Lecture: 3 hours/week
and
Seminar: 1 hour/week
This course integrates theory with applied experiences through the following methods:
- Case Studies & Industry Engagement: Real-world applications of digital asset strategies.
- Hands-On Workshops: Practical exercises in no-code development and AI integration.
- Project-Based Learning: Individual and group assignments focused on digital asset management.
- Guest Speaker Series: Insights from industry professionals in digital marketing, UX/UI, and MarTech.
- Industry Certifications: Encouragement to complete Google, HubSpot, or Meta certifications.
This course will cover the use of no-code, low-code, and AI-powered tools for managing digital assets and optimizing marketing workflows.
-
Introduction to no-code, low-code, and AI-powered technologies
-
Role of digital asset management in modern marketing environments
-
Overview of Webflow, Wix, Zapier, and AI automation platforms
-
No-code website and application development fundamentals
-
Principles of UX/UI design for digital interfaces
-
Website and landing page creation using Webflow or Wix
-
Marketing automation using Zapier, HubSpot, and AI chatbots
-
AI-driven customer engagement and content recommendation
-
A/B testing and optimization of user experience
-
CRM integration for customer relationship and engagement strategies
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Use of HubSpot, Meta Business Suite, and Google Analytics for CRM
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Data analytics for website performance and user behaviour
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Application of Google Analytics 4 and data visualization tools
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Personalization techniques using machine learning and AI
-
Ethical considerations and data privacy laws in AI-driven marketing
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Addressing bias in AI algorithms for digital marketing
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Emerging trends in MarTech and digital transformation
-
Development of digital asset and marketing optimization strategies
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Strategic refinement of websites, automations, and personalization
By the end of this course, students will be able to:
- Design and optimize websites and applications using no-code/low-code platforms.
- Implement AI-driven automation for marketing tasks and customer engagement.
- Utilize data analytics platforms to inform marketing decisions.
- Apply UX/UI principles to enhance digital customer experiences.
- Manage and integrate digital marketing technologies into business strategies.
Assessment will be based on course objectives and will be carried out in accordance with the Douglas College Evaluation Policy. An evaluation schedule is presented at the beginning of the course. This is a graded course.
|
Assessment Component |
Weight |
|
Applied Assignments (No-Code and AI Applications) |
30-40% |
|
Digital Strategy Project (Group or Individual) |
25-30% |
|
Quizzes on Digital Tools and Concepts |
15-20% |
|
Case Study Analysis |
10-20% |
STUDENTS MUST COMPLETE ALL COMPONENTS OF THE COURSE AND ACHIEVE A MINIMUM AVERAGE GRADE OF AT LEAST 50 PERCENT ON THEIR TOTAL NON-GROUP EVALUATIONS TO OBTAIN CREDIT FOR THE COURSE.
Note: No single assignment to be worth more than 40%.
Students may conduct research as part of their coursework in this class. Instructors for the course are responsible for ensuring that student research projects comply with College policies on ethical conduct for research involving humans, which can require obtaining Informed Consent from participants and getting the approval of the Douglas College Research Ethics Board prior to conducting the research.
Textbooks and materials are to be purchased by students. A list of required and textbooks and materials is provided for students at the beginning of the semester. Example texts and materials may include:
- No-Code/Low-Code Platforms: Webflow, Bubble, Wix, Airtable, Zapier.
- AI-Powered Tools: Canva Magic Studio, ChatGPT, AI Magicx.
- Digital Analytics & CRM Tools: Google Analytics 4, Meta Business Suite, HubSpot.
Latest edition or equivalent as approved by the Department
None
None