INFO 490

Spring 2019 All Classes

All Classes

Special Topics

SHOW FINAL EXAM SCHEDULE

Credit: 1 to 4 hours.

Topics of current interest.

1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated if topics vary. Prerequisite: Consent of instructor. Other prerequisites as specified for each topic offering. See Class Schedule.

My Favorites

My Schedule

Section Status updates every 10 minutes.

INFO 490 class schedule data for spring 2019
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
69282	Lecture-Discussion	CHG	11:00AM -12:20PM	TR	182 Armory	Pintar, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Chatbots & Artificial Intel Section Info: INFO 490: Chatbots and Interactive Artificial Intelligence This course addresses the history of chatbots and the field of interactive artificial intelligence. It focuses not on the linguistic aspects of natural language processing in AI, but on underlying ontologies, cultural content and the relationship between bots and the humans with whom they interact. Theoretical questions and controversies regarding AI personhood will also be explored. Students will read from both interdisciplinary social science and works of fiction that illustrate the sociotechnical evolution of interactive AI. At the same time students will learn basic programming skills in a range of languages used to program AI web interfaces, internet chatbots and AI-inflected non-player characters in games. This section is for Graduate students; Undergraduate students should register for section CHU. Restriction(s): Not intended for Undergrad - Urbana-Champaign.
69281	Lecture-Discussion	CHU	11:00AM -12:20PM	TR	182 Armory	Pintar, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 3 hours Section Title: Chatbots & Artificial Intel Section Info: INFO 490: Chatbots and Interactive Artificial Intelligence This course addresses the history of chatbots and the field of interactive artificial intelligence. It focuses not on the linguistic aspects of natural language processing in AI, but on underlying ontologies, cultural content and the relationship between bots and the humans with whom they interact. Theoretical questions and controversies regarding AI personhood will also be explored. Students will read from both interdisciplinary social science and works of fiction that illustrate the sociotechnical evolution of interactive AI. At the same time students will learn basic programming skills in a range of languages used to program AI web interfaces, internet chatbots and AI-inflected non-player characters in games. This section is for Undergraduates; Graduate students should register for section CHG. Restriction(s): Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign.
68730	Laboratory-Discussion	DC	2:00PM -3:20PM	TR	301 Noyes Laboratory	Cermak, D	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 3 hours Section Title: The Video Game Dev Process Section Info: The emphasis of this course is understanding the video game development process as seen in current Game Studios. The course will focus on key elements of the process including each phase of the development timeline, scheduling, prototyping, iteration, QA, game builds and player research. Students will form small teams (4-6 with the goal of using the concepts taught in class to create a video game from a catalog of pre-existing designs. Considering the limited time frame of the semester, the state of the final product is not as important as understanding the game develop cycle. Knowledge of a programming engine (preferably Unity) is desired but not a pre-requisite. Restriction(s): Not intended for students with Freshman class standing.
64015	Online	MH	ARRANGED	n.a.	n.a.	Haberman, M	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 3 hours Section Title: Intro to Prog for Data Science Section Info: NOTE: Enrollment in this class will close on January 21. No new students will be allowed to enroll after that date. Introduction to Programming for Data Science is for students who want to learn about solving problems common in data sciences but have little or no programming experience. The class is asynchronous (students can access material on-line but within specified timeframes) and taught online. Data Science lies at the intersection of statistics and computer science and focuses on extracting information from data. This class will immerse students on topics of software construction, design, programming paradigms and the semantic and syntax of the Python language and then focus on some of the necessary workflows to move raw data into information. The class will explore common Python modules (libraries) used in data science, natural language processing, statistics, mathematics, data management (acquiring, cleaning, reshaping, organizing, persisting) and visualizations. This is ONLINE and ASYNCHRONOUS (there is no regular meeting day/time). Students who have completed INFO 490 RB Foundations of Data Science or INFO 490 RB2 Advanced Data Science should not register for this course as it will be considered duplicate credit (which does not count towards graduation). Restriction(s): Not intended for students with Freshman class standing.
65142	Lecture Laboratory	ML1 ML1	11:00AM -11:50AM ARRANGED	F n.a.	W203 Turner Hall Location Pending	Ginger, J Ginger, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 3 hours Section Title: Makerspace Intro: Open Studio Section Info: This course introduces learners to a variety of rapid prototyping and fabrication techniques in collaboration with the CU Community Fab Lab. Weekly class lecture will introduce students to trends and ideas in Makerspaces, Peer-to-Peer learning, design processes, creativity, computational thinking, and practicing makers. Each week students will be provided a general project prompt and set to work with a tool area in response to a simple design exploration challenge. Over the course of the semester they will have an opportunity to become familiar with the basics of several advanced small-scale manufacturing tools, such as 3D printers, laser engravers, digital embroidery machines, graphic drawing tablets and small board electronics. There is no dedicated lab section time for the course, instead students will be expected to come into open hours (which extend throughout the week/weekend) at the Fab Lab to work on projects by seeking assistance from staff and one another, according to their own schedule each week. While there is no studio fee students will be expected to find, purchase, borrow or otherwise provide their own materials for several projects. The class will have both group and independent work and make use of Moodle for assignment hand-in and peer-feedback. Please note that this course will emphasize self-guided learning and time management, students will need to rely on online tutorials and information resources to explore methods and complete much of the work in a rapid-response fashion. Projects will be small and contained, in order to allow for exposure to several tools and mediums. Students who have taken a prior Makerspace course at the FabLab are eligible to participate in this class, but it is also not a requirement. Graduate students will have an additional documentation project component emphasizing digital literacy. This class is for undergraduate students only, at the sophomore level or higher. Graduate students should enroll in INFO 490 section ML2. Restriction(s): Not intended for students with Freshman class standing. Not intended for Graduate - Urbana-Champaign.
65144	Lecture Laboratory	ML2 ML2	11:00AM -11:50AM ARRANGED	F n.a.	W203 Turner Hall Location Pending	Ginger, J Ginger, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Makerspace Intro: Open Studio Section Info: This course introduces learners to a variety of rapid prototyping and fabrication techniques in collaboration with the CU Community Fab Lab. Weekly class lecture will introduce students to trends and ideas in Makerspaces, Peer-to-Peer learning, design processes, creativity, computational thinking, and practicing makers. Each week students will be provided a general project prompt and set to work with a tool area in response to a simple design exploration challenge. Over the course of the semester they will have an opportunity to become familiar with the basics of several advanced small-scale manufacturing tools, such as 3D printers, laser engravers, digital embroidery machines, graphic drawing tablets and small board electronics. There is no dedicated lab section time for the course, instead students will be expected to come into open hours (which extend throughout the week/weekend) at the Fab Lab to work on projects by seeking assistance from staff and one another, according to their own schedule each week. While there is no studio fee students will be expected to find, purchase, borrow or otherwise provide their own materials for several projects. The class will have both group and independent work and make use of Moodle for assignment hand-in and peer-feedback. Please note that this course will emphasize self-guided learning and time management, students will need to rely on online tutorials and information resources to explore methods and complete much of the work in a rapid-response fashion. Projects will be small and contained, in order to allow for exposure to several tools and mediums. Students who have taken a prior Makerspace course at the FabLab are eligible to participate in this class, but it is also not a requirement. Graduate students will have an additional documentation project component emphasizing digital literacy. This class is for Graduate students only. Undergraduate students should enroll in INFO 490 section ML1. Restriction(s): Restricted to Graduate - Urbana-Champaign.