Visa version

Version skapad av Hedvig Kjellström 2016-04-07 14:35

Schedule and course plan

Where and When	Activity	Reading	Examination
January 19 13.15-15.00 V2	Lecture 1: Introduction, boolean retrieval, course practicalities Hedvig Kjellström	Manning Chapter 1
January 22 10.15-12.00 D3	Lecture 2: Term vocabulary, dictionaries and tolerant retrieval Johan Boye	Manning Chapter 2, 3
January 26 13.15-15.00 B3	Lecture 3: Evaluation of search engines Jussi Karlgren	Manning Chapter 8
February 9 13.00-17.00 Röd 17.00-18.00 Orange	Computer hall session		Oral examination of Assignment 1 in front of computer
February 12 10.15-12.00 D3	Lecture 4: IR Beyond one shot Jussi Karlgren	Manning Chapter 9, Robertson Read after Lecture 5
February 16 13.15-15.00 B1	Lecture 5: Scoring, weighting, vector space model Hedvig Kjellström	Manning Chapter 6, 7 Read before Lecture 4
February 23 13.15-15.00 B3	Lecture 6: Retrieval of documents with hyperlinks Hedvig Kjellström	Manning Chapter 21, Avrachenkov Sections 1-2
February 24 10.15-12.00 B3	Lecture 7: Probabilistic information retrieval, language models Hedvig Kjellström	Manning Chapter 11, 12
March 8 13.00-18.00 Orange	Computer hall session		Oral examination of Assignment 2 in front of computer
March 11 10.15-12.00 B1	Lecture 8: Some useful additions to a search engine, Random Indexing Viggo Kann	Sahlgren Manning Chapter 18

Where and When	Activity	Reading	Examination
April 5 13.00-18.00 Orange	Computer hall session		Oral examination of Assignment 3 in front of computer
April 12 13.15-14.00 B1	Lecture 9: Guest lecture Hercules Dalianis, SU Clinical text retrieval - some methods and some applications Electronic patient records contain a waste source of information, both in form of structured information as diagnosis codes, drug codes, lab values, time stamps, etc and unstructured in form of free text. Methods - both rule based and machine learning based for retrieving this information is presented. Applications as diagnosis codes assignment, hospital acquired infection detection and adverse drug event detection will be discussed.
April 26 13.15-15.00 M3	Lecture 10: Guest lectures Roelof Pieters, Graph Technologies Maria Skeppstedt, Gavagai
May 3 13.15-15.00 Q2	Lecture 11: Guest lectures Boxun Zhang, Spotify Anders Friberg, KTH
May 10 13.15-15.00 B3	Lecture 12: Guest lectures Simon Stenström, Findwise Magnus Rosell, FOI
May 20 09.00-12.00 Fantum, Lindstedtsv 24, floor 5	Project presentations		Written report hand-in Oral presentation in front of poster