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Power Spreadsheets for Business Analysts

OIM

This course provides an introduction to advanced spreadsheet techniques and programming using macros and Visual Basic for Applications (VBA) in Excel. The focus is on automation of repetitive tasks, including data manipulation as well as data analysis. Experience with Excel is recommended. No prior programming experience expected.

Course Details

Fall 2024

This class is non-credit
Course Notes
OIM majors and non-OIM Isenberg majors should monitor the course via Spire for seat availability. Students who add themselves to the Spire waitlist should ensure they do not enroll in a course that conflicts with this course or are enrolled in a max number of credits. 30 seats are reserved for declared OIM majors. Remaining seats are available to non-OIM Isenberg majors who meet the enrollment requirements. Please contact the Isenberg Undergraduate Programs Office at undergrad@isenberg.umass.edu if you meet the enrollment requirements, seats are available, and you are unable to self-enroll or add yourself to the Spire waitlist (if open as indicated by a yellow triangle). Please note that for all OIM courses, the Department utilizes the Spire waitlist. The Registrar will stop promoting students on the Spire waitlist about one week prior to the beginning of classes. Once the Spire waitlist is no longer functional, you will need to monitor the class and self-enroll if a seat becomes available.

Business Applications of Python

OIM

This course provides an introduction to applications of Python for business analytics. This class will focus on data extraction and manipulation as well as automating data analysis tasks to support the larger goal of improving business outcomes through data-driven insights. No prior programming experience expected.

Course Details

Fall 2024

This class is non-credit
Course Notes
OIM majors and non-OIM Isenberg majors should monitor the course via Spire for seat availability. Students who add themselves to the Spire waitlist should ensure they do not enroll in a course that conflicts with this course or are enrolled in a max number of credits. 30 seats are reserved for declared OIM majors. Remaining seats are available to non-OIM Isenberg majors who meet the enrollment requirements. Please contact the Isenberg Undergraduate Programs Office at undergrad@isenberg.umass.edu if you meet the enrollment requirements, seats are available, and you are unable to self-enroll or add yourself to the Spire waitlist (if open as indicated by a yellow triangle). Please note that for all OIM courses, the Department utilizes the Spire waitlist. The Registrar will stop promoting students on the Spire waitlist about one week prior to the beginning of classes. Once the Spire waitlist is no longer functional, you will need to monitor the class and self-enroll if a seat becomes available.

Business Applications of Python

OIM

This course provides an introduction to applications of Python for business analytics. This class will focus on data extraction and manipulation as well as automating data analysis tasks to support the larger goal of improving business outcomes through data-driven insights. No prior programming experience expected.

Course Details

Fall 2024

This class is non-credit
Course Notes
OIM majors and non-OIM Isenberg majors should monitor the course via Spire for seat availability. Students who add themselves to the Spire waitlist should ensure they do not enroll in a course that conflicts with this course or are enrolled in a max number of credits. 30 seats are reserved for declared OIM majors. Remaining seats are available to non-OIM Isenberg majors who meet the enrollment requirements. Please contact the Isenberg Undergraduate Programs Office at undergrad@isenberg.umass.edu if you meet the enrollment requirements, seats are available, and you are unable to self-enroll or add yourself to the Spire waitlist (if open as indicated by a yellow triangle). Please note that for all OIM courses, the Department utilizes the Spire waitlist. The Registrar will stop promoting students on the Spire waitlist about one week prior to the beginning of classes. Once the Spire waitlist is no longer functional, you will need to monitor the class and self-enroll if a seat becomes available.

Introduction to Operations Management

OIM

An introduction to operations management in manufacturing and service industries. Emphasis on learning the basic principles, using MS EXCEL, required to organize and manage service and manufacturing organizations. Topics may include improved facility layout, project management, supply-chain management, Just-in-Time systems, inventory management, scheduling, and work force management. Discussions of real world applications frequently used to demonstrate concepts.

Course Details

Fall 2024

This class is non-credit
Course Notes
This course has reserved seating for Business Minor students. If you are unable to enroll in this class, the number of reserved seats has been met. Please continue to monitor Spire for seat availability or add yourself to the Spire waitlist, if open. Enrollment in this class is managed by the Isenberg Undergraduate Programs Office. Please do not contact the instructor with enrollment inquiries. Please direct questions to the Isenberg Undergraduate Programs Office at undergrad@isenberg.umass.edu.

Introduction to Operations Management

OIM

An introduction to operations management in manufacturing and service industries. Emphasis on learning the basic principles, using MS EXCEL, required to organize and manage service and manufacturing organizations. Topics may include improved facility layout, project management, supply-chain management, Just-in-Time systems, inventory management, scheduling, and work force management. Discussions of real world applications frequently used to demonstrate concepts.

Course Details

Fall 2024

This class is non-credit
Course Notes
This course has reserved seating for Business Minor students. If you are unable to enroll in this class, the number of reserved seats has been met. Please continue to monitor Spire for seat availability or add yourself to the Spire waitlist, if open. Enrollment in this class is managed by the Isenberg Undergraduate Programs Office. Please do not contact the instructor with enrollment inquiries. Please direct questions to the Isenberg Undergraduate Programs Office at undergrad@isenberg.umass.edu.

Introduction to Operations Management

OIM

An introduction to operations management in manufacturing and service industries. Emphasis on learning the basic principles, using MS EXCEL, required to organize and manage service and manufacturing organizations. Topics may include improved facility layout, project management, supply-chain management, Just-in-Time systems, inventory management, scheduling, and work force management. Discussions of real world applications frequently used to demonstrate concepts.

Course Details

Fall 2024

This class is non-credit
Course Notes
This course has reserved seating for Business Minor students. If you are unable to enroll in this class, the number of reserved seats has been met. Please continue to monitor Spire for seat availability or add yourself to the Spire waitlist, if open. Enrollment in this class is managed by the Isenberg Undergraduate Programs Office. Please do not contact the instructor with enrollment inquiries. Please direct questions to the Isenberg Undergraduate Programs Office at undergrad@isenberg.umass.edu.

Honors Independent Study in OIM

OIM

Description not available at this time

Course Details

Fall 2024

This class is non-credit

Business Data Analysis

OIM

This course introduces fundamental concepts and computations for statistical analysis of business data and real-world problems with an emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. The course covers basic descriptive statistical methods, sampling methodology, how to draw inferences from samples to larger populations and how to make predictions based upon historical relationships between variables. Theoretical background in descriptive and inferential statistical methods will be used support knowledge of the appropriate statistical test to perform in a given situation. The statistical methods that are covered in the course equip the student with the analytic reasoning and quantitative arguments that applies to all areas of business and management.

Course Details

Fall 2024

This class is non-credit
Course Notes
OIM majors and non-OIM Isenberg majors should monitor the course via Spire for seat availability. Students who add themselves to the Spire waitlist should ensure they do not enroll in a course that conflicts with this course or are enrolled in a max number of credits. Please note that for all OIM courses, the Department utilizes the Spire waitlist. The Registrar will stop promoting students on the Spire waitlist about one week prior to the beginning of classes. Once the Spire waitlist is no longer functional, you will need to monitor the class and self-enroll if a seat becomes available.

Business Data Analysis

OIM

This course introduces fundamental concepts and computations for statistical analysis of business data and real-world problems with an emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. The course covers basic descriptive statistical methods, sampling methodology, how to draw inferences from samples to larger populations and how to make predictions based upon historical relationships between variables. Theoretical background in descriptive and inferential statistical methods will be used support knowledge of the appropriate statistical test to perform in a given situation. The statistical methods that are covered in the course equip the student with the analytic reasoning and quantitative arguments that applies to all areas of business and management.

Course Details

Fall 2024

This class is non-credit
Course Notes
OIM majors and non-OIM Isenberg majors should monitor the course via Spire for seat availability. Students who add themselves to the Spire waitlist should ensure they do not enroll in a course that conflicts with this course or are enrolled in a max number of credits. Please note that for all OIM courses, the Department utilizes the Spire waitlist. The Registrar will stop promoting students on the Spire waitlist about one week prior to the beginning of classes. Once the Spire waitlist is no longer functional, you will need to monitor the class and self-enroll if a seat becomes available.

Business Data Analysis

OIM

This course introduces fundamental concepts and computations for statistical analysis of business data and real-world problems with an emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. The course covers basic descriptive statistical methods, sampling methodology, how to draw inferences from samples to larger populations and how to make predictions based upon historical relationships between variables. Theoretical background in descriptive and inferential statistical methods will be used support knowledge of the appropriate statistical test to perform in a given situation. The statistical methods that are covered in the course equip the student with the analytic reasoning and quantitative arguments that applies to all areas of business and management.

Course Details

Fall 2024

This class is non-credit
Course Notes
OIM majors and non-OIM Isenberg majors should monitor the course via Spire for seat availability. Students who add themselves to the Spire waitlist should ensure they do not enroll in a course that conflicts with this course or are enrolled in a max number of credits. Please note that for all OIM courses, the Department utilizes the Spire waitlist. The Registrar will stop promoting students on the Spire waitlist about one week prior to the beginning of classes. Once the Spire waitlist is no longer functional, you will need to monitor the class and self-enroll if a seat becomes available.
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