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Digital Marketing

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DMK 105 - Data Management: Digital Metrics and Measurement C21

Academic Credit Value:
3 units
Course Delivery Mode:
Online
Hours of Study:
36 hours
Course Prerequisite(s):
Fundamentals of Digital Marketing
Course Anti-requisite(s):
N/A
Instructor Name:
Elisa Salmoni Way
Course Dates:
05/03/2021 - 07/25/2021



Required Course Materials:
N/A
Optional Course Materials:
N/A
Course Description:
The expansion of e-commerce, web analytics and business analysis drives the need to stay current and relevant specific to theories and principles of digital data management practices. Examine data management technologies, tools, processes and analysis for decision making. Explore theories and examples of predictive analytics and Big Data and the impact on business, business intelligence systems and strategies for employing data to digital marketing.
Learning Outcomes:
Upon completion of this course, students will:
  • Classify various analytical tools based on their relevance to digital marketing.
  • Integrate data management frameworks into digital marketing campaigns.
  • Summarize ethical and legal frameworks that apply to digital data management.
  • Perform basic analysis of data sets to inform marketing decisions.
  • Determine the success of a marketing campaign through key performance indicators.
Course Evaluation
The final grade is calculated based on the following components:
Discussions: 20%
Case Studies: 50%
Digital Marketing Analytics Plan: 30%
Course Format:
This course is designed to present the fundamental concepts and theories in data management, digital metrics and measurement and promote the application to the workplace and professional practice. Course activities will include instructor presentations, required readings and experiential learning activities (i.e. case studies, group discussions, projects, etc.).
Assignment Submission:
Course assignments are submitted to the appropriate A2L Assignment folder by the specified due date
Late Coursework:
Late assignments will be subject to a 2% per day late penalty (includes weekends and holidays) for up to seven (7) days. After this date, no assignments will be accepted and a grade of zero (0) will be applied. Extensions for course work must be approved by the instructor before the due date (see Academic Regulations below), and will be granted for illness or emergencies only. Students may be asked to submit supporting documentation for an extension request.  

Policy & Procedures:

Academic Regulations (Attendance, Coursework, Tests/Exams):
In accordance to McMaster University’s General Academic Regulations, “it is imperative that students make every effort to meet the originally scheduled course requirements and it is a student’s responsibility to write examinations as scheduled.” Therefore, all students are expected to attend and complete the specific course requirements (i.e. attendance, assignments, and tests/exams) listed in the course outline on or by the date specified. Students who need to arrange for coursework accommodation, as a result of medical, personal or family reasons, must contact the course instructor within 48 hours of the originally scheduled due date. It is the student’s responsibility to contact the Program Manager to discuss accommodations and procedures related to deferred tests and/or examinations within 48 hours of the originally scheduled test/exam, as per policy. Failure to contact the course instructor, in the case of missed coursework, or the Program Manager, in the case of a missed test/examination, within the specified 48-hour window will result in a grade of zero (0) on the coursework/exam and no further consideration will be granted.

*Note: Supporting documentation will be required but will not ensure approval of accommodation(s).
Academic Integrity
You are expected to exhibit honesty and use ethical behaviour in all aspects of the learning process. Academic credentials you earn are rooted in principles of honesty and academic integrity. Academic dishonesty is to knowingly act or fail to act in a way that results or could result in unearned academic credit or advantage. This behaviour can result in serious consequences, e.g. the grade of zero on an assignment, loss of credit with a notation on the transcript (notation reads: “Grade of F assigned for academic dishonesty”), and/or suspension or expulsion from the university.

It is your responsibility to understand what constitutes academic dishonesty. For information on the various types of academic dishonesty please refer to the Academic Integrity Policy, located at http://www.mcmaster.ca/academicintegrity/

The following illustrates only three forms of academic dishonesty:

  1. Plagiarism, e.g. the submission of work that is not one’s own or for which other credit has been obtained.
  2. Improper collaboration in-group work.
  3. Copying or using unauthorized aids in tests and examinations.
Academic Accommodations:

ACADEMIC ACCOMMODATION OF STUDENTS WITH DISABILITIES

Students with disabilities who require academic accommodation must contact Student Accessibility Services (SAS) at 905-525-9140 ext. 28652 or sas@mcmaster.ca  to make arrangements with a Program Coordinator. For further information, consult McMaster University’s Academic Accommodation of Students with Disabilities policy.

Academic Accommodation for Religious, Indigenous or Spiritual Observances (RISO)

Students requiring academic accommodation based on religious, indigenous or spiritual observances should follow the procedures set out in the RISO policy. Students will need to contact their instructors as soon as possible to make alternative arrangements for classes, assignments, and other coursework. It is the student’s responsibility to contact McMaster Continuing Education to discuss accommodations related to examinations. (if applicable).

On-line Elements:

Conduct Expectations:

As a McMaster student, you have the right to experience, and the responsibility to demonstrate, respectful and dignified interactions within all of our living, learning and working communities. These expectations are described in the Code of Student Rights & Responsibilities (the “Code”). All students share the responsibility of maintaining a positive environment for the academic and personal growth of all McMaster community members, whether in-person or online.

It is essential that students be mindful of their interactions online, as the Code remains in effect in virtual learning environments. The Code applies to any interactions that adversely affect, disrupt, or interfere with reasonable participation in University activities. Student disruptions or behaviours that interfere with university functions on online platforms (e.g. use of Avenue 2 Learn, WebEx or Zoom for delivery), will be taken very seriously and will be investigated. Outcomes may include restriction or removal of the involved students’ access to these platforms.

Copyright and Recording:

Students are advised that lectures, demonstrations, performances, and any other course material provided by an instructor include copyright protected works. The Copyright Act and copyright law protect every original literary, dramatic, musical and artistic work, including lectures by University instructors.

The recording of lectures, tutorials, or other methods of instruction may occur during a course. Recording may be done by either the instructor for the purpose of authorized distribution, or by a student for the purpose of personal study. Students who wish to record sessions need to acquire permission from the instructor. Students should be aware that their voice and/or image may be recorded by others during the class. Please speak with the instructor if this is a concern for you.

Turnitin.com:
In this course, we will be using a web-based service (Turnitin.com) to reveal plagiarism.  Students will be expected to submit their work electronically to Turnitin.com so that it can be checked for academic dishonesty.  Students who do not wish to submit their work to Turnitin.com must still submit a copy to the assigned Assignment folder and add a note in the comment section that they do not wish to have the paper scanned by Turnitin.  Those files will not be selected for submission.  No penalty will be assigned to a student who does not submit work to Turnitin.com.  All submitted work is subject to normal verification that standards of academic integrity have been upheld (e.g., on-line search, etc.).  To see the Turnitin.com Policy, please go to www.mcmaster.ca/academicintegrity.
Course Changes:

The instructor reserves the right to modify elements of the course and will notify students accordingly.

Extreme Circumstances:

The University reserves the right to change the dates and deadlines for any or all courses in extreme circumstances (e.g., severe weather, labour disruptions, etc.). Changes will be communicated through regular McMaster communication channels, such as McMaster Daily News, A2L and/or McMaster email.

Course Withdrawal Policy:

Policies related to dropping a course and course withdrawals are posted to the Centre for Continuing Education’s program webpage, FAQs & Policies (https://www.mcmastercce.ca/cce-policies#Dropping).

Storm Closure Policy:
In the event of inclement weather, the Centre for Continuing Education will abide by the University’s Storm Closure Policy: https://www.mcmaster.ca/policy/Employee/storm_emergency_policy.pdf, and will only close if the University is closed. All in-class courses, exams and room bookings by internal and external clients will be cancelled if the Centre for Continuing Education is closed. On-line courses will take place as scheduled.
Grading Scale:
Grade Equivalent
Grade Point
Equivalent Percentages
A+ 12 90-100
A 11 85-89
A- 10 80-84
B+ 9 77-79
B 8 73-76
B- 7 70-72
C+ 6 67-69
C 5 63-66
C- 4 60-62
D+ 3 57-59
D 2 53-56
D- 1 50-52
F 0 0-49
Course Schedule:
 Topic & Readings  Assignments/Graded Components
 Module 1: Data in Business  
 Module 2: Data Measurement Principles  Discussions
 Module 3: Part 1: Data and Digital Marketing  Assignment 1: Case Study
 Module 4: Part 2: Data and Digital Marketing  Discussions
 Module 5: Market Research  Assignment 2: Case Study
 Module 6: Big Data  Discussions
 Module 7: Data Bias, Vanity and Corruption  Assignment 3: Case Study
 Module 8: Data Visualization  Discussions
 Module 9: Working With Deeper Data  Assignment 4: Case Study
 Module 10: Marketing Funnel Data  Discussions
 Module 11: Marketing Automation and
 Predictive Analytics
 
 Module 12: Law and Ethics Surrounding Data  Assignment 5: Digital Marketing Analytics Plan