This is the course website for IS590ADV in Spring 2019
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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.
This course will include a number of technical tasks, but will additionally be focused on the aesthetic and high-level understanding of visualization. We will discuss in depth new trends in visualization as well as evidence-based studies of how to develop better visualizations.
Students are expected to have laptops with them, as well as access to Python installations, and will be encouraged to participate in class. Homework will largely be in the form of projects and open-ended assignments. Class participation will not determine grades but is expected to guide discussions; students are expected to participate and share thoughts, ideas, and suggestions.
No explicit prerequisites are required. Students are expected to have taken standard programming courses. Students are expected to either be familiar with, or be prepared to familiarize themselves with, Python, Javascript, GitHub, and other computational tools. Haven taken Data Viz (IS590DV) is optional, but encouraged.
As a land-grant institution, the University of Illinois at Urbana-Champaign has a responsibility to acknowledge the historical context in which it exists. In order to remind ourselves and our community, we will begin this event with the following statement. We are currently on the lands of the Peoria, Kaskaskia, Peankashaw, Wea, Miami, Mascoutin, Odawa, Sauk, Mesquaki, Kickapoo, Potawatomi, Ojibwe, and Chickasaw Nations. It is necessary for us to acknowledge these Native Nations and for us to work with them as we move forward as an institution. Over the next 150 years, we will be a vibrant community inclusive of all our differences, with Native peoples at the core of our efforts.
More information can be found on the Chancellor’s Website.
The central themes of the course are:
There is no textbook for this course. All course materials will be posted to the GitHub repository at https://github.com/UIUC-iSchool-DataViz/spring2019-adv/
As the course progresses, a list of recommended readings will be generated for each class. These will be included in the course materials repository, and students are encouraged to fork that repository and issue pull requests to add suggested readings.
Matthew Turk is an Assistant Professor at the School of Information Sciences. His training was in Astronomy, where he conducted simulations of the formation of the first stars in the Universe. This led him to work on developing an analysis and visualization package for volumetric data, yt, which has been used for quantiative and qualitative visualization of data from several disciplines.
| http://www.library.illinois.edu/lis/ | lislib@library.illinois.edu | Phone: (217) 300-8439
The campus-wide Writers Workshop provides free consultations. For more information see http://www.cws.illinois.edu/workshop/ The iSchool has a Writing Resources Moodle site https://courses.ischool.illinois.edu/course/view.php?id=1705 and iSchool writing coaches also offer free consultations.
Please review and reflect on the academic integrity policy of the University of Illinois, http://admin.illinois.edu/policy/code/article1_part4_1-401.html to which we subscribe. By turning in materials for review, you certify that all work presented is your own and has been done by you independently, or as a member of a designated group for group assignments. If, in the course of your writing, you use the words or ideas of another writer, proper acknowledgment must be given (using APA, Chicago, or MLA style). Not to do so is to commit plagiarism, a form of academic dishonesty. If you are not absolutely clear on what constitutes plagiarism and how to cite sources appropriately, now is the time to learn. Please ask me! Please be aware that the consequences for plagiarism or other forms of academic dishonesty will be severe. Students who violate university standards of academic integrity are subject to disciplinary action, including a reduced grade, failure in the course, and suspension or dismissal from the University.
Inclusive Illinois Committee Diversity Statement
As the state’s premier public university, the University of Illinois at Urbana-Champaign’s core mission is to serve the interests of the diverse people of the state of Illinois and beyond. The institution thus values inclusion and a pluralistic learning and research environment, one which we respect the varied perspectives and lived experiences of a diverse community and global workforce. We support diversity of worldviews, histories, and cultural knowledge across a range of social groups including race, ethnicity, gender identity, sexual orientation, abilities, economic class, religion, and their intersections.
To obtain accessibility-related academic adjustments and/or auxiliary aids, students with disabilities must contact the course instructor and the Disability Resources and Educational Services (DRES) as soon as possible. To contact DRES you may visit 1207 S. Oak St., Champaign, call (217) 333-4603 (V/TTY), or e-mail a message to disability@illinois.edu.
Students will be graded based on a combination of assignments (30%), class presentations (30%) and a final project (40%). The final project will be a capstone to the course.
Assignments in this course will be a mixture of coding/visualization work and written (or drawn) work. These two may not be distinct assignments; students will be asked to describe their code and justify choices for making decisions with respect to visualizations.
Students are expected, unless otherwise instructed, to be the principal authors of their code. This does not mean they may not investigate resources such as StackOverflow, package documentation, etc; however, they must cite when resources (especially StackOverflow and other “recipe” sites) are utilized.
The submission process for homeworks will be described by example during class before any homeworks are to be submitted.
Each assignment will be 50% “correctness” and 50% the narrative description of the process. “Correctness” in this case indicates that the code runs without issue, results are produced, and each component of the assignment is completed. The narrative description of the process will be graded on grammar and completeness.
All assignments are required for all students. Completing all assignments is not a guarantee of a passing grade. All work must be completed in order to pass this class. Late or incomplete assignments will not be given full credit unless the student has contacted the instructor prior to the due date of the assignment (or in the case of emergencies, as soon as practicable).
Grading Scale:
| 94-100 = A |
| 90-93 = A- |
| 87-89 = B+ |
| 83-86 = B |
| 80-82 = B- |
| 77-79 = C+ |
| 73-76 = C |
| 70-72 = C- |
| 67-69 = D+ |
| 63-66 = D |
| 60-62 = D- |
| 59 and below = F |
Students must request an incomplete grade from the instructor. The instructor and student will agree on a due date for completion of coursework and the student must file an Incomplete Form signed by the student, the instructor, and the student’s academic advisor with the School’s records representative. More information on incompletes is available here: http://webdocs.ischool.illinois.edu/registration/incomplete_grade_form.pdf
Students are required to attend each class, and if they are unable to do so much notify the instructor and TA in advance and request an excused absence. Participation in class – in the form of comments, questions, and discussion – is expected.
This is the first semester that this course is being taught. As such, the course outline below is subject to some flexibilty; students will be encouraged to provide feedback on the topics covered, particularly toward the end. Topics that are of particular interest will be emphasized.
Roughly speaking, the first half of class will cover theoretical topics and the latter half will cover software topics.
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Leaving the area quickly is the best option if it is safe to do so.
When you can’t or don’t want to run, take shelter indoors.
As a last resort, you may need to fight to increase your chances of survival.
Please be aware of persons with disabilities who may need additional assistance in emergency situations.