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-Introduction
-============
-
-Engineering students use computers for a large number of curricular
-tasks – mostly computation centred. However, they do not see this as
-coding or programming tasks and usually are not even aware of the
-tools and techniques that will help them to handle these tasks
-better. This results in less than optimal use of their time and
-resources. This also causes difficulties when it comes to
-collaboration and building on other people's work. This course is
-intended to train such students in good software practices and tools
-for producing code and documentation.
-
-After successfully completing the program, the participants will be
-able to:
-
-- understand how software tools work together and how they can be used
- in tandem to carry out tasks,
-
-- use unix command line tools to carry out common (mostly text
- processing tasks,
-
-- to generate professional documents,
-
-- use version control effectively – for both code and documents,
-
-- automate tasks by writing shell scripts and python scripts,
-
-- realise the impact of coding style and readbility on quality,
-
-- write mid-sized programs that carry out typical engineering /
- numerical computations such as those that involve (basic)
- manipulation of large arrays in an efficient manner,
-
-- generate 2D and simple 3D plots,
-
-- debug programs using a standardized approach,
-
-- understand the importance of tests and the philosophy of Test Driven
- Development,
-
-- write unit tests and improve the quality of code.
-
-
-Prerequisites
--------------
-
-The students should possess possess good computer usage skills. Some
-programming knowledge will be helpful, but is not mandatory.
-
-- Good computer usage skills is typically using computers for
- preparing documents, sending email etc.
-
-- Some programming knowledge is basic understanding of coding such as
- operators, assignments, conditionals, loops and functions.
-
-Outline
--------
-
-The course will consist of the following modules.
-
-#. Using Linux Tools
-#. Version control systems
-#. Basic Python
-#. Advanced Python
-#. Test Driven Development