# CS 276: Information Retrieval and Web Search

https://stanford.edu/class/cs276/course_schedule.html

[ ![](http://nlp.stanford.edu/sentiment/images/nlp-logo.gif) ](http://nlp.stanford.edu/) # [CS 276 / LING 286: Information Retrieval and Web Search ](https://web.stanford.edu/class/cs276/index.html)
## Course schedule
Lectures take place on Tuesdays and Thursdays from 4:30 to 5:50pm in [NVIDIA Auditorium](https://campus-map.stanford.edu/?srch=NVIDIA+Auditorium), located in the basement of the Jen-Hsun Huang Engineering Center on campus. Lecture videos are recorded by SCPD and available to all enrolled students [here](https://mvideox.stanford.edu/Course/904).  
  
Students are also expected to become familiar with the course material presented in a series of video lectures that are hosted on Coursera. Access the **Coursera videos** [here](https://www.coursera.org/learn/cs276/home) (be sure to log in with your Stanford email account to get access).   
| Week  | Date  | Event  | Description & materials  | Readings & other resources  |  
| --- | --- | --- | --- | --- |  
| Week 1  | Tues. 4/4  | Lecture (Pandu)  |  **Introduction to the course**  
  
Coursera content: 
  * Slides: Introduction 

 | 
  * [IIR chapter 1](http://nlp.stanford.edu/IR-book/pdf/01bool.pdf)
  * MG section 3.2
  * MIR section 8.2
  * [Shakespeare plays](http://www.rhymezone.com/shakespeare/)

 |  
|   | Thurs. 4/6  | In-class lab (Chris)  |  **Merge algorithm for proximity queries using a positional index** ([starter code](https://github.com/manning/MergeAlgorithms))   
  
You will need the following Google doc during the in-class lab session: [Postings list intersection class session](https://docs.google.com/document/d/15xnoTUm3kyelIDqPTs4H2w_CYf4uaua5MeukFWx1rW8/edit)   
  
Coursera content: 
  * Videos: "Term Vocabulary and Postings Lists"
  * Slides: [PPT](https://web.stanford.edu/class/cs276/handouts/lecture2-dictionary.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture2-dictionary-handout-6-per.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture2-dictionary-handout-1-per.pdf)
  * Videos: "Index Construction"
  * Slides: [PPT](https://web.stanford.edu/class/cs276/handouts/lecture4-indexconstruction.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture4-indexconstruction-handout-6-per.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture4-indexconstruction-handout-1-per.pdf)
  * Videos: "Boolean Retrieval"
  * Slides: [PPT](https://web.stanford.edu/class/cs276/handouts/lecture1-intro.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture1-intro-handout-6-per.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture1-intro-handout-1-per.pdf)

 | 
  * [IIR chapter 2](http://nlp.stanford.edu/IR-book/pdf/02voc.pdf)
  * [IIR chapter 4](http://nlp.stanford.edu/IR-book/pdf/04const.pdf)
  * MG sections 3.6, 4.3
  * MIR section 7.2
  * [Porter's stemmer (MIR)](http://www.sims.berkeley.edu/~hearst/irbook/porter.html)
  * [Porter stemming algorithm (Official)](http://www.tartarus.org/~martin/PorterStemmer/)
  * [A skip list cookbook (Pugh 1990)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.524)
  * [Fast phrase querying with combined indexes (Williams, Zobel, Bahle 2004)](http://portal.acm.org/citation.cfm?id=1028102)
  * [Efficient phrase querying with an auxiliary index (Bahle, Williams, Zobel 2002)](http://portal.acm.org/citation.cfm?id=564415)

 |  
|   | Thurs. 4/6  | PA1 released  |  **[Programming assignment #1](https://web.stanford.edu/class/cs276/pa/pa1.pdf) released**  
 |   |  
| Week 2  | Tues. 4/11  | Lecture (Pandu)  |  **Spelling correction**  
  
In-class lecture notes: 
  * [PDF/6](https://web.stanford.edu/class/cs276/handouts/spell_correction-6up.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/spell_correction.pdf)

Coursera content: 
  * Videos: "Dictionaries and Tolerant Retrieval"
  * Slides: [PPT](https://web.stanford.edu/class/cs276/handouts/lecture3-tolerant-retrieval.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture3-tolerant-retrieval-handout-6-per.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture3-tolerant-retrieval-handout-1-per.pdf)

 | 
  * [IIR chapter 3](http://nlp.stanford.edu/IR-book/pdf/03dict.pdf)
  * MG section 4.2
  * [How to write a spelling corrector (Peter Norvig)](http://norvig.com/spell-correct.html)
  * [Techniques for automatically correcting words in text (Kukich 1992)](http://portal.acm.org/citation.cfm?id=146380)
  * [Finding approximate matches in large lexicons (Zobel and Dart 1995)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.9400)
  * [Efficient Generation and Ranking of Spelling Error Corrections (Tillenius)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.1392)

 |  
|   | Thurs. 4/13  | In-class lab (Chris)  |  **Algorithms for postings list compression** ([starter code](https://github.com/manning/CompressionAlgorithms)) ([Google doc with class results](https://docs.google.com/spreadsheets/d/1znmKYjuj4hIehTrotqvkT_HLHTH6WSEEZ0ActjX1xo0/edit#gid=0))   
  
Coursera content: 
  * Videos: "Index Compression"
  * Slides: [PPT](https://web.stanford.edu/class/cs276/handouts/lecture5-compression.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture5-compression-handout-6-per.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture5-compression-handout-1-per.pdf)

 | 
  * [IIR chapter 5](http://nlp.stanford.edu/IR-book/pdf/05comp.pdf)
  * MG sections 3.3-3.4
  * [Compression of inverted indexes for fast query evaluation (Scholer et al. 2002)](http://portal.acm.org/citation.cfm?id=564416)
  * [Inverted index compression using word-aligned binary codes (Anh and Moffat 2005)](http://www.springerlink.com/content/j66851228120170t/)
  * [Inverted index compression and query processing with optimized document ordering (Yan et al. 2009)](http://engineering.nyu.edu/~suel/papers/comp.pdf)

 |  
|   | Thurs. 4/13  | PS1 released  | **[Problem set #1](https://web.stanford.edu/class/cs276/ps/ps1.pdf) released**  | **[[PS1 solution]](https://web.stanford.edu/class/cs276/restricted/ps1-solution.pdf)**  |  
|   | Thurs. 4/13  | Query quiz released  | **[Query quiz](https://goo.gl/forms/vpUekPg6isLIpP8H3) released**  |   |  
| Week 3  | Tues. 4/18  | Lecture (Chris)  |  **Probabilistic IR: the binary independence model**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture11-probir.pptx) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture11-probir-6up.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture11-probir.pdf)

Coursera content: 
  * Videos: "Vector Space Model"
  * Slides: [PPT](https://web.stanford.edu/class/cs276/handouts/lecture6-tfidf.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture6-tfidf-handout-6-per.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture6-tfidf-handout-1-per.pdf)

 | 
  * [IIR chapter 6](http://nlp.stanford.edu/IR-book/pdf/06vect.pdf)
  * [IIR chapter 11](http://nlp.stanford.edu/IR-book/pdf/11prob.pdf)

 |  
|   | Thurs. 4/20  | Lecture (Chris)  |  **Computing scores and BM25F**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture12-bm25etc.pptx) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture12-bm25etc-6up.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture12-bm25etc.pdf)

Coursera content: 
  * Videos: "Computing Scores"
  * Slides: [PPT](https://web.stanford.edu/class/cs276/handouts/lecture7-vectorspace.pptx) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture7-vectorspace-6per.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture7-vectorspace-1per.pdf)

 | 
  * [IIR chapter 7](http://nlp.stanford.edu/IR-book/pdf/07system.pdf)
  * [IIR chapter 11](http://nlp.stanford.edu/IR-book/pdf/11prob.pdf)

 |  
|   | Thurs. 4/20  | PA1 due  | **Programming assignment #1 due**  |   |  
|   | Thurs. 4/20  | PA2 released  | **[Programming assignment #2](https://web.stanford.edu/class/cs276/pa/pa2.pdf) released**  |   |  
| Week 4  | Tues. 4/25  | Lecture (Pandu)  |  **Evaluation methods & NDCG**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture8-evaluation_2014.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture8-evaluation_2014-six-per-page.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture8-evaluation_2014-one-per-page.pdf)

Coursera content: 
  * Videos: "Result Summaries"
  * Slides: [PPT](https://web.stanford.edu/class/cs276/handouts/lecture8-evaluation.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture8-evaluation-handout-6-per.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture8-evaluation-handout-1-per.pdf)

 | 
  * [IIR chapter 8](http://nlp.stanford.edu/IR-book/pdf/08eval.pdf)
  * MG section 4.5
  * MIR chapter 3

 |  
|   | Thurs. 4/27  | Lecture (Pandu)  |  **Systems issues in efficient retrieval and scoring**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture10-efficient-scoring.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture10-efficient-scoring-six-per-page.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture10-efficient-scoring-one-per-page.pdf)

 | 
  * [IIR chapter 6](http://nlp.stanford.edu/IR-book/pdf/06vect.pdf)
  * [IIR chapter 7](http://nlp.stanford.edu/IR-book/pdf/07system.pdf)
  * [ Efficient Query Evaluation using a Two-Level Retrieval Process (Broder et al. 2003)](http://cis.poly.edu/westlab/papers/cntdstrb/p426-broder.pdf)

 |  
|   | Thurs. 4/27  | PS1 due  | **Problem set #1 due**  |   |  
|   | Thurs. 4/27  | Ranking quiz released  | **[Ranking quiz](https://web.stanford.edu/class/cs276/cgi-bin/queryrank/queryrank.php) released**  |   |  
| Week 5  | Tues. 5/2  | Guest lecture  |  **"Amazon Product Search: Search Relevance and Query Understanding"**  
_Guest lecture by Ravi Jammalamadaka and Erick Cantu-Paz (Engineering Managers, Amazon Search)_  
  
**NOTE: attendance required** for on-campus students  |   |  
|   | Thurs. 5/4  | Lecture (Chris)  |  **Text classification (Naive Bayes, kNN, decision boundaries)**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture12-textcat.pptx) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture12-textcat-6up.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture12-textcat.pdf)

Coursera content: 
  * Videos: "Naive Bayes"

 | 
  * [IIR chapter 13](http://nlp.stanford.edu/IR-book/pdf/13bayes.pdf)
  * [IIR chapter 14](http://nlp.stanford.edu/IR-book/pdf/14vcat.pdf)
  * [Reuters-21578](http://www.daviddlewis.com/resources/testcollections/reuters21578/)
  * [Machine learning in automated text categorization (Sebastiani 2002)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.6513)
  * [A re-examination of text categorization methods (Yang et al. 1999)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.9519)
  * [A Comparison of event models for naive Bayes text classification (McCallum et al. 1998)](http://citeseer.ist.psu.edu/mccallum98comparison.html)
  * [Tackling the poor assumptions of Naive Bayes classifier (Rennie et al. 2003)](http://www.stanford.edu/class/cs276/handouts/rennie.icml03.pdf)
  * [Machine learning in automated text categorization (Sebastiani 2002)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.6513)
  * [ A re-examination of text categorization methods (Yang et al. 1999)](http://citeseer.ist.psu.edu/yang99reexamination.html)
  * [Evaluating and optimizing autonomous text classification systems (Lewis 1995)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.867)
  * Tom Mitchell. _Machine Learning._ McGraw-Hill, 1997.
  * Trevor Hastie, Robert Tibshirani, Jerome Friedman. _Elements of Statistical Learning: Data Mining, Inference, and Prediction_. Springer-Verlag, New York, 2001.
  * Open Calais
  * Weka

 |  
|   | Thurs. 5/4  | PA2 due  | **Programming assignment #2 due**  |   |  
|   | Thurs. 5/4  | PA3 released  | **[Programming assignment #3](https://web.stanford.edu/class/cs276/pa/pa3.pdf) released**  |   |  
| Week 6  | Tues. 5/9  | Lecture (Chris)  |  **Text classification (Support vector machines)**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture13-SVMs.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture13-SVMs-6up.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture13-SVMs.pdf)

 | 
  * [IIR chapter 15](http://nlp.stanford.edu/IR-book/pdf/15svm.pdf)
  * [Reuters-21578](http://www.daviddlewis.com/resources/testcollections/reuters21578/)
  * [A tutorial on support vector machines for pattern recognition (Burges 1998)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.1083)
  * [Using SVMs for text categorization (Dumais 1998)](http://ezproxy.stanford.edu:2072/xpls/abs_all.jsp?isnumber=15361&arnumber=708428&count=14&index=5)
  * [Inductive learning algorithms and representations for text categorization (Dumais et al. 1998)](http://portal.acm.org/citation.cfm?id=288651)
  * [A Re-examination of text categorization methods (Yang et al. 1999)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.5594)
  * [Text categorization based on regularized linear classification methods (Zhang et al. 2001)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.5553)
  * [A loss function analysis for classification methods in text categorization (Li et al. 2003)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.2881)
  * Trevor Hastie, Robert Tibshirani, Jerome Friedman. _Elements of Statistical Learning: Data Mining, Inference, and Prediction_. Springer-Verlag,New York, 2001.
  * Thorsten Joachims. _Learning to Classify Text using Support Vector Machines_. Kluwer, 2002.

 |  
|   | Thurs. 5/11  | Lecture (Chris)  |  **Learning to rank**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture14-learning-ranking.pptx) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture14-learning-ranking-6up.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture14-learning-ranking.pdf)

 | 
  * [IIR sections 6.1.2-6.1.3](http://nlp.stanford.edu/IR-book/pdf/06vect.pdf)
  * [IIR section 15.4](http://nlp.stanford.edu/IR-book/pdf/15svm.pdf)
  * [LETOR benchmark datasets](http://research.microsoft.com/users/LETOR/)
  * [Discriminative models for information retrieval (Nallapati 2004)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.9065)
  * [Adapting ranking SVM to document retrieval (Cao et al. 2006)](http://portal.acm.org/citation.cfm?id=1148205)
  * [A support vector method for optimizing average precision (Yue et al. 2007)](http://portal.acm.org/citation.cfm?id=1277790)

 |  
|   | Thurs. 5/11  | PS2 released  | **[Problem set #2](https://web.stanford.edu/class/cs276/ps/ps2.pdf) released**  | **[[PS2 solution]](https://web.stanford.edu/class/cs276/restricted/ps2-solution.pdf)**  |  
| Week 7  | Tues. 5/16  | Lecture (Chris)  |  **Distributed word representations for IR**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture20-distributed-representations.pptx) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture20-distributed-representations-6up.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture20-distributed-representations.pdf)

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  * [ Distributed Representations of Words and Phrases and their Compositionality (Mikolov et al., 2013)](http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf)
  * [GloVe: Global Vectors for Word Representation (Pennington et al., 2014)](http://nlp.stanford.edu/pubs/glove.pdf)

 |  
|   | Thurs. 5/18  | Guest lecture  |  **Guest lecture by Jeff Dean (Google Senior Fellow)**  
  
**NOTE: attendance required** for on-campus students  |   |  
|   | Thurs. 5/18  | PA3 due  | **Programming assignment #3 due**  |   |  
|   | Thurs. 5/18  | PA4 released  | **[Programming assignment #4](https://web.stanford.edu/class/cs276/pa/pa4.pdf) released**  |   |  
| Week 8  | Tues. 5/23  | Lecture (Pandu)  |  **Link analysis**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture17-linkanalysis.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture17-linkanalysis-six-per-page.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture17-linkanalysis-one-per-page.pdf)

 | 
  * [IIR chapter 21](http://nlp.stanford.edu/IR-book/pdf/21link.pdf)
  * [Ranking the web frontier (Eiron et al. 2004)](http://portal.acm.org/citation.cfm?id=988714)
  * [The WebGraph framework I: Compression techniques (Boldi et al. 2004)](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.6417)
  * [Extrapolation methods for accelerating PageRank computations (Kamvar et al. 2003)](http://portal.acm.org/citation.cfm?id=775190)
  * [Searching the workplace web (Fagin et al. 2003](http://portal.acm.org/citation.cfm?id=775152.775204)

 |  
|   | Thurs. 5/25  | In-class lab (Pandu)  |  **MapReduce with Java** ([Hadoop setup instructions](https://docs.google.com/document/d/1i1Be9GDgS11cOD2JtlOUjTQT6Zenmr6UKB60D-mSaXs/edit)) ([starter code](https://web.stanford.edu/class/cs276/examples.tar.gz))   
  
In-class lecture notes: 
  * [PDF/1](https://web.stanford.edu/class/cs276/handouts/mapreduce-pact06-keynote.pdf)

 | 
  * [IIR section 4.4](http://nlp.stanford.edu/IR-book/pdf/04const.pdf)
  * [Jeff Dean's MapReduce Slides](http://research.google.com/archive/mapreduce-osdi04-slides/index.html)

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|   | Thurs. 5/25  | PS2 due  | **Problem set #2 due**  |   |  
| Week 9  | Tues. 5/30  | Lecture (Pandu)  |  **Crawling and near-duplicate pages**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture18-crawling.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture18-crawling-6-per-page.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture18-crawling-1-per-page.pdf)

 | 
  * [IIR chapter 19](http://nlp.stanford.edu/IR-book/pdf/19web.pdf)
  * [IIR chapter 20](http://nlp.stanford.edu/IR-book/pdf/20crawl.pdf)
  * [Mercator: A scalable, extensible web crawler (Heydon et al. 1999)](https://webarchive.jira.com/wiki/download/attachments/5441/1999-Mercator.pdf)
  * [A standard for robot exclusion](http://www.robotstxt.org/orig.html)

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|   | Thurs. 6/1  | Lecture (Pandu)  |  **Personalization**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/personalization-lecture.ppt) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/personalization-lecture-6-per-page.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/personalization-lecture-1-per-page.pdf)

 | 
  * [J. Teevan, S. Dumais, E. Horvitz. Potential for personalization. 2010](http://research.microsoft.com/pubs/154553/tochi10.pdf)
  * [J. Pitkow et al. Personalized search. 2002](http://www.cond.org/p50-pitkow.pdf)
  * [J. Teevan, S. Dumais, E. Horvitz. Personalizing search via automated analysis of interests and activities. 2005](http://research.microsoft.com/en-us/um/people/sdumais/SIGIR2005-PersonalizedSearch.pdf)
  * [P. Bennett et al. Inferring and using location metadata to personalize Web search. 2011](http://research.microsoft.com/pubs/150729/BennettSIGIR2011.pdf)
  * [T. Haveliwala. Topic-sensitive pagerank. 2002.](http://www-cs-students.stanford.edu/~taherh/papers/topic-sensitive-pagerank.pdf)
  * [G. Jeh and J. Widom. Scaling personalized Web search. 2003](http://infolab.stanford.edu/~glenj/spws.pdf)
  * [M. Curtiss et al. Unicorn: A system for searching the social graph. 2013](http://www.vldb.org/pvldb/vol6/p1150-curtiss.pdf)

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|   | Thurs. 6/1  | PA4 due  | **Programming assignment #4 due**  |   |  
| Week 10  | Tues. 6/6  | Lecture (Chris)  |  **Question answering**  
  
In-class lecture notes: 
  * [PPT](https://web.stanford.edu/class/cs276/handouts/lecture19-Web-QA.pptx) | [PDF/6](https://web.stanford.edu/class/cs276/handouts/lecture19-Web-QA-6up.pdf) | [PDF/1](https://web.stanford.edu/class/cs276/handouts/lecture19-Web-QA.pdf)

 |   |  
| Exam week  | Mon. 6/12  | Final exam  | **Alternate final exam (7:00-10:00pm)**  |   |  
|   | Wed. 6/14  | Final exam  | **Final exam (3:30-6:30pm)**  |  [Practice final (2016)](https://web.stanford.edu/class/cs276/restricted/final_2016.pdf)  
[Practice final solutions](https://web.stanford.edu/class/cs276/restricted/final_2016_sol.pdf)  |