INFO 490

Fall 2021 All Classes

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Credit: 0 TO 4 hours.

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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.

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INFO 490 class schedule data for fall 2021
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
71624	Laboratory	AB1	2:00PM -3:50PM	T	FAB LAB Art-East Annex, Studio 2	Butt, E	Part of Term: 1 Date Range: 08/23/21-12/08/21 Section Title: Makerspace Intro: Open Studio
71625	Laboratory	AB2	11:00AM -12:50PM	W	FAB LAB Art-East Annex, Studio 2	Butt, E	Part of Term: 1 Date Range: 08/23/21-12/08/21 Section Title: Makerspace Intro: Open Studio
71626	Laboratory	AB3	2:00PM -3:50PM	R	FAB LAB Art-East Annex, Studio 2	Butt, E	Part of Term: 1 Date Range: 08/23/21-12/08/21 Section Title: Makerspace Intro: Open Studio
68913	Online Lecture	ALG	11:00AM -11:50AM	M	n.a.	Butt, E	Part of Term: 1 Date Range: 08/23/21-12/08/21 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. 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; students will need to come into FabLab open hours outside of normal lab times to complete projects. Projects will be small and contained, in order to allow for exposure to several tools and mediums. Students who have taken a different Makerspace course at the FabLab previously 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. Undergraduates should enroll in INFO 490 section ALU (CRN 65245). Restriction(s): Not intended for Undergrad - Urbana-Champaign.
65245	Online Lecture	ALU	11:00AM -11:50AM	M	n.a.	Butt, E	Part of Term: 1 Date Range: 08/23/21-12/08/21 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. 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; students will need to come into FabLab open hours outside of normal lab times to complete projects. 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. This class is for undergraduate students only, at the sophomore level or higher. Graduate students should enroll in INFO 490 section ALG (CRN 68913). Restriction(s): Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign.
62221	Lecture-Discussion	ERG	1:00PM -3:50PM	M	FAB LAB Art-East Annex, Studio 2	Baird, D Butt, E	Part of Term: 1 Date Range: 08/23/21-12/08/21 Credit: 4 hours Section Title: Makerspace: Escape Rooms Section Info: This course will explore the intersection of storytelling, interaction design, and user experience through the design of escape rooms. In the past couple years escape rooms have been on the rise, changing from simple locked boxes in an open room to complex adventures spanning multiple rooms involving electronics, sound design, storytelling, and even live actors. This class will be primarily focusing on the manufacturing and electronics work that goes into making an immersive escape room experience. Over the span of the course, students will become familiar with the basics of several advanced small-scale manufacturing tools, such as laser engravers, electronic cutters, and 3D printers/scanners. The primary focus, however, will be a more in depth exploration of small board electronics – such as Arduino and IoT programming – and hardware – such as sensors, servos, LEDs, and other components. This section is for Graduate students only. Undergraduate students should register for CRN 62218. Course materials and assignments will be hosted on Moodle at learn.illinois.edu. Restriction(s): Restricted to Graduate - Urbana-Champaign.
62218	Lecture-Discussion	ERU	1:00PM -3:50PM	M	FAB LAB Art-East Annex, Studio 2	Baird, D Butt, E	Part of Term: 1 Date Range: 08/23/21-12/08/21 Credit: 3 hours Section Title: Makerspace: Escape Rooms Section Info: This course will explore the intersection of storytelling, interaction design, and user experience through the design of escape rooms. In the past couple years escape rooms have been on the rise, changing from simple locked boxes in an open room to complex adventures spanning multiple rooms involving electronics, sound design, storytelling, and even live actors. This class will be primarily focusing on the manufacturing and electronics work that goes into making an immersive escape room experience. Over the span of the course, students will become familiar with the basics of several advanced small-scale manufacturing tools, such as laser engravers, electronic cutters, and 3D printers/scanners. The primary focus, however, will be a more in depth exploration of small board electronics – such as Arduino and IoT programming – and hardware – such as sensors, servos, LEDs, and other components. This section is for undergraduate students at the sophomore level or higher only. Graduate students should register for CRN 62221. Course materials and assignments will be hosted on Moodle at learn.illinois.edu. Restriction(s): Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign.
65222	Online	MH	ARRANGED	n.a.	n.a.	Haberman, M	Part of Term: 1 Date Range: 08/23/21-12/08/21 Credit: 3 hours Section Title: Intro to Prog for Data Science Section Info: This is ONLINE and ASYNCHRONOUS (there is no regular meeting day/time). The Fall 2021 course website is on Canvas at https://canvas.illinois.edu/courses/7523) 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. Sample course material can be viewed at: https://info490fa19.web.illinois.edu/ 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.
51938	Online	MH2	ARRANGED	n.a.	n.a.	Narisetti, S	Part of Term: 1 Date Range: 08/23/21-12/08/21 Credit: 3 hours Section Title: Data Machines and the Python Section Info: Data, Machines, and the Python (https://uicourses.web.illinois.edu/info490mh2) continues where the INFO 490 MH tour (https://uicourses.web.illinois.edu/info490mh) left off. You will learn advanced techniques in data science and be introduced to machine learning algorithms. You will also continue to improve your Python knowledge as well as your software development skills including how to architect large scale data processing pipelines. Although this an applied course (you will learn by doing), you'll also learn how and why something works. In many cases, you will first write a reduced implementation before using an established library. Mastering the ability to write software to gain insights from data will help drive your research and career. The last four weeks of the class will be spent on a data driven project that will give you a chance to work on your own interests and showcase your knowledge and skills. The class will be taught on-line and be scheduled asynchronously (you decide where it best fits in your week). Students are required to log into (learn.illinois.edu) in order to access the initial set of instructions. Prerequisites • Junior/Senior/Graduate Standing • Taken INFO490 MH Intro to Prog for Data Sci OR have at least 2 years of programming experience using Python • Already comfortable with Numpy, Pandas, Matplotlib, NLTK • Voraciously willing to do the necessary work to fill in any knowledge gaps • Enjoy contributing and learning in an on-line environment • the ability to create a boolean expression for these prerequisites Restriction(s): Not intended for students with Freshman or Sophomore class standing.
70732	Lecture-Discussion	ST	12:30PM -1:50PM	TR	53 Grad Sch of Lib & Info Science	Tipei, S	Part of Term: 1 Date Range: 08/23/21-12/08/21 Credit: 3 hours Section Title: Computer Music Section Info: Introduction to the multiple ways computers are used in music, with an emphasis on digital sounds synthesis and composition. Elements of acoustics, psychoacoustics, and programming are introduced in order to allow students to use and modify the existing software DISSCO/Sound Maker developed at UIUC. Students are required to bring a laptop to class. 3 undergraduate hours. 3 graduate hours. Restriction(s): Not intended for students with Freshman class standing.