Modularity and Abstraction

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Related lectures (28)

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Complex Systems: Critical Phenomena

Explores critical phenomena in complex systems, including stochastic objects, percolation, and combinatorial optimization.

Computation & Algorithms II: Sorting and Recursive Algorithms

Explores sorting and recursive algorithms, including complexity analysis, maximal value, and binary search.

Linear Systems: Convergence and Methods

Explores linear systems, convergence, and solving methods with a focus on CPU time and memory requirements.

Graph Coloring: Theory and Applications

Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.

Summary of Result for Linear Regression

Summarizes the result for linear regression and introduces Vapnik-Chervonenkis dimension and growth function.

Introduction to Object-Oriented Programming

Covers the basics of object-oriented programming in C++, including encapsulation, abstraction, and the importance of grouping data and methods.

Lifecycle Management and Systems Engineering

Explores Lifecycle Management, 'Illities' in system design, ISO 15288 standard, challenges faced by satellite systems, and the role of stakeholders in system value networks.

Support Vector Machines: Formulation and Complexity

Explores the formulation and complexity of Support Vector Machines, including primal and dual forms, geometric interpretation, and algorithmic implications.

SmartDataLake: Distributed Analytics over Heterogeneous Data

Discusses challenges in scalable analytics over heterogeneous Big Data and introduces SmartDataLake for efficient handling of raw data.