Academic year: 2021 - 2022

Professor Gabriel Oltean, PhD.

ELEMENTS OF ARTIFICIAL INTELLIGENCE

FIRST YEAR, MASTER CSI / TSAeA / PSI

ECTS: 4 credits

Classes/week: 2h Lecture; 1h Lab

Course code: 4.00/1.00/1.00


    Info

    General objective
Understanding the necessity and ways of implementing and using some artificial intelligence techniques ( machine learning, artificial neural networks – ANN, deep neural network - DNN, convolutional neural network – CNN, etc. ).

    Specific objectives
» Understanding the fundamental concepts of computational intelligence/deep learning, supervised and unsupervised learning, machine learning.
» Acquiring the skills required to use ANN for function fitting, pattern recognition, prediction.
» Acquiring the skills required to use CNN for computer vision applications(image classification, object detection, pattern recognition, etc.)
» Acquiring the skills required to design and implement systems based on computational intelligence/deep learning techniques.

      Course Syllabus