DT&L: Schedule

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DT&L: Schedule

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Before Week 1

You can complete this deliverable by visiting the Before We Begin page of ShannonWeb.

Week 1, Classes 1 & 2 | What’s This DT&L Thing About?

Discuss During Class
  • Introduction to DT&L (Monday)
    • DT&L Project
    • Team Organization
    • Project Focus
  • DT&L Alumni Day (Wednesday)

Week 2: Class 3 | Adobe Creative Cloud

Monday: Labor Day – No Class
Before Class (Wednesday)
Read/Watch the following in sufficient depth so that you can participate in an informed discussion and use these resources throughout the course
During Class (Wednesday)
Deliverable(s)
  • Gretzky Portfolio (Adobe Portfolio) initial setup, including the “About Me” page, due no later than Saturday at 11:31 p EDT

Week 3, Class 4 & 5 | Generative AI, Exponential Change & Uncertainty

Before Class (Monday)
Read/Watch the following in sufficient depth so that you can participate in an informed discussion and use these resources throughout the course
During Class (Monday)
  • Overview of Generative AI, Prompt Engineering, Ethics, and Use of Generative AI
Review Before Class (Wednesday)
During Class (Wednesday)
  • Discuss Exponential Change and Uncertainty
Deliverable(s)
  • DT&L Reflection Journal (Adobe Express) initial setup, including an initial journal entry, due Saturday no later than 10:58 p EDT

Week 4, Classes 6 & 7 | Overview of Strategic Foresight | Futures Thinking

Introduction to strategic foresight and its importance in contemporary society and business. We begin discussing foresight, strategic planning, and future thinking. Techniques such as scenario planning and trend analysis will be introduced to help us anticipate and prepare for future scenarios.
Review Before Class
Read/Watch the following in sufficient depth so that you can participate in an informed discussion and use these resources throughout the course
During Class
  • Definition and principles of strategic foresight, its history, and real-world applications
  • Understanding strategic foresight and future studies
  • Techniques in strategic foresight: Scenario planning, Fringe sketch, etc.
  • Importance and use of strategic foresight in various fields
  • Practical examples of strategic foresight
Deliverable(s)
  • DT&L Portfolio (Adobe Portfolio) initial setup, including an initial journal entry, due Saturday no later than 9:48 p EDT

Week 5, Classes 8 & 9 | Disruptive Innovation: Definition, History, and Impact

Overview of disruptive innovation, its origins, and its consequences in various sectors. We delve into the theory of disruptive innovation popularized by Clayton Christensen. We will examine the characteristics of disruptive innovations and how they can upend established industries and create new markets.
Review Before Class
Read/Watch the following in sufficient depth so that you can participate in an informed discussion and use these resources throughout the course
During Class
  • Definition and history of disruptive innovation, examples of disruptive companies, and effects on the market
  • Impact of disruptive innovations on industries

Week 6, Classes 10 & 11 | Role of Digital Transformation in Business

We are exploring the relevance of digital transformation in businesses and its effects. Shifting the focus to digital transformation and its influence on business models, this week covers the essentials of this crucial process. What does digital transformation entail, and what technologies drive it, such as cloud computing, big data analytics, and the Internet of Things (IoT)? The role of leadership in spearheading successful digital transformation efforts will also be discussed. We will explore the interplay between digital transformation and disruptive innovation.
Review Before Class
Read/Watch the following in sufficient depth so that you can participate in an informed discussion and use these resources throughout the course
During Class
  • Understanding digital transformation, its impact on business models, and organizational change
  • Strategies for digital transformation: Cloud computing, big data, etc.
  • The role of leadership in digital transformation
  • Challenges in digital transformation: security, privacy, and more
Deliverable(s)
  • P1: Preliminary Evaluation Due Saturday No Later Than 9:48p EDT

Week 7, Class 12 | Artificial Intelligence: The Driving Force

Monday: Fall Break – No Class
Overview of AI, its history, and current role in society and business. We will introduce the concepts of AI and machine learning and their various forms and applications. Artificial Intelligence is a key driver of disruptive innovation in multiple sectors. We will gain an understanding of AI applications, such as natural language processing, computer vision, and robotics. We will also explore the transformative potential of AI in fields like healthcare, finance, and transportation.
Review Before Class

Prepare For Week 13 Discussion

  • Range, Introduction, Chapters 1, 2 & 3

During Class

  • Overview of artificial intelligence, understanding machine learning and deep learning, applications of AI
  • Applications of AI: From personal assistants to healthcare
Deliverable(s)
  • Level 1 Artifact With Accompanying Text Due Saturday No Later Than 9:48p EDT

Week 8, Classes 13 & 14 | AI in Practice: Use Cases, Benefits, and Challenges

This week we will explore various use cases of AI, its benefits, potential risks, and the broader societal implications of AI technologies.
Review Before Class
Read/Watch the following in sufficient depth so that you can participate in an informed discussion and use these resources throughout the course

Prepare For Week 13 Discussion

  • Range, Introduction, Chapters 4, 5 & 6
During Class
  • AI in industries, benefits of AI, challenges and limitations
  • AI use cases, benefits, and potential risks of AI
  • Societal Implications of AI

Deliverable(s)

  • Level 2 Artifact With Accompanying Text Due Saturday No Later Than 9:48p EDT

Week 9, Classes 15 & 16 | Artificial Intelligence & Ethics

With great power comes great responsibility. This week, we will examine the ethical implications of AI. We will discuss AI biases and fairness, the potential for AI to perpetuate inequality, and the moral dilemmas raised by autonomous systems. We will engage in thoughtful discussions about the ethical challenges and considerations surrounding the widespread use of AI technologies.
Review Before Class
Read/Watch the following in sufficient depth so that you can participate in an informed discussion and use these resources throughout the course

Prepare For Week 13 Discussion

  • Range, Introduction, Chapters 7, 8 & 9
During Class
  • AI ethics, fairness, accountability, transparency, and privacy
  • Social and ethical implications of AI
  • Understanding AI bias and fairness
  • The future of work: AI and automation

Deliverable(s)

  • P2: Interim report Due Saturday No Later Than 9:48p EDT

Week 10, Classes 17 & 18 | Law and Regulation in the Digital Age

We will delve into the legal and regulatory aspects of digital technologies, focusing on data protection and privacy laws and the legal issues arising from digital transformation and disruptive innovation
Review Before Class
Read/Watch the following in sufficient depth so that you can participate in an informed discussion and use these resources throughout the course
During Class
  • Understanding the legal and regulatory landscape of digital technologies
  • Introduction to data protection and privacy laws (e.g., GDPR, CCPA)
  • Legal issues arising from digital transformation

Prepare For Week 13 Discussion

  • Range, Chapters 10, 11, 12 & Conclusion
Deliverable(s)
  • Level 2 Artifact With Accompanying Text Due Saturday No Later Than 9:48p EDT

Week 11, Classes 19 & 20 | Legal and Regulatory Challenges of Disruptive Innovation

This week discusses the regulatory challenges posed by disruptive innovations, how regulators have responded to disruptive technologies, and the balance between fostering innovation and maintaining effective regulation
Review Before Class
Regulatory:
During Class
  • Introduction to the regulation of disruptive technologies
  • The balance between innovation and regulation

Week 12, Classes 21 & 22 | The Intersection of AI and Law | Visit With A Futurist

We will focus on the legal implications of AI use and potential regulation.
Review Before Class (Monday)
Read/Watch the following in sufficient depth so that you can participate in an informed discussion and use these resources throughout the course
During Class (Monday)
  • Legal challenges posed by AI, AI and liability, potential regulatory solutions
  • Cyberlaw, data protection, and privacy, intellectual property rights in the digital age
  • Legal and ethical considerations of AI
  • Predictive policing and algorithmic bias
Review Before Class (Wednesday)
Review the following in sufficient depth so that you can participate in an informed discussion and use these resources throughout the course
During Class (Wednesday)
Deliverable(s)
  • DT&L Final Portfolios Due No Later Than 3:47p ET

Week 13, Class 23 | Perspective

Wednesday: Thanksgiving Break – No Class
We will focus on comparative advantages presented by the differences between generalists and specialists.

Before Class (Monday)

  • Prepare for Range Discussions

During Class (Monday)

  • Discuss the roles of generalist vs. specialist

Deliverable(s)

  • Complete Review of Final DT&L Portfolios in Preparation for Discussion

Week 14, Classes 24 & 25 | DT&L Portfolio Discussions

Review Before Class 
Discuss During Class 

Week 15, Classes 26 & 27 | DT&L Portfolio Discussions

Review Before Class 
Discuss During Class 

Deliverable(s)

  • Gretzky Portfolio & Reflection Journal Due Sunday No Later Than 10:24p ET

Week 16, Class 28 | Course Wrap, Gretzky Plans and Future Trends

We will review the course’s key themes and explore potential future trends in digital transformation, AI, and law. We will assess progress since the pre-course Gretzky Evaluation and evaluate future preparedness for personal and professional success
During Class 
  • Review of the major themes of the course
  • Identification and exploration of future trends in digital transformation, AI, and law
  • Assess progress since the pre-course Gretzky Evaluations
  • Evaluate future preparedness for personal and professional success
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