IS 590

Fall 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:

My Favorites

My Schedule

Section Status updates every 10 minutes.

IS 590 class schedule data for fall 2019
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
68213	Lecture-Discussion	AV	9:00AM -11:50AM	M	Grad Sch of Lib & Info Science	Jones, J	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: AV Materials Libs & Archives Section Info: All other students need department approval. Email ischool-advising@illinois.edu. ### As analog film, video, and audio materials and playback equipment become obsolete, libraries and archives with audiovisual (AV) materials in their collections face great challenges in preserving these materials. AV preservation and collection is costly, time-consuming, and requires specialized knowledge. This course will discuss the ways that librarians and archivists are responding to the challenges of audiovisual handling, preservation and collection. Laptop Required. [Elective course for Graduate Certificate in Special Collections] Restriction(s): Restricted to Graduate - Urbana-Champaign.
69326	Online	BAO	7:00PM -9:00PM	R	n.a.	Gough, J	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. 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. Restricted to Graduate - Urbana-Champaign.
68991	Online	BBO	7:00PM -9:00PM	M	n.a.	Huot, A	Part of Term: A Date Range: 08/26/19-10/18/19 Degree Notes: ONL Info Science rate course. Section Fee: IS Class Materials $35.00 Flat Fee. Credit: 2 hours Section Title: Bookbinding: Hist, Princ, Prac Section Info: All other students need department approval. Email ischool-advising@illinois.edu. ### A hands-on exploration of multiple styles of bookbinding. Students will acquire fundamental technical knowledge by creating a variety of book structures using traditional tools and materials. An appreciation of the history of bindings will be gained through readings and virtual visits to Rare Book and Manuscript Rooms. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
71795	Lecture-Discussion	DH	6:00PM -8:00PM	W	Grad Sch of Lib & Info Science	Underwood, W	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Digital Humanities Section Info: This is a HYBRID course that meets with IS 590 DHO. Will look at some of the history of digital humanities, examine some case studies of digital tools and methods applied to humanities material in the context of research, and consider the implications of such projects for libraries, both in terms of providing support to their creators and in terms of collecting the results. This course considers fundamental concepts and common technologies to understand how they enable and constrain digital scholarship in the humanities, and to explore the abundant opportunities and challenges that digital projects pose for libraries. Through lectures, discussion, and hands-on use of digital tools and humanities data, students will gain familiarity with the shape and prominent features of the extensive landscape of digital humanities research, along with some of the basic skills required to navigate it. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
71796	Online	DHO	6:00PM -8:00PM	W	n.a.	Underwood, W	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Digital Humanities Section Info: This is a HYBRID course that meets with IS 590 DH. Will look at some of the history of digital humanities, examine some case studies of digital tools and methods applied to humanities material in the context of research, and consider the implications of such projects for libraries, both in terms of providing support to their creators and in terms of collecting the results. This course considers fundamental concepts and common technologies to understand how they enable and constrain digital scholarship in the humanities, and to explore the abundant opportunities and challenges that digital projects pose for libraries. Through lectures, discussion, and hands-on use of digital tools and humanities data, students will gain familiarity with the shape and prominent features of the extensive landscape of digital humanities research, along with some of the basic skills required to navigate it. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
69174	Lecture-Discussion	DST	1:00PM -3:50PM	F	Grad Sch of Lib & Info Science	McDowell, K Turk, M Gao, W Kanengoni, J	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Section Title: Data Storytelling Section Info: MUST CHOOSE 2 or 4 Credit Hours. All other students need department approval. Email ischool-advising@illinois.edu. ### An introduction to understanding data as a source for storytelling and to telling stories based on data. This process will include understanding and analyzing data sets to find informative aspects, changes, or contrasts that will provide the basic information for developing stories. Course participants will learn storytelling concepts, narrative theories, and performance techniques and develop stories in a collaborative workshop style. Students will work with data visualization toolkits, which will involve variable levels of coding and skill. By using storytelling techniques with data, students can develop, and tell well-evidenced stories, organizations can make better data-driven decisions. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
68919	Laboratory-Discussion	DT	9:30AM -12:20PM	R	Grad Sch of Lib & Info Science	Torvik, V Wang, T	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Section Title: Data Mining Section Info: MUST CHOOSE either 2 or 4 Credit Hours. ### 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, & characterization; model fitting, selection, & evaluation; classification, clustering, & 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) & statistical modeling (to separate the signal from the noise). It draws heavily upon a variety of other disciplines including statistics, machine learning, operations research, & information retrieval. Will cover the major data mining concepts, principles, & techniques that every information scientist should know about. Lectures will introduce & discuss the major approaches to data mining; computer lab sessions coupled w/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.
71784	Online	DTO	7:00PM -9:00PM	M	n.a.	He, J	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. 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.
68743	Lecture-Discussion	DV	10:00AM -12:50PM	W	Grad Sch of Lib & Info Science	Turk, M Sathiyanathan, N	Part of Term: 1 Date Range: 08/26/19-12/11/19 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.
69189	Lecture-Discussion	DW	1:00PM -3:50PM	R	Grad Sch of Lib & Info Science	Wonderlich, M	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Data Warehousing and BI Section Info: All other students need department 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 leading to a final project to design a solution for a business case. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
71862	Lecture-Discussion	ED2	4:30PM -5:50PM	R	Krannert Art Museum	Wilson, W	Part of Term: B Date Range: 10/21/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 2 hours Section Title: Exhibit Design & Installation Section Info: This course meets the last 8 weeks of the semester. The opening night of any exhibition is the culmination of many months and sometimes years of planning centered around an initial core idea for a show. After that idea has gelled into a working concept, it is handed to Design and Installation Specialists to see what is really possible. Can we have all the art suspended from wires? Can the ceiling support a replica of a sea mine? Can we devise a secure vitrine for this priceless manuscript? Does this meet ADA restrictions? How will everything fit together? Can we get that look? This course will address how exhibitions attains a specific "look"? This is not a course on developing or curating the information, but rather a course on presenting that information in the most compelling way. We will look at the planning, fabricating, painting, building, and installing are large parts of our work. We also have to consider that nothing, with few exceptions, is permanent. Our work needs to be secure and stable, but also reversible to make way for the next show. We will also survey the conceptual and procedural dimensions of carrying an exhibition through from curatorial musings to the reality of opening night. We will cover the techniques and processes that begin with a dialogue and move into the concrete. We will discuss the "what's possible" response to the initial idea. We will discuss the collaborative aspects of working with Curators, Directors of Cultural Institutions, Registrars, Collections Managers and Architects. The course will be a mix of discussion and hands-on experience with some courses taking place in the Krannert Art Museum workshop.Location: Room 17, Krannert Art Museum Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
68994	Online	ERO	7:00PM -9:00PM	M	n.a.	Oberg, S	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: E-Resources Management Section Info: All other students need department approval. Email ischool-advising@illinois.edu. ### In-depth exploration of current topics in the rapidly changing world of e-resources management in libraries and information centers. Discusses trends, problems, and issues relating to how e- resources are reshaping the entire spectrum of library service. Example areas of focus include open access publishing, scholarly communication, proprietary as well as open source e-resources management systems, licensing and copyright issues, consortia, usage statistics, balancing e- resources with more traditional collections and services, and intellectual access challenges in a highly diffuse information environment. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
71799	Online	EVO	1:00PM -3:00PM	W	n.a.	Hinchliffe, L	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Eval & Assess of Libr Services Section Info: [Evaluation and Assessment of Library Services] Introduction to theories, approaches, and methodologies for evaluation and assessment of library programs and services. Explores assessment and evaluation models through lenses of user needs, policy and compliance, continuous improvement, and performance review as well as communication with stakeholders. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70655	Online	GW2	6:00PM -8:00PM	T	n.a.	Egan, K	Part of Term: A Date Range: 08/26/19-10/18/19 Degree Notes: ONL Info Science rate course. 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. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70500	Online	GWO	6:00PM -8:00PM	M	n.a.	Craig, A	Part of Term: A Date Range: 08/26/19-10/18/19 Degree Notes: ONL Info Science rate course. 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. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70545	Lecture-Discussion	ML	11:00AM -1:50PM	W	Grad Sch of Lib & Info Science	Bosch, N	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. 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. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70557	Lecture-Discussion	OM	2:00PM -3:50PM	R	Grad Sch of Lib & Info Science	Wickes, E	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 2 hours Section Title: Open Data Mashups Section Info: This is a HYBRID course that meets with IS 590 OMO. ### Data sharing & modern open data standards have been creating large repositories of data that remain disconnected. Many data science & machine learning techniques are boosted by incorporating data representing a variety of domains & granularities. Topics on data curation, data cleaning, copyright, web scraping, storage, processing & automation will be reviewed. This course seeks to explore techniques & 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 & experienced in context. Students will select a project area & explore the technical & conceptual requirements of that project space, eventually producing a proof of concept around it. All project domains & area are open, with the only requirement be that they combine several data sources into a new dataset. This course is meant for students who have completed at least two semesters of coursework, are comfortable with programming in Python (the project can be completed in any language, but instruction will be in Python), & desire a space to explore & develop a capstone or independent study project. However, further work on the project is not a requirement. Guest speakers & field experts from the University Library will be invited. Students will be encouraged to share & publish their datasets at the end of the semester. Prerequisites: IS452 or demonstrated programming Experience, 20 hrs of completed coursework. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
71803	Online	OMO	2:00PM -3:50PM	R	n.a.	Wickes, E	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 2 hours Section Title: Open Data Mashups Section Info: This is a HYBRID course that meets with IS 590 OM. For Course Description see IS 590 OM. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
69195	Lecture-Discussion	PR	9:00AM -11:50AM	W	Grad Sch of Lib & Info Science	Weible, J Guan, Y	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. 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 students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
69166	Online	PRO	6:00PM -8:30PM	T	n.a.	Weible, J Guan, Y	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Progr Analytics & Data Process Section Info: Building on the fundamentals introduced in (L)IS 452, this course adds skills, data structures, tools, and patterns needed for developing and modifying software to solve more complex problems and to improve code maintainability and reliability. These skills are relevant to many types of programming, but many scenarios used will involve data analysis, conversion, validation, and 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, and more. Primarily uses the Python language. Prerequisite: (L)IS452; or equivalent programming knowledge, with consent of instructor. Restriction(s): Restricted to Graduate - Urbana-Champaign.
71785	Lecture-Discussion	PV	10:00AM -12:50PM	W	Grad Sch of Lib & Info Science	Bashir, M Wang, Y	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Privacy in the Internet Age Section Info: Open to graduate students campuswide. ### Description: This course will examine the notion of privacy in its historical context, and in relation to existing and projected information/communication technologies and institutional arrangements. Topics covered include the nature of "identity"; protecting personal data; technologies for personal identification, societal surveillance, and privacy enhancement; technologies for describing, monitoring, and controlling levels of privacy; changes in cultural, legal, and policy understandings of privacy and privacy rights; needs for and approaches to privacy protection in a variety of institutions and industries; security-privacy interactions and policy implications; and specific cases such as privacy implications of automated transportation systems, medical records, online behavior, Google Maps, information mining, trans-border data flow, credit card theft, etc. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
71804	Lecture-Discussion	PZ	9:00AM -11:50AM	F	Grad Sch of Lib & Info Science	Weible, J	Part of Term: 1 Date Range: 08/26/19-12/11/19 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.
72422	Lecture-Discussion	SCL	9:00AM -11:50AM	W	Grad Sch of Lib & Info Science	Wickes, E	Date Range: 08/28/19-09/24/19 Degree Notes: ONL Info Science rate course. Credit: 1 hours Section Title: Intro to Command Line Tools Section Info: This class will provide an overview of the history and commonly offered command line interfaces and essential shell scripting tools. These approaches will be extended to cover common version control tools, including git and GitHub, their value, and how to appropriately organize a project within them. We will also review how to submit projects to the Illinois Campus Cluster tool, and touch on situations where it may be valuable to do so. Pre- and Co-requisites: Some programming experience is required, either demonstrated via previous experience or having completed IS 452. Prior IS 452 enrollment or testing out of is recommended. Concurrent enrollment within IS 452 may be acceptable with instructor approval, wickes1@illinois.edu Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
72423	Lecture-Discussion	SHP	9:00AM -11:50AM	W	Grad Sch of Lib & Info Science	Wickes, E	Date Range: 09/25/19-10/22/19 Degree Notes: ONL Info Science rate course. Credit: 1 hours Section Title: Intro Pract Python Stand Libr Section Info: This is a short course introduction to the Python programming language for students with prior intensive programming experience and/or prior coursework on a programming language. This class will introduce students to the fundamental patterns within data-oriented Python programs, core differences between Python and other general purpose programming languages. This is an intensive course that presumes students are comfortable with loops, logic structures, accumulators, and working within programming environments. This course focuses on the Python standard library, and will not cover external tools like Pandas, numpy, sklearn, matplotlib, etc. Pre- and Co-requisites: This class is designed for students who have previous computer science/engineering degrees or related coursework, and have never worked within Python. Students are not allowed to enroll in IS 452 before, during, or after completing this section. Students are not allowed to have taken IS 590 PR before this class, but may be co-enrolled or take that course later. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
68995	Online	WDO	6:30PM -8:30PM	M	n.a.	Hopping, D	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Web Content Strategy & Mngmt Section Info: ### All other students need department approval. Email ischool-advising@illinois.edu. This course focuses on the basics of web site design, content development, constructing web pages with standard HTML and CSS. We will also cover usability and accessibility, content management system options, multi-media and interactivity in the context of standard HTML and CSS, procedures and policies for organizations, with a concentration on public, academic and special libraries. Students will investigate, design, and draft a representative site. Students may work with non-profit and library clients in constructing and redesigning their web sites or design and construct their own personal professional pages. Laptop Required. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
70546	Online	WFO	6:30PM -9:00PM	W	n.a.	Trainor, K	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Web Devel using App Framwrk Section Info: ### Web Development Using Application Framework: A course in the use and evaluation of Web application frameworks for system architects, designers, and developers. 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. Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
69516	Online	X1	ARRANGED	n.a.	n.a.	Lucht, K	Part of Term: 1 Date Range: 08/26/19-12/11/19 Degree Notes: ONL Info Science rate course. Special Approval: Departmental Approval Required Credit: 3 hours Section Title: Code & Power Section Info: Course title: Code & Power Course number: LIS 500 Credit hours: 3 University: UW-Madison iSchool Brief description: Does the Internet flatten the world? How do race, class, gender and other forms of intersectional oppression show up in code? What are the social relationships that structure our Digital Society? Overcoming gaps in information access and participation starts with you. This course combines an introduction to computer scripting with a critical examination of inequality in the contemporary computing industries. Students will increase their computing confidence through interactive hands-on exercises to gain mastery of core scripting concepts applicable to a variety of coding tools (e.g., HTML, PHP, SQL). At the same time, students will learn to design and assess inclusive computing activities and events through hands-on projects. Notes: Start date: Sept. 4 End date: Last class day Dec. 11; exam period ends Dec. 19.
72472	Online	X5	ARRANGED	n.a.	n.a.	Lucht, K	Date Range: 08/27/19-12/23/19 Degree Notes: ONL Info Science rate course. Special Approval: Departmental Approval Required Credit: 3 hours Section Title: Museum Collection Development Section Info: Course title: Museum Collection Development Course number: LBSCI 7903 Credit hours: 3 Faculty: Carey Stumm University: Queens College, Graduate School of Library and Information Studies Course Description: This course will cover the essential elements of the management of museum collections including collection policy, legal and ethical concerns, artifact handling, documentation, information management, preservation, exhibition and access. Museum collections that will be studied include collections of art, history, natural history, science and moving image/multimedia. Course topics will be demonstrated through videos, discussions, case-studies, reading, and various activities. Assignments include researching various topics and discussing them in online forums, a research paper about preservation, a museum exhibit evaluation, creating an online collection record through E-Hive, and two exams. Field trip to a museum exhibit is required. Notes: Start date: 08/27/2019 End date: 12/20/2019 Asynchronous.
72473	Online	X6	ARRANGED	n.a.	n.a.	Lucht, K	Date Range: 10/14/19-12/15/19 Degree Notes: ONL Info Science rate course. Special Approval: Departmental Approval Required Credit: 2 hours Section Title: Seminar in Library Management: Section Info: Course title: Seminar in Library Management: Marketing Your Skills in a Networked World Course number: Info282-11 Credit hours: 2 Faculty: Brown University: San Jose State University Course Description: "This course focuses on two main areas: highlighting your skills and expertise online, and exploring the changing world of library and information careers, specifically alternative careers in library and information work. You will walk away from this course with an approach to effectively making yourself stand out via social tools in a competitive information services and library market, and with a broader understanding of how you might apply your information skills to a variety of positions and settings. For the final project in this fast-moving, eight-week course, you will come away with some kind of online presence - typically a new or improved LinkedIn profile, a blog, or a Twitter feed." Notes: Note for 282-11: This course runs from October 14th - December 9th. Students must meet the school's home computing and technology literacy prerequisites. See https://ischool.sjsu.edu/home-computing-environment.