Lectures related to Exam Instructions & Big Data Infrastructures

Programming Models: Overview and Examples

Explores programming models for big data processing, including Spark's RDDs and optimizations.

Explores the Spark ecosystem's architectural choices, including RDDs and fault tolerance.

Interpreting Drawings and Project Discussion

Delves into Leonardo's automaton, programming concepts, evolution of automata, and experiments on light refraction.

Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.

Generative Models: Self-Attention and Transformers

Covers generative models with a focus on self-attention and transformers, discussing sampling methods and empirical means.

Introduction to Programming: First Steps

Covers the basics of programming, including the development cycle of a program, strong typing, data storage in Java variables, and primitive data types.

MapReduce: Execution Models for Distributed Computing

Introduces the MapReduce programming model for distributed computing, focusing on its vision and under-the-hood mechanisms.

Abstract Data Structures in C++

Covers procedural and object-oriented programming, abstract data structures, templates, and the C++ standard library.

Programming Concepts: Variables and Expressions

Covers fundamental programming concepts such as algorithms, variables, and expressions in C++.

Data-Parallel Programming: Vector & SIMD Processors

Explores data-parallel programming with vector processors and SIMD, and introduces MapReduce, Pregel, and TensorFlow.

Introduction to Iterations

Covers the 'for' loop in C++, demonstrating how to repeat instructions and avoid repetitive code.

FPGA Programming with Speedgoat: Real-Time Signal Processing

Focuses on implementing a square function generator using Speedgoat FPGA technology and real-time signal processing techniques.

Smith Theory in Floer Persistence and Dynamics

Covers Smith theory in Floer persistence and dynamics, exploring classical mechanics invariants, Poincaré-Birkhoff theorem, and the Hofer-Zehnder conjecture.

Statistical Mechanical Resistance: Ceramics

Covers statistical mechanical resistance in ceramics, including Weibull statistic and stable cracking behavior in compression.

Approximate Query Processing: BlinkDB

Introduces BlinkDB, a framework for approximate query processing using sampling techniques.

Creating a Maze Level

Demonstrates creating a maze level using Scratch with backgrounds, sprites, scripts, and controls.

Normal Distribution: Characteristics and Examples

Covers the characteristics and importance of the normal distribution, including examples and treatment scenarios.

Arrays: Declaration in Java

Covers the declaration and initialization of arrays in Java, including syntax rules and techniques for initializing elements.

Count Your Life Points

Covers the creation of a labyrinth level in Scratch, focusing on managing life points.

Pointers: Passing by Reference in C

Explains pointers in C, focusing on passing by reference and memory management techniques.