Students who will complete this course can achieve the following course learning outcomes (CLOs):
CLO1: Apply AI and machine learning techniques to real-world problems and scenarios.
CLO2: Select appropriate algorithms and models for a given problem and evaluate their effectiveness.
CLO3: Collect and preprocess data, and perform feature engineering to prepare it for analysis.
CLO4: Deploy AI and machine learning solutions in real-world settings, and evaluate their performance.
CLO5: Communicate technical ideas effectively to both technical and non-technical audiences.
CLO6: Work collaboratively in teams to develop and present AI and machine learning solutions.
Real-world AI and ML applications, Case studies of industries Robotics
Case Studies and Real-World Applications is a module in which students learn how artificial intelligence is being applied in various industries and domains. The module focuses on real-world case studies and examples to illustrate the practical applications of AI in fields such as healthcare, finance, transportation, and manufacturing. Students are exposed to examples of how AI is being used to improve efficiency, productivity, accuracy, and decision-making in various industries. They also learn about the challenges and limitations of AI applications in different contexts and how these can be addressed. Through this module, students gain an understanding of the practical implications and potential of AI in different industries and domains.
Introduction to real-world AI and ML applications
Data collection, preprocessing, and feature engineering
Natural language processing for real-world applications
Computer vision for real-world applications
Recommender systems for real-world applications
Robotics for real-world applications
Evaluation and selection of AI and ML models
Deployment and integration of AI and ML solutions
Ethics and social implications of AI and ML
The importance of taking NOC courses:
This course is designed to train our students to find jobs in the Canadian labour market using the National Occupational Classification (NOC) and its codes. The Government of Canada developed the NOC to categorize occupational information in the Canadian labour market through a standardized framework and a system that can be easily managed, understood, and unified. Canadian Immigration (i.e., IRCC) uses the NOC to classify jobs and occupations according to specific skill levels. Canada's jobs are ranked according to a person's work and the roles and responsibilities of the job.
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Prof. Saranya is the Instructor
at NSRIC Inc. She is also the Associate Professor in Computer Science
Engineering (ENG) at Anna University Colleges. In addition to her current
affiliation with NSRIC, she holds freelance faculty positions in some other
universities. Prof. Saranya is the founder of Algorithmics Computing Centre in
India, She has mentored projects under the Smart India Hackathon for various ministries.
She has published journals in reputed articles such as Springer, and many
journals indexed by Elsevier. She has also published books in Amazon like
Octave by examples, Points to Ponder for Python, and so on. She has also
published book chapters about the updating of recent trends by IGI global
publishing. In 12 years professional career, Dr, Saranya has Served on academic
or administrative committees to deal with institutional policies along with preparing
and delivering lectures to undergraduate and graduate students on topics such
as programming languages, data structures, networking, software design, AI,
Blockchain technologies and so on.
Prof. Saranya earned a B.Tech
in Information Technology from Anna University, India in 2009, and an M.E in Software
Engineering from Anna University in 2011. Dr. Saranya was awarded PhD in Information
and Communication Engineering in 2019 and an MBA(Information Systems) degree in
2014 by Bharathiyar University, India.
| Section Name | Lecture Name | Lecture Date | Lecture Time (Toronto, Canada - EST Time) |
Lecture Time (Local Time) |
|---|---|---|---|---|
| Section 1 (Current) | Session 1 | Fri-11-Oct-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
| Session 2 | Mon-14-Oct-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 3 | Tue-15-Oct-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 4 | Fri-18-Oct-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 5 | Mon-21-Oct-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 6 | Tue-22-Oct-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 7 | Fri-25-Oct-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 8 | Mon-28-Oct-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 9 | Tue-29-Oct-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 10 | Fri-01-Nov-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Section 1 (Upcoming) | Session 1 | Fri-15-Nov-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
| Session 2 | Mon-18-Nov-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 3 | Tue-19-Nov-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 4 | Fri-22-Nov-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 5 | Mon-25-Nov-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 6 | Tue-26-Nov-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 7 | Fri-29-Nov-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 8 | Mon-02-Dec-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 9 | Tue-03-Dec-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 10 | Fri-06-Dec-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Section 1 (Previous) | Session 1 | Fri-05-Jan-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
| Session 2 | Mon-08-Jan-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 3 | Tue-09-Jan-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 4 | Fri-12-Jan-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 5 | Mon-15-Jan-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 6 | Tue-16-Jan-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 7 | Fri-19-Jan-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 8 | Mon-22-Jan-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 9 | Tue-23-Jan-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 10 | Fri-26-Jan-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Section 1 (Previous) | Session 1 | Fri-09-Feb-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
| Session 2 | Mon-12-Feb-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 3 | Tue-13-Feb-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 4 | Fri-16-Feb-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 5 | Mon-19-Feb-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 6 | Tue-20-Feb-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 7 | Fri-23-Feb-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 8 | Mon-26-Feb-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 9 | Tue-27-Feb-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 10 | Fri-01-Mar-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Section 1 (Previous) | Session 1 | Fri-15-Mar-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
| Session 2 | Mon-18-Mar-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 3 | Tue-19-Mar-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 4 | Fri-22-Mar-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 5 | Mon-25-Mar-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 6 | Tue-26-Mar-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 7 | Fri-29-Mar-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 8 | Mon-01-Apr-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 9 | Tue-02-Apr-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 10 | Fri-05-Apr-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Section 1 (Previous) | Session 1 | Fri-19-Apr-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
| Session 2 | Mon-22-Apr-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 3 | Tue-23-Apr-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 4 | Fri-26-Apr-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 5 | Mon-29-Apr-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 6 | Tue-30-Apr-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 7 | Fri-03-May-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 8 | Mon-06-May-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 9 | Tue-07-May-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 10 | Fri-10-May-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Section 1 (Previous) | Session 1 | Fri-24-May-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
| Session 2 | Mon-27-May-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 3 | Tue-28-May-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 4 | Fri-31-May-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 5 | Mon-03-Jun-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 6 | Tue-04-Jun-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 7 | Fri-07-Jun-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 8 | Mon-10-Jun-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 9 | Tue-11-Jun-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 10 | Fri-14-Jun-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Section 1 (Previous) | Session 1 | Fri-28-Jun-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
| Session 2 | Mon-01-Jul-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 3 | Tue-02-Jul-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 4 | Fri-05-Jul-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 5 | Mon-08-Jul-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 6 | Tue-09-Jul-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 7 | Fri-12-Jul-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 8 | Mon-15-Jul-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 9 | Tue-16-Jul-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 10 | Fri-19-Jul-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Section 1 (Previous) | Session 1 | Fri-02-Aug-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
| Session 2 | Mon-05-Aug-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 3 | Tue-06-Aug-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 4 | Fri-09-Aug-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 5 | Mon-12-Aug-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 6 | Tue-13-Aug-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 7 | Fri-16-Aug-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 8 | Mon-19-Aug-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 9 | Tue-20-Aug-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 10 | Fri-23-Aug-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Section 1 (Previous) | Session 1 | Fri-06-Sep-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
| Session 2 | Mon-09-Sep-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 3 | Tue-10-Sep-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 4 | Fri-13-Sep-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 5 | Mon-16-Sep-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 6 | Tue-17-Sep-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 7 | Fri-20-Sep-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 8 | Mon-23-Sep-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 9 | Tue-24-Sep-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM | |
| Session 10 | Fri-27-Sep-24 | 09:00 AM to 10:00 AM | 08:00 PM to 09:00 PM |
