BCOR 1025 - Statistical Analysis in Business
Primary Instructor
-
Spring 2018 / Spring 2019 / Summer 2019 / Spring 2020 / Summer 2020 / Spring 2021
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 Microsoft Excel; iClickers. Equivalent - Duplicate Degree Credit Not Granted: MATH 2510, PSYC 2111, PSCI 2075, SOCY 2061.
BCOR 2202 - Principles of Organizational Behavior
Primary Instructor
-
Fall 2018
Focuses on the fundamentals of management from an organizational behavior perspective. 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, and well-being. A semester-long team project provides practice in teamwork and in applying the course concepts.
BCOR 2205 - Introduction to Information Management and Analytics
Primary Instructor
-
Fall 2018 / Fall 2019 / Summer 2020 / Fall 2020
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.
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 / Spring 2020 / Fall 2020 / Spring 2021
Focuses on the use of quantitative tools to interpret and solve important problems in business and finance. Makes use of spreadsheet modeling, analysis and mini-cases to present material. Ideal for those interested in quantitative methods and modeling. Degree credit not granted for this course and BUSM 3002.
ORGL 5015 - Analytics and Data-Driven Decision Making
Primary Instructor
-
Fall 2020 / Spring 2021 / Summer 2021 / Fall 2021 / Spring 2022 / Summer 2022 / Fall 2022 / Spring 2023 / Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
Focuses on analyzing data for making high quality predictions and decisions. The course covers use of statistical packages to make sense of large sets of data and turn them into actionable information for various audiences. The problems faced by decision makers in today's competitive business environment are often extremely complex and can be addressed by numerous possible courses of action. Evaluating these alternatives and choosing the best course of action represents the essence of this course.
