Business Support Systems with Excel

Curriculum guideline

Effective Date:
Course
Discontinued
No
Course code
CSIS 3190
Descriptive
Business Support Systems with Excel
Department
Computing Studies & Information Systems
Faculty
Commerce & Business Administration
Credits
3.00
Start date
End term
Not Specified
PLAR
No
Semester length
15 Weeks
Max class size
35
Contact hours
4 hours per week
Method(s) of instruction
Lecture
Lab
Learning activities

Lecture and Lab

Course description
In this course, students will build on their knowledge to apply advanced Excel features to create unique business support systems (BSS). Topics include Advanced Functions (Business, Statistics, Logical), Macro's, Power Pivot Tables, User Defined Functions (UDF), What-If Analysis tools and Power BI Dashboards. This is a case-based course where students will be presented with real world capstone business problems and create multifaceted business systems using Excel and the agile system development methodology.
Course content

During our work together in this course, students will:

  • Review the fundamental terms, concepts and theories associated with BSS, computerized decision aids, expert systems, group support systems and executive information systems.
  • Examine business cases that support business decisions, and various planning , analysis and control tasks.
  • Develop the systems using agile planning, analysis, design and implementation of a computerized BSS.
  • Design Power BI interfaces and create custom dashboards.
  • Use what-If analysis tools
  • Use Power Pivot - Recognize that most business support systems are designed to support rather than replace decision makers.
  • Create documenting and training material to support a customized BSS.
Learning outcomes

At the end of the course, the successful student should be able to:

  • Evaluate the differences between a variety of business support systems.
  • Analyze a business problem and create a business support system using Excel.
  • Utilize power pivot tables to rapidly analyze large data sets.
  • Utilize One and Two variables
  • Utilize Scenario Manager
  • Utilize Goal Seek
  • Utilize Solver
  • Utilize Power Pivot
  • Utilize Power BI
  • Present a custom designed business support system (BSS) to management.
  • Demonstrate the knowledge necessary to apply these tools in practical examples.
Means of assessment
Business Case Assignments     10%-15%  
quizzes  20%-30%  
Midterm 30%-40%  
Final Exam*  30% - 40%  

* Practical hands-on computer exam

In order to pass the course, students must, in addition to receiving an overall course grade of 50%, also achieve a grade of at least 50% on the combined weighted examination components (including quizzes, tests, exams).

Students may conduct research as part of their coursework in this class. Instructors for the course are responsible for ensuring that student research projects comply with College policies on ethical conduct for research involving humans, which can require obtaining Informed Consent from participants and getting the approval of the Douglas College Research Ethics Board prior to conducting the research.

Textbook materials



• Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI

OR as approved by the dept

Prerequisites

min grade C in CSIS 1190 OR currently active in the 

PDD Data Analytics

PBD Computer Information System Data Analytics

Equivalencies

Courses listed here are equivalent to this course and cannot be taken for further credit:

  • No equivalency courses
Which prerequisite

None