CSU44081 – Entrepreneurship & High-Tech Venture Creation
(Semester 2, 5 ECTS) Explain how high tech venture creation operates, with an emphasis on the processes developed by the Silicon Valley venture community over the past 20 years
School of Computer Science and Statistics
(Semester 2, 5 ECTS) Explain how high tech venture creation operates, with an emphasis on the processes developed by the Silicon Valley venture community over the past 20 years
(Semester 2, 5 ECTS) The first part of this module introduces students to concurrency and concurrent
programming. The second part looks at aspects of the function and implementation of operating systems.
(Semester 2, 5 ECTS) This course takes a critical look at some of the architectural issues involved in, and paradigms available for, the construction of large-scale distributed systems such as the infrastructures supporting Google’s search engine or Amazon’s online sales platform. In particular, the course considers how to develop systems that must make trade-offs between performance, consistency, reliability, and availability.
Semester 2, 5 ECTS) The course targets the fundamental principles of computer and communication networking. A mix of fundamental concepts and principles, allied to recent and future technologies and advances, help ensure understanding of the many concepts, protocols, and technologies involved in modern networking.
(Semester 2; 5 ECTS) This module will cover simple linear regression and multiple regression, with underlying theory; regression model diagnostics and how to resolve problems; Generalised Linear Models (GLMs), to include an overview of GLMs, logistic regression, Poisson regression and ordinal regression.
(Semester 2, 5 ECTS) This module introduces students to the discipline of software engineering and
requires them to work in groups to complete a complex software project.
(Semester 2, 5 ECTS) This course introduces students to the object-oriented approach to program design and teaches them how to write programs in an object-oriented language (in this case Java). Students also have the opportunity to reinforce their problem solving and programming skills by developing solutions to programming problems and implementing those solutions as object-based programs.
(Semester 2, 5 ECTS) This module follows on directly from CSU33012 (Software Engineering) and focuses on the practical application of the various concepts and tools related to building software systems studied in third year software engineering.
(Semester 2, 5 ECTS) Mathematics is of interest to computer scientists due to the fact that it is both
practical and theoretical in nature.
Module Code ST8003 Module Name Linear Regression ECTS Weighting[1] 10 ECTS Semester taught Semester 2 Module Coordinator/s Prof. Simon Wilson Module Learning Outcomes On successful completion of this … Read more