Basic Information
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.
Faculty: Data and Decision Sciences
|Undergraduate Studies
|Graduate Studies
Pre-required courses
96210 - Foundations and Applications of Artifici or 97215 - Methods in Natural Language Processing or 236501 - Introduction to Artificial Intelligence
Semestrial Information
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Project Hours
Responsible(s)
Ofra Amir
Notes
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הרישום לקורס סגור. לא יתאפשר רישום ידני. נא לא לשלוח הודעות פרטניות למרצה.
Registration Groups
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Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Project Hours
Responsible(s)
Ofra Amir
Registration Groups
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|
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Project Hours
Responsible(s)
Ofra Amir
Registration Groups
|
|