NUST eLearning

This course aims at equipping students with an advanced understanding of urban ecology and the ability to successfully integrate this into urban and architectural projects ensuring a balanced and sustainable interaction between human land use and natural ecosystems.

The aim of this course is to introduce students to various historical periods and styles of architecture through exemplary buildings and landscapes with special focus on context; critical thinking and analysis; stimulating students’ interest in architecture and the possibilities of design.
Additionally, the course encourages the perception of architecture and design as a response to the social, natural and built environment context, while allowing students to make informed and contextually sensitive design decisions.here...

Learning Outcomes

Upon successful completion of the course, the student should be able to:

• Use Artificial Intelligence (AI) techniques to map problem domains into suitable models for effective and efficient processing;
• Evaluate the efficiency and applicability of different AI concepts, models, and algorithms in a specific problem domain;
• Implement AI algorithms.

Course Content

Search Algorithms

• Search, Beyond classical search and Adversarial search
• Constraint Satisfaction and Optimisation

Knowledge, Reasoning and Planning

• Knowledge Representation and Inference
• Classical Planning
• Markov Decision Processes

Machine Learning

• Reinforcement Learning
• Deep Learning