Overview

Description

CALENDAR DESCRIPTION:

Specific details of courses to be offered will be published prior to enrollment each term. This course can be repeated for credit up to a maximum of three times, if topic studied is different. Variable units: 1, 2, 3, 4, 5, 6, 7, 8, 9.

COURSE DETAILS:

Exploring Artificial Intelligence: Its Use, Concepts, and Impact is designed to provide a comprehensive and accessible introduction to the world of artificial intelligence that will empower the students to navigate the AI-driven future. Students will explore fundamental AI concepts, including machine learning, neural networks, natural language processing, and computer vision; discover real-world applications, ethical considerations, and the societal impact of AI. 

The field of artificial intelligence (AI) has experienced exponential growth and has become increasingly pervasive in our everyday lives. From voice assistants to recommendation systems and autonomous vehicles, AI technologies are shaping various industries and transforming the way we live, work, and interact. It is essential for individuals from diverse academic backgrounds to have a foundational understanding of AI concepts, applications, and societal implications. By equipping students with AI knowledge, this course empowers students to navigate the AI-driven world, make informed decisions, and contribute meaningfully to the development and ethical implementation of AI technologies.

This course will cover key topics such as machine learning, neural networks, natural language processing, computer vision, and ethical considerations in AI. By providing a broad understanding of AI fundamentals, students will be better equipped to navigate and adapt to the evolving AI landscape. It will draw examples from the vast applications across various disciplines, including healthcare, finance, education, design and entertainment. This course will also dedicate specific modules to exploring these issues, encouraging critical thinking and responsible AI development and deployment.

Who is this course for?

Upper-level undergraduate students and graduate students with a keen interest in addressing real-world problems through building and integrating AI models in interactive technologies. 

 

COURSE-LEVEL EDUCATIONAL GOALS:

The students will:

• Develop an understanding of the fundamental concepts and principles of AI, including machine learning, neural networks, and data analysis.
• Gain familiarity with various AI techniques, algorithms, and methodologies used for problem-solving and decision-making, such as classification, regression, clustering, and reinforcement learning.
• Acquire practical skills in applying AI techniques through hands-on exercises and projects, including data preprocessing, model training, evaluation, and deployment. Students will use readily available libraries and tutorials to build upon and will not be required to implement from scratch.
• Explore the ethical implications of AI technologies, including issues of bias, fairness, transparency, and privacy, and develop an awareness of responsible AI development and deployment.
• Develop their critical thinking skills to analyze and evaluate AI algorithms, models, and results, and apply them effectively to solve complex problems in various domains including healthcare, finance, design, marketing, and robotics, and gain insights into emerging trends and challenges.
• Develop a mindset of continuous learning and adaptability to stay updated with advancements, emerging trends, and research in the field of AI.

 

Grading

Materials

MATERIALS + SUPPLIES:

Relevant readings will be provided online as needed. Students will be able to use the AI-capable computers in the labs during class and tutorial hours.

REQUIRED READING NOTES: