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All sessions will take place in Engineering Block G (ENG) and Engineering Block B (ENB). Please click on each session title to get detailed information for that course: abstract, prerequisites, software requirements (if any).
| date and time | ENG 124/130 (Stream 1) | ENB 201 (Stream 2) | ENG 024 (Machine Learning) |
|---|---|---|---|
| Mon 27th morning 9:00am-12:00pm | Bash Scripting and Tools (with intro to ARC) by Alex Razoumov {{beg}} | • 9am-10:15am Introduction to Python by Abed Sarhan {{beg}} • 10:30am-12pm Regression Classifiers with Python by Abed Sarhan {{beg}} |
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| Mon 27th afternoon 1:00pm-4:00pm | Working with Text by Ian Percel {{beg}} | Introduction to Apache Spark by Dave Schulz {{beg}} | Nearest Neighbours in Python with scikit-learn by Jean Auriol {{beg}} |
| Tue 28th morning 9:00am-12:00pm | Introduction to HPC (part 1) by Alex Razoumov {{beg}} | Introduction to C (and pointers) for Python Programmers by Dmitri Rozmanov {{beg}} | Gathering and Using Unstructured Data by ATB Financial {{beg}} {{int}} |
| Tue 28th afternoon 1:00pm-4:00pm | Introduction to HPC (part 2) by Alex Razoumov {{beg}} | Application of Data Science to Finance by ATB Financial {{beg}} {{int}} | |
| Wed 29th morning 9:00am-12:00pm | Scientific Visualization (part 1) by Alex Razoumov {{beg}} | Selected Python libraries for Researchers by Ian Percel {{int}} | • 9am-10:15am Artificial Neural Networks in Python by Yasaman Amannejad {{int}} • 10:30am-12pm ANFIS with Python by Yasaman Amannejad {{int}} |
| Wed 29th afternoon 1:00pm-4:00pm | Scientific Visualization (part 2) by Alex Razoumov {{beg}} | Speeding up Python code with C/C++ by Dmitri Rozmanov {{int}} | Practical Applications of Deep Learning with MATLAB by Reece Teramoto {{beg}} |
| Thu 30th morning 9:00am-12:00pm | Chapel parallel programming by Alex Razoumov {{beg}}{{int}} | R in HPC environment by Mark Lowerison {{int}} {{exp}} | • 9am-10:15am K-means Clustering in Python by Yasaman Amannejad {{int}} • 10:30am-12pm Principal Component Analysis for Feature Selection by Yasaman Amannejad {{int}} |
| Thu 30th afternoon 1:00pm-4:00pm | MATLAB Parallel Computing by Sam Marshalik {{beg}} | Working with spatial data by Ian Percel {{exp}} | Machine Learning: real data issues, how to handle them by Giovane Cesar da Silva {{beg}}{{int}} |
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