Semester B
Mandatory
Big Data and Analytics
Introduction to basic signal processing methods (DFT, wavelets). Data preprocessing. Feature extraction, feature selection, dimensionality reduction (Singular Value Decomposition). Data compression methods (scalar and vector quantization, lossless and lossy compression). Spatial data indexing (Spatial Access Methods – k-d trees, quadtrees, z-ordering, space-filling curves, R-trees).
Learning Outcomes
1)
Understanding of basic techniques for processing and analyzing large-scale data
2)
Understanding and analyzing algorithms for the analysis and processing of multidimensional data
3)
Implementation of distributed analysis and large-scale data processing techniques
4)
Understanding the use of algorithmic optimization methods
5)
Design of techniques for the analysis and processing of large-scale, multidimensional, and multimodal data
6)
Experience in optimization techniques and multidimensional signal processing techniques
7)
Implementation of distributed techniques for large-scale data processing and analysis
General Skills
Data search & synthesis
Independent project
Team project
Inductive & Creative Thinking
Big data
Optimization methods
Syllabus
Week
Topic
1
Introduction to Smart Industry
2
Technologies related to Smart Industry
3
Cyber-Physical Systems
4
Internet of Things – Big Data
5
Machine Learning – Artificial Intelligence
6
Project Topic Selection
7
Blockchain Technology
8
3D – 4D Printing
9
Midterm Project Presentations
10
Applications: Predictive Maintenance
11
Applications: Mass Customization
12
Applications: Manufacturing Cloud
13
Final Project Presentations
Evaluation & Workload
Bibliographic Assignment
Project Implementation
Independent Study
Bibliography
Stephen Boyd, Lieven Vandenberghe
Strang, Gilbert
Yu. Nesterov
Stephen Boyd, Neal Parikh, Eric Chu, Borja Peleato and Jonathan Eckstein
Neal Parikh, Stephen Boyd
Course Information
Semester
B΄
Minutes per Week
180
Type
Specialized Knowledge
Requirements
Course Format
Synchronous
Asynchronous
Remote
e-class
Technologies & Tools
DTF/wavelets
OPC UA
Spatial Access Methods
Hadoop
Spark