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Related lectures (28)
Memory Consistency: Basics and Models
Explores memory consistency basics, cache coherence, and modern CPU challenges.
Convergence & Choice of Finite Element Discretizations
Explores convergence, numerical pathologies, and mesh convergence studies in finite element discretizations.
Thermal Transfer and Efficiency in Cycles
Discusses thermal transfer, efficiency in cycles, Carnot cycle, heat pumps, Stirling engine, and ideal gases.
Environmental Legislation and Construction Law
Explores the police of constructions, legislative sources, material rules, and aesthetic aspects in construction law.
Understanding Statistics & Experimental Design
Covers basic probability theory, ANOVA, experimental design, and correlations, emphasizing the importance of planning multiple tests and power analysis.
Data Wrangling with Hadoop
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
Data Compression: Source Coding
Covers data compression techniques, including source coding and unique decodability concepts.
Memory Consistency Models: Performance Impact and Parallel Computing
Covers memory consistency models, parallel computing, atomic subroutines, GPU architecture, and multithreading.
General Introduction to Data Science
Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Approximation Algorithms
Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.

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