Schedule

From Expressive Computing

Follow the links in the headers below to go to the full page for the week in question.

Contents 1 Week 1: Introduction 2 Week 2: Introducing Processing 3 Week 3: Chance operations 4 Week 4: Project 1 Presentations 5 Week 5: Generative algorithms I 6 Week 6: Working with Text in Python 7 Week 7: Project 2 Presentations 8 Week 8: Munging and Analyzing Text 9 Week 9: Munging cont'd 10 Week 10: Introducing csound 11 Week 11: Project presentations 12 Week 12: Data sonification 13 Week 13: Generative algorithms II 14 Weeks 14 & 15: Presentations

Week 1: Introduction

• Introducing the course
• Examples of the kind of work we're going to examine and make in class
• Mapping the course
• Going over the Syllabus

Week 2: Introducing Processing

• Reading discussion (Hackers and Painters, Bias in Computer Systems, Media Machines)
• Presenting some existing works in Processing
• Introduction to Processing (basic language features and interactivity)
• Project 1 assigned (due Week 4).

Week 3: Chance operations

• Reading discussion
• Progress reports on Project 1
• Works that use chance operations
• Processing tutorial continuation: Classes and objects, arrays

Week 4: Project 1 Presentations

• Project presentations
• Reading discussion

Week 5: Generative algorithms I

• Reviewing Project 1
• Wrapping up the Processing tutorial: Translation and rotation, images (use to create self-similar shapes and cellular automata)
• Project 2 assigned (due Week 7)

Week 6: Working with Text in Python

• Project 2 progress report and Processing workshop
• Presenting text-oriented works
• Python tutorial; writing and reading form UNIX stdin/stdout

Week 7: Project 2 Presentations

• Project presentations

Week 8: Munging and Analyzing Text

• Reviewing Project 2
• Reading discussion and rationale
• Sample work
• Getting data from Python into Processing

Week 9: Munging cont'd

• Reading discussion
• Python: using regular expressions; basic text analysis (concordance, word count);
• Python: using urllib2 and Beautiful Soup to parse data from the web
• Project 3 assigned (due week 11)

Week 10: Introducing csound

• Reading discussion
• Audio-oriented work
• Basic csound tutorial (installing the software, instruments vs. scores, basic patches)
• Generating csound scores with Python

Week 11: Project presentations

• Groups and individuals present Project 3.

Week 12: Data sonification

• Presenting preliminary ideas for the Final Project
• Reading discussion
• Sample work
• Synthesis in csound

Week 13: Generative algorithms II

• Reading discussion
• Sample work
• L-Systems (Python to csound and Processing)
• Final projects: report on progress

Weeks 14 & 15: Presentations

No class on December 5th; we'll be holding class (in the regular location, at the regular time) on December 12th and December 19th. Final Project presentations will take place on those days.

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