LabVIEW: Data Acquisition and Design Patterns

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Related lectures (30)

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Explores the theoretical properties and practical power of Recurrent Neural Networks, including their relationship to state machines and Turing completeness.

Design Patterns: Observer

Covers the implementation of the Observer design pattern in Java.

Design Patterns: Composite Objects and Array Structures

Explores composite objects, array structures, and design patterns in scientific computing, emphasizing efficient data handling and compute operations.

Programming Basics: VIAY Interface and File Handling

Explores VIAY interface, file handling, debugging, and multithreading in LabVIEW programming.

Design Patterns: Elements of Reusable Object-Oriented Software

Explores the principles of design patterns and their role in creating flexible object-oriented code.

State Machine Principle

Explores practical challenges to understand the state machine concept and the importance of clear instructions for robots.

Virtualization: Principles and Applications

Explores virtualization principles, implementation, and high availability in cloud computing.

Design Reflection Minute

Focuses on the SWISH principle in instructional design and the orchestration graph.

Design Patterns: Decorator Pattern

Covers the Decorator design pattern, focusing on extending the functionality of classes dynamically.

Finite State Machines: Medvedev vs. Moore vs. Mealy

Compares Medvedev, Moore, and Mealy FSM models and their structures.