Term C/D – 2015
Location
SL 104
T F 1:00–2:50pm
Instructor
Lane Harrison
FL–231
Office Hours
T F 3–5
In this course we will study the use of interactive data and information visualization to model and analyze biological information, structures, and processes. Topics include the fundamental principles, concepts, and techniques of visualization and how visualization can be used to study biological data at the genomic, cellular, molecular, organism, and population levels.
After successful completion of this course, you will be able to:
The text we’re using for readings in this course is Interactive Data Visualization: Foundations, Techniques, and Applications, by Ward, Grinstein, and Keim.
If you’re interested in data visualization beyond this class, I strongly recommend Tamara Munzner’s Visualization Analysis and Design. (Many of the figures I use in the class lectures come from this book.)
Weekly assignments are the core of this course. Each assignment will focus on a particular type of biological data, such as sequences or phylogenetic trees. The lectures and labs will equip you with the biological background, visualization theory, and technical skills to develop an effective visualization for these datasets.
The second lecture of every week will include an in-class lab. These labs provide an opportunity for you to learn more about visualization design, data analysis, and technologies.
There are two preferred language choices for this course: Processing and JavaScript using d3.js.
Processing is a programming language that sits above Java and facilitates rapid development of graphics applications. If you’re experienced with Java, Processing is a good choice.
If you’re familiar with web programming, you may use JavaScript and d3.js. JavaScript can be confusing, however, so proceed with caution.
If you want to program in a language other than Processing or JavaScript, please see me before you start your projects to insure the language has the appropriate graphics support. Depending on your choice of languages, I may not be able to provide much help in debugging.
Grading for undergraduates will be 60% assignments and 40% labs (C-term).
Grading for graduate students will be 45% assignments and 25% labs (C-term), then 20% final project and 10% in-class presentations (D-term).
Datasets that can be used for some of the projects can be found on Matt Ward’s course page: data, links.
Friday Jan 16
Lecture 1: Overview of Visualization
Topics: Reading: Chapters 1 and 2
Tuesday Jan 20
Lecture 2: (Guest Lecture) Liz Ryder: Simulation, Trees, and Networks / Biological Data Representations
Friday Jan 23
Lab 1: BioVis Analysis, Critique, and Design Process (examples)
Sunday Jan 25
Project 0 due: Getting Started
Reading: Chapter 4
(Moved to Feb 3) Tuesday Jan 27
Lecture 4: Particle-Based Methods and Applications
Friday Jan 30
Lab 2: Data Parsing and Manipulation; Git/GitHub
(Moved to Feb 5) Sunday Feb 1
Project 1 due: The Game of Life - the effects of surroundings and contacts
Reading: Chapter 8
Tuesday Feb 3
Lecture 6: Particle-Based Methods and Applications / Trees and Networks
Thursday Feb 5
Project 1 due: The Game of Life - the effects of surroundings and contacts
Friday Feb 6
Lab 3: Interactive Data Visualization (handout)
Reading: Chapter 7
Tuesday Feb 10
Lecture 8: (Guest Lecture) Liz Ryder: Sequences, Structures, and Networks Revisited / Tables of Data
Thursday Feb 12
Project 2 due: Tree of Life - how are things related
Friday Feb 13
Lab 4: d3js: SVG to Layouts
Reading: Chapter 9
Tuesday Feb 17
Lecture 10: Sequences and Text
Thursday Feb 19
Project 3 due: Experiments in Biology - how to analyze tables of numbers
Friday Feb 20
Lab 5: Database-Driven Visualization Support Code
Reading: Chapter 5
Tuesday Feb 24
Lab 6: Force-directed Layouts Support Code
Thursday Feb 26
Project 4 due: Structures in Biology - 1D sequences
Friday Feb 27
Lecture 12: 2-D and 3-D structures | Color
Reading: Chapters 12, 13
Tuesday Mar 3
Lecture 14: Evaluation in Visualization
Thursday May 5
Project 5 due: Revisions and Enhancements
Tuesday Mar 17
Intro to Final Project - Discussions
Tuesday Mar 24
Topic Presentation / Refinement | Prospectus Template
Tuesday Mar 31
BioVis paper presentation/discussion 1
Friday Apr 10
Checkpoint 1 (presentations)
Tuesday Apr 14
BioVis paper presentation/discussion 2
Tuesday Apr 21
No Class (ACM CHI)
Tuesday Apr 28
Final checkpoint (presentations)
Tuesday May 5
Final Project Demo Day