Category: s2

STP80140 Time Series

Module Code STP80140 Module Name Time Series ECTS Weighting[1] 5 ECTS Semester taught Semester 2 Module Coordinator/s   Dr Emma Howard Module Learning Outcomes On successful completion of this module, … Read more

CSU44033-MACHINE LEARNING APPLICATION TO RADIO AND OPTICAL NETWORKS

This module focuses on practical application of machine learning techniques to radio and optical transmission networks. It will start with an overview of the machine learning techniques that are applicable to some specific problems in the networking domain and then provide deeper insight into those that will be used in the lab to address the specific use cases described below.

CSP55040-MACHINE LEARNING APPLICATION TO RADIO AND OPTICAL NETWORKS

(Semester 2, 5 ECTS) This module focuses on practical application of machine learning techniques to radio and optical transmission networks. It will start with an overview of the machine learning techniques that are applicable to some specific problems in the networking domain and then provide deeper insight into those that will be used in the lab to address the specific use cases described below

STP80140 Time Series

Module Code STP80140 Module Name Time Series ECTS Weighting[1] 5 ECTS Semester taught Semester 2 Module Coordinator/s   Dr Emma Howard Module Learning Outcomes On successful completion of this module, … Read more

STP80130 – Multivariate Analysis

(Semester 2; 5 ECTS) This module will include the theory of multivariate distributions, including the multivariate Gaussian distribution.; methods for dimension reduction; classification methods and clustering techniques.

CSU23021 – Microprocessor Systems

(Semester 2, 5 ECTS) This module provides a holistic overview of how a typical general purpose computing system functions, followed by a deep-dive into the various key architectural features of such systems.

CSU11022 – Introduction to Computing II

(Semester 2, 5 ECTS) This module continues directly from CSU11021 and examines the structure and behavior of computer systems in greater depth. In particular, this module introduces students to the implementation of simple data structures (stacks, multi dimensional arrays, composite data types), subroutines (including parameter passing conventions), exceptions, interrupts and basic I/O at the machine level.

STP80080 Foundations of Data Science 1

Module Code STP80080 Module Name Foundations of Data Science 1 ECTS Weighting [1] 5 ECTS Semester taught Semester 2 Module Coordinator/s Prof. Simon Wilson Module Learning Outcomes On successful completion … Read more