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Course Syllabus

Course Information

Course Title ALY6010: Probability Theory and Introductory Statistics

Course Number (CRN)

Term and Year

Start and End Dates

Credit Hours

Course Format

Location (if 100% online, note Northeasterns learning management system, Canvas Login URL: https://canvas.northeastern.edu/)

Meeting Days/Times (if not 100% online)

Instructor Information

Full Name

NEU Email Address

(Virtual) Office Hours (include location, hours, days, or “Email me to schedule an appointment”)

Second Point of Contact

In the event that some concern about the course arises and is not addressed by the instructor, please contact:

Full Name – Dr. Thomas Goulding

NEU Email Address t.goulding@northeastern.edu

Iffor any reason you wish to express a concern about anything that may impact your success in a course, first speak directly with your Instructor. If you need additional support, please contact your Academic Advisor.

NuFLEX Requirements

Should this course fall under the Hybrid NuFlex  policy, please refer to any and all supplemental materials pertaining to class attendance, participation, and other aspects impacting student and/or instructor engagement.  For additional information, please refer to your advisor.

Technical Requirements

Courses are available on Northeastern University’s Canvas at the following link: http://canvas.northeastern.edu. Canvas Technical support and resources including 24/7 phone (1-833-450- 3937), and chat can be found on the help icon in Canvas. Northeastern Technical support can be accessed at 617-373-4357 (xHELP) orhelp@northeastern.edu.

Each student is responsible for their access to the internet for purposes of this course and for research. Internet access is a required component of this course and will not be accepted as an excuse for missed work . If you know that you will be traveling, then make sure you plan accordingly.

Note regarding e-mail/voicemail: If you e-mail, please include your name and class title. Please allow up to 48 hours for an email reply. If you leave  a voicemail, please remember to include your name, class title, and phone number.

Course Prerequisites

N/A

Course Description

Introduces statistics for business analytics from an analysis-of-data viewpoint. Topics include frequency distributions; measures of location; mean, median, mode; measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; categorical data; regression and correlation; and analysis of variance. Explores the use of statistical software in data analysis. Lab sessions emphasize hands-on application of probability and statistics in Excel and data problem solving with advanced Excel techniques.

Course Materials

Bluman Elementary Statistics: A Step by Step Approach 10th edition, McGrawHill ISBN 978-1-260-04200-9

R. Kabacoff, R in Action 2nd edition, Manning, ISBN 978-1-617-29138-8

Program Learning Outcomes (PLOs)

PLO1: Demonstrate the foundational knowledge and skills critical to pursue data analytics as a process in relation to statistics and math.

PLO2: Articulate and effectively defend the significance and implications of the work in data analytics in terms of challenges and trends in a local, national or global context.

SAIL Baseline Mapping

Enter 5 for Central, 4 for Significant, 3 for Moderate, 2 for Minimal, 1 for Potential, or 0 for None

Enter 1 for Passive

Engagement, 2 for Active

Engagement, or 3 for

Generative Engagement

Social

Consciousness

& Commitment

Global

Mindset

Intellectual Agility

Personal &

Professional

Effectiveness

Well- Being

Level of Engagement

2

2

4

4

1

3

Refer to SAIL for Web at https://sail.northeastern.edu/about/

Course Learning Outcomes

Based on satisfactory completion of this course, a student should be able to:

CLO1: Develop strategic and operational questions based on the data and the need of the organization      CLO2: Use data analysis techniques (hypothesis testing, correlation, t-testing, variance, and single variable linear regression) to answer research questions

CLO3: Use R” to perform computations and a wide range of  statistical techniques

CLO4: Interpret the results from data analysis techniques

CLO5: Explain the implications of the results from data analysis for the purpose of answering essential business questions

Expectations

•    Workload

o One (1) academic credit requires 50 minutes a week of classroom or faculty instruction and  about two hours of out of class student work for a 15-week course; 100 minutes a week of   classroom or direct faculty instruction and about 3.5 hours of out of class student work for a 7.5-week course.

o For a three-credit course, students should expect 2.5 hours a week of classroom or faculty instruction and a minimum of 5 hours of out of class student work for a 15-week course; 5 hours of classroom or direct faculty instruction and a minimum of 10 hours of out of class student work for a 7.5-week course.

o APA citations

Attendance Policy

As the weekly class session is a vital part of the learning experience, all students are expected to attend every week, be on time for the start of class, and stay until the end ofclass.

However, in the event of extraordinary, legitimate and unavoidable situations, students may be excused for lateness or absence. Extraordinary, legitimate and unavoidable situations include personal illness, urgent family business, work-related issues, transportation-related issues, religious requirements. If at all possible, students should let the instructor know by e-mail about the excused absence or lateness before class.

Policy on late work

Each assignment is due on the date indicated - late assignments will not receive any points. There are no make-up dates, extensions, or re-works for the assignments after they are handed in, except for documented personal emergencies or special permission granted by the instructor in writing. Special permission must be requested in writing to the instructor at least two days prior to the due date of the assignment.

Course Methodology

Each week, you will be expected to:

1. Review the week's learning objectives.

2. Complete all assigned readings (approximate time spent: 2 hours).

3. Complete all lecture materials for the week (approximate time spent: 1.5 hours).

4. Participate in the Discussion Board (approximate time spent:1.5 hours).

5. Complete and submit all assignments and tests by the due dates (approximate time spent: 5-8 hours).

Participation/Discussion Board [ALL STUDENTS ALL COURSE DELIVERY MODES]

•    At least one Primary responses are due by 11:59pm EST on the Thursday of each week

•    At least two secondary response are due by 11:59pm EST on the Sunday of each week

During each week, learners are required to post a “primary response” by Thursday, 11:59 P.M. (Eastern), and a minimum of two replies to the primary posts of other students by Sunday, 11:59 P.M. (Eastern) – a minimum of three   postings for each discussion question. Primary responses that are posted after Thursday will not be accepted. Note that the replies for the week 6 discussions are due by the Saturday of week 6 by 11:59 P.M. (Eastern).

•  The primary response should consist of a minimum of 200 words, and each reply should contain at least 80 words.

•  Learners are expected to post their responses to the weekly discussion questions on at least two different days of the week so that there will be enough time for fruitful correspondences with the instructor and/or with     other learners throughout the week.

•  Last minute postings that are empty of substance and essence will result in significant point deductions.

•  When responding to the Discussion forum, learners should support their comments with logical reasoning and with the techniques of data analysis. Simply stating that agree or disagree without further describing why will not be accepted as a valid discussion.

•  Copying and pasting from any source into the discussion board is considered a form of plagiarism and is unacceptable.

To facilitate interaction, students are expected to review the online postings on a regular basis even after        they have posted their own minimum required postings. Please treat your classmates and the instructors with the utmost respect. Inappropriate posts will be removed immediately. The instructor reserves the right to penalize students for repeated violations of the participation policy (and/or Academic Integrity Policy) within a course. In the discussion board and in class, high quality contributions advance the class discussions    and do not simply summarize the material that was assigned. Quality contributions take into account not only the instructor’s questions but also yourclassmates’ contributions. Please be mindful that the Discussion Board is a space for academic exchanges. As a result, students are accountable for using proper and exacting punctuation, spelling, and grammar. In addition, you may be required to reference all outside sourcesin correct citation format. It is crucial that all participants maintain a high regard for proper decorum in the Discussion Board.

Evaluation Standards

All assignment rubric are included in the assignment documents and visible from the Canvas assignments

Grading

Graduate Programs Final Grading Scale

95-100% A

87-89.9% B+

77-79.9% C+

69.9% or below       F

84-86.9% B

74-76.9% C

90-94.9% A-

80-83.9% B-

70-73.9% C-

Grade Breakdown:

Title

Description

Grade (Pts or %)

1

Discussions

6 total

10%

2

R Practice Assignments

6 total

20%

3

Quizzes

6 total

10%

4

Final Project and Milestone

assignments

2 milestone assignments and final project

60%

Total

100%