Programming Principles: Exceptions

Slides for COMP1004 Lectures on Exceptions

Programming Principles: The Strategy Pattern

Slides for COMP1004 Lecture on the Strategy Pattern

Programming Principles: Conclusions

This is the revision session for our Programming Principles course. We take a whistle-stop tour of the topics covered in the course, look at the three pillars of object oriented programming, and look ahead to the exam.

COMP1004 Programming Principles

These are the resources used for the Computer Science course Programming Principles, designed to teach students the fundamentals of computer programming and object orientation via learning the Java language. We also touch on some software engineering basics, such as patterns, software design and testing. The course assumes no previous knowledge of programming, but there is a fairly steep learning curve, and students are encouraged to practice, practice, practice!

Introduction to JavaScript Programming

These are the resources for an introductory lecture in JavaScript programming, intended to support use of node.js and divorced from browser programming.

Event Driven Programming in Java

Event driven programming is a way of writing a program that works by responding to things happening (rather than executing a preplanned series of tasks). It is most often used to manage more advanced user interactions, such as GUI programs. In this session we look at how event driven programming works in Java GUIs, as both an introduction to events (using MouseListeners), and also to the way that GUI programs are constructed.

COMP1204: Programming the Shell - Apple Handbook (2013)

This is optional reading, it provides a very nice and clear reference to BASH with references to CShell

Programming with Semantic Broad Data

Presentation at WAIS Away Day, April 2016

Dynamic programming for stochastic target problems, Viscosity solutions and hedging in markets with Portfolio constraints and large investors

The purpose of this expository arti le is to present a self- ontained overview of some results on the hara terization of the optimal value fun tion of a sto hasti target problem as (dis ontinuous) vis osity solution of a ertain dynami programming PDE and its appli ation to the problem of hedging ontingent laims in the presen e of portfolio onstraints and large investors