Department of Computer Sciences — 44 courses found
Introduction: Overview of pattern recognition, review of matrix algebra, probabi...
Introduction to social networks, random network models, identifying connected co...
Introduction to Computational Modeling, History, Motivation and Prospects; Model...
Social media platforms; data retrieval from social media platforms; analyzing so...
Introduction to recommender systems; Collaborative recommendation; Content-based...
Introduction to Nondeterministic and deterministic cryptography, Computationally...
Overview of the course and Metadata; History of schemes and metadata communities...
Review of Neural Networks, activation functions & back-propagation; multilayer n...
Probabilistic Graphical Models; Bayesian Networks; Directed Graphical Models; Un...
Introduction to High performance Computing (HPC); Parallel platforms; Interconne...
Big Data Platforms; Big Data Storage, Tools, Algorithms, and Platforms (NoSQL, M...
Data governance strategies; data governance processes; data governance tools; cl...
Introduction to NLP; Observations and Target Encoding; Tensors; Sequence Modelin...
Overview of the course and Information Visualization; Types of Graphs and Visual...
Introduction to Digital Preservation. Digital objects, and their preservation; K...
Introduction and overview of the course; Analytical Reasoning and Critical Think...
An overview of Distributed systems; Distribution system analysis and optimizatio...
Computer and communication network modeling; System performance evaluation; Data...
Introduction to Graphs; Introduction to Deep Learning; Algorithms for Node Embed...
Overview of social network analysis; dynamic networks – representation, measures...