Lecture

Scientific Programming for Engineers: Introduction to GIT

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In course

MATH-611: Scientific programming for Engineers

The students will acquire a solid knowledge on the processes necessary to design, write and use scientific software. Software design techniques will be used to program a multi-usage particles code, aiming at providing the link between algorithmic/complexit ...

Description

This lecture introduces the basics of scientific programming for engineers, focusing on the use of GIT for collaborative work. Topics covered include the importance of data interpretation, challenges in scientific software development, and the engineering production cycles. The instructor emphasizes the significance of automation in programming tasks and provides insights into the process of designing, implementing, and analyzing scientific software. Students will gain practical knowledge in using C/C++, Python, and various libraries for scientific computing. The lecture also includes hands-on exercises and guidance on version control systems like GIT.

Instructor

Guillaume Anciaux

ResearchResearch Topics My research can be decomposed in three main blocks:First, the main goal of my current research is the physical description of contact interactions. I performed numerous studies of this topic using different models from the continuum scale down to atomistic scale. Since atomic phenomena and macroscopic observations are linked, the physics of contact needs the simultaneous consideration of several scales. For instance, plasticity is a theory defined for the macroscopic scale whereas t

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Related concepts (31)

Distributed version control

In software development, distributed version control (also known as distributed revision control) is a form of version control in which the complete codebase, including its full history, is mirrored on every developer's computer. Compared to centralized version control, this enables automatic management branching and merging, speeds up most operations (except pushing and pulling), improves the ability to work offline, and does not rely on a single location for backups.

Comparison of version-control software

In software development, version control is a class of systems responsible for managing changes to computer programs or other collections of information such that revisions have a logical and consistent organization. The following tables include general and technical information on notable version control and software configuration management (SCM) software. For SCM software not suitable for source code, see Comparison of open-source configuration management software.

Concurrent Versions System

Concurrent Versions System (CVS, also known as the Concurrent Versioning System) is a revision control system originally developed by Dick Grune in July 1986. CVS operates as a front end to RCS, an earlier system which operates on single files. It expands upon RCS by adding support for repository-level change tracking, and a client-server model. Released under the terms of the GNU General Public License, CVS is free software. CVS operates as a front end to Revision Control System (RCS), an older version control system that manages individual files but not whole projects.

Software development

Software development is the process of conceiving, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components. Software development involves writing and maintaining the source code, but in a broader sense, it includes all processes from the conception of the desired software through the final manifestation, typically in a planned and structured process often overlapping with software engineering.

Software development process

In software engineering, a software development process is a process of planning and managing software development. It typically involves dividing software development work into smaller, parallel, or sequential steps or sub-processes to improve design and/or product management. It is also known as a software development life cycle (SDLC). The methodology may include the pre-definition of specific deliverables and artifacts that are created and completed by a project team to develop or maintain an application.

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