Courses

Easton Courses

 

Technology Management (241A)

Current Topics in Emerging Technologies & Markets (275) including:

  • Innovation in Media & Entertainment Technology
  • Healthcare Technology
  • Product Management – Delivery
  • Product Management – Discovery
  • Machine Learning & Artificial Intelligence
  • Management in the Age of AI

Special Topics in Management (298D)

  • Technology & Society: A Dynamic Relationship and The Changing Role of Leaders

Please note: this is not a complete list of elective options for the Tech Management Specialization

Industry guest speakers will be an integral part of the courses by presenting current real-world scenarios given the recentness of the technologies and the rapid pace of market disruption they cause.

Artificial Intelligence (275)

Todd Holloway, VP of Customer Insights at Booking.com

This course aims to prepare students for leading in this emerging era of AI and machine learning. The material focuses on four aspects: the foundational concepts of machine learning, patterns for leveraging AI in business, patterns for managing AI teams and strategy, and trends in the field.

Close

Product Management Discovery (275)

Matt Conroy, EMEA Head of Product, Stripe

This course provides an introduction to the role of product management as well as practical tools for building products that delight users and build sustainable businesses. While the focus is primarily on how great software products are built within mature tech companies such as Google, Facebook and Amazon, the course will also highlight where differences may exist in startups or smaller company environments.

Close

Product Management Delivery (275)

Ying Zhou, Lead Product Manager of Marketplace, Uber

This course provides an introduction to the role of product management as well as practical tools for building products that delight users and build sustainable businesses. While the focus is primarily on how great software products are built within mature tech companies such as Google, Facebook and Amazon, the course will also highlight where differences may exist in startups or smaller company environments.

Close

Product Management Delivery (275)

Arun Rao, Product Leader of Machine Learning, Meta 

This course provides an introduction to the role of product management as well as practical tools for building products that delight users and build sustainable businesses. While the focus is primarily on how great software products are built within mature tech companies such as Google, Facebook and Amazon, the course will also highlight where differences may exist in startups or smaller company environments.

Close

Management in the Age of AI (275)

Dinkar Jain

In almost every sector of the economy AI is playing a transformative role or has the potential to do so. This course will enable managers in all walks of management (general managers, product managers, marketing managers, brand managers, etc.) to make better decisions by understanding AI's impact and identify relevant courses of action. We will study how every managerial discipline: Accounting, Finance, Branding, Marketing, Labor, Leadership, Pricing, and others have to be reinvented and readapted to match the opportunities and challenges posed by AI. We will also study the second order effects of AI on different parts of our society.

In this highly applied course you will learn to think like a general manager in the Age of AI. We will have extensive discussions of real companies and real data scenarios and apply them to different business problems.

Close

Healthcare Technology (275)

Jennifer McCaney, Executive Director, UCLA Biodesign

The course will address technologies and platforms poised to disrupt the health care industry. Disruptive innovations within the curriculum of this course encompass those that have the potential to fundamentally alter the delivery of health care through improved patient value, increased cost savings and changes in the practice of medicine. Topics covered will include digital health, consumer health care, personalized medicine and diagnostics, genomics and next-generation sequencing, wireless sensing and remote monitoring, virtual and augmented reality, telemedicine, mobile health platforms, electronic medical records and big data.

Close

Technology Management (241A)

Terry Kramer, Faculty Director, Easton Technology Management Center
This course will look at the dynamic and iterative nature of technology — the disruption, innovation and bold moves taken to create new services and competitive advantage. A broad variety of industry-changing products and services will be explored, including connected devices (Internet of Things), cloud computing, artificial intelligence, over-the-top content and shared-economy offerings. In turn, this course will assess the unique concepts and models that have enabled these new services, threatened existing providers, changed the competitive landscape and often blurred the lines of service offerings, including the role of standards, disruptive innovation, advertising-based business models, multi-sided platforms, cloud-based business models and the effects of competing convergence and unbundling. The increasing role/power of data as a predictive tool will be a significant backdrop to the class themes.
Close

Technology and Society (298D)

Terry Kramer, Faculty Director, Easton Technology Management Center
This course will look at the dynamic and disruptive nature of technology — enhancing outcomes that benefit enterprises and society collectively in areas such as financial services, education and healthcare. It will examine the unique ability of new technologies, whether based on high-speed networks, artificial intelligence or cloud computing, coupled with new business models such as platform-based businesses and the shared economy, to create transformational offerings that benefit both businesses and society. Cases exploring the disruptive effects of platform-based, online education; low-cost telehealth solutions; and new digital platforms for payments and financial transactions that create a multiplier effect of economic growth in developing markets will be covered. This course will also look at the growing “techlash” occurring against technology-based businesses in areas such as data privacy, antitrust, future of work, digital divide and income divide. It will explore the implications of growing scale with tech companies due to network effects and their relationship to antitrust concerns; the obligations of social networks such as Facebook, which operate huge platforms connecting billions of users but are also accused of promoting hate speech and divisiveness; the tradeoff of collecting/analyzing data to enhance health outcomes and national security against what is perceived as a growing threat to individual rights and privacy; and the potential transformative effects of autonomous vehicles in reducing the cost of transportation and incidents of fatalities against the prospect of notable job losses. And just as technology has affected society, society in many ways, with its own reactions, legislation and economic impact, has driven specific outcomes of technology-based innovation.
Close

Technological Innovations in Media and Entertainment (275)

Michael Montgomery, President, Montgomery & Co., LLC

Innovations in technology are impacting the media industry at a rapid pace. Recent advancements have not only disrupted the traditional business models, but they have also created an ecosystem that fosters new forms of media and new processes for consuming it. As media power and preferences continue to shift from corporations to the consumer, content creators are struggling to stay relevant in a continually evolving environment. Technological advancements have forced creators to innovate and alter the way they create, distribute and monetize content today. This class will examine how technology has impacted several key media verticals, including television, social media, gaming, filmmaking, music and short-form content creation.

Close

AI Essentials (275)

Brad Null

This course aims to prepare students for leading in this emerging era of AI and machine learning. The material focuses on four aspects: the foundational concepts of machine learning, patterns for leveraging AI in business, patterns for managing AI teams and strategy, and trends in the field. Classes will be held in person, and time will be spent on lectures, class discussions and guest speakers. There will also be two case studies and a final project.

Close