Artificial Intelligence - Software Engineering Technology (Optional Co-op) draft

Program Overview

The Software Engineering Technology - Artificial Intelligence (AI) program equips students with skills in AI application development technologies, preparing them for the growing demand for AI-driven solutions. The program aligns with industry trends and emphasizes modern software design, AI frameworks, machine learning, and ethical considerations. Graduates are well-prepared for careers as software engineers, data scientists, and other AI-related roles.

Program Outline

Degree Overview:

• The Software Engineering Technology - Artificial Intelligence (AI) program equips students with skills in state-of-the-art AI application development technologies.
• It prepares graduates for the growing demand for AI-driven solutions, with a global economic impact projected to reach trillions by 2025.
• The program aligns with industry trends, such as Augmented Analytics, AI-Driven Development, and Autonomous Things.
• The coursework emphasizes modern software design, AI frameworks, machine learning, data visualization, big data fundamentals, natural language processing, image recognition, recommender systems, software bots, digital ethics, and privacy guidelines for AI solutions.
• A capstone project allows students to apply their skills to real-world business applications, developing AI-enhanced software solutions for various tasks.

Outline:

Semester 1:

• Introduction to Software Engineering
• Introduction to Artificial Intelligence
• Mathematics for AI
• Object-Oriented Programming

Semester 2:

• Data Structures and Algorithms
• Machine Learning Concepts
• AI Applications
• Databases

Semester 3:

• Software Design Patterns
• Advanced Machine Learning
• Natural Language Processing
• Image Recognition

Semester 4:

• Recommender Systems and Collaborative Filtering
• Software Bots
• Digital Ethics and Privacy in AI
• AI Capstone Project

Semester 5:

• Agile Software Development
• Cloud Computing for AI
• Data Visualization
• Big Data Fundamentals

Semester 6:

• Advanced AI Topics (elective)
• AI in Industry (elective)
• Social and Ethical Implications of AI (elective)
• AI Capstone Project (continuation)

Assessment:

• Assignments and Projects: Students are evaluated based on their performance in various assignments, projects, and presentations throughout the program.
• Midterms and Finals: Midterm and final exams assess students' understanding of the concepts and skills covered in each module.
• Capstone Project: The capstone project is a major project that integrates and applies the knowledge and skills acquired throughout the program.
It is evaluated based on its originality, implementation, and presentation.
• Exams and Quizzes: Online exams and quizzes help students track their progress and receive feedback on their understanding of the course material.
• Participation: Active participation in class discussions and online forums is also considered in the assessment.

Teaching:

• The program is delivered by a team of experienced faculty members with expertise in software engineering and AI.
• Lectures, tutorials, labs, and online discussions are used to provide a comprehensive and engaging learning experience.
• Students have access to state-of-the-art labs equipped with industry-standard software and technologies.
• The fast-track version accommodates qualified college or university graduates with a background in software engineering, allowing them to complete the diploma requirements in four semesters.
• The program offers flexible options, including fully online and online with co-op, to cater to students' diverse needs.

Careers:

• The program prepares graduates for a wide range of career opportunities, including:
• Software Engineer with expertise in AI
• Data Scientist
• Machine Learning Engineer
• Natural Language Processing Engineer
• Image Recognition Engineer
• Software Architect
• Technical Lead in AI
• AI Consultant
• Entrepreneur in AI