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  • Contact Info
Publications in VIVO
 

Zietz, Jason Ian Instructor

Positions

Research Areas research areas

Research

research overview

  • I study how we can design information systems to help people live better lives.

keywords

  • Motivation, Decision Making, Mindfulness, Information System Design for Well-Being, Eudaimonia

Publications

Teaching

courses taught

  • CSCI 2270 - Computer Science 2: Data Structures
    Primary Instructor - Spring 2018
    Studies data abstractions (e.g., stacks, queues, lists, trees, graphs, heaps, hash tables, priority queues) and their representation techniques (e.g., linking, arrays). Introduces concepts used in algorithm design and analysis including criteria for selecting data structures to fit their applications. Degree credit not granted for this course and CSCI 2275. Same as CSPB 2270.
  • CSCI 3702 - Cognitive Science
    Primary Instructor - Spring 2021
    Introduces cognitive science, drawing from psychology, philosophy, artificial intelligence, neuroscience, and linguistics. Studies the linguistic relativity hypothesis, consciousness, categorization, linguistic rules, the mind-body problem, nature versus nurture, conceptual structure and metaphor, logic/problem solving and judgment. Emphasizes the nature, implications and limitations of the computational model of mind. Recommended prerequisites: two of the following CSCI 1300 or CSCI 2275 or LING 2000 or PHIL 2440 or PSYC 2145. Same as LING 3005 and PHIL 3310 and PSYC 3005 and SLHS 3003 and CSPB 3702.
  • CSPB 3702 - Cognitive Science
    Primary Instructor - Summer 2020
    Introduces cognitive science, drawing from psychology, philosophy, artificial intelligence, neuroscience, and linguistics. Studies the linguistic relativity hypothesis, consciousness, categorization, linguistic rules, the mind-body problem, nature versus nurture, conceptual structure and metaphor, logic/problem solving and judgment. Emphasizes the nature, implications and limitations of the computational model of mind. Recommended prerequisites: two of the following CSCI 1300 or CSCI 2275 or LING 2000 or PHIL 2440 or PSYC 2145. Same as LING 3005 and PHIL 3310 and PSYC 3005 and SLHS 3003 and CSCI 3702.
  • INFO 1201 - Computational Reasoning 1: Expression and Media Transformation
    Primary Instructor - Fall 2018 / Spring 2019 / Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021
    Introduces principles of computational thinking through the manipulation, transformation and creation of media artifacts, such as images, animations, sounds, web pages, data visualizations and games. Students will be exposed to a high-level overview of how algorithms, functions and data structures are used in computer programming through a series of assignments that emphasize the use of computation as a means of creative expression. Degree credit not granted for this course and LING 1200 or CSCI 1200.
  • INFO 2201 - Computational Reasoning 2: Representations of Data
    Primary Instructor - Spring 2019 / Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021
    Surveys techniques for representing data and expressing relationships among data, both at small scales (for example, via programmatic data structures) and at large scales (for example, in various kinds of database systems). Introduces fundamentals of algorithm analysis and the trade-offs involved in managing data using different approaches, tools and organizing principles. Requires demonstrated proficiency with introductory computer programming.
  • INFO 4609 - User-Centered Design
    Primary Instructor - Fall 2019 / Spring 2020 / Fall 2020
    Surveys the theoretical and practical foundations of human-computer interaction and user-centered design. Students learn theories of interaction (including cognitive, organizational, collaborative, and task-based approaches), user interface design techniques, design guidelines, and usability testing in the context of developing technology. Course content is explored through a variety of interfaces (desktop, mobile, touch, vision, audio, etc.) and contexts (personal, organizational, cross-cultural, etc.). Counts as Mastery in Information Science. Same as INFO 5609.
  • INFO 4700 - Senior Capstone
    Primary Instructor - Spring 2019
    Provides senior level INFO students an opportunity to demonstrate the culmination of their learning in the major by designing and implementing a significant information system or developing a research question, typically in response to a problem of personal interest related to or informed by their secondary area of specialization. Reinforces project planning, public presentation and ethic skills.
  • INFO 5609 - User-Centered Design
    Primary Instructor - Fall 2019 / Spring 2020 / Fall 2020
    Surveys the theoretical and practical foundations of human-computer interaction and user-centered design. Students learn theories of interaction (including cognitive, organizational, collaborative, and task-based approaches), user interface design techniques, design guidelines, and usability testing in the context of developing technology. Course content is explored through a variety of interfaces (desktop, mobile, touch, vision, audio, etc.) and contexts (personal, organizational, cross-cultural, etc.). Same as INFO 4609.
  • LING 3005 - Cognitive Science
    Primary Instructor - Spring 2021
    Introduces cognitive science, drawing from psychology, philosophy, artificial intelligence, neuroscience, and linguistics. Studies the linguistic relativity hypothesis, consciousness, categorization, linguistic rules, the mind-body problem, nature versus nurture, conceptual structure and metaphor, logic/problem solving and judgment. Emphasizes the nature, implications and limitations of the computational model of mind. Recommended prerequisites: two of the following CSCI 1300 or LING 2000 or PHIL 2440 or PSYC 2145. Same as CSCI 3702 and PHIL 3310 and PSYC 3005 and SLHS 3003 and CSPB 3702.
  • PHIL 3310 - Cognitive Science
    Primary Instructor - Spring 2021
    Introduces cognitive science, drawing from psychology, philosophy, artificial intelligence, neuroscience, and linguistics. Studies the linguistic relativity hypothesis, consciousness, categorization, linguistic rules, the mind-body problem, nature versus nurture, conceptual structure and metaphor, logic/problem solving and judgment. Emphasizes the nature, implications and limitations of the computational model of mind. Recommended prerequisites: two of the following CSCI 1300 or LING 2000 or PHIL 2440 or PSYC 2145. Same as LING 3005 and CSCI 3702 and PSYC 3005 and SLHS 3003 and CSPB 3702.
  • PSYC 3005 - Cognitive Science
    Primary Instructor - Spring 2021
    Provides an introductory survey of influential models, theoretical approaches, and methods of cognitive science. Emphasizes and explains the convergence by work in multiple fields - including psychology and neuroscience, linguistics, computer science, and philosophy - on the idea that mental activity is a form of computation. Students from diverse backgrounds are introduced to a wide range of methods and approaches, including behavioral and neuroimaging experimental approaches, computational modeling and philosophical work. Department enforced prerequisites: two of the following CSCI 1300 or LING 2000 or PSYC 2145. Same as CSCI 3702 and LING 3005 and PHIL 3310 and SLHS 3003.
  • SLHS 3003 - Cognitive Science
    Primary Instructor - Spring 2021
    Introduces cognitive science, drawing from psychology, philosophy, artificial intelligence, neuroscience, and linguistics. Studies the linguistic relativity hypothesis, consciousness, categorization, linguistic rules, the mind-body problem, nature versus nurture, conceptual structure and metaphor, logic/problem solving and judgment. Emphasizes the nature, implications and limitations of the computational model of mind. Recommended prerequisites: two of the following CSCI 1300 or LING 2000 or PHIL 2240 or PSYC 2145. Same as LING 3005 and PHIL 3310 and PSYC 3005 and CSCI 3702 and CSPB 3702.

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