Social Computing

The course "Chatbots" offers a deep dive into the world of chatbots, equipping learners with the skills to design, build, and optimize conversational interfaces. You will explore the evolution of chatbot technology and understand the fundamental mechanics that drive their functionality. Through hands-on projects using Amazon Lex and AWS, you'll not only learn to create chatbots but also how to evaluate their performance using machine learning classifiers. What sets this course apart is its practical approach, allowing you to apply theoretical knowledge in real-world scenarios. Collaborating with peers, you’ll tackle challenges together, enhancing your problem-solving skills while fostering a supportive learning environment. By the end of the course, you’ll have the confidence to develop functional chatbots tailored for various applications, from customer service to personal assistants. Whether you are a novice looking to enter the tech field or an experienced professional aiming to expand your skill set, this course provides invaluable insights and practical tools to advance your career in the rapidly growing chatbot landscape. Join us to unlock the potential of conversational AI!

The course, "Introduction to Social Computing" offers a comprehensive exploration of the intersection between technology and society, equipping learners with essential skills in social media analytics and influence. By covering a range of topics from data pre-processing to feature extraction and model evaluation, students will gain practical experience in applying machine learning techniques to real-world social media scenarios. Through hands-on modules, learners will delve into the dynamics of socio-technical systems and responsible AI, understanding how digital platforms shape human interactions and behaviors. The unique combination of theoretical insights and practical applications prepares students to navigate the complexities of social media, including analyzing firestorms and mitigating misinformation. What sets this course apart is its focus on gamification and cognitive biases in online environments, providing students with innovative strategies to enhance user engagement and promote critical thinking. Whether you are looking to advance your career in tech or simply understand the social implications of technology, this course will empower you to effectively analyze and leverage social computing in today’s digital landscape.

The "Social Network Analysis" course offers a comprehensive exploration of the intricate relationships within social networks, emphasizing the theoretical and practical applications of network analysis. Through engaging modules, learners will delve into advanced topics in graph theory, centrality measures, and statistical modeling, equipping them with the skills to analyze and interpret social structures effectively. By completing this course, learners will gain a solid understanding of how to identify key influencers, measure network cohesion, and conduct hypothesis testing using empirical data. What sets this course apart is its blend of theoretical foundations and hands-on experience using R programming for network analysis, specifically with tools like 'statnet' and 'RSiena.' Whether you’re looking to enhance your skills in data analysis or seeking to understand the dynamics of social behavior, this course will serve as a vital resource. With a focus on real-world applications, learners will emerge equipped to tackle complex social phenomena, making significant contributions to their fields.