Course Information

Course Name	Turkish	İleri Yapay Zeka
	English	Advanced Artificial Intell.
Course Code	BLG 521E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Behçet Uğur Töreyin
Course Objectives		-
Course Description		Artificial Intelligence BLG 521E Spring - 2018 • Grading Policy: 30% HWs, 30% Project, 30% Final, Class Participation • Lectures on Wednesdays (morning and afternoon sessions) in every two weeks. • Required Background: Probability and Stochastic Processes (BBL 501, KOM 505E, or similar grad. level course). • Recommended to take a convex optimization course. Feb 14 Organizational issues. Course outline. Agents. Feb 28 Search Algorithms and Heuristics Mar 14 Uncertainty - Probability Mar 28 Optimization Apr 11 Machine Learning Concepts, Learning from Observations Apr 25 SVM, Neural Networks May 09 Deep Learning Paradigm May 23 Project Presentations
Course Outcomes		-
Pre-requisite(s)		-
Required Facilities		-
Other		-
Textbook		http://aima.cs.berkeley.edu/
Other References		https://iq.mit.edu/ http://web.cecs.pdx.edu/~mperkows/CLASS_479/2017_ZZ_00/02__GOOD_Russel=Norvig=Artificial%20Intelligence%20A%20Modern%20Approach%20(3rd%20Edition).pdf http://web.eecs.umich.edu/~dmitryb/courses/fall15ai/ https://people.eecs.berkeley.edu/~russell/classes/cs188/s04/ http://aima.eecs.berkeley.edu/slides-ppt/ https://github.com/aimacode https://www.stat.berkeley.edu/~bartlett/courses/2014spring-cs281bstat241b/ https://web.stanford.edu/~hastie/Papers/ESLII.pdf http://www-bcf.usc.edu/~gareth/ISL/ https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/ https://www.alsharif.info/iom530 http://www.deeplearningbook.org http://stat.wharton.upenn.edu/~skakade/courses/stat928/ http://www.utstat.utoronto.ca/~radford/sta414.S06/ https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-520-statistical-learning-theory-and-applications-spring-2006/lecture-notes/ https://web.stanford.edu/class/cs229t/syllabus.html https://people.eecs.berkeley.edu/~wainwrig/stat241b/ https://bcourses.berkeley.edu/courses/1409209/assignments/syllabus http://www.inference.org.uk/mackay/itila/book.html

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