Pratt Institute School of Information seeks visiting assistant professors to teach the following courses in Fall 2020 (Aug. 31 through Dec. 21):
INFO 644 Usability Theory and Practice
INFO 697 Machine Learning
INFO 682 Projects in Information Experience Design
INFO 642 Content Strategy
Devoted to a creative learning community, Pratt recognizes the strength that stems from a diversity of perspectives, ideas, backgrounds, approaches, and experiences. We aspire to continue to grow as a place that always welcomes and encourages individuals of all backgrounds to contribute to and be part of Pratt culture.
More information on each of these courses and syllabi from the last time they were taught are below:
INFO 644 Usability Theory and Practice This course provides the theoretical and practical foundations for evaluating digital interfaces from a user-centered perspective. Through lectures, in-class activities, readings and individual and group assignments, students will learn and apply usability principles and gain hands-on experience with several common usability evaluation methods, including traditional user testing plus inspection- and field-based methods. Because the goal of evaluation is always to improve the underlying usability of an interface, the course will focus on effectively communicating evaluation results. At the conclusion of this course, students will possess the knowledge and skills necessary for successfully planning, conducting, and leading usability evaluations in a variety of settings and organizations. Syllabus
INFO 697 Machine Learning Machine learning is a rapidly growing field that develops algorithms for tasks such as data classification and prediction. These algorithms are programmed to operate and adjust themselves independently of human intervention (i.e., to learn), allowing data work to occur quickly and at scale. Machine learning is a key technology behind the automation across many social areas today, often branded AI.
This course offers an introduction to machine learning as a practical tool that we can use, and as a technological field with social implications. We will learn about key concepts in machine learning; survey a few key machine learning techniques, such as supervised methods for machine learning (regression and classification), which attempt to map data onto desired outputs, and unsupervised methods (clustering and association), which attempt to find structure within data itself; use openly available tools to implement these techniques on text and image data; learn how to assess the effectiveness of different techniques on particular datasets; and discuss basic issues that confront all machine learning methods. Syllabus
INFO 682 Projects in Information Experience Design With a theoretical foundation that combines aspects of information science and user experience (UX) design, this course covers practical, hands-on approaches for working with information organizations to conceptualize and implement user centered tools, services, and/or information spaces. Throughout the course, students will explore and apply theories and principles of the emerging field of Information Experience Design (IXD) through applied, collaborative projects with partner institutions (e.g., libraries, archives, museums, or similar organizations). Topics will include design thinking, research and discovery, and project planning and implementation, with an emphasis on designing an information experience that meets the needs of both internal and external stakeholders. Syllabus
INFO 642 Content Strategy Sitting at the intersection of business strategy, technology, user experience design, branding, communications, and publishing, the discipline of content strategy examines the purpose behind content in all manifestations and how that content supports business, institutional, organizational, and user goals. Once solely the province of website development, content strategy has rapidly evolved and now encompasses a much broader set of considerations to address content creation, publication, distribution, and governance across all communications channels within an organization, especially the interplay among digital, social, and traditional (i.e. "print") media. Designed for information professionals from a variety of backgrounds and specialties, this course will provide students with a broad and solid understanding of the discipline of content strategy. Through a comprehensive and robust series of readings, exercises, simulations, assignments, and discussions, students will gain practical experience in creating and working with the tools, techniques, principles, and processes of content strategy. Syllabus
The candidate should have a Master's degree in a relevant field and have an aptitude for teaching.
Review of applications to begin immediately.
Please submit your C.V., cover letter, and the contact information for two professional references via our internal application site at https://apply.interfolio.com/73033
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We are an equal opportunity employer and do not discriminate in hiring or employment on the basis of race, color, religion or belief, national or ethnic origin, citizenship, marital or domestic partnership status, sexual orientation, gender identity or expression, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local law. Pratt Institute recognizes and values the benefits of a diverse workforce.
Internal Number: 117069864
About Pratt Institute
The mission of Pratt Institute is to educate artists and creative professionals to be responsible contributors to society. Pratt seeks to instill in all graduates aesthetic judgment, professional knowledge, collaborative skills, and technical expertise. With a firm grounding in the liberal arts and sciences, a Pratt education blends theory with creative application in preparing graduates to become leaders in their professions. Pratt enrolls a diverse group of highly talented and dedicated students, challenging them to achieve their full potential.