Online and Remote Learning

*NEW SHORTENED FORMAT* If you want to learn about the structure of the human body, this intensive, 16-week online human anatomy course could be for you. Included are 17 hour-long video lectures from award-winning professors in the Faculty of Medicine, each covering a different lesson in human anatomy, including examples of medical applications. Assigned readings and problem-solving exercises will deepen your understanding of the human body, from tissues to the body wall and its contained organs, to the structure of our head, neck and limbs. You’ll emerge with a greater appreciation of human anatomy, its complex relationships, and basic clinical applications. Course Details: The course is taught by Faculty members in the Department of Surgery in the Faculty of Medicine at the University of Toronto and is administered through the University’s School of Continuing Studies. It consists of 17 video lectures of approximately 1hour. The course is divided into 2 units. Each unit contains a number of modules. Each module is followed by a multiple-choice quiz designed to provide a pause for you to consolidate and reflect on the information. By the end of this course, you'll be able to: Understand the structure and function of the various tissue types that make up the human body. Explore the structure of the body wall and the organs contained within its cavities, including those of the nervous, respiratory, cardiovascular, digestive, urinary, and reproductive systems.

In this course you will learn to use the techniques of causal machine learning to develop your ability to correctly account for confounders in data analysis, and/or to build intelligent agents that use probabilistic reasoning that is grounded in cause and effect.  You’ll learn to use Pyro, as an example of a modern probabilistic programming library and build agents that can make the best possible decisions in the face of incomplete or uncertain information. By the end of this course, you'll be able to: Understand and apply causal machine learning techniques for accurate confounder management in data analysis. Utilize Pyro, a modern probabilistic programming library, to build intelligent agents capable of reasoning with incomplete or uncertain information. Specify or narrow down possible causal relationships between random variables using probabilistic graphical models and causal models. Predict the effects of interventions and compute counterfactuals to assess causal impacts. Apply causal techniques in practical scenarios, including reinforcement learning, to enhance credit assignment in intelligent agent systems.

Building Automation Systems (BAS) are essential for transparent, reliable and sustainable building systems operation. In this course, you’ll learn to implement and maintain BAS and manage user expectations. You’ll acquire the skills you need to evaluate existing BAS, create clear performance indicators, and apply best practices for preventive and reactive maintenance. You’ll emerge ready to be active participant and leader in the evolution of building management, navigating the complexities of the present while preparing for the transformative potentials of the future. Within 4-6 weeks of successfully completing this course, you will receive your micro-credential indicating achievement of the outlined learning outcomes and competencies/skills. Micro-credentials are tamper proof, verifiable, blockchain-based and 100% digital. They can be shared on social media, including LinkedIn and Facebook, embedded in websites or downloaded as PDFs. By the end of this course, you'll be able to: Apply BAS for cost-effective facility construction, sustainable and reliable operation Communicate concepts related to emerging technologies (i.e., fault detection and diagnostics, Smart buildings, Internet of Things, Artificial Intelligence, and Digital Twin) Differentiate between the requirements of the BAS and building systems (i.e. HVAC) to effectively manage user expectations Evaluate BAS Sequence of Operations (SOO ) for clear and easy-to-understand communication between all stakeholders Apply BAS functionality for preventive, predictive, and reactive maintenance Assess the use of existing BAS technology in innovative ways Implement BAS to evaluate and create building performance KPIs Competencies/skills developed in this micro course include: Process improvement Leading Change Client Focus Effective communication BAS Data Driven Solutions

This course provides learners with an understanding of the principles, methodologies, and practical applications of conducting impact environmental assessments in the context of social, environmental, and economic domains.  In this interactive micro course, learners will explore the theoretical foundations of impact assessment and learn about the different frameworks and approaches employed in assessing impacts of major projects. They will gain insights into the key elements of impact assessment, including scoping, baseline data collection, impact prediction, assessment methodologies, and mitigation strategies. Additionally, learners will examine the legal and regulatory frameworks governing impact assessment processes in different sectors and jurisdictions.  Within 4-6 weeks of successfully completing this course, you will receive your micro-credential indicating achievement of the outlined learning outcomes and competencies/skills. Micro-credentials are tamper proof, verifiable, blockchain-based and 100% digital. They can be shared on social media, including LinkedIn and Facebook, embedded in websites or downloaded as PDFs. By the end of this micro course, you'll be able to: Measure, evaluate and understand significance of impacts, mitigation measures and residual impacts Conduct baseline studies Understand process of the identification and assessment of environmental impacts Evaluate mitigation measures and alternatives     Monitor and review processes Communicate effectively with stakeholders   Measure, evaluate and categorize cumulative impacts                  Competencies/skills developed in this micro course include: Assessing Significance of Impacts Familiarity with International, National and Regional Legislation Climate Change Baseline and Permitting Impacts Mitigation Public Engagement Cumulative Impacts

Unleash the power of data science in the realm of self-driving laboratories. This remote, asynchronous course empowers you to apply data science concepts to materials discovery tasks. You’ll create Bayesian optimization scripts, explore advanced optimization topics, and adapt templates to create an advanced optimization setup for a materials discovery task. Topics will include multi-objective, constrained, high-dimensional, multi-fidelity, batch, asynchronous, and domain-aware Bayesian optimization. Additionally, you’ll learn to share your findings by uploading datasets to a data repository, creating benchmark models, and hosting models on data science platforms. This course is presented in partnership with the Acceleration Consortium at the University of Toronto. This is an online, self-directed course, and you can work through the modules at your own pace. You can expect to complete the course in a month but have up to 1 year to complete it. Within 4-6 weeks of successfully completing this course, you will receive your micro-credential indicating achievement of the outlined learning outcomes and competencies/skills. Micro-credentials are tamper proof, verifiable, blockchain-based and 100% digital. They can be shared on social media, including LinkedIn and Facebook, embedded in websites or downloaded as PDFs. By the end of this micro course, you'll be able to: Describe and categorize a materials discovery task using data science language and concepts Customize a Bayesian optimization script to systematically identify the optimal chocolate chip cookie recipe, demonstrating practical application of optimization techniques Evaluate and select an advanced optimization setup that is best suited for a specific materials discovery task, showcasing critical analysis and decision-making skills Develop and execute a program to upload a dataset to a public database, construct a benchmark model, and deploy it online, illustrating proficiency in data sharing and model hosting Competencies/skills developed in this micro course include: Data science literacy Bayesian optimization Advanced Bayesian optimization Workflow orchestration Benchmarking

Embark on a journey into the world of robotics and automation for self-driving laboratories. This asynchronous, remote course equips you with the skills to control peristaltic pumps, linear actuators, automated liquid handlers, and solid dispensers using a microcontroller, a motor driver, and a workflow orchestration package. You’ll also learn to control mobile cobots and perform spatial referencing and ID recognition via computer vision. The course will conclude with a solid sample transfer workflow using a multi-axis robot. Remotely accessible resources will be provided as necessary. This course is presented in partnership with the Acceleration Consortium at the University of Toronto. This is an online, self-directed course, and you can work through the modules at your own pace. You can expect to complete the course in a month but have up to 1 year to complete it. Within 4-6 weeks of successfully completing this course, you will receive your micro-credential indicating achievement of the outlined learning outcomes and competencies/skills. Micro-credentials are tamper proof, verifiable, blockchain-based and 100% digital. They can be shared on social media, including LinkedIn and Facebook, embedded in websites or downloaded as PDFs. By the end of this micro course, you'll be able to: Design and execute software to manage a peristaltic pump’s operations using a microcontroller and motor driver, demonstrating application and integration skills Construct the “Digital Pipette” and develop software to manipulate the linear actuator, showcasing capabilities in hardware assembly and software programming Operate an automated liquid handler, such as Jubilee or Opentrons, to accurately transfer liquid between vials, demonstrating proficiency in laboratory automation techniques Exhibit the ability to control a mobile collaborative robot (cobot) using the ROS framework, reflecting advanced understanding and operational skills in robotics Showcase the use of OpenCV and AprilTags for spatial referencing and ID lookup, illustrating advanced skills in computer vision and object identification Configure and utilize ROS, AprilTags, and a multi-axis robot to execute solid sample transfers, demonstrating integrated skills in robotics programming and operation Competencies/skills developed in this micro course include: Motor drivers Serial communication Automated liquid handlers Robotic control Robotic simulation Computer vision Automated solid handlers

Elevate your software development skills in the context of self-driving laboratories. This asynchronous, remote course introduces software development concepts and best practices and productivity tools such as integrated development environments (IDEs) with VS Code, unit testing with pytest, continuous integration via GitHub actions, and documentation creation using Sphinx and Read the Docs. You’ll also learn to deploy materials discovery campaigns on cloud servers or dedicated hardware and run offline simulations using cloud hosting. This course is presented in partnership with the Acceleration Consortium at the University of Toronto. This is an online, self-directed course, and you can work through the modules at your own pace. You can expect to complete the course in a month but have up to 1 year to complete it. Within 4-6 weeks of successfully completing this course, you will receive your micro-credential indicating achievement of the outlined learning outcomes and competencies/skills. Micro-credentials are tamper proof, verifiable, blockchain-based and 100% digital. They can be shared on social media, including LinkedIn and Facebook, embedded in websites or downloaded as PDFs. By the end of this micro course, you'll be able to: Enumerate and explain software development best practices along with their corresponding benefits, demonstrating understanding and recall Identify and evaluate various productivity tools for developers, highlighting how they enhance efficiency, to demonstrate analytical and selection skill Compose and execute unit tests using pytest to validate code functionality, demonstrating application and analysis skills in software testing Generate comprehensive Python documentation utilizing Sphinx and Read The Docs, illustrating proficiency in documentation practices and tools Design and deploy a continuous integration (CI) pipeline using GitHub Actions, showcasing the ability to integrate and automate software development processes Construct a reusable project template using PyScaffold, demonstrating skills in enhancing project setup efficiency and standardization Initiate and manage a cloud or local hardware server to execute a materials discovery campaign, demonstrating capabilities in server management and deployment for scientific computing Set up and execute an offline simulation on a cloud hosting service, illustrating the ability to leverage cloud resources for complex computational tasks Competencies/skills developed in this micro course include: Software development literacy Version control Unit testing Documentation Compute hardware Cloud computing

Many people aspire to become top performers, but only a few succeed. In this course, you’ll discover proven principles and strategies to help you develop a more collaborative thinking style and growth mindset. You’ll use attentive listening to increase self-awareness and demonstrate your commitment to participation and positivity. You’ll build relationships so you can assess needs, map resources, leverage feedback and handle adversity. By choosing to embrace failure, you’ll increase your chances for success while learning to manage your reputation. Within 4-6 weeks of successfully completing this course, you will receive your micro-credential indicating achievement of the outlined learning outcomes and competencies/skills. Micro-credentials are tamper proof, verifiable, blockchain-based and 100% digital. They can be shared on social media, including LinkedIn and Facebook, embedded in websites or downloaded as PDFs. By the end of this micro course, you'll be able to: Recognize opportunities for self awareness through attentive listening Choose to embrace failure Demonstrate a commitment to participation Assess needs and mapping resources effectively Design processes for valuing contributions Competencies/skills developed in this micro course include: Empathy Positivity Social Consciousness Relationship Building Collaboration

Conflict is inevitable in business. In this interactive course, you’ll learn how to turn that from a negative into a catalyst for positive change. You’ll use group exercises and role-play to become more adaptable and approach conflict more effectively. You’ll explore best practices in communication that strengthen your leadership and negotiation skills. You’ll emerge better equipped to coach employees, analyze the needs of diverse audiences, and create effective and inclusive narratives that persuade them to see your point of view. Within 4-6 weeks of successfully completing this course, you will receive your micro-credential indicating achievement of the outlined learning outcomes and competencies/skills. Micro-credentials are tamper proof, verifiable, blockchain-based and 100% digital. They can be shared on social media, including LinkedIn and Facebook, embedded in websites or downloaded as PDFs. By the end of this micro course, you'll be able to: Recognize and chart observations for delegation Develop strong diction, tone and vocal variance Analyze audiences with diverse needs and/or backgrounds Design effective and agile narrative structures Define and prioritize objectives in preparation for negotiation Competencies/skills developed in this micro course include: Coaching Persuasion Inclusion Storytelling Conflict Management

This course is dedicated to disrupting entrenched patterns of thinking and behaviour that adversely affect business outcomes, underutilize talent, and lead to resource wastage. You will learn to develop a self-disciplined mindset that emphasizes proactive action over passivity and effectively minimizes risks at the individual, team, and organizational levels. Through the power of critical, creative and collaborative thinking, you will be empowered with strategies and insights to break free from limiting habits, fostering a culture of dynamic and responsible decision-making that drives success in the business environment. By the end of this micro course, you'll be able to: Demonstrate an ability to imagine, and play Understand the process and power of logical reasoning Explain your choices in processing information Perform effective searches using diverse sources Define the parameters and goals of the problem Competencies/skills developed in this micro course include: Creativity Critical Thinking Data Driven Decision Making Digital Literacy Problem Solving