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Lecture
Reading Comprehension: Question Answering Systems
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Foundations of Information Systems: Course Overview and Key Concepts
Introduces the course on information systems, covering its structure, objectives, and foundational concepts essential for understanding data management and decision-making.
Word Embeddings: Models and Learning
Explores word embeddings, context importance, and learning algorithms for creating new representations.
Modern NLP and Ethics in NLP
Delves into advancements and challenges in NLP, along with ethical considerations and potential harms.
Deep Learning for NLP
Introduces deep learning concepts for NLP, covering word embeddings, RNNs, and Transformers, emphasizing self-attention and multi-headed attention.
Publication Analysis: Understanding Research Articles
Introduces publication analysis, emphasizing critical evaluation of research articles and effective reading strategies.
Probabilistic Retrieval
Covers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.
Designing Learning Experiences: CS411 Class Project
Introduces the CS411 Class Project, where students design and test a lesson using learning theories.
Reading in the Digital Age: Social Trends and Research Insights
Explores the vibrant reading culture on social media and the rise of social reading platforms like Wattpad.
Quantum Optics: Lecture I
Covers quantum optics, circuit quantum electrodynamics, and quantized harmonic oscillators.
