This schedule is subject to changes; please check every week.
Date	Topic covered	Assignments
27-Aug	Introduction to information	Syllabus, discussion of class
	Class details	Wikipedia article on "Informatics"
	Exercise 0	Wikipedia article on "Information Science"
		Wikipedia article on "Information Systems"
		Wikipedia article on "Information"
		Wikipedia article on "Moore's Law"
		Wikipedia article on "Informetrics"
		"How Much Information," http://www2.sims.berkeley.edu/research/projects/how-much-info-2003/execsum.htm#summary
		Wikipedia article on "Plagiarism"
3-Sep	No class - Labor Day
10-Sep	Complexity, complex systems, computational	Wikipedia article on "Complexity"
	complexity and scalability	Wikipedia article on "Complex Systems"
	Exercise 0 due	Wikipedia article on "Computational Complexity"
	Exercise 1	Wikipedia article on "Scalability"
		Wikipedia article on "Science"
		Wikipedia article on "Computation Informatics"
		Wikipedia article on "Theory"
		Wikipedia article on "Technology"
		Wikipedia article on "Scientific Method"
		David Weinberger video "on what information was", http://vimeo.com/11739281
17-Sep	Artifical intelligence and informatics	Wikipedia article on "Artificial Intelligence"
		Wikipedia article on "Agent"
		Wikipedia article on "Intelligent Agent"
		Wikipedia article on "Bot"
		Wikipedia article on "Chatterbot"
		Wikipedia article on "Robotics"
		Wikipedia article on "Turing Test"
		Wikipedia article on "Strong AI"
		Wikipedia article on "Technological Singularity"
24-Sep	Networks and social networks	http://en.wikipedia.org/wiki/Complex_network
	Exercise 1 due	http://en.wikipedia.org/wiki/Graph_(mathematics)
		http://en.wikipedia.org/wiki/Social_network
		http://en.wikipedia.org/wiki/Social_networking
		Chs 1-11, http://www.faculty.ucr.edu/~hanneman/nettext/
1-Oct	Text and information retrieval	http://en.wikipedia.org/wiki/Plain_text
	Exercise 2	http://nlp.stanford.edu/IR-book/html/htmledition/determining-the-vocabulary-of-terms-1.html
		http://en.wikipedia.org/wiki/Information_retrieval
		http://en.wikipedia.org/wiki/Zipf's_Law
		http://en.wikipedia.org/wiki/Inverted_index
8-Oct	Link analysis, web graphs and crawling, search	http://nlp.stanford.edu/IR-book/: Read Ch 19.1 to 19.5, Ch 21
		http://en.wikipedia.org/wiki/Web_crawler
		http://en.wikipedia.org/wiki/Search_engine
		http://en.wikipedia.org/wiki/Is_Google_Making_Us_Stupid
15-Oct	Introduction to machine learning	http://en.wikipedia.org/wiki/Machine_learning
	Brief research proposal presentations	http://en.wikipedia.org/wiki/Supervised_learning
	Exercise2 due	http://en.wikipedia.org/wiki/Unsupervised_learning
		http://en.wikipedia.org/wiki/Semi-supervised_learning
		http://en.wikipedia.org/wiki/Reinforcement_learning
		http://en.wikipedia.org/wiki/Transduction_(machine_learning)
		http://aaai.org/AITopics/MachineLearning
22-Oct	Probabilistic reasoning, information theory, Bayes rule	http://en.wikipedia.org/wiki/Bayesian_inference
	Exercise 3	http://en.wikipedia.org/wiki/Bayesian_probability
		http://en.wikipedia.org/wiki/Decision_tree
		http://en.wikipedia.org/wiki/Influence_diagram
		http://en.wikipedia.org/wiki/Information_theory
29-Oct	Information extraction, data mining, metadata	http://en.wikipedia.org/wiki/Information_extraction
		http://en.wikipedia.org/wiki/Data_mining
		http://en.wikipedia.org/wiki/Metadata
5-Nov	Digital libraries, scientometrics, bibliometrics	http://en.wikipedia.org/wiki/Digital_library
	Exercise 3 due	http://en.wikipedia.org/wiki/Informetrics
		http://en.wikipedia.org/wiki/Scientometrics
		http://en.wikipedia.org/wiki/Bibliometrics
		http://en.wikipedia.org/wiki/Citation_analysis
		http://en.wikipedia.org/wiki/Digital_humanities
		http://en.wikipedia.org/wiki/Metacalfe's_law
12-Nov	Qualitative vs quantitative vs computational research	http://en.wikipedia.org/wiki/Qualitative_research
	Digital humanities	http://en.wikipedia.org/wiki/Quantitative_research
	Read Part of the Companion to the Digital Humanities	http://en.wikipedia.org/wiki/Digital_humanities
	Exericise 4	Read Part 1: http://www.digitalhumanities.org/companion/
19-Nov	No Class - Thanksgiving
26-Nov	Research Presentations
	Discussions and material presentations
3-Dec	Research Presentations - order
	Alan Nochenson
	Siqiong He
	Mingyi Zhao
	Aditya Sridhara
	Chong Zhou
	Kyle Williams
	Gaoyao Xiao
	Nicholas Johnson
	John Hodgson
	Tristan Endsley
	Wu Yu
	Daniel Guzek
10-Dec	Research Presentations - order
	Tamara Peyton
	Chen Zhong
	Matthew Lesniewski
	Nan Yu
	Yinan Wan
	Neelam Dwivedi
	Lannan Lou
	Elizabeth Eikey
	Dong Chen
	Baris Kandemir
	Mark Campbell
	Exercise 4 due
17-Dec	Research paper due