Who We Are
From the Dean
Know the Libraries
This course will provide students with a framework of information search
skills and problem-solving they can utilize in their area of study and in everyday
life. It will also incorporate technology literacy components with active learning.
Class sessions will consist of lecture, group discussion, demonstrations, and
in-class activities and out-of-class activities.
This course is for prospective Purdue undergraduate researchers who are
interested in conducting undergraduate research or creative endeavors. Purdue
students who have not already started an independent research project with a
research mentor will learn valuable skills to market themselves to individuals
and research programs. Throughout the course, students will develop components
for a final application packet to submit to a research team or program they choose.
This course is for current Purdue undergraduate researchers to hone skills
necessary for successfully reflecting on and completing the experience. During
this course, students will utilize their research experience to apply skills such as
managing time with a research project, communicating your research, utilizing
Purdue Libraries' resources, and providing feedback to peer researchers. Students
will deliver research pitches about their own project and provide critiques to others’
This course is for prospective Purdue undergraduate researchers who are within
their first two years at Purdue who are interested in conducting undergraduate
research or creative endeavors. New Purdue Boilermakers who have not already
started an independent research project with a research mentor will learn valuable
skills to market themselves to individuals and research programs to prepare for a
project in the following semester. Throughout the course, students will develop
components for a final application packet to submit to a research team or program
they choose while focusing on the transition to college expectations regarding
research-related topics. Must be a first-year or second-year student.
This course is for current Purdue undergraduate researchers to build upon the
previous course and focus on research data collection, presentation, and communication
for current Purdue undergraduate researchers. During this course, students will learn and
discuss various forms of data and collection practices. Students will develop their own
academic poster to present their research project's data and implications. Students are
encouraged to present their poster at one of Purdue’s undergraduate research conferences
near the end of the semester.
Critical Data Studies (CDS) is an interdisciplinary field that addresses the ethical, legal, socio-cultural, epistemological and political aspects of data science, big data and digital infrastructure. This course focuses on current topics in critical data studies scholarship. Particular emphasis will be given to democratic and participatory approaches to algorithm design and responsible data management, curation and dissemination. Students will develop tools and methods to help scholars think critically and identify issues of concern to local communities. This is a research and writing intensive course.
Any time information is used for a particular means conflict is inevitable. This seminar course
examines historical and current societal issues and challenges related to the consumption and
production of information. The course delves into how the use and misuse of information has
resulted in historical and contemporary challenges, including ethical concerns in the dissemination
of science, technology, engineering and mathematics (STEM) information, the capturing and sharing
of surveillance and privacy information, the creation and sharing of disinformation and ‘fake’ news,
and information on social media that takes on a life of its own (i.e., going viral). New issues will be
examined weekly and students will be able to introduce topics of interest as well. The cumulative final
project will allow students to select and explore their own topics on an evolving information practice
and its influence on culture or society.
This course is for current Purdue undergraduate researchers to build on previous
courses and focus on continuing their education in graduate or professional school.
During this course, students will learn and discuss the various phases of identifying,
selecting, applying to and funding graduate or professional school programs. Students
will also gain a deeper comprehension of the qualities and skills that make research
mentors effective while developing skills they will need to be successful mentees and
peer mentors. Students will conduct research to identify potential programs of interest
and develop a statement of purpose.
Students will gain a detailed understanding and knowledge of how to find and use
government information resources from U.S. Government agencies, state agencies,
Indiana local government agencies, and international and foreign national governments.
So you want to go to medical school or veterinary school, or become a chiropractor,
dentist, public health specialist, osteopath, occupational therapist, physical therapist,
physician’s assistant, or get a PhD and do clinical research. Take this course to develop
critical information skills to support your professional goals and prepare you for graduate
or professional school. Show up on day one of professional or graduate school knowing
how to navigate PubMed and other databases, differentiate between various types of
research articles, and save and organize articles so you can easily locate them,
“cite while you write,” and share articles with your classmates or research group.
This course is for current Purdue undergraduate researchers who want to learn how
to serve as peer mentors to undergraduate researchers early in their careers. This course
will train students on how to create mutually beneficial and productive mentorships. This
course will provide research-based best practices for mentoring newer student researchers
while developing as a cohort of new research mentors. This course is especially useful for those
students who enjoy supporting peer researchers or plan to continue into more formal mentorship
roles as a senior undergraduate researcher, graduate student, or research supervisor in academia
or industry. Must be a current undergraduate researcher.
Intensive study of selected topics varying from semester to semester, from the practice of
information and data sciences. Topics may include data management and organization,
digital scholarship, data visualization, computer languages for data and information science,
information literacy, archival literacy, and emerging trends in information and data science.
Permission of the instructor is required for undergraduates.
This course will provide a sweeping introduction to many of the tools and concepts
central to the Digital Humanities. DH is a newer area of study, supplementing the study
and teaching of the humanities and social sciences with computing tools that provoke
new questions. The course is divided into two concurrent tracks: 1) One session per
week will be spent discussing readings about the central debates within the field in
discussion-based lecture periods and exploring existing DH projects to gain familiarity
with contemporary work; 2) Students will also learn to apply software tools to their
home disciplines in weekly lab sessions where students will be required to reconceptualize
their research into datasets with an eye toward building an original digital project or exhibit.
There are no pre-requisites, and graduate students and advanced undergraduates are welcome
from any department. While there are no technical skills required, students should know the
basics of their chosen computer interface as we will be downloading software and navigating file paths.
This course walks students through the process of preparing a dataset for sharing with both
internal and external audiences. Students wil select authoritative datasets for sharing and
publication, apply metadata to those datasets, create documentation for end-users of the datasets,
and publish the datasets to internal or external data repositories or storage as appropriate.