Sherif Elbarrad
Professor
(57)
4
Location
Edmonton, Alberta, Canada
Bio

Professor of Accounting who works on creating several web-based tools to support students' learining.

Companies
Categories
Data visualization Marketing analytics Software development Artificial intelligence

Achievements

Latest feedback

Recent projects

MacEwan University: School of Business
MacEwan University: School of Business
Edmonton, Alberta, Canada

Level UP- MacEwan: Data sets creation - Phase 6

We would like students to help us with creating content that is aligned with our vision, mission, and sector. We will ensure the student has a clear understanding of what these elements are for our organization. The project is a project that is developing a web-based application to generate synthetic datasets for students. The application is to create datasets either based on tools actual data provided by the user, or the user can create their own customized data sets. The application creates a unique dataset for each studentinstructor, allows the isntructor to create queries, and then marks the students' submissions. The project is composed of three phases. Phase 1: Creation of synthetic datasets. Phase 2: Develop a customization process for creating the datasets. Phase 3: Developing a dataset test bank. Phase 4: Creating a query builder for the instructor. Phase 5: Develop a process to mark the student's answers to the query. We will provide guidance to all students.

Matches 2
Category Databases + 1
Closed
MacEwan University: School of Business
MacEwan University: School of Business
Edmonton, Alberta, Canada

Level- UP - MacEwan- Tutorial videos for Datasets application -4

We would like students to help us with creating content that is aligned with our vision, mission, and sector. We will ensure the student has a clear understanding of what these elements are for our organization. The aim of this project is to create promotional videos and tutorials for a group of web-based educational tools. We need a team of students to capture, edit and create promotional videos and tutorials for those educational tools. The project is composed of two new phases. Phase 3: Capture, edit and create promotional videos, in addition to some tutorial videos Phase 4: Capture, edit and create tutorial videos for the applications. We will provide guidance to all students.

Matches 1
Category Media + 4
Closed
MacEwan University: School of Business
MacEwan University: School of Business
Edmonton, Alberta, Canada

Level- UP - MacEwan- Tutorial videos for Datasets application -3

We would like students to help us with creating content that is aligned with our vision, mission, and sector. We will ensure the student has a clear understanding of what these elements are for our organization. The aim of this project is to create promotional videos and tutorials for a group of web-based educational tools. We need a team of students to capture, edit and create promotional videos and tutorials for those educational tools. The project is composed of two new phases. Phase 3: Capture, edit and create promotional videos, in addition to some tutorial videos Phase 4: Capture, edit and create tutorial videos for the applications. We will provide guidance to all students.

Matches 1
Category Media + 4
Closed
MacEwan University: School of Business
MacEwan University: School of Business
Edmonton, Alberta, Canada

Level UP- MacEwan: Data sets creation - Winter 2024

We would like students to help us with creating content that is aligned with our vision, mission, and sector. We will ensure the student has a clear understanding of what these elements are for our organization. The project is a project that is developing a web-based application to generate synthetic datasets for students. The application is to create datasets either based on tools actual data provided by the user, or the user can create their own customized data sets. The application creates a unique dataset for each studentinstructor, allows the isntructor to create queries, and then marks the students' submissions. The project is composed of three phases. Phase 1: Creation of synthetic datasets. Phase 2: Develop a customization process for creating the datasets. Phase 3: Developing a dataset test bank. Phase 4: Creating a query builder for the instructor. Phase 5: Develop a process to mark the student's answers to the query. We will provide guidance to all students.

Matches 1
Category Databases + 1
Closed