Fall 2019 Course Offerings

Course Short Title Description Credit Instructor CRN When Where
ILS 29500 Prep Undergrad Res Exp 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, James Sadler 17873 DIS
ILS 29500 Undergrad Research Exp 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 elevator pitches about their own project and provide critiques to others’ pitches. 1.0 Amy Childress, James Sadler 17871 DIS
ILS 29500 Undergrad Research Exp 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, James Sadler 17872 DIS
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 21399 W, 3:30-4:20 WALC 3154
ILS 29500 Developing Your Data Mind The Habits of Mind (Costa & Kallick, 2008) are an identified set of problem-solving, life-related patterns of behavior that are necessary to effectively operate in society and promote strategic reasoning, insightfulness, perseverance, creativity, and craftsmanship. ENGR 103-L01 is an introductory, one-credit course that exposes students to an additional six “Habits of Mind for Data” that are necessary for engineers to navigate in the world of data. Students will learn and develop habits to 1) be aware of data and its lifecycle; 2) find and evaluate data purposefully; 3) use data ethically and responsibly; 4) create and share data for reuse and accountability; 5) make decisions and communicate using data; and 6) mitigate risk and archive data. Students will engage these topics through readings, videos, discussion, lectures, guest speakers, and hands-on activities in class. As a final project, students will demonstrate application of the material by writing a two-page data management plan that addresses the needs of an example data collection. The course is a prerequisite for ENGR 103-L02 in the spring semester, in which students will continue to develop a data mindset in the application of Python to engineering contexts. Enrollment is limited to students accepted into the Engineering in the World of Data Learning Community. 1.0 Nastasha Johnson, Michael Witt 20184 M, 12:30-1:20 ARMS B098
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 Kendall Roark 14745 Arr Hrs  
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 14747 T/TH, 9:30-10:20 WALC 3049
ILS 49500 Citizens Academy Citizens Academy is a unique course on the Purdue West Lafayette’s campus. Comprised of 10 community members, 10 students and three facilitators, the course will focus on increasing capacity to be civic agents. Participants in the course will analyze how actions they may take can impact societal issues. As part of the course, participants will meet with local leaders, visit important local sites and engage with local issues. This course will utilize critical reflection and strengths-based assessment. 1.0 Melissa Gruver, Vanessa Pacheco, Ilana Stonebraker 14783 M, 5:30-7:20 KRCH 230
ILS 59000 Ind Study In Info Sciences 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 Kendall Roark 14746 Arr Hrs  
ILS 59500 Digital Ethics This course is for graduate students interested in the intersection of humanities, specifically ethical theory, and the digital. Students will learn basic ethical theories while applying them to various digital topics, which may include the internet, algorithms, autonomous vehicles, artificial intelligence, human-machine interactions, etc. Throughout the course, students will prepare a final summative project concerning a contemporary ethical issue using a digital tool, e.g. Scalar. 3.0 Michael Flierl 14751 T/TH, 3:00-4:15 BRNG 2275
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. 1.0 Kendall Roark, Danielle Walker 14782 F, 2:30-3:20 WALC 3154
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 Megan Sapp Nelson, Chao Cai (LEC) 15824 T, 11:30-12:20 REC 315
Pete Pascuzzi, Chao Cai (LAB) 15822 TH, 1:30-3:20 BRNG B286
ILS 59500 GIS Humanities & Soc Sci Res This course will introduce you the skills of spatial thinking, basic functions of Geography Information Systems (GIS), and spatial research methods that are most relevant to humanities and social science. The course will start with introduction to basic GIS concepts and technology, then move onto GIS applications during research process, including spatial research design, data acquisition, management, visualization, and spatial analytical techniques. The course will use a combined lecture and lab style for most of the classes. In general, there will be a 30-40 minutes lecture period, followed by a 30-40 minutes hands-on lab period. Practical work will be introduced and completed using ESRI ArcGIS Pro software. Course registration is restricted to graduate students and undergraduate seniors ONLY. 3.0 Ningning Kong 17406 T/TH, 10:30-11:45 WALC 3045
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. 1.0 Bethany McGowan, Jason Reed, Jane Yatcilla 17410 MW, 9:30-10:20 WALC 3045
ILS 59500 Sys Rev For Health Sciences In this course, students will put systematic review methodology into practice as they design a publication-ready systematic review protocol. Students will also select and use the appropriate tools to develop a data management plan for their systematic review. 1.0 Bethany McGowan, Jason Reed 17892 MW, 10:30-11:20 WALC 3045
ILS 59500 Info Strat For Entr Innov This course is designed to give students the opportunity to delve deeper into the research skills necessary for successful technology commercialization. In order to determine the commercial feasibility of an idea and to protect the final innovation, entrepreneurs must devote significant resources to research. In this course, students will learn valuable skills such as completing a market analysis, gaining understanding of intellectual property, researching the feasibility of an idea, and learning about Purdue resources available to support students and alumni with taking ideas to market. 1.0 Heather Howard, David Zwicky 20588 W, 10:30-11:20 HIKS G959
ILS 69500 Introducing Digital Humanities 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 (LEC) 21364 T, 12:00-1:15 WALC 3049
Matthew Hannah (LAB) 21365 TH, 12:00-1:15 WALC 3045