Week |
Subject |
Related Preparation |
1) |
A Review of AI Concepts Rational Agents |
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2) |
Solving Problems by searching - Search algorithms (Uninformed and Informed) |
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3) |
Solving Problems by searching - Constraint Satisfaction Problems |
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4) |
Games - Adversarial Search, Game theory |
Assignment #1 |
5) |
Logical agents - Propositional logic, First Order Logic and inference |
|
6) |
Planning |
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7) |
Probabilistic Reasoning - Basic probability concepts, Bayesian inference |
Assignment #2 |
8) |
Probabilistic Reasoning - Naive Bayes models, Bayesian networks |
|
9) |
Machine Learning - Supervised vs. unsupervised learning, Decision trees, Nearest neighbor classifiers, Support Vector Machines |
Midterm Exam |
10) |
Neural Networks |
Assignment #3 |
11) |
Deep Learning - Convolutional Neural Networks |
|
12) |
Deep Learning |
Assignment #4 |
13) |
Reinforcement Learning - Markov decision processes, Q-learning |
|
14) |
AI, Ethics and Society |
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Course Notes / Textbooks: |
Stuart Russell, Peter Norvig, “Artificial Intelligence: A Modern Approach” (3rd Edition), Prentice Hall, ISBN-10: 0-13-604259-7, 2010.
Selected papers (an additional listing of literature will be provided based on the students’ projects) |
References: |
Stuart Russell, Peter Norvig, “Artificial Intelligence: A Modern Approach” (3rd Edition), Prentice Hall, ISBN-10: 0-13-604259-7, 2010.
Selected papers (an additional listing of literature will be provided based on the students’ projects) |
|
Program Outcomes |
Level of Contribution |
1) |
Have sufficient background in mathematics, science and artificial intelligence engineering. |
5 |
2) |
Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. |
5 |
3) |
Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. |
5 |
4) |
Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. |
5 |
5) |
Select and use modern techniques and tools necessary for engineering applications. |
5 |
6) |
Design and conduct experiments, collect data, and analyse and interpret results. |
5 |
7) |
Work effectively both as an individual and as a multi-disciplinary team member. |
|
8) |
Access information via conducting literature research, using databases and other resources |
|
9) |
Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. |
|
10) |
Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. |
|
11) |
Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. |
|
12) |
Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. |
|
13) |
Have a sense of professional and ethical responsibility. |
|
14) |
Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |
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