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YCNG 230 Intelligent Agents & Reinforcement Learning (6 CEUs)
Intelligent agents are programs that can be applied to autonomously solve real-world optimization and planning problems, as well as help deal with incomplete information or uncertain environments. Reinforcement Learning is an approach to build goal-oriented intelligent agents, which help find strategies to optimize a desired outcome. In this course, students will explore the development of intelligent agents using different techniques, algorithms and approaches; the design and implementation of systems that exhibit intelligent behaviour through an end-to-end project; practical application of the most current programming tools, search methods, knowledge representation using logic and probability, planning and decision making under uncertainty and constraint satisfaction problems; reinforcement learning fundamentals including design of intelligent agents and integration with deep learning.
YCNG 231 Deep Learning for Computer Vision (6 CEUs)
Computer vision is one of the fields of study, which has benefited tremendously from the latest advancements in artificial intelligence. Computer vision is concerned with helping machines learn to “see” and understand the context of their environment. It involves acquiring, processing, transforming, modifying, analyzing and understanding digital images or videos. The result is the extraction of data needed to understand the content of digital images, infer something from the environment, thus allowing complex decisions to be made. In this course, participants will learn more about computer vision from acquisition of image data to complex decision-making using deep learning methods and techniques. Image acquisition through sensors; feature detection; image classification, detection, segmentation. Convolutional Neural Networks (CNN) architectures and their applications. Most current computer vision applications, libraries and image databases will be explored.
YCNG 232 Natural Language Processing Fundamentals (6 CEUs)
Natural Language Processing (NLP) is a subfield of artificial intelligence concerned with the ability of computers to process, understand and interpret human languages. Deep learning has revolutionized NLP by improving many aspects of the field since its transition from classic linguistic approaches. This course will provide an overview of Natural Language Processing fundamentals such as language models, word embeddings, Recurrent Neural Networks (RNNs), wide variety of applications of neural networks in NLP, intrinsic and extrinsic evaluation, most current NLP tools.
YCNG 233 Time Series Analysis Fundamentals (6 CEUs)
Time series is an area of machine learning concerned with the analysis of series of data points ordered in time. Time series analysis is used in many fields to predict trends: from industrial machinery data, smart home, precision agriculture, cyber security, customer usage/engagement, marketing, asset management, finance, etc. Due to the temporal aspect of the data, time series data require specific preprocessing, feature engineering, algorithms, and validation strategy. This course will dive into the fundamentals of applying artificial intelligence techniques on time series data, statistical, machine and deep learning models for time series. Emphasis is placed on the main applications of time series analysis: forecasting, clustering and anomaly detection. Data science techniques applicable to time series. Deep learning methods, rolling predictions, online learning, backtesting.
YCNG 234 Internet of Things (5 CEUs)
The Internet of Things (IoT) is an important source of relevant data for different industries. It permits to collect and process information about the physical world in real time. This course will examine applications of IoT, the fundamental technologies that support IoT devices and the transmission, processing, the analysis of the data they generate, and the fundamental software and hardware technologies that support IoT devices; data transmission protocols; tools to process the data generated by IoT devices; data analysis techniques that enable common applications related to IoT devices.
YCNG 235 Recommender Systems (6 CEUs)
Have you ever wondered how the message: “Customers like you also purchased the following items…” appears on your screen when you are shopping online? Recommender Systems use machine learning algorithms that help users discover new products and services. There exists a wide spectrum of recommender systems applications that help users choose movies, restaurants, music to listen to, jobs to apply to, products to purchase, social media profiles, among many others. This course will explore fundamental concepts and techniques in recommender systems: similarity models, non-personalized, content-based, and hybrid systems; association rules mining; collaborative filtering: user-, item-, and graph-based models; matrix factorization; graph recommenders, sequential recommenders, evaluation of recommender systems.
YCNG 299 Project Management Capstone (5 CEUs)
Integration of all the knowledge and skills acquired during the course of study in the Project Management program. Team project under the guidance of a course lecturer to apply project management methodologies, tools and techniques in practice. Develop and present a complete project plan and recommendations to help a non-profit community or public sector organization achieve a specific goal.
YCOFR 110 YCOFR 110
French for Healthcare Professionals Online: Basic is designed for current or future health care professionals who wish to improve their communication skills in French. The workshop focuses on oral skills necessary to function effectively and professionally in real-life healthcare settings. It is composed of four learning modules, each with approximately six hours of learning time.
YCOFR 210 YCOFR 210 - French for Healthcare Professionals Online: Elementary
French for Healthcare Professionals Online: Elementary is designed for current or future health care professionals who wish to improve their communication skills in French. The course focuses on oral skills necessary to function effectively and professionally in real-life healthcare settings. It is composed of four learning modules, each with approximately six hours of learning time.
YCOFR 310 YCOFR 310 - French for Healthcare Professionals Online: Low Intermediate
French for Healthcare Professionals Online: Low Intermediate is designed for current or future health care professionals who wish to improve their communication skills in French. The course focuses on oral skills necessary to function effectively and professionally in real-life healthcare settings. It is composed of four learning modules, each with approximately six hours of learning time.
YCOFR 340 YCOFR 340 - French for Healthcare Professionals Online: High Intermediate
French for Healthcare Professionals Online: High Intermediate is designed for current or future health care professionals who wish to improve their communication skills in French. The course focuses on oral skills necessary to function effectively and professionally in real-life healthcare settings. It is composed of four learning modules, each with approximately six hours of learning time.
YCOFR 410 YCOFR 410 - French for Healthcare Professionals Online: Advanced
French for Healthcare Professionals Online: Advanced is designed for current or future health care professionals who wish to improve their communication skills in French. The course focuses on oral skills necessary to function effectively and professionally in real-life healthcare settings. It is composed of four learning modules, each with approximately six hours of learning time.
YCOPD 001 Introduction to Post Traumatic Stress Disorder
Live Online
This online course allows participants to gain fundamental knowledge about post-traumatic stress disorder (PTSD) as described in DSM‐IV‐TR . Participants – professionals or students in mental health – will learn how to recognize the symptoms associated with PTSD and assess their frequency and intensity. This course also allows participants to familiarize themselves with the concepts of distress and peritraumatic dissociation.
YCOPD 002 Project Management: Practice & Certification
Intensive, Live Online, Part-time
Learn at your own pace – anywhere you go, at any convenient time. Whether you need to understand the fundamentals or intend to choose a career in project management, this online course is a great place to start!
YCPD 003 Agile Project Management: Practice & Certification Preparation (5.0 CEUs)
Overview of agile project management concepts, practices, processes, and methods. Agile mindset, values, ethics, and conduct. Organizational factors and implementation of agile practices. Agile Scrum framework. Agile communication, collaboration, and team coaching. Access to PMI-ACP-style exam questions to assist with preparation for the Agile Certified Practitioner (PMI-ACP)® examination administered by the Project Management Institute (PMI).
YCTEN-EPT English Entrance Placement Test (EPT)
In-class
In order to begin studying in the Certificate of Proficiency – English for Professional Communication, all new students (except for the beginners level) are required to take the Entrance Placement Test (EPT). Test results are used to evaluate the student’s current level of proficiency in our program structure. Students can take the test only once per session and the results are valid for one year only.
YCTEN-OWE Placement Test of Written English
Live Online
All students who wish to register for the Written English for Workplace Communication course must first complete an online placement test of written English. The test will evaluate your proficiency in written English and will determine your level within our program's structure. Students have 90 minutes to complete the test, which consists of three parts: Part 1 - The sentence (answering questions) Part 2 - The paragraph (writing an email) Part 3 - The text (writing a letter) Once you have registered you will receive an email confirming your participation and providing detailed instructions on how to access the test. The placement test takes place online and can be done at any time during the active testing period. Test results are valid for one year. Students can write the test only once per session.
YCTFR-EPT French Entrance Placement Test (EPT)
In-class
In order to begin studying in the Certificate of Proficiency – French for Professional Communication, all new students (except for the beginners level) are required to take the Entrance Placement Test (EPT). Test results are used to evaluate the student’s current level of proficiency in our program structure. Students can take the test only once per session and the results are valid for one year.
YCTFR-OWF Placement Test of Written French
Live Online
All students who wish to register for the Written French for Workplace Communication course must first complete an online placement test of written French. \r The test will evaluate your proficiency in written French and will determine your level within our program's structure. Students have 90 minutes to complete the test, which consists of three parts: Part 1 - The sentence (answering questions) Part 2 - The paragraph (writing an email) Part 3 - The text (writing a letter) Once you have registered you will receive an email confirming your participation and providing detailed instructions on how to access the test. The placement test takes place online and can be done at any time during the active testing period. Test results are valid for one year. Students can write the test only once per session.
YCTSP-CSP Spanish Classification Test
All applicants are required to take the Classification Test before they can register. Only true beginners can enter directly into Level 1 without having to take the test. The Classification Test lasts approximately one hour. It is free of charge. An appointment is not necessary and results are available one week after the test date.

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