IS 590

Spring 2020 Part of Term 1

Part of Term 1
Jan 21-May 6

Advanced Problems in Information Sciences

SHOW FINAL EXAM SCHEDULE

Credit: 1 TO 4 hours.

Variety of newly developed and special topics courses on different aspects of the information sciences intended to augment the existing curriculum, offered as sections of IS 590.

Additional fees may apply. See Class Schedule. 1 to 4 graduate hours. No professional credit. May be repeated.

Class materials fee or field trip fee may be required.

This course satisfies the General Education Criteria in Fall 2022 for:

My Favorites

My Schedule

Section Status updates every 10 minutes.

IS 590 class schedule data for spring 2020
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
70392	Lecture-Discussion	CI	11:00AM -12:20PM	TR	131 Grad Sch of Lib & Info Science	Benson, S Ocepek, M	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Copyright for Information Prof Section Info: ### Copyright is a complicated legal concept that affects all information institutions, including corporations, libraries, archives, and museums whether they are online or off. This course will explore copyright from both a legal and information management perspective to demystify the concept and provide practical tools for working with copyrighted material. Topics discussed include the Constitutional underpinnings of copyright, copyright basics, copyright exceptions, fair use, the open access movement, licensing, data and copyright, and educational issues relating to copyright including issues related to K-12 teaching. This course is designed for students with a variety of backgrounds and interests. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70594	Lecture-Discussion	DG	9:00AM -11:50AM	M	53 Grad Sch of Lib & Info Science	Darch, P	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Section Title: Data Governance Section Info: MUST CHOOSE either 2 or 4 Credit Hours. The course will address issues of data governance, including data ethics, and design and implementation of policy responses and best practices. Topics include privacy, discrimination, data sharing, data quality, and building a diverse workforce. These topics will be explored through real-world cases in corporate settings, libraries, non-profits, healthcare, governments, and academe. The course will also cover principles and frameworks for analyzing and responding to issues. The course is suitable for anyone planning to work in a professional setting that will involve handling data or building information systems, or seeking a grounding for future study of data and information ethics. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
67395	Laboratory-Discussion	DT	2:00PM -4:50PM	F	126 Grad Sch of Lib & Info Science	He, J	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Data Mining Section Info: ### Data mining refers to the process of exploring large datasets with the goal of uncovering interesting patterns. This process usually involves a number of tasks such as data collection, pre-processing, and characterization; model fitting, selection, and evaluation; classification, clustering, and prediction. Although data mining has its roots in database management, it has grown into a discipline that focuses on algorithm design (to ensure computational feasibility) and statistical modeling (to separate the signal from the noise). It draws heavily upon a variety of other disciplines including statistics, machine learning, operations research, and information retrieval. Will cover the major data mining concepts, principles, and techniques that every information scientist should know about. Lectures will introduce and discuss the major approaches to data mining; computer lab sessions coupled with assignments will provide hands-on experience with these approaches; term projects offer the opportunity to use data mining in a novel way. Mathematical detail will be left to the students who are so inclined. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70285	Online	DTO	8:00PM -10:00PM	R	n.a.	Torvik, V	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Data Mining Section Info: For Course Description see IS 590 DT. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
67973	Lecture-Discussion	DV	9:00AM -11:50AM	M	218 Ceramics Building	Naiman, J	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Data Visualization Section Info: ### Data visualization is crucial to conveying information drawn from models, observations or investigations. This course will provide an overview of historical and modern techniques for visualizing data, drawing on quantitative, statistical, and network-focused datasets. Topics will include construction of communicative visualizations, the modern software ecosystem of visualization, and techniques for aggregation and interpretation of data through visualization.Particular attention will be paid to the Python ecosystem and multi-dimensional quantitative datasets. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
67396	Lecture-Discussion	DW	1:00PM -3:50PM	R	126 Grad Sch of Lib & Info Science	Wonderlich, M	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Data Warehousing and BI Section Info: ###This course examines the construction of a data warehouse and business intelligence system. It will review the roles and requirements of building the system, including data modelling and business intelligence product design. This course will explore real-world case studies of data warehouse and business intelligence projects through hands-on experience with data modelling, Business Objects, Power BI and Tableau. The course culminates with a final project to design a solution for a business case. Graduate students in other departments may register with approval; please email your request to ischool-advising@illinois.edu Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
67521	Online	ELO	6:00PM -8:00PM	T	n.a.	Wong, M	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Section Title: E-Learning Section Info: MUST CHOOSE 2 or 4 credit hours. ### Provides an introduction to a wide variety of online learning methods, including videos, multimedia tutorials, webinars, and online courses (including synchronous, asynchronous, and hybrid models) with a focus on their use in libraries and information centers. The course will prepare students to develop patron-oriented e-learning resources and to lead online courses following best practices. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70534	Lecture-Discussion	HCS	2:00PM -4:50PM	M	131 Grad Sch of Lib & Info Science	Chin, J Wang, Y Weible, J	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Human Centered Info Systems Section Info: This course provides students the fundamental theory and skills necessary to design, develop, and evaluate human centered information systems. By the end of the course students will be able to gather user needs in light of existing sociotechnical systems, design effective human centered interfaces, implement interactive prototypes, and conduct unit testing and user studies of software. The course will employ lectures, mini projects and in-class hands-on activities to reinforce the ideas presented. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
69205	Lecture-Discussion	IH	11:00AM -12:50PM	T	242 Grad Sch of Lib & Info Science	Mak, B	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Information History Section Info: This is a hybrid course that meets with IS 590 IHO. ### Drawing on research in varied historical specializations, information history has become a vibrant area of study, one that improves our understanding, moreover, of today's information universe. Information history covers diverse institutions and practices -- from libraries and the book to the telegraph and postal systems, from surveillance to cartography, from documentary culture to statistical surveys -- seeking to connect them with the major developmental processes of human history. Framed in a succession of major historical epochs, topics and trends, from Antiquity to the twentieth century, this course revises our sense of the historical record by situating information explicitly within it. Graduate students in other departments may register with approval; please email ischool-advising@illinois.edu Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
69206	Online	IHO	11:00AM -12:50PM	T	n.a.	Mak, B	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Information History Section Info: This is a hybrid course that meets with IS 590 IH. ### Drawing on research in varied historical specializations, information history has become a vibrant area of study, one that improves our understanding, moreover, of today's information universe. Information history covers diverse institutions and practices -- from libraries and the book to the telegraph and postal systems, from surveillance to cartography, from documentary culture to statistical surveys -- seeking to connect them with the major developmental processes of human history. Framed in a succession of major historical epochs, topics and trends, from Antiquity to the twentieth century, this course revises our sense of the historical record by situating information explicitly within it. Graduate students in other departments may register with approval; please email your request to ischool-advising@illinois.edu Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70442	Lecture-Discussion	KI	1:00PM -3:50PM	R	131 Grad Sch of Lib & Info Science	Mak, B Schneider, J	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Knowledge Infrastructures Section Info: THINKING AND DOING: MAKING KNOWLEDGE INFRASTRUCTURES VISIBLE. This seminar features various exercises of thinking and doing as a way to investigate knowledge infrastructures. Through readings and hands-on practice, we will examine how academia, the scientific experiment, bureaucratic administration, databases, and algorithms (and others) continue to shape our understanding of what constitutes information. Particular attention shall be paid to gender, indigenous knowledge practices, and embodiment. In keeping with the topic of the course, the major assignment can be a traditional paper or other performance of thinking and doing. Graduate students in other departments may register with approval; please email your request to ischool-advising@illinois.edu Restriction(s): Restricted to Graduate - Urbana-Champaign.
70493	Lecture-Discussion	LG	9:30AM -10:50AM	TR	46 Grad Sch of Lib & Info Science	Dubin, D	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Section Title: Library Gaming Programs Section Info: MUST CHOOSE either 2 or 4 Credit Hours. Covers the design, implementation, assessment, marketing, and sustainment of gaming programs in public, school, and academic libraries, and other community or institutional settings. Surveys games for different demographic groups, and explores methods for integration of gaming with other library programming. Reviews the history of recreational gaming and the use of games in research, educational, and clinical contexts. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70494	Online	LGO	5:00PM -7:00PM	M	n.a.	Dubin, D	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Section Title: Library Gaming Programs Section Info: MUST CHOOSE either 2 or 4 Credit Hours. Covers the design, implementation, assessment, marketing, and sustainment of gaming programs in public, school, and academic libraries, and other community or institutional settings. Surveys games for different demographic groups, and explores methods for integration of gaming with other library programming. Reviews the history of recreational gaming and the use of games in research, educational, and clinical contexts. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
67688	Lecture-Discussion	MD	9:00AM -11:50AM	W	131 Grad Sch of Lib & Info Science	Wang, Y	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Methods for Data Science Section Info: Prerequisites are LIS/IS542 or equivalent (e.g. intro probability/stats STAT 100, CS361, or ECON 202) and LIS490IDS/CS398IDS/STAT430IDS or CS101 or equivalent; or consent of the instructor. Linear Algebra recommended at the level of MATH 125 or higher; Calculus recommended at the level of MATH 220. ### A dramatic increase in computing power has enabled new areas of data science to develop in statistical modeling and analysis. These areas cover predictive and descriptive learning bridge ideas and theory in statistics, computer science and artificial intelligence. We will cover many of these new methods including predictive learning such as estimating models from data to predict future outcomes, notably regression and classification models. Regression topics include linear regression with recent advances to deal with large numbers of variables, smoothing techniques, additive models, and local regression. Classification topics include discriminant analysis, logistic regression, support vector machines, generalized additive models, naive Bayes, mixture models and nearest neighbor methods. Lastly we develop neural networks and deep learning techniques, bridging the theory introduced in the earlier parts of the class to purely empirical methods. We situate these methods in the "data science lifecycle" as part of the larger set of practices in the discovery and communication of scientific findings. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
67402	Lecture	OH	9:00AM -11:50AM	W	242 Grad Sch of Lib & Info Science	La Barre, K	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Oral History Section Info: ### Introduces the theory and practice of oral history to graduate students in history, communication, library and information science and related fields through reading, discussion and practice with field work and interviewing. Over the last fifty years, oral history has moved from a controversial (and sometimes despised) technique on the margins of the discipline history, to one of the most important forms of historical knowledge production and dissemination in the academic and non-academic worlds. Yet its goals and relations to the communities it touches are often less than clear. Examines oral historical works, some canonical, some experimental, produced by historians, anthropologists, folklorists, sociologists and political activists. Up for discussion are questions of orality and literacy, privileged versus marginal histories, the problem of memory, problems of listening and learning how to ask, and debates about audience and presentation. Readings will cross continents (the Americas, Europe, Africa, South America) and historical periods from the 18th through the 21st centuries. Graduate students in other departments may register with approval; please email your request with your UIN to ischool-advising@illinois.edu Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
67401	Lecture-Discussion	PC	4:00PM -6:50PM	W	ARR Grad Sch of Lib & Info Science	Ferris, Q Teper, J	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Presv & Consv Spec Colls Care Section Info: This course meets at the Conservation Lab located at 809 S. Oak St., Champaign. Preservation and Conservation for Special Collections Care ### This course is meant to build on previous coursework in Preservation, Special Collections and/or Rare Book Curation, will focus on the physical structure and chemical composition of book, paper, and photographic materials. Students will learn how historic and modern library and archives materials are produced, how they age and potentially deteriorate, and different approaches for their physical care. Class work will be split between traditional lectures and readings as well as hands-on projects in book construction and minimally invasive treatments and stabilization mechanisms. The goal will be to educate students to a level at which they can effectively communicate with conservation and preservation professionals, as well as set educated priorities and expectations for the care of their collections. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
69359	Lecture-Discussion	PD	11:00AM -12:20PM	TR	46 Grad Sch of Lib & Info Science	Brooks, I	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Practical Health DataAnalytics Section Info: ### This course provides hands-on experience with practical data analysis. Datasets will be drawn from the health sector and will include structured, unstructured, social media, and geospatial data. Students will work in teams to refine the project question, identify the appropriate analytical methods, obtain any necessary supplemental data from online sources, perform the analysis, visualize the results, and present the project to stakeholders. Teams will be assigned based on analytical skill-level from basic statistics to advanced machine learning. Students should have taken an introduction to statistics class, but no prior experience in the health domain is required. Restriction(s): Restricted to Graduate - Urbana-Champaign.
70444	Online	PLO	1:00PM -3:00PM	T	n.a.	Holba Puacz, J	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Public Librarianship Section Info: Explores the philosophy, history, and function of public libraries. Examines current practices of public library management as they relate to organization, administration, operation, services and facilities. Studies current conditions and issues, as well as planning to ensure responsive development. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
67403	Lecture-Discussion	PR	9:00AM -11:50AM	W	126 Grad Sch of Lib & Info Science	Weible, J	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Progr Analytics & Data Process Section Info: Prerequisite: LIS/IS452; or equivalent programming knowledge, w/consent of instructor. ### Building on the fundamentals introduced in LIS/IS452, this course adds skills, data structures, tools, & patterns needed for developing & modifying software to solve more complex problems & to improve code maintainability & reliability. These skills are relevant to many types of programming, but many scenarios used will involve data analysis, conversion, validation & processing pipelines. The course helps prepare students for work on larger projects with multiple developers. Includes test-driven design, more OOP design concepts, refactoring, profiling, introductory parallel processing & more. Primarily uses the Python language. Graduate students in other departments may register with approval; please email your request to ischool-advising@illinois.edu Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70394	Lecture-Discussion	PZ	9:00AM -11:50AM	F	131 Grad Sch of Lib & Info Science	Weible, J	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Data Str & Algorithms: Puzzles Section Info: Prerequisites: Previously taken three programming courses and have moderate skill in Python before enrolling. Learn, experiment, code with, and compare performance of common data structures and algorithms in a fun, collaborative, and challenging context. In class, students will solve or play and discuss several types of logic puzzles and strategy games. In small teams they will explore the deductive, strategic, and tactical decisions involved, select appropriate data structures & algorithms to develop efficient program solutions to automate playing, solving, generating, or analyzing puzzles & games. Techniques used include analysis of efficiency (Big-O, Big-theta), recursion, minimax, Monte Carlo Tree Search, client/server network communications, deterministic vs non-deterministic algorithms. Structures used include arrays, matrices, hash tables, stacks, various trees, network graphs, and custom structures. For some projects, students will have competitions pitting their solutions against other teams’. Primarily based in the Python language, though students may also use others. Intended for IS students who have not formally studied algorithm efficiency & data structures or as a reinforcement of those concepts through applied practice. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
67431	Lecture-Discussion	QM	2:00PM -4:50PM	T	131 Grad Sch of Lib & Info Science	Kendall, L	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Qualitative Methods Research Section Info: Survey of strategies of qualitative inquiry, considering methods of collecting, analyzing, interpreting, and reporting data. Graduate students in other departments may register with approval; please email your request to ischool-advising@illinois.edu Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
69227	Online	WFO	6:30PM -9:00PM	W	n.a.	Trainor, K	Part of Term: 1 Date Range: 01/21/20-05/06/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Web Devel using App Framwrk Section Info: ### Prerequisties: Experience in creating static Web sites using HTML and CSS. Experience in Python programming (IS452 or equivalent), Experience in creating dynamic Web sites using tools like PHP is helpful but not required. Experience in using relational databases is helpful but not required. Web Development Using Application Framework: A course in the use and evaluation of Web application frameworks for system architects, designers, and developers. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
68196	Online	X7	ARRANGED	n.a.	n.a.	Lucht, K	Part of Term: 1 Date Range: 01/23/20-05/11/20 Degree Notes: ONL Info Science rate course. Special Approval: Departmental Approval Required Credit: 3 hours Section Title: Encoded Archival Description Section Info: Seminar in Archives and Records Management: Encoded Archival Description (EAD) - This class will cover Encoded Archival Description (EAD), version EAD3, and provide a brief overview of Encoded Archival Context (EAC), the international standards for the presentation of archival descriptive information on the World Wide Web. A primer on additional developments in the managing and publishing of archives information is also included. A WISE course; requires consent of Graduate Studies Advisor to enroll (klucht@illinois.edu). Meets asynchronously through San Jose State University School of Information, INFO 284-EAD, Jan 23 - May 11, 2020.