PAM 5679

Last Updated

  • Schedule of Classes - May 15, 2019 12:56PM EDT
  • Course Catalog - March 4, 2019 1:00PM EST

PAM 5679
Desktop & Modeling Solutions

Course information provided by the Courses of Study 2018-2019.

This course presents an advanced approach to data-intensive problem-solving using Microsoft Excel. Advanced concepts such as external queries, data tables, arrays, iterative techniques and macros will be reviewed. These will then be incorporated into an integrated business model. Emphasis will be on clear, separated input and output, data integrity, user interface design, documentation, maintainability, robustness and user support.

When Offered Fall, Spring.

Permission Note Enrollment limited to: Sloan students.

Outcomes
  • To master the vocabulary of personal computing.
  • To understand the essentials of desktop and file management, especially with regard to security, safety, privacy and protection against data loss.
  • To be able to discriminate between seemingly competing software applications (spreadsheet, database, etc...) and be able to select the best application, or combination of applications, suited to a particular task.
  • To become highly proficient in the use of MS Office suite. The focus is on understanding the characteristics of each application and the tasks they are best suited to support.
  • To become an effective technological problem-solver, capable of assessing an overall problem, and understanding what the best combination of software applications, tools and techniques are to address the problem.
  • To expand students' Excel function vocabulary into the more flexible function categories, such as text parsing, time and date manipulation, index, lookup and array functions.
  • To expand students' ability to work with compound and nested logic within Excel formulas.
  • To learn how to implement data protection and validation strategy to maximize model robustness.
  • To learn how to use macros to automate redundant data management tasks.
  • To maximize understanding of Excel's charting engine in order to exploit advanced charting and graphing features. Outcome 11: To give students the experience and rigor of breaking a substantial problem down into its constituent pieces to allow for programmatic solution.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 16776 PAM 5679   LEC 001

  • Seats reserved for Sloan Students, CIPA Students, and PAM RAs/TAs. E-mail jrd292@cornell.edu to receive department permission to enroll.

    Department Consent Required (Add)