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Introduction to Python

Thursday, April 5  |  9:10 – 11:00 AM  |  Life Sciences 1425

Come to this workshop to learn the basics of Python programming language and practice coding hands-on. Please install the Anaconda distribution of Python and bring your laptop.


Introduction to R

Monday, April 9  |  10:10 AM – 12:00 PM  |  Life Sciences 1425

This workshop introduces the basis of data analysis and programming in the R language. Ideal for those new to R, learn the core properties of the R programming language through step-by-step exercises and examples.

Special Seminar: Survey Methodology 

Tuesday, April 17 | 3:00 – 4:00 pm | Rivera Library A0101A

GradQuant and UC Riverside Undergraduate Education invites you to a special presentation about careers in Survey Methodology. Our guest speaker is Dr. Sunghee Lee, who is an associate research scientist at University of Michigan Program in Survey Methodology. For more information and registration, please visit http://gradquant.ucr.edu/sms/


How to Think and Act Like a Bayesian

Wednesday, April 18  |  12:10 – 2:00 PM  |  Life Sciences 1425

Learn the foundations of Bayesian inference and see how to use Markov Chain Monte Carlo (MCMC) computation methods using OpenBUGS to fit Bayesian statistical models. No prior knowledge in Bayesian methods is needed, but a basic understanding of probability distributions will be helpful.


Introduction to LaTeX

Thursday, April 19  |  2:10 – 4:00 PM  |  Life Sciences 1425

In this workshop, beginner users will explore the LaTeX document preparation system, practice hands-on how to produce a basic LaTeX document, learn to format text, and insert images and tables. Please bring your laptops and create a free account on https://www.sharelatex.com in advance.


Introduction to Geospatial Data Processing in Python

Tuesday, April 24  |  9:10 – 11:00 AM  |  Life Sciences 1425

Geospatial data comes in a rich variety of formats and from many different sources. Wrangling geospatial data is often a major component of any applied research project, and becoming efficient in geoprocessing is thus vital. This first workshop provides an overview of methods for dealing with the processing of geospatial data. This includes importing, and integrating, data in different formats (e.g. shapefile, GeoJSON, WKT, WKB), and the treatment of different spatial coordinate reference systems. Methods of deterministic spatial analysis involving topological relationships and spatial operations including buffering, dissolving, clipping, splitting and others, are covered.

Basic knowledge of Python is assumed. Bring your laptop and install Python prior to the workshop. Visit https://github.com/sjsrey/gdapy18 for more information.


Introduction to MATLAB

Thursday, April 26  |  1:10  – 3:00 PM  |  Life Sciences 1425

Need to validate your assumptions or manage your data for professional plotting? In this workshop, beginner MATLAB users will learn the basics of numerical computing with MATLAB and practice creating your own scripts. Please bring your laptop and install MATLAB in advance (cnc.ucr.edu/mysoftware/).


Introduction to Python

Monday, April 30  |  10:10 AM – 12:00 PM  |  Life Sciences 1425

Come to this workshop to learn the basics of Python programming language and practice coding hands-on. Please install the Anaconda distribution of Python and bring your laptop.


Geovisualization with Python

Tuesday, May 1  |  9:10 – 11:00 AM  |  Life Sciences 1425

This workshop focuses on the visualization of geospatial data. Here we explore a number of Python libraries for scientific visualization in general, and geovisualization in particular. Basic cartographic concepts involving choropleth mapping, color schemes, and attribute classification are covered. Methods for exploratory visualization where the focus is on quickly generating graphical depictions and gather insights from geospatial are also examined. Libraries supporting publication quality visualizations are presented. Finally, the development of interactive geovisualizations is introduced.

Basic knowledge of Python is assumed. Bring your laptop and install Python prior to the workshop. Visit https://github.com/sjsrey/gdapy18 for more information.


Special Event: MATLAB Training and Competition

Tuesday, May 1  |  5:30 – 8:00 PM  | HUB 302 North

This is a complimentary MATLAB training and competition, open to all students, faculty, staff, and researchers at UCR. In this event, you will get to do a hands-on, online, interactive MATLAB Onramp training, and compete for prizes.

For more information and registration, please visit http://gradquant.ucr.edu/matlab-training/


Advanced MATLAB

Thursday, May 10  |  1:10 – 3:00 PM  |  Life Sciences 1425

Learn advanced tools in MATLAB for data processing and numerical analysis. You will practice importing and manipulating vectors with built-in functions and discover graphical options for plotting. Please bring your laptop and install MATLAB in advance (cnc.ucr.edu/mysoftware).


Humanities Data: How to Clean, Use, and Keep Your Data Sets

Monday, May 14  |  11:10 AM – 1:00 PM  |  Life Sciences 1425

Do you have data or evidence you would like to organize, either for use in a visualization or for your own sanity? How about where to store or keep your data over the life of your project? Learn how to organize, clean, use, and maintain your data sets for humanities projects.


Exploratory Spatial Data Analysis with PySAL and Python Data Stack

Tuesday, May 15  |  9:10 – 11:00 AM  |  Life Sciences 1425

This workshop provides and introduction to methods that support the exploration of spatial data. The goal of these methods is to uncover and detect interesting geographical patterns. The formal representation of neighbor relationships via spatial weights matrices are discussed. Global tests for spatial autocorrelation are covered, followed by local autocorrelation methods designed to detect hot-spots in geospatial data patterns. Methods for the exploration of spatial-temporal data are also introduced.

Basic knowledge of Python is assumed. Bring your laptop and install Python prior to the workshop. Visit https://github.com/sjsrey/gdapy18 for more information.


Machine Learning in Python

Thursday, May 17  |  9:10 – 11:00 AM  |  Life Sciences 1425

Learn the basics of implementing machine learning algorithms in Python using the package scikit-learn in this workshop. Geared towards those with a basic understanding of Python and learning looking to build on their skillset. Installation of the Anaconda distribution of Python is recommended.


Machine Learning in R

Monday, May 21  |  10:10 AM  – 12:00 PM  |  Life Sciences 1425

Learn the basic concepts of machine learning using the R language. Learn how to code and interpret machine learning topics such as random forests, recursive partitioning, and neural networks. Attendees will gain skills that will allow them to begin using their own machine learning problems.


Introduction to Spatial Econometrics with PySAL

Tuesday, May 22  |  9:10 – 11:00 AM  |  Life Sciences 1425

This workshop provides an introduction to the modeling of relationships in spatial data using methods of modern spatial econometrics. The complications that arise due to spatial dependence and spatial heterogeneity in empirical data sets are explored. Methodological topics include an overview of model specifications for regression with spatial data, methods of estimation, model diagnostics, and validation issues.

Basic knowledge of Python is assumed. Bring your laptop and install Python prior to the workshop. Visit https://github.com/sjsrey/gdapy18 for more information.


Hypothesis Testing and Statistical Power

Thursday, May 24  |  2:10 – 4:00 PM  |  Life Sciences 1425

Learn about the basic concepts of null hypothesis significance testing (NHST). We will review the basic concepts of size and power of the statistical test and see how to determine the power of a study and an optimal sample size. We’ll also demonstrate software that automates power calculations.


Survey Research Design

Wednesday, May 30  |   1:10 – 3:00 PM  |  Life Sciences 1425

In this workshop, learn about different types of survey research design and its key characteristics. Participants will be introduced to Qualtrics Research Suite, a useful survey tool for gathering data for academic research and program assessment, construct their own Qualtrics surveys, and employ survey distribution and management tools. Please bring your laptop for hands-on practices.


Regression in R

Thursday, May 31  |   9:10 – 11:00 AM  |  Life Sciences 1425

Learn how to conduct and interpret regression analyses in R. We will explore correlation, multiple regression, categorical predictors (i.e., ANOVA), non-linear relationships, and more. No previous knowledge of regression or R is required. Please come with R and RStudio installed on your computer.


Introduction to Causal Inference

Monday, June 4  |  10:10 – 12 PM  |  Life Sciences 1425

Learn about the research designs and potential outcomes framework for causal inference, for both observational and experimental studies, and some of the more common designs such as randomization, instrumental variables, matching, difference-in-difference and regression discontinuity.


LaTeX Dissertation Template and Advanced Manuscript Formatting

Thursday, June 7  |  1:10  – 3:00 PM  |  Life Sciences 1425

Move your manuscript to the next level with LaTeXIn this workshop you will practice using templates, insert a bibliography to your document, and learn advanced commands for figures and mathematical formulas. The major focus of this workshop will be on UCR LaTeX dissertation/thesis template. Please bring your own laptop.