HADM 6770
Last Updated
- Schedule of Classes - January 11, 2024 7:32PM EST
- Course Catalog - January 11, 2024 7:07PM EST
Classes
HADM 6770
Course Description
Course information provided by the Courses of Study 2023-2024. Courses of Study 2023-2024 is scheduled to publish mid-June.
This class is taught in a 'flipped' environment. It focuses on organizational systems, planning, and the decision process and how information is used for decision support in organizations. Students are provided with practical skills in developing spreadsheet computer models using Microsoft Excel. Topics include: business planning and forecasting, numerical methods, advanced formulas and functions, user-interface design, data protection and validation, importing external data, and output presentation.
When Offered Fall, Spring.
Permission Note Enrollment preference given to: SHA graduate students.
Prerequisites/Corequisites Prerequisite: HADM 1740 or equivalent if approved by the instructor.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: HADM 4770, HADM 6770, ILRID 4699, ILRID 6990.
Comments Please Note: this course requires the use of a Windows machine. Using Mac's version of Excel is not allowed.
Seven Week - First. Combined with: HADM 4770
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Credits and Grading Basis
2 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Statler Hall 365
- Aug 21 - Oct 6, 2023
Instructors
Tarantino, K
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Additional Information
Instruction Mode: In Person
The last day to drop this course is August 28, 2023. Due to capacity restraints in the Binenkorb Lab, attendance at first class is mandatory.
Seven Week - Second. Combined with: HADM 4770
-
Credits and Grading Basis
2 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR Statler Hall 365
- Oct 11 - Dec 4, 2023
Instructors
Tarantino, K
-
Additional Information
Instruction Mode: In Person
The last day to drop this course is October 19, 2023. Due to capacity restraints in the Binenkorb Lab, attendance at first class is mandatory.
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