Learning Outcomes and iSchool Competencies Addressed in this Course

Learning Outcomes

By the end of the semester students will be able to:

1. Identify and critically evaluate formal, aesthetic, historical, social issues engaged by artists employing quantitative/computational strategies.

2. Exercise synthetic, analytic and/or quantitative computational reasoning as needed to solve problems.

3. Solve computational problems using coding concepts of variables, branching conditionals and loops.

4. Design artworks that implement algorithmic reasoning and/or computer coding to generate audio/visual media and other information forms using interpretative techniques including instruction and data sets.

5. Recognize how computational strategies have influenced the history of art and contemporary art practices.

6. Demonstrate basic computer coding using the Processing programming environment.

7. Improve written and visual documents in response to feedback.

School of Information Competencies addressed by this course:

F1.1) Students will demonstrate an understanding of the use of information and communication technologies and the implications of such use, for example: scientific and social uses of information, and social, cultural, and economic implications of digital life and culture.

F1.2 Students will demonstrate facility using basic research methods, for example: research design; statistics and analysis; organization, identification, and location of data and information including open- and closed-access sources; and/or presentation of findings in oral, written and multimedia form, including the proper citation of sources.

F1.3 Students will acquire the skills, knowledge and self-understanding to communicate with and effectively work and interact across cultures and with diverse people and groups.

DAISBA2.1) Students will demonstrate principles such as human-centered design, ergonomics, and artistic design considerations in the development and provision of information services, technological innovations, games, or human-computer interactions.

DAISBS2.2) Students will establish the ability to exercise the four key techniques of computational thinking (decomposition, pattern recognition, abstraction, and algorithms) in solving information and data challenges.

DAISBA2.3 Students will demonstrate proficiency in articulating varieties of evidence supporting a solution and communicating the results of their work, using appropriate graphics, visualizations, multi-media vehicles, or artistic performance.

DAISBA2.4 Students will demonstrate the importance of work in multidisciplinary teams and will be able to communicate research based in one discipline or field of study to different disciplinary audiences and to general and non-academic members and audiences.