Jamileh Yousefi
Associate Professor -
(10)
5
Location
Sydney, Nova Scotia, Canada
Bio

Dr. Jamileh Yousefi is an Associate Professor in the Shannon School of Business at the Cape Breton University since 2019. She received her Ph.D. in Computer Science from the University of Guelph (2018) and a MSc in Computer Science from Concordia University. Dr. Yousefi’s research involves artificial intelligence and machine learning techniques in decision exploration systems. In particular she is interested in the explanatory power of AI.

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Data visualization Data analysis Data modelling Machine learning Artificial intelligence

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Cape Breton University
Cape Breton University
Sydney, Nova Scotia, Canada

Capstone Project Business Analytics - Fall 2024

Oct 1, 2024 - Nov 30, 2024

This Capstone Project provides students with the opportunity to demonstrate competency on the key concepts of business analytics. Students will integrate knowledge gained throughout the program - including leadership and management principals, analytical skills, data visualization, data mining, and statistics – to complete the capstone project. By taking this course, students will be guided through the process of developing their soft (communications) and hard (Technical) skills while delivering a business analytics project to support decision making in organizations. The emphasis will be on the application of methodologies and analytical tools to solve real-world problems in R&D, marketing, supply chain, healthcare, finance and/or other disciplines.

Matches 3
Category Machine learning + 3
Closed
Cape Breton University
Cape Breton University
Sydney, Nova Scotia, Canada

Capstone Project Business Analytics -Section 11

BUSS-5802-11

Oct 17, 2023 - Nov 30, 2023

This Capstone Project provides students with the opportunity to demonstrate competency on the key concepts of business analytics. Students will integrate knowledge gained throughout the program - including leadership and management principals, analytical skills, data visualization, data mining, and statistics – to complete the capstone project. By taking this course, students will be guided through the process of developing their soft (communications) and hard (Technical) skills while delivering a business analytics project to support decision making in organizations. The emphasis will be on the application of methodologies and analytical tools to solve real-world problems in R&D, marketing, supply chain, healthcare, finance and/or other disciplines.

Matches 7
Category Machine learning + 3
Closed
Cape Breton University
Cape Breton University
Sydney, Nova Scotia, Canada

Capstone Project Business Analytics - Winter 2024

Feb 5, 2024 - Apr 9, 2024

This Capstone Project provides students with the opportunity to demonstrate competency on the key concepts of business analytics. Students will integrate knowledge gained throughout the program - including leadership and management principals, analytical skills, data visualization, data mining, and statistics – to complete the capstone project. By taking this course, students will be guided through the process of developing their soft (communications) and hard (Technical) skills while delivering a business analytics project to support decision making in organizations. The emphasis will be on the application of methodologies and analytical tools to solve real-world problems in R&D, marketing, supply chain, healthcare, finance and/or other disciplines.

Matches 12
Category Machine learning + 3
Closed
Cape Breton University
Cape Breton University
Sydney, Nova Scotia, Canada

Capstone Project Business Analytics - Section 15

Nov 15, 2023 - Dec 4, 2023

This Capstone Project provides students with the opportunity to demonstrate competency on the key concepts of business analytics. Students will integrate knowledge gained throughout the program - including leadership and management principals, analytical skills, data visualization, data mining, and statistics – to complete the capstone project. By taking this course, students will be guided through the process of developing their soft (communications) and hard (Technical) skills while delivering a business analytics project to support decision making in organizations. The emphasis will be on the application of methodologies and analytical tools to solve real-world problems in R&D, marketing, supply chain, healthcare, finance and/or other disciplines.

Matches 7
Category Machine learning + 3
Closed