Online and Remote Learning

If you want hands-on experience in digital mapping and basic spatial analysis using Geographic Information Systems (GIS), this online course is for you. You’ll start with foundation concepts such as digital data, scale and map projections, then learn to input and store data, create maps and analyze geographic problems. Blending theory and practical skills development, you’ll explore a real case study that applies high-resolution aerial photography and the latest GIS techniques to determine whether brownlands in Toronto are suitable for reclamation and residential development. Acquire and input data from a range of sources. Create and edit data using different file formats. Store spatial data in geodatabse and run queries from tabular or spatial data. Perform basic types of vector spatial analysis such as map overlay. Design a quantitative map to communicate analysis results. Approach a GIS-related problem with confidence, knowledge and skill.  

Build on your knowledge of GIS-based spatial analysis and data modelling for environmental management in this advanced course. You’ll delve into techniques and functions that yield better analysis of spatial data. You’ll learn patterns and processes that underpin features in spatial databases. You’ll analyze indicators of environmental risk, create and analyze three-dimensional surfaces, visualize geospatial data clearly, and understand point patterns and spatial autocorrelation. You’ll emerge better prepared to implement GIS-based analysis and modelling, and manage projects that use them. Make informed decisions about solving any GIS-related problem Use the right geoprocessing tools for each situation, in the right order. Visualize surfaces using 3D terrain analysis, and explore relationships between land cover, elevation, slope and aspect. Understand advanced GIS concepts and theory, such as spatial autocorrelation. Apply spatial-analysis and data-modelling skills to environmental management.

Broaden your knowledge of Remote Sensing (RS) concepts and environmental applications in this advanced course. You’ll process and analyze remote sensing images and learn advanced techniques now used in environmental research and applications. You’ll use hyperspectral, LiDAR and RADAR datasets to study land, ocean and atmospheric processes. You’ll get more hands-on experience processing digital images and applying various image analysis packages. You’ll learn how RS sensors detect, extract and evaluate quantitative information about different objects on earth, and how to use this information to map environmental changes.

Learn to apply remote sensing (RS) data and techniques to environmental studies. In this course, you’ll discover how to acquire, enhance and analyze satellite images. You’ll work with various image analysis techniques related to environmental applications. You’ll learn how to map and monitor Earth's natural resources by measuring and interpreting images collected in different spectral zones and time periods. You’ll  analyze multispectral images using image proccessing software to learn more about diverse objects on the Earth's surface. Understand fundamental principles of electromagnetic radiation and how it’s measured. Know how different satellite and airborne RS systems work. Enhance, evaluate and correctly interpret RS data. Use image processing software to run basic operations with RS images. Apply RS observations, techniques and analysis to real-world environmental issues.

This course is for you If you've successfully completed the SCS Korean Level IV or have the equivalent language skills, this course will help make your speech more precise and complex. This course is designed for early-intermediate level learners (between A2 and B1 on the CEFR grid). You'll be able to discuss everyday life issues with greater confidence and express your point of view. You'll improve the precision of your speech, learn how to make subtle statements, and gain confidence discussing and analyzing issues.   Reinforce overall proficiency in everyday language. Increase your knowledge of Korean language etiquette. Gain a more thorough command of grammar, syntax and vocabulary.

This is the third step in the Certificate in Creative Writing poetry stream. Weekly workshops and a focus on craft, technique, and poetic forms will be explored. Grow your portfolio of polished work and gain a deeper understanding of poetic process as you develop and strengthen your writing practice. Further develop your poetic voice and style. Express and demonstrate your artistic interests as you expand your poetry repertoire. Get constructive instructor and peer feedback on your work. Expand and strengthen your portfolio of poems.

Extend your knowledge and understanding of Machine Learning to Deep Neural Networks. In this course we will cover the theory and practice of modern neural nets through a series of exercises and examples in different domains. You will build your own algorithms to classify images, perform rudimentary language translation and generate synthetic images or music. Know the theory and practice of modern neural networks. Use Tensorflow2 to create and train deep neural networks Tuning deep neural networks for different tasks  Understand the difference between various network architectures like CNN, RNN, transformer and generative algorithms Apply deep-learning network architectures to solve a range of problems- e.g.  classify images, predict trends and generate artworks    

Modern Artificial Intelligence (AI) systems often combine techniques from many sub-disciplines: Machine Learning, Deep Learning, Reinforcement Learning, Planning, Intelligent Agents, etc. In this course, you’ll build your knowledge of techniques that can be built into AI’s that allow them to reason about their current situation and plan their next move. You’ll build AIs that can learn to play games and need to trade off exploiting strategies they already know are useful vs. exploring new strategies that may be even better. You’ll be ready to apply these techniques to solve real world problems such as finding adaptive strategies for dealing with difficult customers or optimizing use of parking spaces. By the end of this course, learners will be able to: Create your own system of intelligent software agents Use constraint solvers to find solutions to difficult problems Use increasingly rich forms of logical inference to enable the agents to make decisions that will help them achieve the goals you’ve set out for them Use probabilistic reasoning to allow them to make decisions with incomplete information Use Reinforcement Learning to enable the agents to learn winning strategies for themselves while exploring the environment they find themselves in Combine these techniques and apply them to industrial, scientific or business challenges

This course teaches you the design, application and maintenance of flat roofing systems. You will learn why some roofs fail, define the necessary scope of repairs and predict the probable performance and service life of the roofing system. Topics include alternative roofing systems (including green roofs), material selection, design and application considerations, historical perspectives, drainage and penetrations.   The course material covers part of the Examination Learning Objectives of the Building Envelope Systems Exam conducted by Building Science Specialist Board of Canada (BSSB) for the Building Science Specialist (BSS®) designation. Understand and describe the historical evolution of roofing systems. Design, apply and maintain appropriate flat roofing systems. Select roofing systems and materials based on every relevant aspect of building design. Choose the right drainage system. Prepare to write the Building Envelope Systems Exam- Roofing portion- for BSS®

Walls and windows function together as part of a building envelope. This course will teach you industry best practices on how it's done. You'll learn how different assemblies work, including solid masonry walls, cavity walls, exterior insulation and finish systems (EIFS), wood and precast concrete walls and curtain wall systems. Case studies will illustrate issues such as thermal and moisture performance, air leakage resistance, durability, maintenance, life-cycle cost, fire safety, environmental impacts and low-energy building design using passive solar strategies.   The course material covers part of the Examination Learning Objectives of the Building Envelope Systems Exam conducted by Building Science Specialist Board of Canada (BSSB) for the Building Science Specialist (BSS®) designation. Understand key performance, maintenance and life-cycle cost indicators and how they're applied to building construction cladding. Choose the right wall and window systems for contemporary buildings. Understand how and why different structural elements are used in masonry buildings. Understand environmental requirements and their impact on costs. Use your knowledge of durable wall design and construction to design wall and window systems. Prepare to write the Building Envelope Systems Exam -Wall & Windows- for BSS®