• Contact Info

Fisher, Christina Marie Instructor

Positions

Teaching

courses taught

  • BCOR 1025 - Statistical Analysis in Business
    Primary Instructor - Spring 2018 / Spring 2019 / Summer 2019
    Covers sampling concepts, graphical and numerical data summaries, basic probability theory, discrete and continuous probability models, sampling distributions, hypothesis testing, correlation and both simple and multiple regression analysis. Students learn decision making and solving business problems by using data. Uses statistical features of Excel. Course requirements: laptop with Excel 2013 or newer; clickers. Credit not granted for this course and BCOR 1020.
  • BCOR 2202 - Principles of Organizational Behavior
    Primary Instructor - Fall 2018
    Focuses on the fundamentals of management. Students will learn the basic concepts and best practices in the behavioral sciences that can improve their abilities to lead and manage in organizations. Frameworks for individual, team, and organizational behavior are presented and discussed. Topics include personality traits, culture, decision making, teams, planning, motivation, leadership, well-being and human resources. A group project provides practice in teamwork and in applying the frameworks in practice. Credit not granted for this course and BCOR 2300, BCOR 2001
  • BCOR 2205 - Introduction to Information Management and Analytics
    Primary Instructor - Fall 2018 / Fall 2019
    Focuses on the fundamentals of managing information in a data driven business environment. Students will learn the basic concepts and best practices in Information Management that can improve their abilities to lead and manage in organizations. The class teaches cutting-edge tools and approaches to the analysis of data, including big data, for effective decision-making.It creates data connoisseurs through hands-on exposure to supervised machine learning. Application areas covered include human resources, marketing, finance, and supply chain. At the end of class, all students should be able to formulate common business problems in terms addressable through machine learning, and use automated machine learning tools to conduct the analysis and present deep insights to business leaders. Course requirements: clickers. Credit not granted for this course and BCOR 2500, BCOR 2001
  • BUSM 3002 - Business and Financial Analytics
    Primary Instructor - Spring 2018
    Focuses on the use of quantitative tools to interpret and solve important problems in business and finance. Makes extensive use of spreadsheet modeling, analysis and minicases to present material. Targeted at students with an interest in quantitative methods and modeling.
  • BUSM 3020 - Business and Financial Analytics I
    Primary Instructor - Fall 2018 / Spring 2019 / Fall 2019
    Focuses on the use of quantitative tools to interpret and solve important problems in business and finance. Makes extensive use of spreadsheet modeling, analysis and mini cases to present material. Targeted at students with an interest in quantitative methods and modeling. Degree credit not granted for this course and BUSM 3002.