Undergraduate

Courses

Informatics

H400 Topics in Informatics, Honors

Credits: 3

Prerequisite(s): At least junior standing or permission of instructor.

Honors version of INFO-I 400. Variable topic. Emphasis is on development and research in informatics.

  • Course History

      Spring 2016


      Instructor: Filippo Radicchi
      Topic: Performance Analytics
      Time: 9:30AM-10:45AM Mon, Wed
      Location: Ballantine Hall, Room 340


      Instructor: Simon DeDeo
      Topic: Large-scale Social Phenomena
      Time: 1:00PM-2:15PM Mon, Wed
      Location: Informatics West, Room 107


      Instructor: Travis Jason Brown
      Topic: Technology Entrepreneurship
      Time: 1:00PM-2:15PM Tue, Thu
      Location: Informatics West, Room 107
      Course File (syllabus or course advertisement)


      Instructor: John Paolillo
      Topic: Social Media And Language
      Time: 11:15AM-12:30PM Tue, Thu
      Location: Informatics East, Room 130


      Instructor: Eli Blevis
      Topic: Visual Thinking, Meaning & Form
      Time: 4:00PM-6:30PM Mon
      Location: Informatics East, Room 150


      Instructor: Eli Blevis
      Topic: Sustainability In Hci & Design
      Time: 4:00PM-6:30PM Tue
      Location: HDTBA


      Instructor: Travis Jason Brown
      Topic: Technology Innovation
      Time: 11:15AM-12:30PM Mon, Wed
      Location: Informatics West, Room 107
      Course File (syllabus or course advertisement)

      Fall 2015


      Instructor: Christena Nippert-Eng
      Topic: Privacy Information & Identity
      Time: 2:30PM-5:30PM Tue
      Location: LI030


      Instructor: Johan Bollen
      Topic: Collective Intelligence
      Time: 5:45PM-7:00PM Mon, Wed
      Location: Informatics West, Room 107


      Instructor: Eli Blevis
      Topic: Sustainability In Hci & Design
      Time: 1:00PM-3:45PM Tue
      Location: Informatics East, Room 122


      Instructor: Matthew Francisco
      Topic: Prototyping With Arduino Tools
      Time: 9:30AM-10:45AM Tue, Thu
      Location: Informatics East, Room 122
      Course File (syllabus or course advertisement)
      Supplementary Description: In this course students study the hobby electronics literature as well as literature on small-scale fabrication in order to develop a prototype and operations plan for a product or tool for wider use.  By the end of this course students will have working knowledge of the practices, tools, and materials available today for building prototypes as well as the organizational opportunities and challenges in building such systems.


      Instructor: Travis Jason Brown
      Topic: Design Strategy
      Time: 1:00PM-2:15PM Tue, Thu
      Location: Informatics West, Room 107
      Course File (syllabus or course advertisement)


      Instructor: Filippo Menczer
      Topic: Intro To Network Science
      Time: 2:30PM-3:45PM Tue, Thu
      Location: Informatics East, Room 130


      Instructor: Bernard Frischer
      Topic: Intro To Virtual Heritage
      Time: 5:30PM-8:00PM Tue
      Location: Informatics West, Room 109

      Spring 2015


      Instructor: Filippo Radicchi
      Topic: Performance Analytics
      Time: 9:30AM-10:45AM Mon, Wed
      Location: Informatics East, Room 122


      Instructor: Simon DeDeo
      Topic: Large-scale Social Phenomena
      Time: 4:00PM-5:15PM Mon, Wed
      Location: Informatics East, Room 130


      Instructor: Luis Rocha
      Topic: Bioinspired Computing
      Time: 2:30PM-3:45PM Mon, Wed
      Location: Multiple Locations


      Instructor: Travis Jason Brown
      Topic: Technology Entrepreneurship
      Time: 1:00PM-2:15PM Mon, Wed
      Location: Informatics West, Room 107


      Instructor: David Hakken
      Topic: Community Informatics
      Time: 2:30PM-3:45PM Tue, Thu
      Location: Geology, Room 143


      Instructor: John Paolillo
      Topic: Social Media And Language
      Time: 11:15AM-12:30PM Tue, Thu
      Location: Informatics East, Room 130


      Instructor: William Sherman
      Topic: Intro To Virtual Reality
      Time: 4:00PM-5:15PM Tue, Thu
      Location: Informatics East, Room 122


      Instructor: Bernard Frischer
      Topic: Adv Topics In Virtual Heritage
      Time: 5:45PM-7:00PM Tue, Thu
      Location: Informatics West, Room 109

      Fall 2014


      Instructor: Yong-Yeol Ahn
      Topic: Data Visualization
      Time: 4:00PM-5:15PM Mon, Wed
      Location: Multiple Locations


      Instructor: Johan Bollen
      Topic: Collective Intelligence
      Time: 9:30AM-10:45AM Tue, Thu
      Location: Informatics East, Room 122


      Instructor: Travis Jason Brown
      Topic: Design Strategy
      Time: 1:00PM-2:15PM Tue, Thu
      Location: Informatics East, Room 122


      Instructor: Filippo Radicchi
      Topic: Networks
      Time: 2:30PM-3:45PM Tue, Thu
      Location: Informatics East, Room 130


      Instructor: Bernard Frischer
      Topic: Intro To Virtual Heritage
      Time: 4:00PM-7:00PM Tue
      Location: Informatics West, Room 109


      Instructor: David J. Wild
      Topic: Data Science For Drug Discover
      Time: Arranged
      Location: Arranged

      Spring 2014


      Instructor: Kris Hauser
      Topic: Robotics
      Time: 9:30AM-10:45AM Mon, Wed
      Location: Ballantine Hall, Room 242


      Instructor: Katie Siek
      Topic: Health Informatics
      Time: 2:30PM-3:45PM Mon, Wed
      Location: Swain Hall East, Room 240


      Instructor: Simon DeDeo
      Topic: Large-scale Social Phenomena
      Time: 4:00PM-5:15PM Mon, Wed
      Location: Informatics West, Room 107
      Course URL (syllabus link or course homepage)
      Course File (syllabus or course advertisement)
      Supplementary Description: What has become of human society since it began? What will come next? We will develop the concepts and tools necessary to understand the emergence and dynamics of large-scale social phenomena including cultural practices and social norms, revolutions and market crashes, and conflict in both war and peace. We will take as case-studies both modern, historical, ancient and evolutionary-time sociotechnical systems. Particular focus on "big data" approaches; mid-semester hackathon


      Instructor: Katie Siek
      Topic: Maker Movement In Health
      Time: 11:15AM-12:30PM Mon, Wed
      Location: Informatics East, Room 122


      Instructor: Filippo Radicchi
      Time: 1:00PM-2:15PM Mon, Wed
      Location: Informatics East, Room 122
      Course URL (syllabus link or course homepage)
      Course File (syllabus or course advertisement)
      Supplementary Description: What makes the difference in the achievement of prestige, popularity and fame? Is there any pattern behind success? For example, why an hashtag on twitter becomes popular, a song enters the hit parade, or a scientific paper becomes highly cited? The course will review quantitative studies aimed at measuring, predicting and understanding performance in social competitive arenas, ranging from social media to financial markets, from professional sports to scientific and technological innovation.


      Instructor: Jonathan Mills
      Topic: Metaphor And Programming
      Time: Multiple Times
      Location: Multiple Locations

      Fall 2013


      Instructor: Selma Sabanovic
      Topic: Human Robot Interaction
      Time: 2:30PM-3:45PM Mon, Wed
      Location: Informatics West, Room 107
      Supplementary Description: This course surveys the emerging field of human-robot interaction (HRI). HRI researchers tackle the social and technical challenges involved in understanding how people perceive and are affected by robots, and in creating robots that interact in ways that are natural and intuitive for human partners. We will discuss the design, evaluation, and societal significance of interactive robots from a human-centered perspective through readings, discussion, and creating HRI prototypes using Arduino.


      Instructor: Luis Rocha
      Topic: Bioinspired Computing
      Time: 11:15AM-12:30PM Tue, Thu, Thu
      Location: Multiple Locations
      Course URL (syllabus link or course homepage)
      Supplementary Description: Bio-inspired computing is a field devoted to tackling complex problems using computational methods modeled after design principles encountered in nature. This course aims at a deep understanding of the distributed architectures of natural complex systems, and how those can be used to produce informatics tools with enhanced robustness, scalability, flexibility and which can interface more effectively with humans. Pre-requisites: INFO-I 211, or CSCI-C 212, or CSCI-H 212, or Instructor approval.


      Instructor: Yong-Yeol Ahn
      Topic: Data Visualization
      Time: 4:00PM-5:15PM Tue, Thu
      Location: Multiple Locations
      Course URL (syllabus link or course homepage)
      Supplementary Description: From car dashboards to cutting-edge scientific papers, we extensively use visual representation of data. Data visualization is becoming a crucial skill for knowledge workers, particularly in the era of big data, because visualization is critical to understand big, messy data. In this course we will learn fundamentals of data visualization and create data visualizations using various types of data.


      Instructor: Filippo Menczer
      Topic: Networks
      Time: 2:30PM-3:45PM Tue, Thu
      Location: Informatics East, Room 130
      Course URL (syllabus link or course homepage)
      Supplementary Description: Networks pervade all aspects of our lives: friends, computers, the Web, and our brain are examples. The network is a general yet powerful way to represent and study simple and complex relationships. This course introduces network science as a way to understand complex patterns of connections and relationships. Once we acquire the basic tools needed to analyze and model networks through computers, we will explore increasingly complex social, infrastructure, information, and biological networks.

      Spring 2013


      Instructor: Kay Connelly
      Topic: Health Informatics
      Time: 2:30PM-3:45PM Tue, Thu
      Location: Informatics West, Room 107


      Instructor: Jonathan Mills
      Topic: Metaphor And Programming
      Time: Multiple Times
      Location: Multiple Locations


      Instructor: Eli Blevis
      Topic: Meaning And Form In Hci
      Time: 6:00PM-9:00PM Wed
      Location: Informatics East, Room 150

      Fall 2012


      Instructor: Dennis Groth
      Topic: Applications Of Data Mining
      Time: Multiple Times MW
      Location: Multiple Locations


      Instructor: Selma Sabanovic
      Topic: Human Robot Interaction
      Time: 2:30PM-3:45PM Mon, Wed
      Location: Informatics West, Room 107


      Instructor: Luis Rocha
      Topic: Bioinspired Computing
      Time: 11:15AM-12:30PM Tue, Thu, Thu
      Location: Multiple Locations
      Course URL (syllabus link or course homepage)
      Supplementary Description: Bio-inspired computing is a field devoted to tackling complex problems using computational methods modeled after design principles encountered in nature. This course aims at a deep understanding of the distributed architectures of natural complex systems. Students will be introduced to fundamental topics in bio-inspired computing, and build up their proficiency in the application of various algorithms in real-world problems. Prerequisites: INFO-I211, CSCI-C212, or Instructor approval.


      Instructor: Filippo Menczer
      Topic: Networks
      Time: 2:30PM-3:45PM Tue, Thu
      Location: Informatics East, Room 130
      Course URL (syllabus link or course homepage)
      Supplementary Description: Networks pervade all aspects of our lives: friends, computers, the Web, and our brain are examples. The network is a general yet powerful way to represent and study simple and complex relationships. This course introduces network science as a way to understand complex patterns of connections and relationships. Once we acquire the basic tools needed to analyze and model networks through computers, we will explore increasingly complex social, infrastructure, information, and biological networks.

      Spring 2012


      Instructor: Eli Blevis
      Topic: Meaning And Form In Hci
      Time: 6:00PM-9:00PM Wed
      Location: Informatics East, Room 150


      Instructor: Peter Todd
      Topic: Seek And Find
      Time: 4:00PM-5:15PM Tue, Thu
      Location: Informatics East, Room 130


      Instructor: Jonathan Mills
      Topic: Metaphor And Programming
      Time: Multiple Times
      Location: Multiple Locations


      Instructor: Yong-Yeol Ahn
      Topic: Visual Analytics
      Time: 9:30AM-10:45AM Tue, Thu
      Location: Informatics East, Room 130

      Fall 2011


      Instructor: Daniel John Richert
      Topic: Advanced Prototyping
      Time: 2:30PM-5:00PM Mon
      Location: Informatics East, Room 150


      Instructor: Filippo Menczer
      Topic: Networks
      Time: 2:30PM-3:45PM Tue, Thu
      Location: Informatics East, Room 130
      Course URL (syllabus link or course homepage)
      Supplementary Description: Networks pervade all aspects of our lives: networks of friends, communication, computers, the Web, transportation, the proteins in our body, and our brains are all examples. This course explores the study of networks and how they help us understand the complex patterns of connections and relationships in our world. We will acquire the basic tools needed to analyze and model networks through computers, and explore increasingly complex social, infrastructure, information, and biological networks.


      Instructor: Luis Rocha
      Topic: Bioinspired Computing
      Time: 11:15AM-12:30PM Tue, Thu
      Location: Multiple Locations
      Course URL (syllabus link or course homepage)
      Supplementary Description: Bio-inspired computing is a field devoted to tackling complex problems using computational methods modeled after design principles encountered in nature. This course is strongly grounded on the foundations of complex systems and theoretical biology. It aims at an understanding of the distributed architectures of natural complex systems, and how those can be used to produce informatics tools. Pre-requisites: INFO-I 211, or CSCI-C 212, or CSCI-H 212, or Instructor approval.


      Instructor: Dennis Groth
      Topic: Applications Of Data Mining
      Time: 11:15AM-12:30PM Mon, Wed
      Location: Informatics East, Room 130


      Instructor: Eli Blevis
      Topic: Visual Literacy In Hci/d
      Time: 6:00PM-9:00PM Wed
      Location: Informatics East, Room 150

      Spring 2011


      Instructor: Selma Sabanovic
      Topic: Human Robot Interaction
      Time: 2:30PM-3:45PM Mon, Wed
      Location: Informatics East, Room 122
      Course URL (syllabus link or course homepage)


      Instructor: Larry S. Yaeger
      Topic: Artificial Life
      Time: 2:30PM-3:45PM Mon, Wed
      Location: Informatics West, Room 107


      Instructor: Kay Connelly
      Topic: Health Informatics
      Time: 2:30PM-3:45PM Tue, Thu
      Location: Informatics West, Room 107
      Supplementary Description: This is a combined advanced undergraduate and graduate course that provides an introduction to health informatics. Students will learn about technology as it relates to healthcare, and develop the skills to collaborate with health researchers to create health informatics applications. Health Informatics topics include assistive technologies, persuasive technologies, decision support, electronic health records, personal health records, and underserved populations. Methods covered include interviewing, low-fidelity prototypes and evaluation techniques. Pre-req: I300 (undergrads). No pre-req for graduate students.


      Instructor: Jonathan Mills
      Topic: Music And Programming
      Time: Multiple Times
      Location: Music Library, Room 373
      Supplementary Description: The over-arching goal is to learn PRINCIPLES OF DESIGN that are analogous for both music and programming. The secondary goals are to (1) attain a life-long skill through an introduction to music, and (2) preparation for designing programs in A201 or similar introductory programming courses. This is a class that does NOT require the students to read music. It does NOT require them to know a programming language. It does NOT require artistic (drawing) or musical (playing an instrument) ability. Students MUST be willing to: * pick out notes and tunes on a keyboard. * invent their own tunes—and there is a LOT OF LEEWAY here. * draw rough pictures or sketches that represent the music they invent. * share their pictures with other students to interpret as music (and vice-versa). * sign up for a free site on MySpace or Reverbnation to upload and share their music. * listen to music of selected musicians from a wide variety of styles. * try to imitate several styles. * write one or two analysis papers as part of their work. * join in a class project by inventing some music that fits the project, but is their interpretation of their part of it. * learn about design principles common to music and programming. * apply the design principles for programming to invent a piece of music. * read assigned material on the web (no textbook). * COME TO CLASS—this is VERY IMPORTANT. * EXPERIMENT with the keyboards during selected class and lab times.


      Instructor: Eli Blevis
      Topic: Creating Meaning in Interaction and Design
      Time: 11:15AM-2:15PM Thu
      Location: Informatics East, Room 150
      Course URL (syllabus link or course homepage)


      Instructor: Eden Medina
      Instructor: Rebecca Lave
      Topic: Geographies Of Technology
      Time: 2:30PM-5:00PM Thu
      Location: Informatics East, Room 122
      Course URL (syllabus link or course homepage)


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