Explores the classification, molecular structures, mechanical behavior, and viscoelastic properties of polymers, emphasizing temperature effects and material responses.
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Explores the impact of big data, covering economic value, latency-sensitive and throughput-bound applications, graph analytics, and challenges in utilizing flash storage.
Explores vulnerabilities in web and software applications, discussing broken access control, injection flaws, and defense strategies like DEP and ASLR.
