Spring 2020 Courses

Course Short Title Description Credits CRN-Section Instructor(s) When Where
ILS 23000 Data Science & Society ELSI This course provides an introduction to Ethical, Legal Social Issues (ELSI) in Data Science. Students will be introduced to interdisciplinary theoretical and practical frameworks that can aid in exploring the impact and role of Data Science in society. This is a writing intensive course. Students will work individually and on collaborative assignments. 3 16861-001 Kendall Roark (LEC) TR 1:30-2:45 PM WALC 3049
ILS 29000 Independent Study In Info Sci Intensive study on specific topics in information or data science that are not otherwise covered by courses currently offered at Purdue. Plan of study and assessment is agreed upon by faculty and student before registration. 1.0-3.0     Arranged
ILS 39500 Understanding Research Data ILS 395 is offered as a complement to GS 395, Understanding Your Undergraduate Research. This course provides an introduction to principles of data management and organization, data analysis and visualization, and ethical and social implications of data science, providing a strong foundation for subsequent coursework. This course focuses on proper organization, management, visualization, preservation, communication, and ethical use of data. Students will apply their own research experiences in data management topics through readings, videos, discussion, lectures, guest speakers, and hand-on activities in class. They will develop an ability to locate, access, transform, and evaluate data to answer research questions. Students will communicate the results of their data searches, and format the data for sharing. 1 18174-001 Sarah Huber, Wei Zakharov (LEC) M 4:30-5:20 PM WALC 3049
18324-002 Sarah Huber, Wei Zakharov (LAB) M 5:30-6:20 PM WALC 3045
ILS 49000 Independent Study In Info Sci Intensive study on specific topics in information or data science that are not otherwise covered by courses currently offered at Purdue. Students will 1) Critically examine and apply information and data sciences to various disciplines; 2) Develop practical skills and apply them to their disciplinary research. Plan of study and assessment is agreed upon by faculty and student before registration. 1.0-3.0     Arranged
ILS 49500 Info Skills Hlth Science Profs 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. 1 21536-003 Jane Yatcilla (LEC) TR 9:30-10:20 AM WALC 3049
ILS 49500 R For Molecular Biosciences This course will provide students in the domain of molecular biosciences experience in data science. Students will be introduced to robust, open source data science tools such as R and Linux to acquire, assess, clean, visualize and analyze biological data sets related to the Central Dogma of Molecular Biology. The course has prerequisites in biology and statistics, but there is no computer science prerequisite because 1) there are no CS courses in R programming and 2) the primary objective of the course is to make students data literate not to make them programmers. This course meets a primary goal of Purdue’s Integrative Data Science Education Ecosystem to make all students, regardless of domain, data literate upon graduation. In addition, this course is the first course in a nascent bioinformatics minor, and it has been carefully designed to complement later courses in this minor. 3 17661-001 Pete Pascuzzi (LEC) W 1:30-3:20 PM SC G046
17744-002 Pete Pascuzzi (LAB) F 1:30-3:20 PM SC G046
ILS 59000 Independent Study In Info Sci Intensive study on specific topics in information or data science that are not otherwise covered by courses currently offered at Purdue. Plan of study and assessment is agreed upon by faculty and student before registration. 1.0-3.0     Arranged
ILS 59500 Critical Data Studies Critical Data Studies 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 offers the opportunity for students to engage with visiting scholars and the larger campus community through the monthly Open Seminar Series. 1 16885-010 Kendall Roark, Danielle Walker (LEC) F 2:30-3:20 PM WALC 3148
ILS 59500 Data Management At The Bench 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. 2 19600-006 Megan Sapp Nelson, Chao Cai (LEC) DIS
19588-005 Pete Pascuzzi, Chao Cai (LAB) R 1:30-3:20 PM BRNG B282
ILS 59500 Info Strat For STE This course focuses on information strategies for successful research in science, engineering, and technology disciplines. Students will learn about how scholarly information and discipline-relevant grey literature (e.g. patents, technical standards) are created, organized, disseminated, retrieved, and managed. In addition, students will learn strategies to critically evaluate information and present their research effectively and ethically. 1 19574-004 Margaret Phillips, David Zwicky (LEC) DIS
ILS 59500 Intro Sys Rev Health Sciences This course will introduce systematic review methodology of published health sciences literature. Students will learn to form research questions, develop inclusion and exclusion criteria, search for evidence, manage data, and assess the risk of bias. 2 19619-008 Bethany McGowan, Jason Reed (LEC) M 1:30-2:20 PM WALC 3045
1 17026-011 Bethany McGowan, Jason Reed (LAB) W 2:30-3:20 PM WALC 3045
ILS 59500 Qualitative Data Mgmt Curation This course offers an interdisciplinary introduction to data management and curation with a focus on the use, value, and organization of data, materials, infrastructure, tools, and scholarly communication in qualitative research. The course will introduce literature concerning ethical and legal considerations of data management and curation, and will provide opportunity for hands-on digital, data literacy, and data manipulation skills development. 3 19627-009 Kendall Roark (LEC) T 4:30-7:20 PM WALC 3045
ILS 69000 Independent Study In Info Sci Intensive study on specific topics in information or data science that are not otherwise covered by courses currently offered at Purdue. Plan of study and assessment is agreed upon by faculty and student before registration. 1.0-3.0     Arranged
ILS 69500 Computational Text Analysis Computational analysis of textual data has become increasingly important in the world of digital humanities, digital history, data science, and computational social science. This course provides an introduction to the methods, debates, controversies, and tools of computational text analysis (CTA) specifically crafted for the humanities and social science graduate student. Students will explore the central theoretical debates in CTA while also learning practical hands-on skills in corpus creation, OCR, text mining, topic modeling, sentiment analysis, and other methods. They will learn how CTA relates to established interpretative practices in the larger histories of the humanities and social sciences and the broader context of their own disciplines, and will consider both the possibilities and the limitations of CTA in their own work. While the course is designed for a beginner with little technical training, students will become familiar with the basic elements of coding/scripting using the programming language R and other tools. Upon completion of this course, students will understand the challenges of CTA, be conversant with major theoretical discussions around CTA, and have a foundational understanding of the steps required to incorporate CTA into their regular research practices and particular projects. 3 17299-007 Matthew Hannah, Trevor Burrows (LEC) TR 12:00-1:15 PM WALC 3045
ILS 69500 Data Sharing And Publication 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. 3 19624-004 Megan Sapp Nelson (LEC) M 8:30-9:20 AM WALC 3049
19623-003 Ningning Kong (LAB) M 9:30-11:20 AM WALC 3045
ILS 69310 Digital And Analog Archives An overview of archival theory and practice, including archival preservation, research, and creation of digital archives. This course will prepare students from any discipline for archival research, and will provide experience in using digital humanities tools for archival work. 3 19626-005 Sammie Morris (LEC) W 1:30-3:10 PM STEW 462
17020-006 Sammie Morris (LAB) W 3:20-4:10 PM STEW 462