Over the course of six months, you will examine the range of capabilities, from critical thinking to emerging technology to managing technology and innovation, to help you lead with excellence.
Module 1:
Introduction to Critical Thinking
Get introduced to the concept of critical thinking and meta-cognition, the processes used to plan, monitor, and assess one's own understanding. Learn to implement critical thinking for solving complex problems by analyzing alternative solutions critically and identifying types of evidence for or against the alternative solutions.
Module 2:
Critical Thinking in Context
Receive an introduction to the concept of information literacy and various research techniques to help you form conclusions. Assess the strength of evidence and relate evidence to different social and technical factors.
Module 3:
Structured Decision Processes
Practice group decision-making processes that focus on convergence and gathering information by using the Pugh Matrix and the Evaluation Matrix. Learn how MIT’s D-Lab applies these matrices into their research to develop and advance practical solutions to global poverty challenges.
Module 4:
Foundations of System Thinking
Understand the elements of system thinking through a diverse set of self-assessment activities and learning scenarios. Apply these concepts to a personal activity system and a professional activity system of your choice.
Module 5:
Supply Chain and Computational Approach of System Thinking
Learn how system thinking is applied to a diverse array of applications, including logistics, transportation systems, and computational systems.
Module 6:
Modern System Architecture
Describe the architecture of a system and identify both architectural decisions and non-architectural decisions. Identify the various elements in architecture representations and place these in the context of the overall documentation of the system.
Module 7:
Modeling with the Design Structure Matrix (DSM) and Modularization
Learn to construct a DSM, either by analyzing the design or by converting a graph of the system. Construct a process architecture DSM and identify how it is different from a design DSM.
Module 8:
Value-Oriented Decision-Making
Understand the process of tradespace exploration by defining value, a key metric by which designs are compared. Develop a model of value by characterizing a design using attributes and organize these attributes into hierarchies for evaluation and summation.
Module 9:
Creating AI-Based Products and Services
Get acquainted with the stages involved in the design process for AI-based products and services with a focus on cost metrics and technical requirements of an AI software development plan.
Module 10:
Machine Learning
Identify various machine learning algorithms and study the different approaches, such as Bayesian and regression models. Learn about unsupervised and semi-supervised methods of machine learning algorithms. Run and analyze the results from various machine learning algorithms.
Module 11:
Deep Learning
Building on the knowledge of machine learning fundamentals gained in module 10, explore the basics of deep learning. Topics include neural networks, artificial neurons, and simulation of complex networks.
Module 12:
Designing AI Machines to Solve Business Problems
Identify superhuman intelligence used in an AI product. Compare and contrast the advantages and disadvantages of using an AI technology.
Module 13:
Introduction to Augmented Reality and Virtual Reality (AR/VR)
Discover immersive media, including augmented reality, and virtual reality. Learn to differentiate the unique elements of AR, VR, and mixed reality and learn about the software and hardware requirements of each.
Module 14:
Future of AR/VR
Understand the applications of AR/VR in diverse fields such as medicine, military, and education. Learn about AI-enhanced augmented reality and drive innovation using AR/VR powered solutions. Analyze the impact of 5G on AR/VR experience and the long-term impact of COVID-19 on remote and virtual experiences.
Module 15:
Introduction to Quantum Computing
Learn about the core concept of quantum computing, its origin, and how it is different from other forms of computing. Compare and contrast classical computers (desktops, laptops, tablets, cloud servers, etc.) with quantum computers. Learn about the timeline for quantum computing and explore the types of problems that are a challenge for classical computers, but can be efficiently solved on a quantum computer.
Module 16:
Introduction to Radical Innovation
Get an introduction to radical innovation, a concept that is diametrically opposed to incremental innovation. Learn the core features of technical innovation in the modern world and the philosophy and strategies needed in an organization to execute various forms of innovation.
Module 17:
Urgency and Spirit of Radical Innovation
Understand the factors that pose a threat to innovation, both internal and external. Explore concepts such as super technologies, business model innovation, and developing your innovation pipeline.
Module 18:
Leading in Innovation
Understand the most important elements of how to innovate. Explore different methodologies such as Lean and Agile for executing innovation, and learn about testing, rapid prototyping, and design to lead innovation within your organization.
Module 19:
Technical Changes and Its Impact on Organizational Strategy
Recognize the key elements of strategy, the precursors to strategy, and the influence of strategy on products. Analyze the impact of technological changes on organizational strategy and apply strategic thinking for gaining competitive advantage.
Module 20:
Building High-Performance Teams
Learn how to create, staff, and mobilize the people and resources needed to effectively launch new project teams and improve existing ones. Examine strategies for managing three main types of group conflict: task-related conflict, relational conflict, and process conflict.
Module 21:
New Perspective of Leadership in Technical Teams
Explore different strategies to increase effectiveness and to build teams in a productive way. Learn to architect an effective organization that supports teams and teams' success. Implement post-mortems to capture lessons learned and build future capability in teamwork.
Module 22:
Navigating and Leveraging Networks
Get introduced to organizational networks and learn about the different categories of networks like social network, closed network, and open network. Identify the key players, their roles, and importance while leading change within an organization.
Module 1:
Introduction to Critical Thinking
Get introduced to the concept of critical thinking and meta-cognition, the processes used to plan, monitor, and assess one's own understanding. Learn to implement critical thinking for solving complex problems by analyzing alternative solutions critically and identifying types of evidence for or against the alternative solutions.
Module 12:
Designing AI Machines to Solve Business Problems
Identify superhuman intelligence used in an AI product. Compare and contrast the advantages and disadvantages of using an AI technology.
Module 2:
Critical Thinking in Context
Receive an introduction to the concept of information literacy and various research techniques to help you form conclusions. Assess the strength of evidence and relate evidence to different social and technical factors.
Module 13:
Introduction to Augmented Reality and Virtual Reality (AR/VR)
Discover immersive media, including augmented reality, and virtual reality. Learn to differentiate the unique elements of AR, VR, and mixed reality and learn about the software and hardware requirements of each.
Module 3:
Structured Decision Processes
Practice group decision-making processes that focus on convergence and gathering information by using the Pugh Matrix and the Evaluation Matrix. Learn how MIT’s D-Lab applies these matrices into their research to develop and advance practical solutions to global poverty challenges.
Module 14:
Future of AR/VR
Understand the applications of AR/VR in diverse fields such as medicine, military, and education. Learn about AI-enhanced augmented reality and drive innovation using AR/VR powered solutions. Analyze the impact of 5G on AR/VR experience and the long-term impact of COVID-19 on remote and virtual experiences.
Module 4:
Foundations of System Thinking
Understand the elements of system thinking through a diverse set of self-assessment activities and learning scenarios. Apply these concepts to a personal activity system and a professional activity system of your choice.
Module 15:
Introduction to Quantum Computing
Learn about the core concept of quantum computing, its origin, and how it is different from other forms of computing. Compare and contrast classical computers (desktops, laptops, tablets, cloud servers, etc.) with quantum computers. Learn about the timeline for quantum computing and explore the types of problems that are a challenge for classical computers, but can be efficiently solved on a quantum computer.
Module 5:
Supply Chain and Computational Approach of System Thinking
Learn how system thinking is applied to a diverse array of applications, including logistics, transportation systems, and computational systems.
Module 16:
Introduction to Radical Innovation
Get an introduction to radical innovation, a concept that is diametrically opposed to incremental innovation. Learn the core features of technical innovation in the modern world and the philosophy and strategies needed in an organization to execute various forms of innovation.
Module 6:
Modern System Architecture
Describe the architecture of a system and identify both architectural decisions and non-architectural decisions. Identify the various elements in architecture representations and place these in the context of the overall documentation of the system.
Module 17:
Urgency and Spirit of Radical Innovation
Understand the factors that pose a threat to innovation, both internal and external. Explore concepts such as super technologies, business model innovation, and developing your innovation pipeline.
Module 7:
Modeling with the Design Structure Matrix (DSM) and Modularization
Learn to construct a DSM, either by analyzing the design or by converting a graph of the system. Construct a process architecture DSM and identify how it is different from a design DSM.
Module 18:
Leading in Innovation
Understand the most important elements of how to innovate. Explore different methodologies such as Lean and Agile for executing innovation, and learn about testing, rapid prototyping, and design to lead innovation within your organization.
Module 8:
Value-Oriented Decision-Making
Understand the process of tradespace exploration by defining value, a key metric by which designs are compared. Develop a model of value by characterizing a design using attributes and organize these attributes into hierarchies for evaluation and summation.
Module 19:
Technical Changes and Its Impact on Organizational Strategy
Recognize the key elements of strategy, the precursors to strategy, and the influence of strategy on products. Analyze the impact of technological changes on organizational strategy and apply strategic thinking for gaining competitive advantage.
Module 9:
Creating AI-Based Products and Services
Get acquainted with the stages involved in the design process for AI-based products and services with a focus on cost metrics and technical requirements of an AI software development plan.
Module 20:
Building High-Performance Teams
Learn how to create, staff, and mobilize the people and resources needed to effectively launch new project teams and improve existing ones. Examine strategies for managing three main types of group conflict: task-related conflict, relational conflict, and process conflict.
Module 10:
Machine Learning
Identify various machine learning algorithms and study the different approaches, such as Bayesian and regression models. Learn about unsupervised and semi-supervised methods of machine learning algorithms. Run and analyze the results from various machine learning algorithms.
Module 21:
New Perspective of Leadership in Technical Teams
Explore different strategies to increase effectiveness and to build teams in a productive way. Learn to architect an effective organization that supports teams and teams' success. Implement post-mortems to capture lessons learned and build future capability in teamwork.
Module 11:
Deep Learning
Building on the knowledge of machine learning fundamentals gained in module 10, explore the basics of deep learning. Topics include neural networks, artificial neurons, and simulation of complex networks.
Module 22:
Navigating and Leveraging Networks
Get introduced to organizational networks and learn about the different categories of networks like social network, closed network, and open network. Identify the key players, their roles, and importance while leading change within an organization.
