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+====== Description of Course Unit ======
+**Master in Informatics and Computing Engineering\\
+  Information Description, Storage and Retrieval\\
+  Instance: 2014/2015**
+\\
+---
+\\
+//**[[http://sigarra.up.pt/feup/en/ucurr_geral.ficha_uc_view?pv_ocorrencia_id=350446|Institutional page]]**//
+===== General Information =====
+**Course Unit**: Information Description, Storage and Retrieval\\
+**Code**: EIC0108\\
+**Programmes**: MIEIC, 5º, xx students/PRODEI yy students\\
+**Academic Year**: 2013/2014\\
+**Semester**: 1S\\
+**Credits**: 6/7,5 ECTS\\
+**Hours/Weeks**: 3 TP\\
+**Teachers**: [[http://sigarra.up.pt/feup/en/func_geral.FormView?p_codigo=209566|Cristina Ribeiro]] | [[http://sigarra.up.pt/feup/en/func_geral.FormView?p_codigo=230756|João Correia Lopes]]
+===== Teaching language =====
+Suitable for English-speaking students
+===== Objectives =====
+- BACKGROUND
+The "Information Description, Storage and Retrieval" unit assumes as its context the existence of large collections of heterogeneous information which needs to be organized, described, stored and retrieved.
+- SPECIFIC OBJECTIVES
+  - Make the students aware of the main issues in the organization and storage of large data collections.
+  - Make the students familiar with the main concepts in textual information retrieval and their application in retrieval tools.
+  - Explore the semantic web methods and tools, and use web resources and their descriptions in applications that make use of data semantics.
+===== Skills and learning outcomes =====
+On completion of this course, the student should be able to:
+  * Identify data sources in data repositories, online services APIs and user logs;
+  * Decide on the quality of the data sources and briefly characterize a selected dataset;
+  * Choose the document granularity and a storage model for the dataset;
+  * Use data manipulation tools to select appropriate data subsets and to fit the data to their intended applications;
+  * Describe the models used in information retrieval, specifically in web retrieval;
+  * Recognize the various tasks considered in information retrieval;
+  * Apply information retrieval evaluation measures to the comparison of web retrieval tools;
+  * Relate web documents with the metadata that describes or links them;
+  * Treat ontologies as providers of description tools;
+  * Explore the applications which manipulate semantic web information descriptions and create metadata sets for a chosen domain;
+  * Compare semantic web- based services with simpler approaches to resource description.
+===== Work mode =====
+In attendance
+===== Previous knowledge =====
+Knowledge and practice in programming languages for application development.
+===== Program =====
+  * Introduction to datasets; tools for dataset collection, preparation and access; data models and dataset storage.
+  * Text information retrieval; retrieval models; evaluation; web information retrieval.
+  * Information description: semantic web languages; RDF, RDF-Schema, OWL; ontologies for data in a domain.
+===== Main bibliography =====
+  * Anders Møller, Michael I. Schwartzbach;An Introduction to XML and Web Technologies, Addison Wesley Professional, 2006. ISBN: 0321269667 [[http://aleph.fe.up.pt/F/-?func=find-b&find_code=SYS&request=000074209|Biblioteca]]
+  * Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze;Introduction to Information Retrieval, Cambridge University Press, 2008. ISBN: 0521865719 [[http://aleph.fe.up.pt/F/-?func=find-b&find_code=SYS&request=000128218|Biblioteca]]
+===== Teaching procedures =====
+Lectures include theoretical presentation of the course subjects and practical sessions where proposed research topics are discussed with the students and practical coursework reported.
+===== Software =====
+  * Apache Lucene + Solr
+  * oXygen XML editor
+  * Protégé
+===== Keywords =====
+Physical sciences > Computer science > Informatics
+===== Evaluation type =====
+Distributed evaluation without final exam
+===== Registered evaluation and occupation components =====
+^ Description             ^ Type              ^  Time (hours)  ^ Date of conclusion  ^
+| Attendance (estimated)  | Lectures          |  39            |                     |
+| 1st Project Delivery    | Project Work      |  15            |  9/10/2014          |
+| 2nd Project Delivery    | Project Work      |  30            |  13/11/2014         |
+| 3rd Project Delivery    | Project Work      |  30            |  05/01/2015         |
+| Test 1                  | Test/Examination  |  1             |  20/11/2014         |
+| Test 2                  | Test/Examination  |  1             |  n/a                |
+| Study                   | Test/Examination  |  46/84         |  n/a                |
+|                         |            Total: |  162/200       |                     |
+===== Eligibility for exams =====
+The course has a practical component which results from the execution of projects, to be delivered up to the due dates established in the course plan.
+The students are admitted to the final exam if they achieve 50% in each component of the project work. Success in the course also requires 40% in each intermediate written test.
+Working students and students with similar status who are not required to participate in class must present the evolution of their work in the time periods defined with teachers.
+These students are also required to take the mini-tests, deliver their practical work and participate in the presentation sessions.
+===== Final grade =====
+The final grade is computed using the formula: GRADE= 60% Projects + 40% Tests.
+The Projects component is the result of the practical evaluation and can be obtained:
+  * completing three practical assignments according to the proposed scripts;
+  * proposing a semester-long project and reporting its results in the same sessions as the assignments.
+The project and its workplan must be validated by the course instructors.
+===== Special assignments =====
+None. All students have to complete the projects and present them as scheduled.
+===== Special evaluation (TE, DA, ...) =====
+Distributed evaluation, performed during the semester, is required of all students, regardless of their enrolment status.
+===== Improvement of final/distributed classification =====
+Improving the classification requires a new enrolment in the course, taking the course projects and tests again.
+-- MCR, JCL