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Publications in VIVO
 

Handler, Abram Kaufman Instructor

Positions

Publications

Teaching

courses taught

  • INFO 2301 - Quantitative Reasoning for Information Science
    Primary Instructor - Fall 2020 / Spring 2021 / Fall 2021
    Introduces methods for quantifying and analyzing different types of data, covering foundational concepts in discrete mathematics, probability, and predictive modeling, along with complementary computational skills to apply these concepts to real problems. Covers counting and combinatorics, logic, set theory, introductory probability, common probability distributions, regression, and model validation. Requires demonstrated proficiency with introductory computer programming.
  • INFO 3401 - Information Exploration
    Primary Instructor - Fall 2020 / Fall 2021
    Teaches students how to use information to identify interesting real world problems and to generate insight. Students will learn to find, collect, assemble and organize data to inspire new questions, make predictions, generate deliverables, and work towards solutions. They will learn to appropriately apply different methods (including computational, statistical and qualitative) for exploratory data analysis in a variety of domains.
  • INFO 3402 - Information Exposition
    Primary Instructor - Spring 2021
    Teaches students to communicate information to a wider audience and construct stories with data across a variety of domains. Students will learn to use data for rhetorical purposes, applying visual, statistical and interpretative methods. Students will learn to think critically about ethical and social implications of using data in expository media, including identification of bias.
  • INFO 4604 - Mastery in Information Science: Applied Machine Learning
    Primary Instructor - Fall 2020 / Summer 2021 / Fall 2021
    Introduces algorithms and tools for building intelligent computational systems. Methods will be surveyed for classification, regression and clustering in the context of applications such as document filtering and image recognition. Students will learn the theoretical underpinnings of common algorithms (drawing from mathematical disciplines including statistics and optimization) as well as the skills to apply machine learning in practice. Counts as Mastery in Information Science. Same as INFO 5604.
  • INFO 4700 - Senior Capstone
    Primary Instructor - Spring 2021
    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 5604 - Mastery in Information Science: Applied Machine Learning
    Primary Instructor - Fall 2020 / Summer 2021 / Fall 2021
    Introduces algorithms and tools for building intelligent computational systems. Methods will be surveyed for classification, regression and clustering in the context of applications such as document filtering and image recognition. Students will learn the theoretical underpinnings of common algorithms (drawing from mathematical disciplines including statistics and optimization) as well as the skills to apply machine learning in practice. Counts as Mastery in Information Science. Same as INFO 4604.

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