Workshops

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GPLT319 - Speaking with Skill: English pronunciation and conversation

Section 2

March 8-15, 2021, 11:00 - 13:00, Mon

GPLL15 - Writing an Engineering Academic Paper

Section 1

March 9, 2021, 09:00 - 11:00, Tue

GPLD141 - Navigating Emotional Intelligence

Section 2

March 10, 2021, 09:00 - 11:00, Wed

GPDI517 - Reproducible Scientific Analysis with R

Section 1

March 10-17, 2021, 09:00 - 11:00, Wed

This is a 5-hour workshop designed for graduate students from Natural and Social Sciences who want to improve their R coding ability. Participants need a working knowledge of R (see Requirements). The purpose of the workshop is to teach the basic skills needed for importing, preparing data for analysis and visualizing scientific data in R in a reproducible manner. A key focus of the workshop is to generate different visualizations, such as violin plots, bar and line plots. In this workshop, the following topics will be covered: - Reproducibility: Why is it important? Best practices for writing and sharing code - Importing data from different file types using the readr package - Manipulating data using the dplyr package - Writing code in an Rmarkdown document - Plotting graphs using ggplot2 and plotly packages ***Participants need to be familiar with functions in R, data types, dataframes and basic tasks using dataframes (accessing specific rows or columns, renaming columns, etc.). Participants will need to bring their own laptop, with R (one of the latest versions: 3.4.3 or above) and RStudio installed*** If you have attended GPDI515 (Beginners Guide to R) or GPDI544 (R Bootcamp), you have all necessary requirements, however many online classes will also get to you to this level (e.g., Lessons 1 and 13 here: https://swcarpentry.github.io/r-novice-inflammation/ ). To learn how to install R and RStudio, please use the following resources: Linux: https://youtu.be/YBOpy1WK-bg Mac OS: https://youtu.be/GFImMj1lMRI Windows: https://youtu.be/GAGUDL-4aVw We will also be using several R packages through the workshop including readr, dplyr, ggplot2 and plotly. Here is a quick guide on how to install an R package: https://youtu.be/u1r5XTqrCTQ ~~~ At the end of this workshop, participants will be able to: 1. Identify core principles of reproducibility 2. Import data into R; 3. Write data to files; 4. Manipulate data more efficiently using dplyr; 5. Write and execute a Rmarkdown script; 6. Generate publication-quality graphs using ggplot. ~~~ This workshop is led by Alexander Albury. Alex is a PhD student in Psychology working in the Penhune Lab for Motor Learning and Neural Plasticity. He studies how musical complexity and predictability affect how we learn and experience music. Alex is passionate about data science and programming and enjoys learning and sharing new techniques to make science easier and more accessible.

GPCB610 - Career Planning 101: Graduate Students

Section 2

March 10, 2021, 13:00 - 14:30, Wed

GPWL939 - Income Taxes (Financial Skills for the Real World)

Section 2

March 10, 2021, 15:00 - 17:00, Wed

GPSC36 - Crafting Strong Thesis Statements and Introductions

Section 1

March 11, 2021, 09:00 - 11:00, Thu

GPLD144 - Solving Problems and Seeing the Big Picture

Section 1

March 11, 2021, 10:00 - 12:00, Thu

Section 2

March 27, 2021, 09:00 - 11:00, Sat

GPCB596 - Pitching

Section 1

March 11, 2021, 13:00 - 15:00, Thu

GPCB632 - Resume and Cover Letter Writing

Section 2

March 12, 2021, 09:00 - 11:00, Fri

GPLL265 - Make it open: Simple steps to make your work accessible, equitable, and discoverable

Section 1

March 12, 2021, 11:00 - 13:00, Fri

GPDI513 - Get Started Coding with Python

Section 2

March 12-26, 2021, 13:00 - 15:00, Fri

Are you curious about coding? Would like to know how to start coding and how it can be useful? In this workshop, we will use Python, a very popular, powerful, yet simple programming language to discuss and demonstrate foundational coding concepts. ***IMPORTANT NOTES: 1. Students do not need any prior knowledge of coding or Python to participate in this workshop. If you are already familiar with coding or Python, then this workshop will be too basic for you and you should not attend. 2. You will receive an email prior to the workshop with instructions for installing Python on your personal computer. 3. Learning to code must be hands-on. Through a series of in-class and online exercises, we will learn to create and troubleshoot (debug) computer programs. Your commitment and participation during class (6 hours) and outside class (approximately 6 hours) are mandatory. To better manage this process, you will be enrolled in a Moodle course where you will have access to resources and activities. Failure to complete the activities assigned outside of class, will result in you being dropped from the workshop. *** ~~~ After this workshop, you will be able to: - Describe the process of creation of computer programs - Create and execute Python scripts on your computer - Apply basic elements of the Python programming language (control, selection and repetition statements, variables of simple data types, input/output, and functions) to solve problems or automate tasks - Apply at least two strategies to troubleshoot (or debug) Python scripts ~~~ This workshop is led by Ivan Ruby, Ph.D. Candidate in Educational Technology, Department of Education. Ivan has an academic background in Computer Science. He migrated to Education to conduct research related to the role education and technology play for an empowering, accessible, and sustainable future. His current research interest is in teaching and learning of computer programming for beginners, to adapt to and address the challenges of the 21st-Century.

GPLD146 - Managing People's Performance

Section 1

March 13, 2021, 10:00 - 12:00, Sat

GPCB684 - LinkedIn for Beginners

Section 1

March 16, 2021, 11:00 - 12:15, Tue

GPSC26 - Writing Compelling Abstracts

Section 1

March 17, 2021, 09:00 - 11:00, Wed

GPLL32 - Avoiding Plagiarism at the Graduate Level

Section 1

March 17, 2021, 13:00 - 15:00, Wed

GPLD143 - Professional Negotiation and Persuasion Skills

Section 2

March 18, 2021, 09:00 - 11:00, Thu

GPLL38 - Data Analysis Starter: Critically thinking and statistics

Section 1

March 18-25, 2021, 09:00 - 11:00, Thu

Critical analysis of statistics is a crucial part of every graduate student’s professional toolkit. Statistics are used in many fields to quantify results but how they are communicated can be a source of confusion. Knowing how to interpret numbers will allow you to evaluate academic articles and reports that you encounter in your own work. This workshop will seek to provide a review of basic concepts in statistics (such as mean, mode, median, variance and standard deviation) that are useful to understand, critique and communicate data. Additionally, you will learn how to carry out a simple statistical analysis to compare two groups of numerical data. The workshop will conclude with a discussion of what software or tool is most appropriate given the format or structure of your data. The first session of the workshop will focus on estimating different measures, and basic statistical tests. The second part of the workshop will focus on sampling techniques, reporting statistical analysis, and how to critically interpret statistics. ~~~ After attending this workshop, you will be able to: 1. Understand and distinguish between some basic statistical measures 2. Learn how to carry out a simple statistical test (a T-test) 3. Learn how to report statistical measures formally 4. Understand the influence of sampling techniques and sample size on statistical measures 5. Be able to read and interpret reported statistics 6. Assess what statistical platform to use depending on you data format ~~~ This workshop is led by Tanya Singh. Tanya is currently pursuing her PhD at the John Molson School of Business and studies consumer decision making under resource scarcity. She is a self-described foodie and amateur artist. Tanya enjoys teaching and communicating her work with peers and students alike. In her research, Tanya employs various sources of data to understand how consumers make decisions when faced with resource scarcity, during events like hurricane Katrina. Tanya obtained a Bachelor of Engineering degree (from India) and PhD in Evolutionary Genetics (from the University of Pennsylvania).

GPCB630 - Interviewing Skills

Section 2

March 19, 2021, 09:00 - 11:00, Fri

GPSC482 - English Grammar 1: Subject-verb agreement, dangling modifiers, articles, and voice

Section 2

March 20, 2021, 10:00 - 11:00, Sat

Do you want to perfect your writing in English, but have doubts about your grammar? Do you want to move your writing from functional closer to the level and style of a native speaker? Grammar for Graduate Students 1 is the first in the set of two grammar workshops targeted toward non-native English-speaking graduate students at Concordia University. This workshop gives you the solid foundation you need to move toward producing polished papers, reports, and theses at an advanced level. Grammar for Graduate Students 1 remedies some of the most persistent grammar problems that advanced learners of English face – namely, those related to subject-verb agreement, misplaced and dangling modifiers, articles, and passive voice – and it supports students who want to become better writers. ~~~ By the end of this workshop, participants will be able to: 1. Overcome some of the most common grammar problems non-native English-speaking graduate students face such as incorrect use of subject-verb agreement, articles, passive voice, as well as misplaced and dangling modifiers in English; 2. Use strategies for recognizing and correcting these grammar problems when they appear in texts; 3. Recognize the grammar-related specificities of English academic writing style; and 4. Apply these specificities in own writing. ~~~ This workshop is led by Joseph E. Brito. Joseph E. Brito is a doctorate candidate at the Department of Religions and Cultures, at Concordia University. His doctoral dissertation uses a post-colonial lens to demonstrate ways in which early Christian discourse and narratives used metaphors from the roman institution of slavery as rhetorical and theological device. Prior to joining the doctoral program, he completed his bachelor and master degree at Université de Montréal. As a researcher, he is passionate about post-colonial studies, migration and minority studies, and is currently involved with the Association for the Rights of Household Workers, focusing on migrant workers’ right.

GPLD142 - Leading Teams for Success

Section 1

March 20, 2021, 10:00 - 12:00, Sat

Section 2

March 31, 2021, 09:00 - 11:00, Wed

GPCB627 - Preparing Your Application to Teach in CEGEP

Section 1

March 22, 2021, 10:00 - 11:30, Mon

GPWL902 - Eight Powerful Ways Critical Thinking Can Change Your World

Section 1

March 23, 2021, 10:00 - 11:00, Tue

GPSC483 - Editing Principles for Graduate Students

Section 1

March 24, 2021, 09:00 - 11:00, Wed

GPSC415 - Professional and Effective Email Writing

Section 2

March 24, 2021, 09:30 - 11:00, Wed

GPDI515 - Beginner’s Guide to the R Programming Language

Section 2

March 25 - April 1, 2021, 15:00 - 17:00, Thu

Is it time for you to learn how to code? If the answer is “Yes!”, we propose an unconventional way to start: coding with R, which is a free, powerful and simple programming language for data analysis. In this workshop, you will learn the basics of the R syntax and how it can support your research. Our aim is to put you on a path to start using R for basic data work and to guide you through becoming a self-learner. We will provide you with a list of resources that can help you get better at coding with R in a self-paced manner. Throughout the workshop, you will be given short exercises mostly focused on data analysis. These exercises aim to teach you: - how to write an R script for a small task; - how to write data into a text file; - how to read data from a text file; - how to create and subset a data set; - how to install and use an R library; - how to plot a graph. ***IMPORTANT NOTE Participants must bring their own laptops. Before the workshop, they are strongly encouraged to install R (version 3.2.2 or higher) and RStudio on their laptops. Otherwise, a laptop with internet access is enough to follow the exercises in the first session of the workshop. To learn how to install R and RStudio: Linux: https://youtu.be/YBOpy1WK-bg Apple OS: https://youtu.be/GFImMj1lMRI Windows: https://youtu.be/GAGUDL-4aVw *** ~~~ In this workshop, participants will: 1. Discover the terminology of basic coding, such as working directory, compiling a code, script, library, function, csv, concatenation, data frame, etc; 2. Learn about coding and the types of resources they will need while coding; 3. Install different R libraries; 4. Use a minimum of 10 basic built-in functions in R; 5. Use vectors and data frames to store and manipulate data; 6. Write and execute a simple R script. ~~~ This workshop is led by Alexander Albury. Alex is a PhD student in Psychology working in the Penhune Lab for Motor Learning and Neural Plasticity. He studies how musical complexity and predictability affect how we learn and experience music. Alex is passionate about data science and programming and enjoys learning and sharing new techniques to make science easier and more accessible.

GPCB602 - Optimizing LinkedIn

Section 2

March 26, 2021, 09:00 - 11:00, Fri

GPCB606 - Résumé Writing for Graduate Students

Section 1

March 26, 2021, 10:00 - 11:30, Fri

GPLL51 - Perfecting the Academic Paragraph

Section 2

March 31 - April 7, 2021, 09:30 - 11:00, Thu

Before you can write a successful paper, literature review, thesis, or any other academic work, you have to learn how to perfect the paragraph. Adopting the strategies for creating cohesive ideas, impactful statements, and a logical flow is crucial to any academic writing career. Applicable to graduate-level writers of all backgrounds, the Perfecting the Paragraph workshop aims to provide participants with an understanding of the most common mistakes that lead to unconvincing, unclear writing. Taking the paragraph as an “idea” unit, the workshop looks at the formulation and purpose of the topic sentence. It then focuses on paragraph structure, development of the main idea, transition to the next paragraph, punctuation, style, and vocabulary. ***This workshop is particularly useful for non-native English speakers.*** This workshop takes place in two classes and will be accompanied by a moodle site. The first class will present theory. After the first class, participants will submit a writing sample via moodle for peer review. In a supportive environment, the instructor and students will provide feedback on the writing samples. In the second class we will discuss the learning of the peer review exercise. Participation in both days and the peer review activity is mandatory, and if unmet will result in the non-attendance penalty being applied. ~~~ By the end of this workshop, participants will be able to: 1) Identify the elements of the English academic paragraph 2) Examine the most common mistakes in paragraph composition 3) Create a logical and easy-to-follow flow in their writing 4) Give and receive peer feedback on paragraph structure ~~~ This workshop is led by Jad Sadek. Jad is a PhD student in Mechanical engineering, his research consists of experimental, numerical and analytical analysis tackling needle-free technology with an emphasis on the combustion driven mechanisms. In parallel to his research Jad is always active as a teacher assitant and as a tutor to further his teaching experience.

GPCB631 - Negotiating Your Job Offers

Section 2

April 1, 2021, 09:00 - 11:00, Thu

GPLD157 - Virtual Teams and Tools

Section 1

April 10, 2021, 10:00 - 12:00, Sat

Working remotely requires new approaches to managing communication and coordinating daily activities, thus unlocking the potential to consider such transition as a process, not a fixed point in time. Grounded in the practical knowledge gained while working with geographically dispersed teams, this virtual seminar introduces graduate students to the lessons learnt from the open source communities and office-less start-ups and help apply them in the context of their own research projects. ~~~ By the end of this introductory-level seminar, students will: • Understand the significance of project management methods, platforms and other work collaboration tools to support virtual teams. • Explore best practices on managing their research and project data remotely as well as how to provision the right infrastructure. • Become familiar with types of virtual teams and techniques on leading such teams, navigating obstacles and building trust. • Learn about setting up a system for communicating with team members, including opportunities for spontaneous communication and ways to communicate tone and personality when working remotely. ~~~ Yuliya Kondratenko, PMP, PMI-ACP is a seasoned professional with eleven years of experience in the field of post-secondary education. She currently works as Manager, Operations Support at Ryerson University, Toronto, Ontario. Prior to that role, Yuliya Kondratenko has worked at Concordia University, Montreal, Quebec on a number of critical projects that have laid a framework for enhancing services for Concordia students. For the last two years, she has been responsible for implementing the inter-institutional research program SpokenWeb with the goal of remediating (analogue-to-digital), aggregating, and making discoverable a digital library of literary audio collections. Yuliya obtained her Project Management Professional (PMP) certification in March 2017 and became PMI Agile Certified Practitioner (PMI-ACP) in May 2020. She is an MBTI® (The Myers-Briggs Type Indicator) certified practitioner.

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