{"id":6437,"date":"2022-11-01T10:33:51","date_gmt":"2022-11-01T07:33:51","guid":{"rendered":"http:\/\/engineering.tiu.edu.iq\/computer\/?p=6437"},"modified":"2022-11-02T15:34:37","modified_gmt":"2022-11-02T12:34:37","slug":"training-on-advanced-matlab-programming","status":"publish","type":"post","link":"https:\/\/engineering.tiu.edu.iq\/computer\/training-on-advanced-matlab-programming\/","title":{"rendered":"Training on Advanced MATLAB Programming"},"content":{"rendered":"

The department of Computer Engineering will be organizing a training on the topic entitled \u201cTraining on Advanced MATLAB Programming<\/strong>\u201d by Dr. Abubakar M. Ashir, which will take place between dates 13\/11\/2022 – 09\/04\/2023 at 03:00 PM in Main Building Lab 241<\/strong>.<\/p>\n

Introduction<\/strong>: MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models. for a long period of time, MATLAB programming has become a darling programming language for engineers, scientists, and researchers in and around most of the educational institutions due to its simplicity and relative ease to use. To professional software engineers and programmers, MATLAB was often viewed as weaker and lagging behind most of the leading programming languages due to concerns ranging from generality, interoperability, and efficiency. While most of the weakness associated with MATLAB had been fairly true at the beginning, the current MATLAB language has come of age and become a very powerful and formidable language that can effectively compete with other languages and provides new exciting content that enable the development of different types of applications that were once thought to have been only possible to be developed by the conventional programming languages like C, C++, et.al. The training takes you on a journey to explore some of the most promising and exciting developments and applications of MATLAB in the modern computational world.<\/p>\n

Topics to be covered<\/strong><\/p>\n

    \n
  1. Modern MATLAB: History, Evolution, and application in the scientific and engineering field<\/li>\n
  2. MATLAB and Simulink online, Live scripts and Functions<\/li>\n
  3. Introduction to MATLAB Apps, Interoperability, and code conversion with other languages (C, C++):<\/li>\n
  4. Apps creation with MATLAB for standalone and web applications<\/li>\n
  5. MATLAB support packages for Arduino-based applications.<\/li>\n
  6. SIMULINK support packages for Arduino-based applications.<\/li>\n
  7. MATLAB support packages for Raspberry-based applications.<\/li>\n
  8. MATLAB support packages for android applications.<\/li>\n
  9. Parallel Computing with MATLAB and Simulink<\/li>\n
  10. Deep Learning with MATLAB<\/li>\n<\/ol>\n

    Important:<\/strong><\/p>\n

    Below are some of the things that can be accomplished with MATLAB.<\/p>\n