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.
Lecture and Lab
|Business Case Assignments||10%-15%|
|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.
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.
• Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI
OR as approved by the dept
min grade C in CSIS 1190 OR currently active in the
PDD Data Analytics
PBD Computer Information System Data Analytics
No corequisite courses.
Courses listed here are equivalent to this course and cannot be taken for further credit:
- No equivalency courses
Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester / year of the course, consider the previous version as the applicable version.
|Institution||Transfer Details||Effective Dates|
|Athabasca University (AU)||AU CMIS 2XX (3)||2017/01/01 to -|
|College of the Rockies (COTR)||COTR COMP 2XX (3)||2017/01/01 to -|
|Coquitlam College (COQU)||No credit||2017/01/01 to -|
|Kwantlen Polytechnic University (KPU)||KPU SOBU 1XXX (3)||2017/01/01 to -|
|Okanagan College (OC)||OC COSC 115 (1)||2017/01/01 to -|
|Simon Fraser University (SFU)||SFU BUS 1XX (3)||2017/01/01 to -|
|University Canada West (UCW)||UCW CMPT 2XX (3)||2017/01/01 to -|
|University Canada West (UCW)||UCW CPSC 3XX (3)||2006/01/01 to 2016/12/31|
|University of British Columbia - Okanagan (UBCO)||UBCO COSC 1st (3)||2017/01/01 to -|
|University of Northern BC (UNBC)||No credit||2017/01/01 to -|
|University of the Fraser Valley (UFV)||UFV BUS 160 (3) or UFV CIS 110 (3)||2017/01/01 to -|
|University of Victoria (UVIC)||No credit||2017/01/01 to -|