Chapters 1, 2, 3, 4, 5, 6, 7, 8, 9, and 11 of the textbook Artificial Intelligence A Modern Approach by Stuart Russell and Peter Norvig are taught, as well as hand written material for programming in Prolog and ontologies. More Specifically, the course syllabus includes the following:
• Introduction to Artificial Intelligence
• Intelligent Agens
• Problem solving with search
• Informed Search
• Constraint Satisfaction Problems
• Problem solving with adversity
• Logic-based agents
• Propositional Logic
• First order Logic
• Inference in First Order Logic
• Knowledge representation, ontologies, and Prolog programming
• AI planning
Learning Ootcomes:
General understanding of the field of AI, the topics it addresses, techniques of symbolic Artificial Intelligence based on mathematical logic and search.
Understanding of the basic algorithmic techniques in problem theory solving, search, algorithms for games, knowledge representation, and automatic inferences for mathematical logic.
Understanding of the possible applications of the techniques and algorithms of symbolic artificial intelligence
Student Performance Evaluation:
Specific details on grading can be found on the course’ s website
The courses of the Computer Science Department are designated with the letters "CS" followed by three decimal digits. The first digit denotes the year of study during which students are expected to enroll in the course.
First Digit
Advised Year of Enrollment
1,2,3,4
First, Second, Third and Fourth year
5,6
Graduate courses
7,8,9
Specialized topics
Code
Computer Science Area
A1
Computer architecture and microelectronics
A2
Computer systems, parallel and high performance computing
A3
Computer security and distributed systems
A4
Computer networks, mobile computing, and telecommunications
B1
Algorithms and systems analysis
B2
Databases, information and knowledge management
B3
Software engineering and programming languages
B4
Artificial Intelligence and machine learning
C1
Signal processing and analysis
C2
Computer vision and robotics
C3
Computer graphics and human-computer interaction
C4
Βioinformatics, medical informatics, and computational neuroscience
The following pages contain tables (one for each course category) summarizing courses offered by the undergraduate studies program of the Computer Science Department at the University of Crete. Courses with code-names beginning with "MATH" or "PHYS" are taught by the Mathematics Department and Physics Department respectively at the University of Crete.