the course, the student should be able to:

* Use and understand common statistical terminology.
* Understand data collection methods including designed experiments and sampling methods.
* Know when to use stemplot, histograms, pie charts, bar charts, and box plots to describe a given distribution.
* Calculate and interpret the measures of center and spread.
* Understand the concepts of correlation and linear regression.
* Understand the concepts of randomness and probability.
* Understand and interpret probability distributions such as the normal, student's t- and chi-square distributions.
* State the central limit theorem and understand the concept of a sampling distribution.
* Calculate confidence intervals for means and proportions--one sample.
* Use sampling techniques to test hypotheses for means and proportions--one and two samples, contingency table, and goodness-of-fit.

'''Tentative grading scheme:'''

{| border="1" cellspacing="0" cellpadding="4"
!width="250" |ITEM
!width="50"|PERCENT
|-
| Attendance and Participation
| 10%
|-
| Homework
| 15%
|-
| Exam 1
| 25%
|-
| Exam 2
| 25%
|-
| Final
| 25%
|}

'''Homework Policy:''' Will be discussed in class.

'''Academic Integrity:''' To the extent that grades are based on a curve, cheating to get a better grade on an assignment or exam can result in ''lowering'' the grades of some of your classmates. ''This is not acceptable and cheating and plagiarism will not be tolerated.'' As required by American University, I will report '''all''' suspected cases of cheating and plagiarism to the Dean's office who will proceed to investigate and adjudicate the issues.

What is considered cheating?

* Cheating is copying work from another source without giving attribution.
* Cheating is copying problem(s) from a classmate.
* It is OK (and, in fact, it is encouraged) to work with other students on homework as long as you write up the solutions yourself and your solutions reflect your own understanding of the problems.
* When inappropriate copying between students is caught, both parties are culpable.
* When in doubt, if you are not sure if help you have given or received is appropriate, disclose what you have done. You may not get full credit for the problem but you won't be charged for academic misconduct.

@@ Line 39: / Line 39: @@
 '''Prerequisite:''' three years of high school mathematics or equivalent.
-'''Learning Outcomes:'''  [Credit Emmanuel Addo, Spring 2013].  By the end of the course, the student should be able to:
+'''Learning Outcomes:'''  [Credit: Chris Mitchell 2013].
-* Use and understand common statistical terminology.
+What I hope students will take away from the course of most value to them is greater confidence vis-a-vis mathematics.
 '''Tentative grading scheme:'''

@@ Line 16: / Line 16: @@
 * 5:30 - 7:00 pm Thursday.
-'''Tutoring through MATH/STAT tutoring center:'''  Gray Hall, Room 110
+'''Tutoring through MATH/STAT tutoring center:'''  Gray Hall, Room 110.  Hours:
 * Sunday, 3:00 p.m. to 8:00 p.m.
 * Monday - Thursday, 11:00 a.m. to 8:00 p.m.

@@ Line 50: / Line 50: @@
 !width="50"|PERCENT
 |-
-| Attendance and Participation
+| Attendance
 | 10%
 |-
 | Homework
-| 15%
+| 10%
 |-
 | Exam 1

@@ Line 33: / Line 33: @@
 * December 8 (Monday), 11:45AM - 2:15PM FINAL EXAM In our classroom.
-'''Text:''' David Moore, George McCabe, and Bruce A. Craig, ''Introduction to the Practice of Statistics'' (Seventh Edition), W. H. Freeman and Company.
+'''Text:''' Dan Kalman.  Elementary Mathematical Models: Order Aplenty and a Glimpse of Chaos.
-'''Course Description (from department website):'''  Data presentation, display, and summary, averages, dispersion, simple linear regression, and correlation, probability, sampling distributions, confidence intervals, and tests of significance. Use of statistical software both to analyze real data and to demonstrate and explore concepts.  Four credit hours.
+'''Course Description (from department website):'''  Study of mathematical subjects including linear, quadratic, polynomial, rational, exponential, and logarithmic functions, in the context of difference equations models. Emphasizes concepts and applications using numerical, graphical, and theoretical methods. Also includes an introduction to the mathematical subject of chaos.
-'''Prerequisite:''' MATH-15x or higher, or permission of department.  No prior knowledge of statistics is assumed.
+'''Prerequisite:''' three years of high school mathematics or equivalent.
 '''Learning Outcomes:'''  [Credit Emmanuel Addo, Spring 2013].  By the end of the course, the student should be able to: