Description
Application of computational techniques to support business activities, such as decision making, business understanding, data analysis, business process automation, learning from data, producing and using data-centric business models, ontology-based data access and integration, data quality assessment and cleaning and use of contextual data.
Prerequisites
- Prerequisite(s): COMP 3005 .
Conditions and arrangements
- Prerequisite(s): COMP 3005 .
- Also offered at the graduate level, with different requirements, as COMP 5111 , for which additional credit is precluded.
- Lectures three hours a week.
Reference text in its original language
Application of computational techniques to support business activities, such as decision making, business understanding, data analysis, business process automation, learning from data, producing and using data-centric business models, ontology-based data access and integration, data quality assessment and cleaning and use of contextual data.
- Prerequisite(s): COMP 3005 .
- Also offered at the graduate level, with different requirements, as COMP 5111 , for which additional credit is precluded.
- Lectures three hours a week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/COMP/