15 Free Online Courses You Can Take at The University of Toronto.

The University of Toronto is world-renowned and famous for inspiring ambitious students. U of T is considered one of the best places you can study, either on their campus offline or Online. Their Online courses cover a wide range of subjects, they offer free online courses in Medicine, Art, Social Science, Computer Science, etc.The University of Toronto provides students with a variety of learning opportunities, including online learning. Several undergraduate courses are now available online. These online courses are available to all students at the university.

About the Institution

The University of Toronto was established in 1827 and has contributed to global economic growth and the social well-being of society through innovation, excellent research, and entrepreneurship. With about 80,000 students,150+ librarians, Staff strength of 6,000.The University runs more than 500 bachelor’s degrees, 150 master’s programs and 40 professional programs. U of T is regarded as one of the most significant and prominent centres for higher learning and cutting-edge research worldwide. Its capabilities cut across many academic fields; the University of Toronto is ranked with Stanford, UC Berkeley, UCLA, Columbia, Cambridge, Oxford, the University of Melbourne, and others in the 2012–13 Times Higher Education list.The five most closely followed international rankings, including those by U.S. News & World Report’s Best Global Universities, Times Higher Education’s World University Rankings, QS World University Rankings, ShanghaiRanking Consultancy’s Academic Ranking of World Universities, and National Taiwan University’s World University Rankings, U of T continues to be among the top public universities in the world.

The Following are 10 Free Online Courses available at the University of Toronto

While some of these courses have instructors, others do not, learners have to study at their own pace and cover the course requirements within the stipulated time for the course. The free online courses can be accessed on Coursera and edX. This online course is a comprehensive course that will take approximately 8 months to complete, you are expected to study for at least 2 hours per week. The Course has been divided into 4 parts known as Bioinformatic Methods 1-4. You can take one or all of these courses, it depends on how much you are willing to know. With this course, you will gain knowledge in the following areas:

• Genetic Analysis.
• Bioinformatics Analysis.
• Evolution.
• Comparative Genomics.

Quantum Machine Learning is a 9-week self-paced course that will demonstrate the advantages that existing and emerging quantum technologies can offer to machine learning, it emphasized algorithms that are difficult to implement on classical digital computers. To take this course, you need to have background knowledge in the following subjects: calculus, complex numbers, Linear algebra, and intermediate Python. It is equally necessary to know either of the following; machine learning statistical mechanics, or quantum physics.

With this course, you will be able to differentiate between quantum computing paradigms relevant to machine learning. You will also know the benefits of machine language for using quantum resources. Additionally, you learn how to assess expectations for quantum devices with several time scales.Apply Here

6. Learn to Program: The Fundamentals:

In addition to teaching you how to use the Python programming language, this course presents the fundamental concepts of programming. It is a free 25 hours course available on Coursera, it introduces you to the basics of programming.This course will expose you to the following :

• Python Syntax And Semantics
• Computer Programming
• Python Programming
• Idle (Python)

Apply Here

7. The Social Context of Mental Health and Illness:

The Social Context of Mental Health and Illness has to do with the way mental health is being approached by society and its influence on social development in North America and worldwide.In this course, you will study the various aspects of mental health and illness from historical contexts and their connections to societal problems. The core aspects that would be studied in the course are:

• History of Madness
• Causes of Mental illness
• Diagnosis of Mental illness
• Treatment of Mental illness in a social context.
• Culture and Mental Health Illness.

8. The Arts and Science of Relationships: Understanding Human Needs:

This course provides an introduction to the fundamentals of strategies and skills learning and development system(SSLD). It would equally examine the importance of SSLD to every day relationships for those who work in the fields of social work and health care.Also, it will expose learners to the major competencies in the application of the SSLD system(simulation, review, monitoring, observation learning, real-life implementation )to relationship management. The skills you will develop upon course completion are:

• Assertiveness
• Psychology
• Building Relationships
• Communication

Apply Here

9. Death 101: Shaping the Future of Global Health:

This course on shaping the future of global health was designed to enable people to study the dead thereby analyzing the world’s biggest health problem and investigating the causes of death.At the end of the course, you will understand:

• How to measure causes of death;
• The major factors that drive changes in human health.
• Non-communicable Diseases.
• The causes of death globally.
• Common risk factors for health and disease.
• Importance of death statistics for Global Health.
• How to measure causes of death

Apply Here

10. Communication Strategies for a Virtual Age:

The next course on the list of free online courses you can take at the University of Toronto is Communication Strategies for a Virtual Age. This course will last for 4 weeks if you dedicate 7-8 hours in a week you will be able to complete it. By the end of the course, you will be able to apply the right communication technique and use a science-based approach to make powerful presentations.

Before you enrol for this course make sure you have access to a computer or phone with a clear camera and speaker, during the course, you have to record yourself while talking. Apply Here

11. Introduction to Self-Driving Cars:

This free online course is a 7-week course and it contains 7 modules. Introduction to self-driving cars is the first course in the Self-Driving Cars Specialization. You will learn the terms, design factors, and safety evaluation of self-driving automobiles(cars) in this course. With this course, you will be introduced to the commonly used hardware for a self-driving car, and discern the components of the software stack.Introduction to the self-driving course is designed for learners with existing knowledge in mechanical engineering, robotics or computer and electrical engineering. So before you register for this course, ensure that you have background knowledge of Statistics (Gaussian probability distributions), Python 3.0 programming, Statistics Calculus, Physics (forces, moments, inertia, Newton’s Laws) and Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vector inverses).Apply Here

12. Introduction to Swift Programming

This is a 5 weeks course designed by the University of Toronto. It is the first of a four-part specialization course titled iOS App Development with Swift Specialization. This course will expose you to the development of an iOS application from scratch. Additionally, you will master the application of programming in swift and become proficient with a powerful new programing language for IOS.You will also be exposed to syntax, memory management, functional management, object-oriented principle and more concepts in programming.The most suitable means of taking part in this course is through a Mac computer. You can equally use an iPod, iPad or iPhone.Using a PC is not recommended because the course was designed and tested on a Mac.Apply Here

13. Learn to Program: Crafting Quality Code:

This course focuses on how to write quality code that works efficiently. It will concentrate on creating high-quality, reliable code in this course. You will also learn how to compare programs that are tackling the same problem as well as design, write, and evaluate our programs. The following is what you will benefit from this course:

• Software Testing
• Unit Testing
• Python Programming
• Object-Oriented Programming (OOP)

Apply Here

14. Gender Analytics for Innovation

Another interesting course you can offer at the University of Toronto is Gender Analytics. It is a way of analyzing your products, services, processes and policies with a gender lens to uncover hidden opportunities for innovation and effectiveness.Additionally, you will build fluency in important concepts of Gender Analytics, this include the language associated with gender, sex, intersectionality and gender identity. You will also learn how to examine potential ways to use gender analytics to promote inclusive innovation, particularly in areas that are not typically thought of as being gendered. And lastly, the course will help you find ways to strengthen your organizational and personal skills so you can effectively do intersectional gender analytics.By taking this free online course, you will identify the products, services and policies that create unequal impacts. You will also learn to be able to gain knowledge in areas like:

• Gender-Based Analysis
• Intersectional Analysis
• Business Analytics
• Leadership Development
• Innovation

Apply Here

15. Knowledge and Skills for Dementia Care: The SSLD Approach:

Lastly, Knowledge and skills for dementia care is a free online course that seeks to educate people about dementia using the SSLD approach. This means learners will be exposed to dementia and its care from different areas, including, in-home support, community care and long-term care. In other words, you will learn how to support patients with dementia in various settings, either in institutionalized residential care, Home caregiving, or community services.Each section of the course will expose you to adequate practical knowledge about dementia and its care. To this effect, the course introduces renowned practitioners and researchers who will be sharing their expertise and experience on dementia and other related topics like advanced care planning, senior care models, management of behavioural and psychological symptoms of dementia, elder abuse, legal issues, sexuality and intimacy, principles of designed space and ageing-in-place, consent and capacity, substance use and addiction in older adults with dementia, etc.

In Conclusion

The free online courses that you can take at the University of Toronto are well structured to help you understand each concept. There are some courses on this list that you can’t complete unless you take the whole series which of course is not compulsory. If you complete the first part successfully you can decide to go on to the next if the concept interests you. Aside from these free courses, you can study a degree course with the University of Toronto online.