Signal Processing and Machine Learning for Big Data

In this track you will get the right skills to fulfill the rising demand for analytics professionals and scientists in a broad range of industrial sectors. The track program has been designed to provide the scientific foundations and major technological challenges for extracting knowledge from the increasing number of real-world signals, such as speech, images, movies, music, biological and sensor readings, financial series, etc. as well as data provided by current and future communication systems.
Fundamental courses on statistical analysis, time series analysis and optimization methods, will provide the background for machine learning courses (predictive and descriptive learning, reinforcement learning and biologically-inspired models), and courses on signal processing techniques for large-scale data and massive processing of images and video
Practical activities will provide you hands-on experience approaching real use-cases in several application areas and industries such as large-scale media analytics, smart cities, ubiquitous wireless sensor networks, financial trading, environmental monitoring, robotics systems, etc.
Fundamentals
Signal Processing
Machine Learning
Applications and Practice
SIGNAL PROCESSING AND MACHINE LEARNING FOR BIG DATA
SEMESTER 1
Statistical Modelling (3C)
Time Series Analysis (4.5C)
Optimization Fundamentals (3C)
Optimization techniques for big data analysis (3C)
Predictive and Descriptive Learning (6C)
Machine Learning Lab (4.5C)
Data Science Foundations and Applications (2C)
SEMESTER 2
Signal Processing for Big Data (4C)
Big Data for Image and Video Signals (4C)
Bio-inspired learning (3C)
Reinforcement learning (3C)
Application Projects (4C)
Large-scale Media Analytics (4C)
Masters' Thesis (12C)

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