This specialization is designed for post-graduate students interested in mastering social computing techniques to solve real-world problems. Through four in-depth courses, learners will explore key topics such as social network analysis, chatbot development, crowdsourcing, and AI performance optimization. You will learn to analyze social networks using R programming, create functional chatbots with AWS, and enhance AI models by leveraging crowdsourced data and machine learning techniques. By the end of the specialization, you will have practical experience applying advanced tools and methodologies across domains like social media analytics, conversational interfaces, and human-AI collaboration. This hands-on, industry-relevant learning path equips you with the skills needed to excel in social computing, artificial intelligence, and data-driven innovation.
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Spécialisation Social Computing
Master Applied Skills in Social Computing. Learn advanced techniques to analyze social networks, build chatbots, and enhance AI with crowdsourcing
Instructeur : Ian McCulloh
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Expérience recommandée
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Ce que vous apprendrez
Analyze social media dynamics using advanced techniques in social computing.
Explore graph theory and centrality measures in social network analysis.
Utilize crowdsourcing to enhance AI through reliable data annotation.
Build and optimize chatbots using AWS for diverse applications.
Vue d'ensemble
Compétences que vous acquerrez
Outils que vous découvrirez
Ce qui est inclus
Ajouter à votre profil LinkedIn
Améliorez votre expertise en la matière
- Acquérez des compétences recherchées auprès d’universités et d’experts du secteur
- Maîtrisez un sujet ou un outil avec des projets pratiques
- Développez une compréhension approfondie de concepts clés
- Obtenez un certificat professionnel auprès de Johns Hopkins University
Spécialisation - série de 4 cours
Ce que vous apprendrez
Understand the basics of social computing and its relationship with social media and analytics.
Analyze how social media influences communication, behavior, and societal interactions.
Recognize how cognitive biases affect online behavior and the spread of information.
Explore how gamification enhances user motivation and improves social computing applications.
Compétences que vous acquerrez
Ce que vous apprendrez
Learn to calculate and interpret key centrality measures to identify influential nodes in social networks.
Gain skills in applying statistical models to analyze relationships and dynamics within social networks.
Understand how foundational social theories inform network analysis and shape interpretations of social interactions.
Compétences que vous acquerrez
Ce que vous apprendrez
Learn to construct and evaluate various machine learning classifiers and performance metrics.
Master the calculation and implications of Inter-Annotator Agreement (IAA) for data consistency.
Understand how to design and implement effective crowdsourcing tasks using Amazon Mechanical Turk.
Analyze crowdsourced data to enhance machine learning models and understand ethical considerations in AI.
Compétences que vous acquerrez
Ce que vous apprendrez
Explore the history and mechanics of chatbots, enhancing your understanding of their design and function.
Construct and evaluate machine learning classifiers using BERT for effective text classification tasks.
Gain hands-on experience in creating and configuring functional chatbots using AWS Chatbot services.
Compétences que vous acquerrez
Obtenez un certificat professionnel
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Foire Aux Questions
The specialization is designed to be completed at your own pace, but on average, it is expected to take approximately 4 months to finish if you dedicate around 5 hours per week. However, as it is self-paced, you have the flexibility to adjust your learning schedule based on your availability and progress.
You are encouraged to take the courses in the recommended sequence to ensure a smoother learning experience, as each course builds on the knowledge and skills developed in the previous ones. However, you are not required to follow a specific order, and you can take the courses in the order that best suits your needs and prior knowledge.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
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