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219 Davis Library

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208 Raleigh Street
Chapel Hill, NC 27514 United States
(919) 962-1151 http://library.unc.edu/davis/

August 2020

ICPSR — Machine Learning: Applications and Opportunities in Social Science Research (VIRTUAL)

August 4 @ 9:00 am - 5:00 pm
|Recurring Event (See all)

An event every day that begins at 9:00 am, repeating until August 7, 2020

219 Davis Library, 208 Raleigh Street
Chapel Hill, NC 27514 United States
+ Google Map

The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential in its commercial and medical applications, a growing number of social scientists are taking advantage of these methods to: uncover patterns and structure embedded in data test and improve model specification and predictions perform data reduction   This course covers…

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ICPSR — Machine Learning: Applications and Opportunities in Social Science Research (VIRTUAL)

August 5 @ 9:00 am - 5:00 pm
|Recurring Event (See all)

An event every day that begins at 9:00 am, repeating until August 7, 2020

219 Davis Library, 208 Raleigh Street
Chapel Hill, NC 27514 United States
+ Google Map

The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential in its commercial and medical applications, a growing number of social scientists are taking advantage of these methods to: uncover patterns and structure embedded in data test and improve model specification and predictions perform data reduction   This course covers…

Find out more »

ICPSR — Machine Learning: Applications and Opportunities in Social Science Research (VIRTUAL)

August 6 @ 9:00 am - 5:00 pm
|Recurring Event (See all)

An event every day that begins at 9:00 am, repeating until August 7, 2020

219 Davis Library, 208 Raleigh Street
Chapel Hill, NC 27514 United States
+ Google Map

The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential in its commercial and medical applications, a growing number of social scientists are taking advantage of these methods to: uncover patterns and structure embedded in data test and improve model specification and predictions perform data reduction   This course covers…

Find out more »

ICPSR — Machine Learning: Applications and Opportunities in Social Science Research (VIRTUAL)

August 7 @ 9:00 am - 5:00 pm
|Recurring Event (See all)

An event every day that begins at 9:00 am, repeating until August 7, 2020

219 Davis Library, 208 Raleigh Street
Chapel Hill, NC 27514 United States
+ Google Map

The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential in its commercial and medical applications, a growing number of social scientists are taking advantage of these methods to: uncover patterns and structure embedded in data test and improve model specification and predictions perform data reduction   This course covers…

Find out more »

Academic Publishing 101: From Idea to Article…and Beyond (ONLINE)

August 28 @ 9:00 am - 4:00 pm
219 Davis Library, 208 Raleigh Street
Chapel Hill, NC 27514 United States
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This course will be offered via ZOOM only. Although graduate school teaches you many things, many Ph.D. students complete their dissertations having never been fully trained in academic publishing. How does academic publishing actually work? Where should you publish your research? How do you actually get papers accepted in strong academic journals? In this talk, we will discuss several major ideas in academic publishing (focusing on the social sciences). We will discuss:   - professional integrity and ethics - the…

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SAS

August 31 @ 3:00 pm - September 3 @ 5:00 pm
219 Davis Library, 208 Raleigh Street
Chapel Hill, NC 27514 United States
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This is a four-part course. SAS part 1 of 4 will give an introduction to the SAS system and SAS windows. Topics to be covered include: creating and saving SAS programs reading in data from simple and complex text data sets typing variables obtaining frequencies, contents, and univariate statistics SAS 2/4 will cover: formatting variable venues creating SAS libraries for storing and retrieving SAS data sets and format files reading raw data from external files creating new SAS data sets…

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September 2020

Mixed Methods Workshop (ONLINE)

September 16 @ 9:30 am - 3:30 pm
|Recurring Event (See all)

An event every 2 days that begins at 9:30 am, repeating until September 18, 2020

219 Davis Library, 208 Raleigh Street
Chapel Hill, NC 27514 United States
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This TWO-DAY (9/16/20 and 9/18/20) online course equips students to design, conduct, and critique mixed method research. From a pragmatic perspective, we will explore the strengths and weaknesses of a variety of data collection methods, and evaluate strategies for combining them. We will focus on mixed method research designs incorporating in-depth interviews, focus groups, participant observation, archival research, survey interviews, and/or hybrid methods.   The majority of the course will center on research design and data collection issues. Some time…

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Mixed Methods Workshop (ONLINE)

September 18 @ 9:30 am - 3:30 pm
|Recurring Event (See all)

An event every 2 days that begins at 9:30 am, repeating until September 18, 2020

219 Davis Library, 208 Raleigh Street
Chapel Hill, NC 27514 United States
+ Google Map

This TWO-DAY (9/16/20 and 9/18/20) online course equips students to design, conduct, and critique mixed method research. From a pragmatic perspective, we will explore the strengths and weaknesses of a variety of data collection methods, and evaluate strategies for combining them. We will focus on mixed method research designs incorporating in-depth interviews, focus groups, participant observation, archival research, survey interviews, and/or hybrid methods.   The majority of the course will center on research design and data collection issues. Some time…

Find out more »
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