Intelligent Interactive Systems - 096235
Will be learned this year
Determination of the grade according to progress during the semester and the submission of the final thesis
||Foundations and Applications of Artificial Intelligence||
||Natural Language Processing||
||Introduction to Artificial Intelligence||
The Course Will Cover Theories and Methods from Artificial Intelligence and Human-Computer Interaction Which Form the Basis for Intelligent Systems. It Will Review Examples of Intelligent Systems in Different Areas Such as Creativity and Health Care. It Will Review Algorithms and Design Principles and Methods for Evaluating Intelligent User Interfaces. Lertning Outcomes: at the End of the Course the Student Will Be Able to:
1. Understand and Apply a Range of Artificial Intelligence Representations and Algorithms Such as Markov Decision Processes, Networks, Optimization and Natural Language Processing.
2. Understand the Challenges in the Design of Intelligent Systems That Integrate Artificial Intelligence Algorithms to Support People, and in Particular the Challenges in Designing Interfaces That Combine System Autonomy.
3. Design Experiments to Evaluate the Effectiveness and Usability of Intelligent Interactive Systems.
4. Analyze Real-World Problems and Formally Define Computational Problems That Address Parts of These Problems.
Timetable to semester 02/2020
2020/2021 Spring Semester
| || ||14:30-16:30||Sunday||Doctor Amir Ofra||Lecture||10||11|
| || || || || ||Project||11|
| || ||16:30-17:30||Sunday||Mr. Tuisov Alexander||Exercise||11|
Created in 08/03/2021 Time 15:04:08