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Catalogue des cours


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YCMS 184 The Origins of Canadian and American Music
Automne 2019
The origin of American Roots music goes back to Woody Guthrie and Pete Seeger. Folk music from this era became the anthem for many social movements in the US. From Joan Baez to John Denver and Buddy Holly in the US, and from Zachary Richard to Ian and Sylvia and the Rankins in Canada, this music defined an era. Songs from this heritage will be discussed ... and then sung. Lyrics will be made available and the entire group will be encouraged to join in.
YCMS 185 Music Masterpieces of Brahms and Mahler
Automne 2019
This study group will highlight the major compositions of Johannes Brahms, composer and pianist, and Gustav Mahler, composer and conductor. Brahms and Mahler are considered to be the musical giants of the Romantic Era, each with his own unique sound. Brahms was a Classicist in the second half of the 19th century, and Mahler bridged the Late Romantic Period with early 20th century Modernism. Brahms was also a prolific composer of piano works, and Mahler was renowned for his epic song cycles. Join me in listening to this treasure trove of musical excellence and diversity.
YCMS 186 Three Devils, Two Ghosts and a Demon - I
Automne 2019
Can opera portray the powers of evil and the supernatural? We’ll look for answers in Gounod’s Faust, Berlioz’s The Damnation of Faust, Boito’s Mefistofele, Rubinstein’s Demon, and Britten’s The Turn of the Screw. While no presentations are required, discussion will be strongly encouraged.
YCMS 187 Three Devils, Two Ghosts and a Demon - II
Automne 2019
Repeat of Three Devils, Two Ghosts and a Demon – I. See description above.
YCMS 188 Textiles
Automne 2019
Textiles are all around us - in the clothes we wear, our household linens and soft furnishings, the interiors of cars and in artworks. What unfair labour practices are common in the textile industries? Why did Gandhi carry a spinning wheel? Who were the earliest humans to wear clothes? How has clothing changed throughout history? What is the history of the garment trade in Montreal? What new textiles are on the horizon? What kinds of pollution result from the manufacture and use of textiles? Participants are expected to give 30-40 minute presentations and to contribute to discussions.
YCMS 189 Weather
Automne 2019
Although we are all familiar with the concept of climate change and the associated ecological and societal implications, how well do we understand the factors that determine our weather? We will examine these atmospheric factors from both a scientific and a historical point of view. All participants are expected to make a presentation of 20 to 30 minutes and take part in discussion. A list of suggested topics will be available in advance from the moderators.
YCMS 190 Finding and Evaluating Information on the Internet
Automne 2019
We all use the Internet to get news and advice, to find answers to questions, to buy stuff and more. However, the results of our online searches are not always of the best quality. There’s more information out there than what we see, and what we get is often not accurate, objective or trustworthy. This study group is intended for the less digitally savvy, and will cover the basics of Internet searching and how to critically evaluate the results. The moderator will present the many varieties of online truth, such as biased and fake news, fraudulent product reviews and hyped or pseudo medical studies.
YCMS 191 Impacting Social Issues: Making Change Happen
Automne 2019
Working together, we will compile a list of topical social issues that we would like to see resolved. Participants will present a topic of their choice and look at possible solutions (tried or not). The first session will be the loss of jobs due to technology and possible solutions. Other topics could include body image as a major source of depression, and information overload. Feel free to be creative, the list is vast.
YCMS 193 Making a Presentation
Automne 2019
So, you have to make a presentation, or perhaps, you would like to participate more fully and confidently in your MCLL study group. This workshop will lead you through the basic steps of understanding a communication model, organizing your material and delivering it with ease. “Learn by Doing” is the method we will use; therefore, some homework will be required so that we can pack a lot of activity into a 5-week session. Class Maximum 12.
YCMS 194 So You Want to Travel the World
Automne 2019
The Workshop leader invites you to meet every two weeks with a group of travellers or would-be travellers to share their experiences, plans and apprehensions concerning global travel. Topics will include group versus independent travel, how and when to book airfare, comparing similar tours, safety considerations and handling of various foreign currencies. We will also cover car rentals, travel insurance, booking accommodations, solo travel, packing tips and suggestions for getting the most bang for your travel buck.
YCNG 223 Strategic Project Leadership (4 CEUs)
By using a practical real-life case study approach, this course addresses the key leadership challenges facing those responsible for delivering projects. How to go beyond traditional methods in project management by employing an adaptive and strategic approach that focuses on achieving business results. Emphasis on what it takes for an organization to deliver successful projects and programs. Synthesis of the project management knowledge and skills acquired throughout the courses of the Professional Development Certificate in Project Management.
YCNG 224 Agile Project Management (4 CEUs)
Gain the knowledge and skills required to manage and deliver projects by using agile teams and applying agile concepts, methodologies and best-practices. Agile approach, largely developed and tested on software development projects, is now being successfully applied to projects of all sizes and types in various industries.
YCNG 226 Comprehensive Project Management: Planning and Initiation (8 CEUs)
Project definition and initiation; time/cost/scope/resource trade-offs; scheduling techniques and tools; resource allocation; cost estimating; traditional and agile approaches; stakeholder communication; team building; roles, responsibilities and skills; risk assessment and strategy; collaboration tools.
YCNG 227 Comprehensive Project Management: Execution and Delivery (8 CEUs)
Project monitoring and reporting progress; project tracking applying traditional and agile techniques; review meetings; team dynamics in both face-to-face and virtual settings; earned value reporting; problem detection and solving; Project Evaluation and Review Techniques (PERT) estimating and quantitative risk analysis; conflict resolution; people management; team leadership and motivation; work delegation; schedule crashing; project closure with focus on maximizing value.
YCNG 228 Predictive & Classification Modelling (6 CEUs)
Predictive modelling is a process that uses data and statistics to predict outcomes using data models. These models are used to detect fraud, optimize marketing campaigns, reduce risk, manage resources and improve operations. This course will familiarize students with how to design experiments and optimize ML models and interpret their output. Students will test hypotheses by using different techniques, design experiments, use machine learning algorithms to evaluate the output of different machine learning models, and explore methods to increase precision and/or accuracy.
YCNG 229 Neural Networks & Deep Learning (6 CEUs)
Artificial neural networks are a set of algorithms, inspired by the way human brain processes information, which are designed to recognize patterns. Deep learning is one of machine learning methods based on artificial neural networks. Neural networks and deep learning offer the most powerful techniques to deal with different aspects of data science such as natural language processing, computer vision and time series analysis. Building on the knowledge and skills acquired during YCBS 258 Practical Machine Learning course, this course will focus on the practical application of neural network models with the objective to develop students’ ability to implement them using Python and Keras.
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.


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