Consent in Every Corner: Respecting Boundaries Across Campus
Consent is a key part of all social interactions and healthy relationships. This is true for friends, family, lovers, acquaintances, coworkers, classmates, and people we don’t know yet! Making consent a priority is about respect for each other, safety for each other, and building a healthy community.
Vagabond Productions Presents Two One-Act Plays
Vagabond is presenting . . . destroyed surely: An Evening of Plays by John Millington Synge, from March 12 to 15 inclusive in the UPEI Performing Arts Centre and REsidence (PAC121S). The doors open at 7:00 pm for a 7:30 pm start.
Vagabond Productions Presents Two One-Act Plays
Vagabond is presenting . . . destroyed surely: An Evening of Plays by John Millington Synge, from March 12 to 15 inclusive in the UPEI Performing Arts Centre and REsidence (PAC121S). The doors open at 7:00 pm for a 7:30 pm start.
Vagabond Productions Presents Two One-Act Plays
Vagabond is presenting . . . destroyed surely: An Evening of Plays by John Millington Synge, from March 12 to 15 inclusive in the UPEI Performing Arts Centre and REsidence (PAC121S). The doors open at 7:00 pm for a 7:30 pm start.
Vagabond Productions Presents Two One-Act Plays
Vagabond is presenting . . . destroyed surely: An Evening of Plays by John Millington Synge, from March 12 to 15 inclusive in the UPEI Performing Arts Centre and REsidence (PAC121S). The doors open at 7:00 pm for a 7:30 pm start.
ACENET workshop: Foundations of machine learning
Are you curious about machine learning but unsure where to start or whether it's the right fit for you? Join ACENET for an introductory session that explores the fundamentals of machine learning and its applications. We’ll break down key terminology—machine learning, deep learning, and neural networks—so you can confidently navigate the field. You'll learn about essential methods, from simple models like Linear Regression and Decision Trees for classification to more advanced techniques such as Support Vector Machines and Neural Networks—the foundation of Large Language Models.
ACENET workshop (Day 2): Big data analysis with Apache Spark
Apache Spark is an open-source software for large-scale data processing and analysis. Using Apache Spark and Python (PySpark), this workshop is aimed at analyzing data sets that are too large to be handled and processed by a single computer. In a hands-on format using PySpark, participants will learn to import data, and use functions to transform, reduce and compile the data. You will also learn how to produce parallel algorithms that can run on the national clusters.
ACENET workshop (Day 1): Big data analysis with Apache Spark
Apache Spark is an open-source software for large-scale data processing and analysis. Using Apache Spark and Python (PySpark), this workshop is aimed at analyzing data sets that are too large to be handled and processed by a single computer. In a hands-on format using PySpark, participants will learn to import data, and use functions to transform, reduce and compile the data. You will also learn how to produce parallel algorithms that can run on the national clusters.
ACENET workshop (Day 2): Introductory programming with Python
Join us for an engaging and interactive introduction to programming with Python. Whether you are a complete beginner or looking to strengthen your foundational knowledge, this workshop will provide you with the essential building blocks of Python programming. Throughout the sessions, you’ll build a strong foundation in Python by learning how to write and structure code, work with different types of data, and create dynamic programs using decision-making and loops.
ACENET workshop (Day 1): Introductory programming with Python
Join us for an engaging and interactive introduction to programming with Python. Whether you are a complete beginner or looking to strengthen your foundational knowledge, this workshop will provide you with the essential building blocks of Python programming. Throughout the sessions, you’ll build a strong foundation in Python by learning how to write and structure code, work with different types of data, and create dynamic programs using decision-making and loops.