HADM 4770

Last Updated

  • Schedule of Classes - January 15, 2024 7:50PM EST
  • Course Catalog - January 15, 2024 7:28PM EST

HADM 4770
Advanced Business Modeling

Course information provided by the Courses of Study 2023-2024.

This course 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: NSHA students. Not open to: first-year students.
Prerequisites/Corequisites Prerequisite: HADM 1740, HADM 2740, AEM 2010, FSAD 2880, or ILRID 2660. 
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 Nolan students must take HADM 4770/HADM 6770. 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 6770

  • 2 Credits Opt NoAud

  • 12271 HADM 4770   LEC 001

  •  
    • TR Statler Hall 365
    • Aug 21 - Oct 6, 2023

    • Tarantino, K

  • Instruction Mode: In Person
    Prerequisite: HADM 1740. Deadline to drop this course is August 25, 2023. Due to capacity restraints in the Binenkorb Lab, attendance at the first class is mandatory.

Syllabi: none

  •   Seven Week - Second.  Combined with: HADM 6770

  • 2 Credits Opt NoAud

  • 12690 HADM 4770   LEC 002

  •  
    • TR Statler Hall 365
    • Oct 11 - Dec 4, 2023

    • Tarantino, K

  • Instruction Mode: In Person
    Prerequisite: HADM 1740. The last day to drop this course is October 19, 2023. Due to capacity restraints in the Binenkorb Lab, attendance at the first class is mandatory.