3 classes matched your search criteria.
OLPD 3308 is also offered in Spring 2025
OLPD 3308 is also offered in Fall 2024
OLPD 3308 is also offered in Spring 2024
OLPD 3308 is also offered in Fall 2023
OLPD 3308 is also offered in Summer 2023
OLPD 3308 is also offered in Spring 2023
OLPD 3308 is also offered in Fall 2022
OLPD 3308 is also offered in Spring 2022
OLPD 3308 is also offered in Fall 2021
Fall 2024 | OLPD 3308 Section 001: Data-Driven Decision-Making in BME and HRD (16557)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- A-F only
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
- Online Course
- Enrollment Requirements:
- BME or IDP or ICP mjrs, or Sales cert
- Times and Locations:
- Regular Academic Session09/03/2024 - 12/11/2024Tue, Thu 09:45AM - 11:00AMUMTC, East BankHubert H Humphrey Center 60
- Enrollment Status:
- Closed (28 of 28 seats filled)
- Also Offered:
- Course Catalog Description:
- Living in the age of technology has implications for everyone in Business & Marketing Education (BME) and Human Resource Development (HRD). Technology that makes it possible to collect huge amounts of data has given more individuals and organizations the power and responsibility to analyze data and make decisions based on this data. The amount of data being collected on our preferences, attitudes, and behaviors will only increase in the future, and this rich data can be used towards a variety of ends. In this course, we will use quantitative methods to uncover the information in large data sets and then consider how individuals and organizations are able to gain a competitive advantage by acting on this information. Topics covered in this course include: - Critical analysis of complex issues related to BME and HRD in organizations. - Major techniques of quantitative data analyses used in BME and HRD. - How to use of Excel and Excel Add-in Tools to conduct data analyses. - How to make effective decisions based on quantitative information in BME and HRD situations. - Effective reporting of quantitative results to meet the expectations of stakeholders.
- Class Notes:
- Course is reserved for BME, HRD, and Sales Certificate students. ICP and IDP students can register with a permission #. Request permission by completing the following form: https://z.umn.edu/UGOLPDpermission All other students not listed above are permitted to register beginning Friday, May 3, 2024, for open seats. Interested students may add their name to the waitlist to obtain priority to register for open seats (without using a permission #--just click the "add name to waitlist" checkbox when attempting to register. Contact ugolpd@umn.edu with any questions or concerns.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/16557/1249
Fall 2024 | OLPD 3308 Section 002: Data-Driven Decision-Making in BME and HRD (16527)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- A-F only
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Partially Online
- Class Attributes:
- Online Course
- Enrollment Requirements:
- BME or IDP or ICP mjrs, or Sales cert
- Times and Locations:
- Regular Academic Session09/03/2024 - 12/11/2024Wed 01:00PM - 02:15PMUMTC, East BankScience Teaching Student Svcs 530
- Enrollment Status:
- Closed (41 of 41 seats filled)
- Also Offered:
- Course Catalog Description:
- Living in the age of technology has implications for everyone in Business & Marketing Education (BME) and Human Resource Development (HRD). Technology that makes it possible to collect huge amounts of data has given more individuals and organizations the power and responsibility to analyze data and make decisions based on this data. The amount of data being collected on our preferences, attitudes, and behaviors will only increase in the future, and this rich data can be used towards a variety of ends. In this course, we will use quantitative methods to uncover the information in large data sets and then consider how individuals and organizations are able to gain a competitive advantage by acting on this information. Topics covered in this course include: - Critical analysis of complex issues related to BME and HRD in organizations. - Major techniques of quantitative data analyses used in BME and HRD. - How to use of Excel and Excel Add-in Tools to conduct data analyses. - How to make effective decisions based on quantitative information in BME and HRD situations. - Effective reporting of quantitative results to meet the expectations of stakeholders.
- Class Notes:
- HYBRID SECTION: This section meets in person once per week, but also includes asynchronous content to account for the reduced in-class course structure. ICP and IDP students can register with a permission #. Request permission by completing the following form: https://z.umn.edu/UGOLPDpermission All other students not listed above are permitted to register beginning Friday, May 2, 2024, for open seats. Interested students may add their name to the waitlist to obtain priority to register for open seats (without using a permission #--just click the "add name to waitlist" checkbox when attempting to register. Contact ugolpd@umn.edu with any questions or concerns. Course is reserved for BME, HRD, and Sales Certificate students.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/16527/1249
Fall 2024 | OLPD 3308 Section 003: Data-Driven Decision-Making in BME and HRD (16902)
- Instructor(s)
- No instructor assigned
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- A-F only
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
- Online Course
- Enrollment Requirements:
- BME or IDP or ICP mjrs, or Sales cert
- Times and Locations:
- Regular Academic Session09/03/2024 - 12/11/2024Mon, Wed 02:30PM - 03:45PMUMTC, East BankScience Teaching Student Svcs 530
- Enrollment Status:
- Closed (41 of 41 seats filled)
- Also Offered:
- Course Catalog Description:
- Living in the age of technology has implications for everyone in Business & Marketing Education (BME) and Human Resource Development (HRD). Technology that makes it possible to collect huge amounts of data has given more individuals and organizations the power and responsibility to analyze data and make decisions based on this data. The amount of data being collected on our preferences, attitudes, and behaviors will only increase in the future, and this rich data can be used towards a variety of ends. In this course, we will use quantitative methods to uncover the information in large data sets and then consider how individuals and organizations are able to gain a competitive advantage by acting on this information. Topics covered in this course include: - Critical analysis of complex issues related to BME and HRD in organizations. - Major techniques of quantitative data analyses used in BME and HRD. - How to use of Excel and Excel Add-in Tools to conduct data analyses. - How to make effective decisions based on quantitative information in BME and HRD situations. - Effective reporting of quantitative results to meet the expectations of stakeholders.
- Class Notes:
- Course is reserved for BME, HRD, and Sales Certificate students. ICP and IDP students can register with a permission #. Request permission by completing the following form: https://z.umn.edu/UGOLPDpermission All other students not listed above are permitted to register beginning Friday, May 2, 2024, for open seats. Interested students may add their name to the waitlist to obtain priority to register for open seats (without using a permission #--just click the "add name to waitlist" checkbox when attempting to register. Contact ugolpd@umn.edu with any questions or concerns.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/16902/1249
ClassInfo Links - Fall 2024 Org Leadership, Policy & Dev Classes
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