IS 590

Spring 2019 All Classes

All Classes

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:

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IS 590 class schedule data for spring 2019
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
69285	Lecture	ADV	1:00PM -3:50PM	M	Grad Sch of Lib & Info Science	Turk, M	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Advanced Data Visualization Section Info: In this seminar-style course we will discuss advanced topics in visualization techniques. This will cover topics such as the history of visualization techniques, the perception and understanding of visual information, and new frontiers in displaying quantitative information. We will explore the modern technical stack for creating and sharing visualizations, including topics in javascript, python, and reactive frameworks. Prereqs: programming courses. Students are expected to either be familiar with, or be prepared to familiarize themselves with, Python, Javascript, GitHub, and other computational tools. Data Viz (IS590DV) is optional, but encouraged. Restriction(s): Restricted to students in the Information Sciences department.
69300	Online	APO	6:30PM -9:00PM	M	n.a.	Trainor, K	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Agile Project Management Section Info: ### This course provides the student with two important opportunities. The first of these opportunities is to work with a small team of classmates to project manage, gather requirements for, design, build, test, and install an information system solution for an actual client. The second opportunity is to learn the language, tools, and techniques of agile project management. Emphasis will be placed on employing agile software development practices including automated testing, continuous integration, and test-driven development. Prerequisites: • Experience in creating static Web sites using HTML and CSS • Experience in programming (IS452 or equivalent) • Experience in creating dynamic Web sites using tools like Django, Flask, Drupal, or PHP is helpful but not required. • Experience in using relational databases is helpful but not required. Restriction(s): Restricted to students in the Information Sciences department.
69222	Online	BA2	7:00PM -9:00PM	T	n.a.	Gough, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Business Analytics Section Info: All other students need department approval. Email ischool-advising@illinois.edu. ### A foundational course in practical data analytics for the beginner. Students will be introduced to current data analysis tools and techniques for the querying, transformation, summarization, visualization, and modeling of data. Concurrently, the course will explore the terminology and theory behind data analysis and delve into the soft skills required to become an analytics advocate in the workplace. Tools used will include R, MySQL, and Tableau. No prior experience is assumed. Restriction(s): Not intended for students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
67623	Online	BAO	7:00PM -9:00PM	R	n.a.	Gough, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Business Analytics Section Info: All other students need department approval. Email ischool-advising@illinois.edu. ### A foundational course in practical data analytics for the beginner. Students will be introduced to current data analysis tools and techniques for the querying, transformation, summarization, visualization, and modeling of data. Concurrently, the course will explore the terminology and theory behind data analysis and delve into the soft skills required to become an analytics advocate in the workplace. Tools used will include R, MySQL, and Tableau. No prior experience is assumed. Restriction(s): Restricted to students in the Information Sciences department.
69260	Online	CAO	4:00PM -6:00PM	M	n.a.	Voss, A	Part of Term: B Date Range: 03/11/19-05/01/19 Credit: 2 hours Section Title: Community Archives Section Info: Prerequisites LIS 581, or consent of instructor. ### Community Archives are a collection of material that documents one or many aspects of a community's heritage, collected and preserved by that community and its members. These materials tell the story of groups of people who have often been excluded from mainstream archives, which have tended to focus on official documents and the lives of elites. We will investigate the role community archives play in supporting a sense of heritage and identity amongst members of a community and how they serve to raise awareness of these neglected stories in the wider public. Will work with local organizations that have agreed to take part, and students will contribute to the work of their archives by assisting in identifying records of long term value, documenting the experience of its members, providing the organization with practical and affordable solutions within a framework of best practice of archives and records management, and working collaboratively with the organizations to secure the long-term viability of their documentary heritage.
69256	Lecture-Discussion	CC	5:00PM -7:50PM	W	Grad Sch of Lib & Info Science	Saiger, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Intro to Cloud Computing Section Info: ### This course covers various aspects of cloud computing. Given the variety of cloud computing services, this course will focus on exposure to as many practical scenarios as possible. Infrastructure-as-a-Service, Platform-as-a-Service, Software-as-a-Service, Public Cloud, Private Cloud, Hybrid Cloud, APIs and data security will all be some of the key concepts covered in this course. At the conclusion of this course, students will have had practical experience in selecting and utilizing a cloud solution. Restriction(s): Restricted to students in the Information Sciences department.
69719	Laboratory-Discussion	CD	7:00PM -8:50PM	W	Gregory Hall	Chan, A	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Community Data Section Info: ### Lab-based seminar and class studying best practices in participatory design, civic data research, and community data application and outreach. The class will engage new methods in blending qualitative and quantitative data collection, assessment and visualization, to explore how diversified data collections can inform civic decision making, public policy, community engagement, and the design of infrastructures for public participation. During the semester, we will engage collaborations with local government, community groups, civic associations, and local civic stakeholders to build skills in collecting, assessing, evaluating and communicating insights drawn from diverse forms of data. Suitable for students pursuing professional and research-oriented careers. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
69259	Lecture-Discussion	CI	10:00AM -12:50PM	W	Grad Sch of Lib & Info Science	Benson, S Ocepek, M	Part of Term: A Date Range: 01/14/19-03/08/19 Credit: 2 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.
67626	Online	CRO	4:30PM -7:00PM	M	n.a.	Tilley, C	Part of Term: B Date Range: 03/11/19-05/01/19 Credit: 2 hours Section Title: Comics: Advising Readers Section Info: ### Comics--in forms including comic strips, comic books, graphic novels, webcomics, and manga--represent an important cultural medium, which appeals to persons of all ages and is collected by many school, public, and academic libraries. This course introduces students to the comics medium, its history, and its cultural influences. Students will read a variety of comics and learn about materials and techniques key to providing reader's advisory in this medium. Although this course focuses on American comics, some readings and discussions will touch on this medium's international dimensions. Restriction(s): Restricted to students in the Information Sciences department.
67395	Laboratory-Discussion	DT	9:30AM -12:20PM	W	Grad Sch of Lib & Info Science	Guan, Y Torvik, V	Part of Term: 1 Date Range: 01/14/19-05/01/19 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 Graduate - Urbana-Champaign.
67973	Lecture-Discussion	DV	9:00AM -11:50AM	M	Grad Sch of Lib & Info Science	Christensen, A	Part of Term: 1 Date Range: 01/14/19-05/01/19 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.
69194	Online	DVO	5:30PM -7:30PM	R	n.a.	Naiman, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 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.
67396	Lecture-Discussion	DW	1:00PM -3:50PM	R	Grad Sch of Lib & Info Science	Wonderlich, M	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Data Warehousing and BI Section Info: All other students need departmental approval. Email ischool-advising@illinois.edu. ###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. Restriction(s): Restricted to Graduate - Urbana-Champaign.
67521	Online	ELO	6:15PM -8:15PM	T	n.a.	Wong, M	Part of Term: 1 Date Range: 01/14/19-05/01/19 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.
67972	Lecture-Discussion	ET	9:00AM -11:50AM	M	Grad Sch of Lib & Info Science	Kendall, L	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Information Ethics Section Info: ### This course will introduce students to major ethical theories and their application to the design, management, and use of information and information technologies. Some of the topics and issues considered include: professional ethics, intellectual property, privacy, data mining, and information access. Restriction(s): Restricted to Graduate - Urbana-Champaign.
69865	Lecture-Discussion	ETC	4:00PM -5:20PM	MW	Engineering Hall	Bashir, M Campbell, R Choi, D	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Ethical Thinking-Cyber Space Section Info: Innovative approaches to cybersecurity education are needed to equip professionals to be technologically savvy as well as ethically minded and capable of meeting the heavy burden of responsibility that comes with increased technological skills and access to sensitive data. This course will address this need through a case study based ethics curriculum for cybersecurity. The curriculum will immerse students in real-life ethical dilemmas inherent to cybersecurity and engage them in open dialogue and debate within a community of ethical practice. The curriculum will be designed to develop critical reasoning skills in addition to other “soft skills” vital for cybersecurity professionals. Specific curricular objectives include: Increased awareness of the complex web of consequences that cybersecurity professionals are prone to encounter Development of critical reasoning skills that will allow students to become more sophisticated in their ethical reasoning abilities and responses Development of collaborative problem solving and communication skills Fostering and establishing a culture of dialogue around complex ethical dimensions of cybersecurity Restriction(s): Restricted to Graduate - Urbana-Champaign.
69530	Online	GW2	6:00PM -8:00PM	M	n.a.	Egan, K	Part of Term: A Date Range: 01/14/19-03/08/19 Credit: 2 hours Section Title: Grant Writing for Libraries Section Info: ### An introduction to the craft of writing and submitting successful grant applications. Grant writing is critical for multi-type libraries, nonprofit information entities, and other service-based organizations. Through a combination of individual and group assignments, and peer and instructor review, students will learn how to identify grant sources and strategically target their writing to those sources.
69564	Online	GW3	6:00PM -8:00PM	R	n.a.	Craig, A	Part of Term: B Date Range: 03/11/19-05/01/19 Credit: 2 hours Section Title: Grant Writing for Libraries Section Info: ### An introduction to the craft of writing and submitting successful grant applications. Grant writing is critical for multi-type libraries, nonprofit information entities, and other service-based organizations. Through a combination of individual and group assignments, and peer and instructor review, students will learn how to identify grant sources and strategically target their writing to those sources.
69195	Online	GWO	6:00PM -8:00PM	R	n.a.	Craig, A	Part of Term: A Date Range: 01/14/19-03/08/19 Credit: 2 hours Section Title: Grant Writing for Libraries Section Info: ### An introduction to the craft of writing and submitting successful grant applications. Grant writing is critical for multi-type libraries, nonprofit information entities, and other service-based organizations. Through a combination of individual and group assignments, and peer and instructor review, students will learn how to identify grant sources and strategically target their writing to those sources.
69205	Lecture-Discussion	IH	1:00PM -2:50PM	T	Grad Sch of Lib & Info Science	Mak, B	Part of Term: 1 Date Range: 01/14/19-05/01/19 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. Restriction(s): Restricted to Graduate - Urbana-Champaign.
69206	Online	IHO	1:00PM -2:50PM	T	n.a.	Mak, B	Part of Term: 1 Date Range: 01/14/19-05/01/19 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. Restriction(s): Restricted to Graduate - Urbana-Champaign.
67688	Lecture-Discussion	MD	1:00PM -3:50PM	M	Grad Sch of Lib & Info Science	Torvik, V	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Methods for Data Science Section Info: Prerequisites are LIS542 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 Graduate - Urbana-Champaign.
69166	Lecture	ML	1:00PM -3:50PM	F	Grad Sch of Lib & Info Science	Bosch, N	Part of Term: 1 Date Range: 01/14/19-05/01/19 Special Approval: Instructor Approval Required Credit: 4 hours Section Title: Machine Learning Team Projects Section Info: Instructor approval needed, email pnb@illinois.edu. Prerequisites: Demonstrated ability and must have taken one of the following courses, IS 590-Data Mining, IS 590-Methods in Data Science, CS 412-Introduction to Data Mining, CS 446-Machine Learning. ### In this course students will build upon their previously acquired skills in machine learning to undertake a variety of team-based project which apply appropriate machine learning techniques to one or more real-world datasets to gain useful actionable insights. Teams will also document their analyses and findings, explaining the strengths weaknesses and reliability of their approaches.
67402	Lecture	OH	9:00AM -11:50AM	W	Grad Sch of Lib & Info Science	La Barre, K	Part of Term: 1 Date Range: 01/14/19-05/01/19 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. Restriction(s): Restricted to Graduate - Urbana-Champaign.
69230	Lecture-Discussion	OM	2:00PM -4:00PM	R	Grad Sch of Lib & Info Science	Wickes, E	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 2 hours Section Title: Open Data Mashups Section Info: This is a hybrid course that meets with IS 590 OMO. ### Data sharing and modern open data standards have been creating large repositories of data that remain disconnected. Many data science and machine learning techniques are boosted by incorporating data representing a variety of domains and granularities. Topics on data curation, data cleaning, copyright, web scraping, storage, processing, and automation will be reviewed. This course seeks to explore techniques and perspectives of combining various data sources to create a dataset ready for analysis, but in a project oriented space so that each topic is synthesized with practice and experienced in context. Students will select a project area and explore the technical and conceptual requirements of that project space, eventually producing a proof of concept around it. All project domains and area are open, with the only requirement be that they combine several data sources into a new dataset.
69365	Online	OMO	2:00PM -4:00PM	R	n.a.	Wickes, E	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 2 hours Section Title: Open Data Mashup Section Info: This is a hybrid course that meets with IS 590 OM. Restriction(s): Restricted to MS:Lib & Inf Sci Online-UIUC or MS: Information Mgt Onl -UIUC.
67401	Lecture-Discussion	PC	4:00PM -6:50PM	W	Location Pending	Ferris, Q Teper, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Presv & Consv Spec Colls Care Section Info: Preservation and Conservation for Special Collections Care - This course meets at the Conservation Lab located at 809 S. Oak St., Champaign. ### 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. An additional course materials fee will be assessed to the student's tuition & fees bill. Restriction(s): Restricted to Graduate - Urbana-Champaign.
69359	Lecture-Discussion	PD	9:00AM -11:50AM	M	Grad Sch of Lib & Info Science	Brooks, I	Part of Term: 1 Date Range: 01/14/19-05/01/19 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.
67403	Lecture-Discussion	PR	9:00AM -11:50AM	R	Grad Sch of Lib & Info Science	Weible, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Progr Analytics & Data Process Section Info: All other students need department approval. Email ischool-advising@illinois.edu. 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. Restriction(s): Restricted to Graduate - Urbana-Champaign.
69270	Lecture-Discussion	TH	9:30AM -11:45AM	T	Grad Sch of Lib & Info Science	Renear, A	Part of Term: 1 Date Range: 01/14/19-05/01/19 Special Approval: Instructor Approval Required Credit: 4 hours Section Title: Theories of Information Section Info: Instructor approval needed, email renear@illinois.edu. Open to graduate students campus-wide. Although there are no specific prerequisites some elementary familiarity with conceptual modeling languages (such as ER or UML) and elementary symbolic logic is recommended. ### This seminar takes up the question "What is information?" and explores a theory of information that is based on a combination of insights from philosophical logic (e.g. Frege and Church) and social pragmatics (e.g. Grice and Searle), and on elements adapted from the model for bibliographic entities developed by the International Federation of Library Associations: Functional Requirements for Bibliographic Records (FRBR). Restriction(s): Restricted to Graduate - Urbana-Champaign.
67405	Lecture-Discussion	TX	1:00PM -3:50PM	F	Grad Sch of Lib & Info Science	Blake, C	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Text Mining Section Info: ### This course introduces students to the knowledge discovery process and methods used to mine patterns from a collection of text. We will critically review text mining methods developed in the knowledge discovery and databases, information science, and computational linguistics communities. Students will develop proficiency with modeling text through individual projects. Restriction(s): Restricted to Graduate - Urbana-Champaign.
69227	Online	WFO	6:30PM -9:00PM	W	n.a.	Trainor, K	Part of Term: 1 Date Range: 01/14/19-05/01/19 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.
69641	Online	Z6	ARRANGED	n.a.	n.a.	Lucht, K	Date Range: 01/24/19-02/21/19 Special Approval: Departmental Approval Required Credit: 1 hours Section Title: Sem Lib Mngmt: Polit Advcy Section Info: Resources and Information Services in Professions and Disciplines: Maps & GIS - This course is the examination of geospatial resources for, and services to, professions and disciplines. Specifically, geoliteracy is defined and explored since maps communicate visually on a grid in print or digital formats. You will get to know the information needs of people who use maps and duties of map librarians who help to locate maps, geospatial data and imagery. See http://ischool.sjsu.edu/current-students/technology-support/home-computing-environment. WISE course; requires consent of Graduate Studies Advisor to enroll (klucht@illinois.edu). Meets asynchronously through San Jose State University, INFO 220-01, Feb. 11 - April 14, 2020. The instructor is H. Chen
69642	Online	Z7	ARRANGED	n.a.	n.a.	Lucht, K	Date Range: 01/22/19-05/06/19 Special Approval: Departmental Approval Required Credit: 3 hours Section Title: Information Architecture Section Info: Information Architecture provides an overview of the fundamentals of information architecture (IA) and User Experience Design (UX), as well as opportunities to use these concepts in practice. The course looks at the ways in which traditional library science skills and knowledge, such as the organizing and classifying of information, and knowledge of the behavior of information seekers apply to web design. The course also introduces the concepts of web standards, usability and accessibility, project planning, project management, web evaluation, and website design as an ongoing, iterative process. WISE course; requires consent of Graduate Studies Advisor to enroll (klucht@illinois.edu). Meets asynchronously through The University of Wisconsin-Madison SLIS, Class identifier 646, Jan. 22 - May. 3, 2019. The instructor is Debra Shapiro.
69644	Online	Z8	ARRANGED	n.a.	n.a.	Lucht, K	Date Range: 02/25/19-04/14/19 Special Approval: Departmental Approval Required Credit: 1 hours Section Title: Linked Data Section Info: This course teaches the fundamentals of linked data ("Semantic Web") technologies. It includes reading linked data graphs, reading and writing various linked data syntaxes (N-Triples, Turtle, RDF/XML, microdata), understanding and using common linked data vocabularies, and SPARQL querying. WISE course; requires consent of Graduate Studies Advisor to enroll (klucht@illinois.edu). Meets asynchronously through The University of Wisconsin-Madison SLIS, LIS 640, Feb. 25 - April 7, 2019. The instructor is Dorothea Salo.