teach:dapi:201213:description
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+ | ====== Description of Course Unit ====== | ||
+ | |||
+ | **[[http:// | ||
+ | [[http:// | ||
+ | [[http:// | ||
+ | \\ | ||
+ | --- | ||
+ | \\ | ||
+ | |||
+ | // | ||
+ | |||
+ | ===== General Information ===== | ||
+ | |||
+ | **Course Unit**: Information Description, | ||
+ | **Code**: EIC0108\\ | ||
+ | **Programmes**: | ||
+ | **Academic Year**: 2012/2013\\ | ||
+ | **Semester**: | ||
+ | **Credits**: | ||
+ | **Hours/ | ||
+ | **Teachers**: | ||
+ | |||
+ | ===== Teaching Language ===== | ||
+ | |||
+ | Suitable for English-speaking students | ||
+ | |||
+ | ===== Objectives, Skills and Learning Outcomes ===== | ||
+ | |||
+ | 1 - BACKGROUND | ||
+ | |||
+ | The " | ||
+ | |||
+ | 2 - 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. | ||
+ | |||
+ | 3 - PREVIOUS KNOWLEDGE | ||
+ | |||
+ | Knowledge and practice in programming languages for application development. | ||
+ | |||
+ | 4 - PERCENTAGE DISTRIBUTION | ||
+ | |||
+ | Scientific Component: 50%\\ | ||
+ | Technological Component: 50% | ||
+ | |||
+ | 5 - LEARNING OUTCOMES | ||
+ | |||
+ | On completion of this course, the student should be able to: | ||
+ | * Identify data sources in data repositories, | ||
+ | * 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. | ||
+ | |||
+ | ===== 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: | ||
+ | |||
+ | ===== Main Bibliography ===== | ||
+ | |||
+ | * Anders Møller, Michael I. Schwartzbach; | ||
+ | * Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze; | ||
+ | |||
+ | ===== 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 | ||
+ | | Attendance (estimated) | Lectures | 39 | | | ||
+ | | 1st Project Delivery | Project Work | 15 | 2012-10-11 | ||
+ | | 2nd Project Delivery | Project Work | 30 | 2012-11-22 | ||
+ | | 3rd Project Delivery | Project Work | 30 | 2013-01-03 | ||
+ | | Test 1 | Test/ | ||
+ | | Test 2 | Test/ | ||
+ | | Study | Test/ | ||
+ | | | Total: | 162/ | ||
+ | |||
+ | ===== Admission to 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 requires 40% in each intermediate written test. | ||
+ | |||
+ | ===== 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 enrollment status. | ||
+ | |||
+ | ===== Improvement of Final/ | ||
+ | |||
+ | Improving the classification requires a new enrollment in the course, taking the course projects and tests again. | ||
+ | |||
+ | -- MCR, JCL | ||
teach/dapi/201213/description.txt · Last modified: 02/09/2013 18:25 by 127.0.0.1