Download Online Course Syllabus Template

MMAT 3315.01R: Probability and Statistics
Syllabus
INSTRUCTOR INFORMATION
Instructor: Andres Padilla Oviedo
Office: MAGC 3.204
Office Hours: Monday and Wednesday from 1:00 pm-3:05 pm and Tuesday from
2:05pm-3:55pm
Do not hesitate to send me an email if we need to talk so we can agree on a convenient
time for a phone call, Connect session, or a meeting.
Office Telephone: (956) 665-7087
E-mail: [email protected]
Generally I will respond to emails within two business days of receiving them. If I plan to be away
from my computer for more than a couple of days, I will let you know in advance.
COURSE DESCRIPTION
This course is intended to provide students with an elementary overview of the mathematical
nature and uses of descriptive statistics, probability, and inferential statistics. Topics include the
definitions and fundamental theorems concerning measures of central tendency and dispersion,
empirical and theoretical concepts of probability, the central limit theorem, tests of hypotheses,
interval estimation and correlation. Calculator will be emphasized throughout the course.
Prerequisite
Prerequisite: EMAT 2307 with a grade of "C" or better. Prerequisites will be strictly enforced.
Students lacking prerequisites will be dropped from the course.
TEXTBOOK & COURSE MATERIALS
Required:
The Open Learning Initiative at Carnegie Mellon University (OLI-CMU) has years of experience
helping adult students to understand elementary concepts of statistics. Their material incorporates
the TI-Calculators, R and Excel software package, which we will use extensively. OLI-CMU
The OLI-CMU material will be our textbook. Access your course at: https://oli.cmu.edu/ . You
will need the course key listed below. The OLI-CMU registration is available on January, 19
2015.
MMAT 3315-01 Probability and Statistics
Course Key: Spring2015
Institution: University of Texas-Pan American
Duration: 01/19/2015 - 05/15/2015
Price per student: $25.00 USD
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University of Texas-Pan American
MMAT-3315.01R Probability and Statistics
Spring 2015 Syllabus
Students will be required to pay Carnegie Mellon University $25.00 USD for the course
before they can access the materials. Visa and MasterCard credit and debit cards are accepted.
Students' secure payment will be processed by Carnegie Mellon University.
The creators, Candace Thille and her colleagues, of OLI have spent years studying how
adult students learn online. They promise a response to technical difficulties within 24 hours.
Content questions must be addressed to me but CMU will solve any OLI technical problems. You
can learn more about OLI and Professor Thille at http://oli.cmu.edu/get-to-know-oli/learn-moreabout-oli/leadership-and-staff/candace-thille/
OLI divides the course into fourteen modules. Those modules are the foundation and guide posts
for what we will do. OLI is your main textbook. It provides:
(1) Instruction
(2) Practice
(3) Feedback and self-assessment
(4) Summative Assessment
OLI uses a concept called \cognitive tutor" which gives you loads of support designed to
assure your fluency in the ideas and tools. The OLI team has studied many students as they have
used the materials. Based on those observations, the instruction has been restructured and
improved. You are the beneficiaries of this work. Others will benefit from what we learn as you
work your way through the material. Within OLI, feedback supports what you are learning. The
“Did you get this" activities gives you a chance to evaluate yourself before you complete
activities that will assess your understanding and count to the grade. An introductory module
discusses learning styles, meta-cognition, and strategies for interacting with OLI.
Recommended Texts & Other Readings


Supplemental text: Online Statistics Education: A Multimedia Course of Study
(http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University
http://www.centerofmath.org It is free, not required.
Supplemental text: OpenIntro: Statistics, David M Diez, Christopher D Barr, Mine etinkayaRundel is a free download from http://www.openintro.org/stat/ or can be purchased in hard
copy for less than 10 dollars.
COURSE OBJECTIVES
Student Learning Outcomes:
 To be able to verbally, numerically, graphically and symbolically describe the real
world problem, using statistical concepts, models, and terminologies.

To apply appropriate statistical methods to modeling and solving problems arising
from real world, and judge the reasonableness of the results.

To interpret statistical models and inferences, and use them to help decision making.

To recognize the limitations of statistical methods.

To develop the view that statistics is an evolving discipline, interrelated with human
culture, and understands its connections to other disciplines.

Student should have some basic knowledge in experimental design.
You will meet the objectives listed above through a combination of the following activities in this
course:
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MMAT-3315.01R Probability and Statistics
Spring 2015 Syllabus

Commit to spend 6-9 hours per week on this course.

Read Open Learning Initiative content

Complete OLI checkpoints at a level of 70% or better.

Complete the Project, at a level of 70% or better by completing all portions on time.

Complete a face to face Midterm Exam and Comprehensive Final Exam without the
use of notes, at a level of 70% or better.
TECHNICAL REQUIREMENTS
Computer Hardware
To participate in this online course, you should have easy access to a computer less than 5-years
old with high-speed internet connection via cable modem, LAN or DSL. To ensure you are using
a supported browser and have required plug-ins please refer to Supported Browsers, Plugins &
Operating Systems for Blackboard Learn from Blackboards resource page.
Student Technical Skills
You are expected to be proficient with installing and using basic computer applications and have
the ability to send and receive email attachments.
Software

Microsoft Office’s Internet Explorer (latest version)

Mozilla’s Firefox (latest version; Macintosh or Windows)

Adobe’s Flash Player & Reader plug-in (latest version).

Apple’s QuickTime plug-in (latest version). A free download is available at

Virus protection

Microsoft Office
Technical Assistance
If you need technical assistance at any time during the course or to report a problem with
Blackboard you can:

Visit the Blackboard Student Help Site

Submit a Blackboard Problem Form

In your course menu, select UTPA Resources and see COLTT Help Desk, they are UTPA’s
Blackboard Support.
If you need technical assistance at any time during the course or to report a problem with OLICMU you can:

Visit the OLI Help at https://oli.cmu.edu/jcourse/webui/help.do
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MMAT-3315.01R Probability and Statistics
Spring 2015 Syllabus
COURSE ORGANIZATION & ONLINE TOOLS
Course Structure:
This course will be delivered face to face and online, students are required to use the course
management system Blackboard Learn. You will use your UTPA account to login to the course
from the My UTPA site and under applications click on Blackboard Learn.
Assignments
OLI Checkpoints: OLI has 29 checkpoints and each produces a grade. Checkpoints are due each
Sunday at 11:59PM. On average you will be expected to complete more than 2 checkpoints a
week. The due dates for checkpoints are in the OLI syllabus which can be seen once you log-in to
OLI.
Module Facilitation: Students will be required present two modules if working individually and
three modules if working in pairs. In addition, students will facilitate a discussion or activity that
reinforces cooperative learning and active learning. The presentation will be during face-to-face
class time.
Project: The goal of these projects is to give you the opportunity to make your own connections
between statistics and education by considering a wide variety of problems ranging from
evaluating teaching strategies in mathematics to analyzing economic, social and political factors
that contribute to our education system. They will help you establish connections between
MMAT 3315 and your other courses, and they will allow you to make contributions in areas of
your interest and expertise. In addition, they will provide you with an opportunity to interact and
collaborate with your classmates.
Under my direction you are expected to analyze data (collected by the student or retrieved from
the internet) using appropriate statistical techniques and report and interpret the results. Time
permitting each group will be required to make a short presentation at the end of the semester.
Areas of further studies should be incorporated in the report. The double-spaced typewritten
paper, not exceeding ten (10pages) should include:
Title Page
Abstract
Section 1: Introduction including statement of the problem.
Section 2: Literature Review
Section 3: Methodology or Procedure
Section 4: Data Analysis; Results
Section 5: Summary; Conclusions; Recommendations; References.
Please refer to project materials to find more information on project guidelines, timeline, sample
and rubric.
Participation: Students are expected to participate and be on time during all class meetings.
However, it is impossible for a student who is absent to participate. Therefore, students who are
absent will receive the following grades: 1 class 7%, 2 classes 3% and 3 or more classes 0% out
of their final grade. Further, the instructor has the prerogative to drop any student who has 3 or
more absences during the semester. The Attendance Policy will be strictly enforced face-to-face
and online.
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MMAT-3315.01R Probability and Statistics
Spring 2015 Syllabus
TOPIC OUTLINE/SCHEDULE
Important Note: Activity and assignment details will be explained in detail within each module
corresponding weekly content area. If you have any questions, please contact your instructor.
Mode of delivery coding:
F2F-classroom, face to face
Online-takes place on Blackboard and https//oli.cmu.edu
Days of the week
T-Tuesday
R-Thursday
Week
Mode of
Delivery/Day
Assignments
Due
Assigned Readings
1
Review:
F2F/T

Syllabus

Review Module Objectives

Read Project information
Activity:

Create an account in OLI-CMU

Create group for the project and module
facilitation
Online/R

Week 1 11:59 PM
1/25/2015
Read UNIT 1: Explanatory Data
Analysis
2
F2F/T
Online/R
Module 1: Examining Distributions
Readings:
Read Unit 2 Producing Data, Module 3:
Sampling
Week 2 11:59 PM
2/1/2015
Assessment:
Module 1 Checkpoints 1 and 2
Project Section 1
Activities:
Module Forum Discussion: Students can ask
questions and get help from other classmates.
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Week 2 11:59 PM
2/1/2015
MMAT-3315.01R Probability and Statistics
Week
Mode of
Delivery/Day
Spring 2015 Syllabus
Assignments
Due
3
F2F/T
Module 2: Examining Relationships
Module 3: Sampling
Readings:
Online/R
Read Unit 2 Producing Data, Module 4:
Designing Studies and Unit 3 Module 5 and
Module 6
Week 3 11:59 PM
2/8/2015
Assessment:
Module 2 Checkpoints 1 and 2, and Module 3
Checkpoint 1
Week 3 11:59 PM
2/8/2015
Activities:
Module Forum Discussion: Students can ask
questions and get help from other classmates.
4
F2F/T
Unit 2: Producing Data
Module 4: Designing Studies
Unit 3: Probability
Module 5
Readings:
Online/R
Read Unit 3: Probability, Module 6: Finding
Probability of Events, and Module 7:
Conditional Probability of Events
Week 4 11:59 PM
2/15/2015
Read Project information
Assessment:
Module 4: Checkpoints 1 and 2, and Probability
Checkpoint 1
Project Section 2
Activities:
Module Forum Discussion: Students can ask
questions and get help from other classmates.
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Week 4 11:59 PM
2/15/2015
MMAT-3315.01R Probability and Statistics
Week
Mode of
Delivery/Day
Spring 2015 Syllabus
Assignments
Due
5
F2F/T
Unit 3: Probability
Module 6: Finding Probability of Events
Module 7 Conditional Probability and
Independence
Readings:
Read Unit 3: Probability
Online/R
Week 5 11:59 PM
2/22/2015
Module 8: Random Variables
Assessment:
Probability Checkpoint 2, Module 7 Checkpoint
1 and 2
Activities:
Week 5 11:59 PM
2/22/2015
Module Forum Discussion: Students can ask
questions and get help from other classmates.
6
F2F/T
Unit 3: Probability
Module 8: Random Variables
Online/R
Readings:
Read Unit 3 Probability, Module 9:
Sampling Distributions
Week 6 11:59 PM
3/1/2015
Assessment:
Module 8: Checkpoints 1, 2 and 3
Project Section 3
Week 6 11:59 PM
3/1/2015
Activities:
Module Forum Discussion: Students can ask
questions and get help from other classmates.
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F2F/T
Unit 3: Probability
Module 9: Sampling Distributions
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MMAT-3315.01R Probability and Statistics
Week
Mode of
Delivery/Day
Spring 2015 Syllabus
Assignments
Due
Readings:
Online/R
Read Unit 4 Inference, Module 10:
Introduction (Inference), Module 11:
Estimation and Module 12: Overview
Week 7 11:59 PM
3/8/2015
Assessment:
Module 8: Checkpoint 4, and Module 9
Checkpoints 1 and 2
Week 7 11:59 PM
3/8/2015
Activities:
Module Forum Discussion: Students can ask
questions and get help from other classmates.
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F2F/T
Unit 4: Inference
Module 10: Introduction
Module 11: Estimation
Module 12: Hypothesis Testing

Overview

Hypothesis Testing for the
Population Proportion
Readings:
Online/R
Read Unit 4 Inference, Module 12:
Hypothesis Testing for a Population Mean,
Hypothesis Testing, and Type I and Type II
Week 8 11:59 PM
3/15/2015
Assessment:
Estimation Checkpoint, Module 12: Overview
Checkpoint and Hypothesis Testing for a
Population Proportion Checkpoint
Project Section 4
Activities:
Module Forum Discussion: Students can ask
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Week 8 11:59 PM
3/15/2015
MMAT-3315.01R Probability and Statistics
Week
Mode of
Delivery/Day
Spring 2015 Syllabus
Assignments
Due
questions and get help from other classmates.
9
SPRING BREAK
Week 9 11:59 PM
3/22/2015
10
F2F/T
Unit 4: Inference
Module 12: Hypothesis Testing for a
Population Mean, Hypothesis Testing, and
Type I and Type II Checkpoint.
Online/R
Readings:
Read Unit 4: Inference
Module 13:

Two Independent Samples

Matched Pairs

ANOVA
Week 10 11:59 PM
3/29/2015
Assessment:
Module 12: Hypothesis Testing for a Population
Mean Checkpoint, Hypothesis Testing
Checkpoint, and Type I and Type II Checkpoint
Project Due
Activities:
Module Forum Discussion: Students can ask
questions and get help from other classmates.
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F2F/T
Unit 4: Inference
Module 13:

Two Independent Samples

Matched Pairs

ANOVA
Readings:
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Week 10 11:59 PM
3/29/2015
MMAT-3315.01R Probability and Statistics
Week
Mode of
Delivery/Day
Online/R
Spring 2015 Syllabus
Assignments
Read Unit 4 Inference, Module 13: Case
C→Q, and Module 14 Case C→C and Q→Q
Due
Week 11 11:59 PM
4/5/2015
Assessment:
Module 13: Two Independent Samples
Checkpoint, Matched Pairs Checkpoint and
ANOVA Checkpoint
Week 11 11:59 PM
4/5/2015
Activities:
Module Forum Discussion: Students can ask
questions and get help from other classmates.
12
F2F/T
Unit 4 Inference,
Module 13:
Case C→Q,
Module 14:
Case C→C and Q→Q
Readings:
Online/R
Read Unit 4 Inference, Module 14: Inference
for Relationships
Week 12 11:59 PM
4/12/2015
Assessment:
Module 13: Case C→Q Checkpoint, and Module
14: Case C→C and Q→Q Checkpoint
Week 12 11:59 PM
4/12/2015
Activities:
Module Forum Discussion: Students can ask
questions and get help from other classmates.
13
F2F/T
Unit 4 Inference
Module 14: Inference for Relationships
Online/R
Assessment:
Module 14: Inference for Relationships
Checkpoint
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10
Week 13 11:59 PM
4/19/2015
MMAT-3315.01R Probability and Statistics
Week
Mode of
Delivery/Day
Spring 2015 Syllabus
Assignments
Due
Activities:
Module Forum Discussion: Students can ask
questions and get help from other classmates.
Week 14 11:59 PM
4/26/2015
14
F2F/T
Online/R
Project Presentations
Peer Review
Week 15 11:59 PM
5/3/2015
15
F2F/T
Online/R
Project Presentations
Peer Review
Grading Policy
Graded Course Activities
Description
Points
OLI-Checkpoints
400 points
Module Facilitation
300 points
Project
200 points
Participation
100 points
Total Points Possible
1000 points
Final grades assigned for this course will be based on the percentage of total points earned and
are assigned as follows:
Component
OLI-Checkpoints
Module Facilitation
Project
Participation
Total
A = 90-100%
B = 80-89%
C = 70-79%
F = Below 70%
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Weight
40%
30%
20%
10%
100%
MMAT-3315.01R Probability and Statistics
Spring 2015 Syllabus
Late Work Policy
Be sure to pay close attention to deadlines—there will be no make-up assignments or late work
accepted without a serious and compelling reason and instructor approval.
Viewing Grades in OLI
Points you receive for checkpoints will be posted to the OLI Grade Book. Click on the
Gradebook link on the top navigation to view your points.
Instructor Feedback for Project and Module Facilitation
Your instructor will update the online grades each time a grading session has been complete—
typically 7 business days following the completion of an activity; however, your grades for the
OLI Checkpoints will be in your grade book from OLI.
Course Policies
Participation
Online courses require your active participation. Here are some tips for success:

In discussion forums, you learn from one another by posing questions, justifying your
comments, and providing multiple perspectives. When you prepare for discussions
through thoughtful reflection, you contribute to your own successful learning experience
as well as to the experience of your peers.

Log in to the course frequently (at least several times per week for long semesters and
daily for summer sessions) and check the announcements. This will keep you apprised of
any course updates, progress in discussions, assignment information, and messages
requiring immediate attention.

Be aware of and keep up with the Course Schedule in the Syllabus.

Participate in team activities to the best of your ability. How well your team does—and
how well you do—depends on all the team members working cooperatively.
Netiquette
1. Be aware that typing in all capital letters indicates shouting.
2. Be careful with humor and sarcasm. Both can easily be misunderstood!
3. Review all discussion postings before posting your own to prevent redundancy [and
repetition].
4. Check your writing for errors by reviewing what you’ve written before submitting it.
5. Acronyms (LOL, etc.) and emoticons (smilies) are commonly used online, but be careful
not to overuse them.
- See more at: http://www.dontwasteyourtime.co.uk/elearning/netiquette-a-handy-guide-foronline-students/#sthash.23rdevwy.dpuf

Behind every name there is a person. Respect each other. We are all in this together.
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MMAT-3315.01R Probability and Statistics
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



Spring 2015 Syllabus
Keep in mind you are taking a college class. Something that would be inappropriate in a
traditional class is also inappropriate in an online class.
Be aware that typing in all capital letters indicates shouting
Be careful with humor and sarcasm. Both can be misunderstood.
Review all discussion postings before posting your own to prevent redundancy.
Acronyms (LOL, etc.) and emoticons (smiles) are commonly used online, but be careful
not to overuse them.
Build Rapport
If you find that you have any trouble keeping up with assignments or other aspects of the course,
make sure you let your instructor know as early as possible. As you will find, building rapport
and effective relationships are key to becoming an effective professional. Make sure that you are
proactive in informing your instructor when difficulties arise during the semester so that we can
help you find a solution.
Complete Assignments
All assignments for this course will be submitted through OLI-CMU and BB Learn.
Assignments and project must be submitted by the given deadline or special permission must be
requested from instructor before the due date. Extensions will not be given beyond the next
assignment except under extreme circumstances.
Communication Skills
All students must have adequate writing skills to communicate content in a professional and
concise manner.
Time Commitment
Hybrid courses are typically just as time intensive, and may be more rigorous than traditional
courses. Many students claim that hybrid courses require more time and commitment. As you
begin this course, you would be wise to schedule 9 or more hours per week for studying materials
and completing assignments.
Falling behind in this course is particularly problematic because the concepts we cover are
cumulative. This means that not becoming proficient with information and objectives presented
and assessed in a particular week can lead to low scores for that week as well as in subsequent
weeks.
The following are ways to get free help outside of class:
1.
2.
3.
Contact your instructor during their office hours or make appointment.
Get free Math tutoring from the Math Learning Center located in the LEAC building
in room 114 phone # 956-665-2532. Tutoring hours are: Monday-Thursday 8:30 am 6:00 pm and Friday 8:30 am - 1:00 pm.
Get free Math tutoring from Math Lab in Math building (MAGC) in rooms 1.106 and
1.308, Monday –Thursday : 8:00 am – 7:00 pm and Friday: 8:00 am – 1:30 pm.
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MMAT-3315.01R Probability and Statistics
Spring 2015 Syllabus
Understand When You May Drop This Course
It is the student’s responsibility to understand when they need to consider de-enrolling from a
course. Refer to the UTPA Course Schedule for dates and deadlines for registration. After this
period, a serious and compelling reason is required to drop from the course. Serious and
compelling reasons includes: (1) documented and significant change in work hours, leaving
student unable to attend class, or (2) documented and severe physical/mental illness/injury to the
student or student’s family.
Inform Your Instructor of Any Accommodations Needed
If you have a documented disability and verification from the Disability Services, and wish to
discuss academic accommodations, please contact your instructor as soon as possible. It is the
student’s responsibility to provide documentation of disability to Disability Services and meet
with a SSWD counselor to request special accommodation before classes start.
Disability Services is located in room 322 University Center and can be contacted by phone at
(956) 316-7911 (Voice) (956) 316-7911 or via email at [email protected].
Commit to Integrity
As a student in this course (and at this university) you are expected to maintain high degrees of
professionalism, commitment to active learning and participation in this class and also integrity in
your behavior in and out of the classroom.
Mandatory Course Evaluation Period (April 15 – May 6). Students are required to complete an
ONLINE evaluation of this course, accessed through your UTPA account
(https://my.utpa.edu/); you will be contacted through email with further instructions
on the evaluation process. The evaluation window closes at 11:59 pm on May 6th, the last day
of classes for the spring semester. Students who complete their evaluations by May 6th will
have priority access to their grades.
UTPA Academic Honesty Policy & Procedures
“The principles of truth and honesty are recognized as fundamental to a community of scholars
and teachers. California State University, Sacramento expects that both faculty and students will
honor these principles, and in so doing, will protect the integrity of academic work and student
grades.”
Read more about UTPA’s Academic Honesty Policy & Procedures
Definitions
At UTPA, Scholastic dishonesty includes but is not limited to cheating, plagiarism, collusion, the
submission for credit of any work or materials that are attributable in whole or in part to another
person, taking an examination for another person, any act designed to give unfair advantage to a
student or the attempt to commit such acts.
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MMAT-3315.01R Probability and Statistics
Spring 2015 Syllabus
“Plagiarism is a form of cheating. At UTPA, “plagiarism is the appropriation, buying, receiving
as a gift, or obtaining by any means another's work and the unacknowledged submission or
incorporation of it in one's own academic work offered for credit..”
Source: UTPA HOP
Important Note: Any form of academic dishonesty, including cheating and plagiarism, may be
reported to the office of student affairs.
Course policies are subject to change. It is the student’s responsibility to check Blackboard for
corrections or updates to the syllabus. Any changes will be posted in Blackboard.
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