HADM 6770

Last Updated

  • Schedule of Classes - April 13, 2023 2:00PM EDT
  • Course Catalog - April 12, 2023 7:14PM EDT

HADM 6770
Advanced Business Modeling

Course information provided by the Courses of Study 2022-2023.

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.

View Enrollment Information

Syllabi: none

  •   Seven Week - First.  Combined with: HADM 4770

  • 2 Credits Opt NoAud

  • 11631 HADM 6770   LEC 001

    • TR Statler Hall 365
    • Aug 22 - Oct 7, 2022

    • Tarantino, K

  • Instruction Mode: In Person
    The last day to drop this course is August 29, 2022. Due to capacity restraints in the Binenkorb Lab, attendance at first class is mandatory: no-show students are dropped to make room for waitlisted students.

    Instructor Consent Required (Add)

Syllabi: none

  •   Seven Week - Second.  Combined with: HADM 4770

  • 2 Credits Opt NoAud

  • 11985 HADM 6770   LEC 002

  •  
    • TR Statler Hall 365
    • Oct 12 - Dec 5, 2022

    • Tarantino, K

  • Instruction Mode: In Person
    The last day to drop this course is October 20, 2022. Due to capacity restraints in the Binenkorb Lab, attendance at first class is mandatory: no-show students are dropped to make room for waitlisted students.