Short Overview
The program is aimed at those who want to understand the fundamentals principles of programming in a MATLAB/OCTAVE environment, exploiting it potential in solving problems from different research areas. No prior knowledge of programming is required. In order to consolidate the material but also to demonstrate the capabilities of the software, the trainees will be asked to implement computational exercises related to their interests. Case studies from the field of applied mathematics, data analysis, image and sound processing, machine learning, finance, and simulation are given as examples.
Learning Goals
Upon successful completion of this e-learning course, trainees will feel familiar with the MATLAB/OCTAVE environment and will have the ability to use the capabilities offered by the software to solve any scientific problems they are asked to solve through it. In particular, they will be able to program in the specific language, use its functions effectively to analyze large volumes of data, and make graphical representations and animations.
Program Value
Learning the programming principles of MATLAB language through solving problems from different research areas. Learners have the opportunity to implement computational exercises related to their interests.
Special Technical Requirements
The program uses the eLearning educational method: learning takes place purely asynchronously (that is, on days and hours that serve the trainee, without mandatory attendance at a specific time or day), exclusively remotely (using a special educational platform via the internet from the trainee's area) and using digital educational tools such as video lectures, interactive self-assessment exercises, and other elearning tools that ensure effective and flexible individual self-learning. The program's training material becomes available at specific time periods, based on the training path followed, and then remains available on the training platform without restrictions throughout the duration of the program.
Evaluation Method And Final Grade Computation
The evaluation is based on weekly exercises or assignments and a final paper, in which the learner will submit an extensive paper using MATLAB software. Successful completion of the program and conferral of the training certificate requires a final grade of at least 50%.