Teaching of Programming (TP)

Table of content

Programming in Practice
How to cite the software and associated documentation files
How to follow up?
See also

Programming in Practice

Key words

software engineering, software design, education, training, code examples, csharp, csharp-examples, data-intensive-programming, data management, information processing, data processing, adaptive-programming, dependency injection, inversion of control, distributed programming.

Releases

Release	Name	Milestone	DOI
4.0	Distributed Programming 2020-10-05	Distributed Programming	DOI: 10.5281/zenodo.4066609
3.0	ExDM VideoBook Helion v1.0.	C# in Practice - External Data-Intensive Programming v1.0.	DOI: 10.5281/zenodo.2578245
2.0	Adaptive Programming (AP) February 2019	Adaptive Programming	NA

DOI: Digital Object Identifiers (DOI) are the backbone of the academic reference and metrics system. It is aimed at researchers who want to cite GitHub repositories in academic literature. Use the DOI System to resolve a DOI name.

Goal

Turning today’s students into tomorrow’s advanced software developers and architects.

Content

Executive Summary

Main purpose of this repository is to provide code examples for education purpose. The code examples address the following application domains

External Data-Intensive Programming (ExDM) : process data management, i.e. those that are input or output for the business logic of the program.
Adaptive Programming (AP): language constructs, patterns, and frameworks used at the development and deployment stage with the goal to increase the adaptability of the software.
Distributed Programming (DP): All about developing interoperable applications interconnected over the network.

The repository collects examples that can serve as a pattern with the broadest possible applicability addressing the applications in concern. All topics are illustrated using the C# language and the MS Visual Studio design environment to ensure the practical context and provide solid examples. The source code is available in this repository. Hopefully, the samples are easily portable to other development environments.

External Data-Intensive Programming (ExDM)

Computer science in general, and especially programming activities, is a field of knowledge that deals with automation of information processing. Programs can be recognized as a driving force of that automated behavior. To achieve information processing goals programs have to implement algorithms required by the application concerned. In other words, the programs describe how to process data, which represent information relevant to the application. Data management - apart from the implementation of the algorithms – is, therefore, a key issue from the point of view of automation of the entire information processing and computer science in general.

The ExDataManagement folder collects examples that can serve as a certain pattern with the broadest possible applicability addressing the mentioned above application domain.

Note: to open the code samples in the Visual studio double click the file ExDataManagement.sln.

Adaptive Programming (AP)

The adaptive programming is presented as a catalog of language constructs, patterns, and frameworks used at the development and deployment stage with the goal to increase the adaptability of the program against changing production environment in which it is executed.

The AdaptiveProgramming folder collects examples that can serve as a certain pattern with the broadest possible applicability addressing the mentioned above application domain.

Note: to open the code samples in the Visual studio double click the file AdaptiveProgramming.sln.

Distributed Programming (DP)

Information and Communication Technology has provided society with a vast diversity of distributed applications. By design, the deployment of this kind of application has to focus primarily on communication. Examples collected in this repository addresses the systematic approach to the designing of the meaningful Machine to Machine (M2M) communication targeting distributed mobile applications in the context of new emerging disciplines, namely Industry 4.0 and Internet of Things (IoT) atop of the M2M communication and composed as multi-vendor cyber-physicals systems.

The DistributedProgramming folder collects examples that can serve as a certain pattern with the broadest possible applicability addressing the applications in concern.

Note: to open the code samples in the Visual studio double click the file DistributedProgramming.sln.

How to cite the software and associated documentation files

To be compliant with the license of the repository the below copyright notice shall be included in all copies or substantial portions of the software and associated documentation files (the “Software”).

In this section, you will learn how to cite the “Software” using the DOI number. A DOI number is a unique identifying number for the Software version. Because this repository has a DOI, use the DOI in your citation for the article or any derived work, like this:

Mariusz Postol, csharp (C#) in Practice: [Target Part Name], https://github.com/mpostol/TP, [year] DOI: 10.5281/zenodo.2578244

Mariusz Postol, csharp (C#) in Practice: [Target Part Name], https://github.com/mpostol/TP, [year] DOI: http://doi.org/10.5281/zenodo.2578244.

Replace year with the current year and Target Part Name with the name (or names) of the files you are referring to.

How to follow up?

GitHub offers Discussions as a space to connect with other members of the community. I hope that using the Discussion space you:

ask questions you’re wondering about
share ideas
engage with other community members
welcome others and are open-minded; remember that this is a community we build together

I have activated the Discussion space for this repository. Follow the Discussion to be in touch.

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