Programming Principles: Software Design

In this session we look at some of the basics of good code design, including avoiding duplication and designing for loose coupling and high cohesion.

Programming Principles: Polymorphism

In this session we build on inheritance and look at overriding methods and dynamic binding. Together these give us Polymorphism - the third pillar of Object Oriented Programming - and a very powerful feature that allows us to build methods that deal with superclasses, but whose calls get redirected when we pass in sub-classes.

Programming Principles: Designing Applications

In this session we look at the how to use noun verb parsing to try and identify the building blocks of a problem, so that we can start to create object oriented solutions. We also look at some of the challenges of software engineering, and the processes that software engineers use to meet them, and finally we take a look at some more Design Patterns that may help us reuse well known and effective solutions in our own designs.

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

A teaching/learning support tool for introductory programming courses

In This work we present a Web-based tool developed with the aim of reinforcing teaching and learning of introductory programming courses. This tool provides support for teaching and learning. From the teacher's perspective the system introduces important gains with respect to the classical teaching methodology. It reinforces lecture and laboratory sessions, makes it possible to give personalized attention to the student, assesses the degree of participation of the students and most importantly, performs a continuous assessment of the student's progress. From the student's perspective it provides a learning framework, consisting in a help environment and a correction environment, which facilitates their personal work. With this tool students are more motivated to do programming

The effectiveness of assessment learning objects produced using pair programming

Pair Programming is a technique from the software development method eXtreme Programming (XP) whereby two programmers work closely together to develop a piece of software. A similar approach has been used to develop a set of Assessment Learning Objects (ALO). Three members of academic staff have developed a set of ALOs for a total of three different modules (two with overlapping content). In each case a pair programming approach was taken to the development of the ALO. In addition to demonstrating the efficiency of this approach in terms of staff time spent developing the ALOs, a statistical analysis of the outcomes for students who made use of the ALOs is used to demonstrate the effectiveness of the ALOs produced via this method.

Inclusion of nonlinear demand-supply relationships within large-scale partial equilibrium linear programming models

This paper presents a new method for the inclusion of nonlinear demand and supply relationships within a linear programming model. An existing method for this purpose is described first and its shortcomings are pointed out before showing how the new approach overcomes those difficulties and how it provides a more accurate and 'smooth' (rather than a kinked) approximation of the nonlinear functions as well as dealing with equilibrium under perfect competition instead of handling just the monopolistic situation. The workings of the proposed method are illustrated by extending a previously available sectoral model for the UK agriculture.

Modeling small-scale dairy farms in central Mexico using multi-criteria programming

Milk supply from Mexican dairy farms does not meet demand and small-scale farms can contribute toward closing the gap. Two multi-criteria programming techniques, goal programming and compromise programming, were used in a study of small-scale dairy farms in central Mexico. To build the goal and compromise programming models, 4 ordinary linear programming models were also developed, which had objective functions to maximize metabolizable energy for milk production, to maximize margin of income over feed costs, to maximize metabolizable protein for milk production, and to minimize purchased feedstuffs. Neither multicriteria approach was significantly better than the other; however, by applying both models it was possible to perform a more comprehensive analysis of these small-scale dairy systems. The multi-criteria programming models affirm findings from previous work and suggest that a forage strategy based on alfalfa, rye-grass, and corn silage would meet nutrient requirements of the herd. Both models suggested that there is an economic advantage in rescheduling the calving season to the second and third calendar quarters to better synchronize higher demand for nutrients with the period of high forage availability.

Analysis of feeding strategies for small-scale dairy systems in central Mexico using linear programming

A limitation of small-scale dairy systems in central Mexico is that traditional feeding strategies are less effective when nutrient availability varies through the year. In the present work, a linear programming (LP) model that maximizes income over feed cost was developed, and used to evaluate two strategies: the traditional one used by the small-scale dairy producers in Michoacan State, based on fresh lucerne, maize grain and maize straw; and an alternative strategy proposed by the LIP model, based on ryegrass hay, maize silage and maize grain. Biological and economic efficiency for both strategies were evaluated. Results obtained with the traditional strategy agree with previously published work. The alternative strategy did not improve upon the performance of the traditional strategy because of low metabolizable protein content of the maize silage considered by the model. However, the Study recommends improvement of forage quality to increase the efficiency of small-scale dairy systems, rather than looking for concentrate supplementation.