|
Academic staff member responsible for the design of the course syllabus
(name, surname, academic title/scientific degree, email address and signature)
|
NA
|
|
Main Course Lecturer (name, surname, academic title/scientific degree, email address
and signature) and Office Hours:
|
Dr. Igli Hakrama ihakrama@epoka.edu.al
|
|
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email
address and signature) and Office Hours:
|
NA
|
| Teaching Assistant(s) and Office Hours: |
NA
|
| Language: |
English
|
| Compulsory/Elective: |
Elective
|
| Study program: (the study for which this course is offered) |
Master of Science in Computer Engineering (2 years)
|
| Classroom and Meeting Time: |
|
| Code of Ethics: |
Code of Ethics of EPOKA University
Regulation of EPOKA University "On Student Discipline"
|
| Attendance Requirement: |
N/A
|
| Course Description: |
Understanding the foundations of Artificial Intelligence, including: Representing intelligent behavior in terms of agent, Searching a space of answers for a solution to a problem in practical time, Representing problems in terms of logic and deduction, Automated creation of complex plans in complex and unknown environments, Logical representations of uncertainty, and rational decision making in uncertain environments, Automated creation of new knowledge from examples and previous knowledge.
|
| Course Objectives: |
The main objective of the course is to handle the up to date theoretical and practical aspect of Artificial Intelligence. Students are intended to take a deep overlook over the latest AI techniques, with a special direction over the computational agents and multi-agent systems.
At the same time, the course considers also the topic of reliability and interpretability of different AI systems.
|
|
BASIC CONCEPTS OF THE COURSE
|
| 1 |
Agent Concept
|
| 2 |
Search Space Algorithms
|
| 3 |
Problem Representation
|
| 4 |
Uncertainty
|
| 5 |
Rational Decision Making
|
| 6 |
Learning Algorithms (Supervised, Unsupervised, Reinforcement)
|
| 7 |
Distributed Artificial Intelligence
|
| 8 |
Multi-Agent Systems
|
| 9 |
Reliability, Interpretability and Security in AI Systems
|
| Week |
Topics |
| 1 |
Introduction |
| 2 |
Intelligent Agent |
| 3 |
Problem Solving in AI |
| 4 |
Search Space |
| 5 |
Knowledge Representation and Reasoning |
| 6 |
Uncertainty and Planning |
| 7 |
Special Topics in Reinforcement Learning |
| 8 |
Special Topics in Deep Learning |
| 9 |
Special Topics in Distributed AI and ABMs |
| 10 |
Special Topics in MAS with JaCaMo |
| 11 |
Special Topics in Reliable and Secure AI Systems I |
| 12 |
Special Topics in Reliable and Secure AI Systems II |
| 13 |
Research Presentations and Discussions |
| 14 |
Research Presentations and Discussions II |
| No |
Program Competencies |
Cont. |
| Master of Science in Computer Engineering (2 years) Program |
| 1 |
Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice. |
5 |
| 2 |
Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations |
5 |
| 3 |
Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects. |
5 |
| 4 |
Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies. |
5 |
| 5 |
Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions. |
5 |
| 6 |
Ability of identifying the potential resources for information or knowledge regarding a given engineering issue. |
5 |
| 7 |
The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence. |
5 |
| 8 |
Ability for effective oral and official communication skills in foreign language. |
3 |
| 9 |
Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology. |
5 |
| 10 |
Engineering graduates with well-structured responsibilities in profession and ethics. |
5 |
| 11 |
Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues. |
5 |
| 12 |
Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity. |
5 |
