Course instructor: professor professor Number of hours/week/Evaluation/Credits Course Seminar Laboratory Project Evaluation Credits 2 0 2 0 E 9

estonianmelonΤεχνίτη Νοημοσύνη και Ρομποτική

24 Οκτ 2013 (πριν από 3 χρόνια και 9 μήνες)

189 εμφανίσεις

„POLITEHNICA” UNIVERSITY OF

TIMIŞOARA



SYLLABUS

for the discipline:



ADVANCED ARTIFICIAL INTELLIGENCE





FACULTY
:
AUTOMATION AND COMPUTERS

DOMAIN /

SPECIALIZATION
:
COMPUTER ENGINEERING


Year of studies
: II (MASTE
R)

Semester:

1

Course instructor: professor

Marius Crişan, PhD

Applications instructor
:
professor

Marius Crişan, PhD

Number of hours/week/Evaluation/
Credits

Course

Seminar

Laboratory

Project

Evaluation

Credits

2

0

2

0

E

9



A. COURSE OBJEC
TIVES

The cour
se starts with a review of the theory and practice of the most advanced strategies in AI and how to
utilize the various techniques in knowledge
-
based systems. Then, the cognitive processes (perception, memory,
language and thought) are investigated. Finall
y, the main research approaches are presented that ma
y lead to
valid intelligent techniques

suitable for various applications. Upon completion of this course students will be
able to provide solutions for solving real human
-
like problems and develop their
own research approaches.


B. COURSE SUBJECTS


1. Computational approaches in mental function modeling.

4

2. Models of vision and aural perception.

4

3. Memory systems.

4

4. Natural language processing

4

5. Reasoning and thinking models.

4

6. Learning and d
evelopment.

4

7. Quantum model of brain.

4


Total

28


C. APPLICATIONS SUBJECTS

(laboratory, seminar, project)


1. Sensory system modeling based on self
-
organizing neural networks.

4

2. Models of perception and memory.

4

3. Complexity and information cont
ent analysis of cognitive systems.

4

4. Models of natural language understanding.

4

5. Approaches in Q & A systems.

4

6. Learning by simulating evolution.

4

7. Development of a mind/brain model based on quantum computing.

4


Total

28


D. REFERENCES

1.
S. Russell and P. Norvig. “Artificial Intelligence
-

A Modern Approach.” Prentice Hall, 2003.

2.
T. Malim: “Cognitive Processes”, Macmillan Press Ltd, 1994 (translated Ro. Ed. Tehnica 1999)

3.
Speech and Language Processing: An Introduction to Natural Lang
uage Processing, Computational
Linguistics, and Speech Recognition. By Daniel Jurafsky and James H. Martin. Prentice
-
Hall,
2000.


E. EVALUATION PROCED
URE

There will be a final examination from

lecture notes weighting 60% of the final grade
.
The lab assignm
ents


weight 40% of the final grade
.



F. INTERNATIONAL COMPATIBILITY
Se pastreaza indicatiile din modelul in lb. romana

1. University

of Houston: Advanced Artificial Intelligence


2.

New York University: Advanced Artificial Intelligence


3.
University

of Adelaide
:
Advanced Artificial Intelligence


Date: 20.03.2008



HEAD OF DEPARTMENT


COURSE INSTRUCTOR,



Prof. Dr. ing
. Vladimir CREŢU



Prof.dr.ing. Marius Crisan