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Course Details

 

Course Details

Course Code: WEBD122 Course ID: 4416 Credit Hours: 3 Level: Undergraduate

This course is an introductory study of Web analytics technology and how businesses and organizations may to use the technology to measure website traffic, enhance business presence, and conduct market research. The course begins with some basic introductory concepts and lays the foundation for more advanced topics regarding the subject. The course will cover both conceptual and scenario based exercises, thus enabling students to experience the maximum amount of comprehension and retention of material covered in the course.

Course Schedule

Registration Dates Course Dates Start Month Session Weeks
04/26/2021 - 10/01/2021 10/04/2021 - 11/28/2021 October Fall 2021 Session B 8 Week session
05/21/2021 - 10/29/2021 11/01/2021 - 12/26/2021 November Fall 2021 Session I 8 Week session
06/28/2021 - 12/03/2021 12/06/2021 - 01/30/2022 December Fall 2021 Session D 8 Week session
07/27/2021 - 12/31/2021 01/03/2022 - 02/27/2022 January Winter 2022 Session B 8 Week session
08/31/2021 - 02/04/2022 02/07/2022 - 04/03/2022 February Winter 2022 Session I 8 Week session
09/28/2021 - 03/04/2022 03/07/2022 - 05/01/2022 March Winter 2022 Session D 8 Week session

Current Syllabi

After successfully completing this course, you will be able to

  1. Define Web analytics
  2. Describe how Web analytic is used to collect, analyze and report website traffic
  3. Identify Key tools and diagnostics associated with Web analytics
  4. Explain data collection options available for strong analytics
  5. Compare and Contrast Web Analytics methodology
  6. Compare and Contrast analytic tools used to measure metrics
  7. Summarize how web analytics is used as a tool for visitor centrics, e-Commerce, business research, and market research
  8. Explain effective Web analytics strategies and implementation
  9. Interpret the Analyst skill set in the current business environment

Supplemental Readings:

Students are encouraged to research weekly topics on the internet and use their research findings in the discussions or weekly essays to support their points. Be sure to reference your sources according to the APA 6th Edition.

Forum Assignments:

Week 1 Forum:

Topic 1: Introduce Yourself

Topic 2: Web Analytics Data Collection Importance – Case Study Scenario
Topic 3: Academic Honesty - Plagiarism

Week 2 Forum:

Topic 1: Online Research: Topic of Choice

Week 3 Forum:

Topic 1: Piwik Open Source Demo (Hands-on)

Topic 2: Web Logs versus JavaScript Tags

Week 4 Forum:

Topic 1: Google Analytics Product Tour/Review

Week 5 Forum:

Topic 1: Measuring Email and Multichannel Marketing/Pit Fall Avoidance

Week 6 Forum:

Topic 1: Making Web Analytics Actionable

Week 7 Forum:

Topic 1: Turbo Charging Your Web Analytics

Week 8 Forum:

Topic 1: Practical Steps and Best Practices

Homework Assignments:

Week 1 Assignment:

Assignment 1: Company Website Vibe

Week 2 Assignment:

Assignment 1: Explain the 10/90 Rule - PowerPoint

Week 3 Assignment:

Assignment 1: Explain the URL Role

Week 4 Mid-Term Project/Assignment

Week 5 Assignment:

Assignment 1: Experimenting and Testing

Week 6 Assignment:

Assignment 1: Explain the Executive Dashboard & Trinity Mindset

Week 7 Assignment:

Assignment 1: Explaining KPIs

Week 8 Assignment: (will open in week 7)

Final Project/Assignment: PowerPoint Presentation

Exams/Quizzes

There will only be four (4) quizzes in the course, each consist of 25 questions and are terminology based multiple choice.

Week 1 Quiz

Week 2 Quiz

Week 5 Quiz

Week 6 Quiz

Field Experience Assignments: None

Final Project:

Your presentation will consist of 10 -15 slides with an opening title slide. You must include notes to each slide in support of that page (this is very important). The notes must be supported with APA style references of 3 - 5 sources in total.

Your PPT Presentation is due at the end of week 8; your title slide must include the title of your Presentation, the date, the name of this course, your name, and your instructor's name.

Submit your Final Project PowerPoint Assignment in the classroom assignment area for Week 8.

NameGrade %
Forums 23.00 %
Week 7 - Topic 2 2.88 %
Week 1 Forum 2.88 %
Week 2 Forum 2.88 %
Week 3 Forum 2.88 %
Week 4 Forum 2.88 %
Week 5 Forum 2.88 %
Week 6 Forum 2.88 %
Week 8 Forum 2.88 %
Assignments 30.00 %
Assignment 1: Week 1 Website Vibe 5.00 %
Assignment 2: Week 2 Explain the 10/90 Rule (Presentation) 5.00 %
Assignment 3: Week 3 Explain the URL Role 5.00 %
Assignment 5: Experimenting and Testing 5.00 %
Assignment 6: The Executive Dashboard and the Trinity Mindset 5.00 %
Assignment 7: Understanding KPIs 5.00 %
Quizzes/Exams 17.00 %
Week 6 - Terminology Quiz 1 4.25 %
Week 6 - Terminology Quiz 3.40 %
Week 1 - Terminology Quiz 4.25 %
Week 5 - Terminology Quiz 4.25 %
Week 2 - Terminology Quiz 4.25 %
Week 4 Project Assignment 15.00 %
Week 4: Project/Assignment 15.00 %
Final Project PowerPoint Presentation Assignment 15.00 %
Week 8: Final Project/Assignment 15.00 %
Extra Credit 1.00 %
Week 7 Forum 1.00 %

After successfully completing this course, you will be able to

  1. Define Web analytics
  2. Describe how Web analytic is used to collect, analyze and report website traffic
  3. Identify Key tools and diagnostics associated with Web analytics
  4. Explain data collection options available for strong analytics
  5. Compare and Contrast Web Analytics methodology
  6. Compare and Contrast analytic tools used to measure metrics
  7. Summarize how web analytics is used as a tool for visitor centrics, e-Commerce, business research, and market research
  8. Explain effective Web analytics strategies and implementation
  9. Interpret the Analyst skill set in the current business environment
Book Title:To find the library e-book(s) req'd for your course, please visit http://apus.libguides.com/er.php to locate the eReserve by course #.
Author: No Author Specified
 
Book Title:Web Analytics : An Hour a Day- e-book available in the APUS Online Library
ISBN:9780470130650
Publication Info:Wiley Lib
Author:Kaushik, Avinash
Unit Cost:$20.60
 
Book Title:Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity - e-book available in the APUS Online Library
ISBN:9780470529393
Publication Info:Lib
Author:Kaushik
Unit Cost:$28.87
 

Previous Syllabi

Not current for future courses.