 | Please note that undergraduate university studies courses listed on SeaNet meet requirements for students with the current catalog year only. Undergraduates should check with their academic advisor, review their degree audit, and check their catalog year for specific university studies requirements that they need to fulfill their degree. |
| Statistical Analysis for Business and Economics - 21207 - BAN 280 - 001 | |||||||||||||||||||||
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All students are expected to attend and participate in person at the assigned day/time. (F2F) Associated Term: Spring 2023 Registration Dates: Oct 28, 2022 to Jan 19, 2023 Levels: Undergraduate Attributes: UnvStdy Math & Statistics Main Campus Lecture Schedule Type 3.000 Credits View Catalog Entry
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| Statistical Analysis for Business and Economics - 21208 - BAN 280 - 002 | |||||||||||||||||||||
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All students are expected to attend and participate in person at the assigned day/time. (F2F) Associated Term: Spring 2023 Registration Dates: Oct 28, 2022 to Jan 19, 2023 Levels: Undergraduate Attributes: UnvStdy Math & Statistics Main Campus Lecture Schedule Type 3.000 Credits View Catalog Entry
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| Statistical Analysis for Business and Economics - 21209 - BAN 280 - 003 | |||||||||||||||||||||
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All students are expected to attend and participate in person at the assigned day/time. Some course content will be delivered online asynchronously. (PFAO) Associated Term: Spring 2023 Registration Dates: Oct 28, 2022 to Jan 19, 2023 Levels: Undergraduate Attributes: UnvStdy Math & Statistics Main Campus Lecture Schedule Type Less than 50% Web/Class Instructional Method 3.000 Credits View Catalog Entry
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| Statistical Analysis for Business and Economics - 21210 - BAN 280 - 004 | |||||||||||||||||||||
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All students are expected to attend and participate in person at the assigned day/time. Some course content will be delivered online asynchronously. (PFAO) Associated Term: Spring 2023 Registration Dates: Oct 28, 2022 to Jan 19, 2023 Levels: Undergraduate Attributes: UnvStdy Math & Statistics Main Campus Lecture Schedule Type Less than 50% Web/Class Instructional Method 3.000 Credits View Catalog Entry
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| Statistical Analysis for Business and Economics - 21218 - BAN 280 - 005 | |||||||||||||||||||||
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All students are expected to attend and participate in person at the assigned day/time. (F2F) Associated Term: Spring 2023 Registration Dates: Oct 28, 2022 to Jan 19, 2023 Levels: Undergraduate Attributes: UnvStdy Math & Statistics Main Campus Lecture Schedule Type 3.000 Credits View Catalog Entry
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| Statistical Analysis for Business and Economics - 21249 - BAN 280 - 006 | |||||||||||||||||||||
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All students are expected to attend and participate in person at the assigned day/time. (F2F) Associated Term: Spring 2023 Registration Dates: Oct 28, 2022 to Jan 19, 2023 Levels: Undergraduate Attributes: UnvStdy Math & Statistics Main Campus Lecture Schedule Type 3.000 Credits View Catalog Entry
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| Statistical Analysis for Business and Economics - 21237 - BAN 280 - 007 | |||||||||||||||||||||
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All students are expected to attend and participate in person at the assigned day/time. (F2F) Associated Term: Spring 2023 Registration Dates: Oct 28, 2022 to Jan 19, 2023 Levels: Undergraduate Attributes: UnvStdy Math & Statistics Main Campus Lecture Schedule Type 3.000 Credits View Catalog Entry
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| Statistical Analysis for Business and Economics - 24109 - BAN 280 - 008 | |||||||||||||||||||||
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All students are expected to attend and participate in person at the assigned day/time. (F2F) Associated Term: Spring 2023 Registration Dates: Oct 28, 2022 to Jan 19, 2023 Levels: Undergraduate Attributes: UnvStdy Math & Statistics Main Campus Lecture Schedule Type 3.000 Credits View Catalog Entry
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| Statistical Analysis for Business and Economics - 21268 - BAN 280 - 800 | |||||||||||||||||||||
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All students are to complete course content online asynchronously. (OLASY) Associated Term: Spring 2023 Registration Dates: Oct 28, 2022 to Jan 19, 2023 Levels: Undergraduate Attributes: UnvStdy Math & Statistics Extension Campus Lecture Schedule Type Fully Online - asynchronous Instructional Method 3.000 Credits View Catalog Entry
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