Undergraduate Seminar (398-0-70)

Topic

AI Neural Nets & Deep Learning

Instructors

Venus Jin

Meeting Info

Northwestern Qatar Room 2-227: Mon, Tues, Wed, Su 8:30AM - 11:00AM (AST)

Overview of class

Deep learning is a subfield of machine learning and is one of the most popular and quickly evolving fields in Artificial Intelligence (AI) and computational communication research. Deep learning is about using neural networks and finding patterns that mimic the human brain. This course will introduce students to fundamental concepts, basic terminologies, foundational theories, and essential algorithms of deep learning in the broader context of liberal arts education. This course will also discuss social, psychological, economic, marketing, cultural, logical, historical, and philosophical perspectives on AI and deep learning and their implications for human communication, smart media interfaces, and digital media environments. Topics for class discussion and case studies include, but are not limited to: (1) deep learning for social media influencer marketing; (2) deep learning for self-driving cars; (3) deep learning for product recommendations in e-commerce and mobile commerce; and (4) deep learning for content recommendations and user engagement on TikTok and Instagram. Additionally, students will develop fundamental skills in coding and programming languages required for the understanding of the fundamental mechanisms and algorithms of deep learning.

Registration Requirements

• Prerequisites: None


• Open to sophomore and above


• Satisfies AI and Media Minor

Enrollment Requirements

Enrollment Requirements: Registration is reserved for sophomore, juniors, and seniors only.