Fall 2020 Courses

Course Short Title Description Credits Instructor(s) Period CRN When Where
ILS 17500 Information Strategies For HTM 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. 1.0 Heather Howard Weeks 1-8 19426 MW, 10:30-11:20AM KRAN 250
ILS 18000 Prepare For Undergrad Research 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. 1.0 Amy Childress, JJ Sadler Full term 19382   DIS
Weeks 9 - 15 24368
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. 3.0 Kendall Roark Full term 19442 TR, 1:30-2:45PM LYLE 1160
ILS 28000 Understand Undergrad Resrch I 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’ pitches. 1.0 Amy Childress, JJ Sadler Full term 19392   DIS
Weeks 9 - 15 24372
ILS 29500 Foundations Intro Data Mgmt This course is offered as part of three one-credit courses that combine to meet a set of core competencies in data science. The courses, offered through three colleges (Philosophy, Purdue Libraries, and Electrical Engineering), cover 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. ILS 295 provides a foundation in the concepts of data organization, management, preservation, and publication. Students will develop an ability to locate, access, transform, and evaluate data to answer research questions. They will communicate the results of their data searches, and format the data for sharing. 1.0 Sarah Huber, Wei Zakharov Full term 19444 T, 1:30-2:20PM WALC 2051
ILS 29500 Intro Data Lifecycle Mgmt Introduces the data lifecycle (optionally in the context of a specific profession or discipline) and how to find and evaluate data purposefully; to use data ethically and responsibly; to create and share data for reuse and accountability; to make decisions and communicate using data; and to mitigate risk and archive data. 1.0 Michael Witt, Gang Shao Full term 20184 M, 12:30-1:20PM WALC 1087
ILS 38000 Understand Undergrad Resrch II 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. 1.0 Amy Childress, JJ Sadler Full term 19393   DIS
ILS 39500 Understanding Your Resrch 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. 1.0 Sarah Huber, Wei Zakharov Full term 19445 R, 1:30-2:20PM WALC 3045
ILS 48000 Beyond Undergrad Research 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. 1.0 Amy Childress, JJ Sadler Full term 19396   DIS
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. 1.0 Jane Yatcilla Weeks 1-8 14747 (LEC) TR. 9:30-10:20AM WALC 3049
ILS 59500 Data Mgmt 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. 2.0 Chao Cai, Pete Pascuzzi Full term 15822 (LAB) R, 1:30-3:20PM BRNG B286
Chao Cai, Megan Sapp Nelson 15824 (DIS)   DIS
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. 1.0 Margaret Phillips, David Zwicky Full term 19431   DIS
ILS 63000 Digital Humanities Foundations 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. 3.0 Matthew Hannah Full term 21460 (LEC) T, 1:30-2:20PM WALC 3045
21464 (LAB) TR, 12:30-1:20PM
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. 3.0 Sapp Nelson, Megan Full term 19471 (LEC) M, 8:30-9:20AM WALC 3049
Kong, Nicole 19469 (LAB) M,9:30-11:20AM WALC 3045