Python as a programming language for the introductory programming courses

Tämä kandidaatintyö tutkii tietotekniikan perusopetuksessa keskeisen aiheen,ohjelmoinnin, alkeisopetusta ja siihen liittyviä ongelmia. Työssä perehdytään ohjelmoinnin perusopetusmenetelmiin ja opetuksen lähestymistapoihin, sekä ratkaisuihin, joilla opetusta voidaan tehostaa. Näitä ratkaisuja työssä ovat mm. ohjelmointikielen valinta, käytettävän kehitysympäristön löytäminen sekä kurssia tukevien opetusapuvälineiden etsiminen. Lisäksi kurssin läpivientiin liittyvien toimintojen, kuten harjoitusten ja mahdollisten viikkotehtävien valinta kuuluu osaksitätä työtä. Työ itsessään lähestyy aihetta tutkimalla Pythonin soveltuvuutta ohjelmoinnin alkeisopetukseen mm. vertailemalla sitä muihin olemassa oleviin yleisiin opetuskieliin, kuten C, C++ tai Java. Se tarkastelee kielen hyviä ja huonoja puolia, sekä tutkii, voidaanko Pythonia hyödyntää luontevasti pääasiallisena opetuskielenä. Lisäksi työ perehtyy siihen, mitä kaikkea kurssilla tulisi opettaa, sekä siihen, kuinka kurssin läpivienti olisi tehokkainta toteuttaa ja minkälaiset tekniset puitteet kurssin toteuttamista varten olisi järkevää valita.

Mielipidekyselyjärjestelmän suunnittelu ja toteutus

Tämän työn tavoitteena on suunnitella yksinkertainen Internet-pohjainen mielipidekyselyjärjestelmä sekä esitellä yksityiskohtaisesti järjestelmän toteutus ja siihen liittyvät menetelmät. Menetelmistäesitellään ainoastaan ennalta valitut menetelmät järjestelmän toteutukseen, tietojen esittämiseen, esitystavan muotoiluun sekä tietojen varastointiin. Järjestelmä toteutetaan HTML- ja PHP-kielillä sekä käyttämällä CSS-menetelmän tyylimuotoiluja ja XML-kielen muotoiluun perustuvia tiedostoja tietovarastoina. Järjestelmän suunnitteluun liittyen työssä pyritään kuvaamaan järjestelmään toteutettavat kaksi erillistä käyttöliittymää, pääkäyttäjän käyttöliittymä ja normaalin käyttäjän käyttöliittymä, sekä näihin toteutettavat toiminnot. Pääkäyttäjän tärkeimmät toiminnot ovat mielipidekyselyiden luominen, käyttäjien lisääminen kyselyihin sekä kyselyiden tulosten seuranta. Normaalin käyttäjän toiminnot taas rajoittuvat kirjautumiseen ja kyselyyn vastaamiseen. Järjestelmän toteutuksen kuvauksessa kuvataan tarkasti edellä mainittujen kahden käyttöliittymän toiminnot sekä näiden toimintojen toteutustavat. Lisäksi toteutuksen kuvauksen yhteydessä määritellään tarkasti järjestelmän tietovarastoina toimivien tiedostojen sisällön muoto. Työn lopputuloksena syntyi valituilla toteutustavoilla toteutettu toimiva mielipidekyselyjärjestelmä sekä tämä järjestelmän suunnitteluun ja toteutuksen selvittämiseen keskittynyt dokumentti. Toteutetusta järjestelmästä ei tullut täydellinen vaan jatkokehityksessä voidaan harkita esimerkiksi tietokannan käyttämistä järjestelmän tietovarastoina sekä joidenkin lisäominaisuuksien toteuttamista. Tavoitteeseen päästiin kuitenkin, sillä toteutettu järjestelmä on toimiva ja käyttötarkoitukseensa sopiva.

Dynamic application development in Symbian OS

Diplomityössä tutkitaan, kuinka Symbian-sovelluskehitystä voitaisiin tehostaa. Työssä esitellään Symbian-käyttöjärjestelmä, sekä pohditaan haasteita ja rajoitteita joita Symbian sovelluskehityksessä kohdataan. Myöskin jo olemassa olevia kehitystapoja pohditaan työn tavoitteen kannalta. Symbian-sovelluskehityksessä tehdään toistuvasti samoja asioita. Koska Symbian on avoin käyttöjärjestelmä, sovelluskehittäjiä on paljon. Tehokkaamman kehitystavan löytäminen säästäisi paljon resursseja. Tällä hetkellä perinteiset ohjelmointitavat näyttävät olevan suosituin tapa kehittää sovelluksia. Kuitenkin on jo olemassa useita ratkaisuja, jotka pyrkivät tehostamaan sovelluskehitystä, mikä todistaa tarpeen kehittää tehokkuutta. Työssä toteutettu systeemi ajaa Symbian sovelluksia XML-määrityksen pohjalta. Kun käytetään XML-määritystä C++-koodin sijasta, sovelluskehitys muuttuu. Näiden muutosten täytyy kuitenkin olla myönteisiä, eivätkä ne saa haitata ohjelmiston laatua tai käytettävyyttä.

More than Words? An Analysis on the Language and Structure of General Election Manifestos of the British Labour Party 1983-2005

The topic of this study is the language of the educational policies of the British Labour party in the General Election manifestos between the years 1983-2005. The twenty-year period studied has been a period of significant changes in world politics, and in British politics, especially for the Labour party. The emergence educational policy as a vote-winner of the manifestos of the nineties has been noteworthy. The aim of the thesis is two-fold: to look at the structure of the political manifesto as an example of genre writing and to analyze the content utilizing the approach of critical discourse analysis. Furthermore, the aim of this study is not to pinpoint policy positions but to look at what is the image that the Labour Party creates of itself through these manifestos. The analysis of the content is done by a method of close-reading. Based on the findings, the methodology for the analysis of the content was created. This study utilized methodological triangulation which means that the material is analyzed from several methodological aspects. The aspects used in this study are ones of lexical features (collocation, coordination, euphemisms, metaphors and naming), grammatical features (thematic roles, tense, aspect, voice and modal auxiliaries) and rhetoric (Burke, Toulmin and Perelman). From the analysis of the content a generic description is built. By looking at the lexical, grammatical and rhetorical features a clear change in language of the Labour Party can be detected. This change is foreshadowed already in the 1992 manifesto but culminates in the 1997 manifesto which would lead Labour to a landslide victory in the General Election. During this twenty-year period Labour has moved away from the old commitments and into the new sphere of “something for everybody”. The pervasiveness of promotional language and market inspired vocabulary into the sphere of manifesto writing is clear. The use of the metaphors seemed to be the tool for the creation of the image of the party represented through the manifestos. A limited generic description can be constructed from the findings based on the content and structure of the manifestos: especially more generic findings such as the use of the exclusive we, the lack of certain anatomical parts of argument structure, the use of the future tense and the present progressive aspect can shed light to the description of the genre of manifesto writing. While this study is only the beginning, it proves that the combination of looking at the lexical, grammatical and rhetorical features in the study of manifestos is a promising one.

Language Flexibility: The Effects of Finnish-Swedish Bilingualism on EFL Acquisition

Tutkielmassa käsitellään vieraan kielen, ts. englannin, oppimista peruskoulussa. Hypoteesina oletetaan, että oppilaat, jotka jo hallitsevat kaksi kieltä, menestyvät paremmin vieraan kielen oppimisessa kuin yksikieliset oppilaat. Tutkielmassa vertaillaan kaksikielisten ja yksikielisten oppilaiden englannin kielen taitoja alakoulun kuudennen luokan päättyessä. Kaksikielisyys voidaan ymmärtää monella tavalla, ja tutkimustulokset kaksikielisyyden vaikutuksista ovat usein olleet ristiriitaisia. Siksi tutkielmassa ensin määritellään kaksikielisyys, sen lajit sekä siihen liittyvää terminologiaa. Lisäksi kuvaillaan Suomen sekä erityisesti Turun kaupungin kaksikielisen väestön tilaa ja oikeuksia sekä keskustellaan aikaisempien tutkimusten perusteella mahdollisista ongelmista ja hyödyistä, joita kaksikielisyyteen liittyy. Kaksikielisyyteen on perinteisesti liittynyt myös paljon ennakkoluuloja, kuten pelko puolikielisyydestä, jotka tieteellisten tutkimusten avulla pyritään kumoamaan. Mahdollisia muita ongelmia, kuten pienempi sanavarasto molemmissa kielissä verrattuna saman ikäisiin yksikielisiin sekä reaktioaikojen piteneminen, kuitenkin esiintyy. Kaksikielisyyden hyötyjä sen sijaan voivat olla mm. luovuus, kyky kielen analyyttiseen tarkasteluun, metalingvististen taitojen kehittyminen ja avoimuus muita kieliä ja kulttuureita kohtaan. Kaikki mainitut edut ja haitat myös vaikuttavat vieraan kielen opinnoissa menestymiseen. Myös mahdollinen positiivinen transferenssi otetaan huomioon. Tutkimuksen empiiristä osaa varten vierailtiin kahdessa turkulaisessa alakoulussa, joiden kuudennen luokan oppilaat suorittivat kaksi englannin kielen tehtävää. Toinen kouluista oli suomenkielinen, jonka oppilaat edustivat yksikielistä vertailuryhmää (n=31). Ruotsinkielinen koulu valittiin edustamaan kaksikielistä ryhmää (n=34), sillä yleensä Suomessa ja kaupungeissa kuten Turussa vähemmistökielen puhujat hallitsevat käytännössä usein myös suomen kielen. Ruotsinkielisen koulun oppilaiden kaksikielisyys varmistettiin kielitaustakyselyllä. Kaksikielisten oppilaiden tulokset molemmissa tehtävissä olivat hieman paremmat kuin yksikielisten. Yksikielisessä ryhmässä myös tulosten keskihajonta oli suurempi. Kaksikieliset näyttivät hallitsevan kielen analyyttisen tarkastelun paremmin sekä tekivät vähemmän kieliopillisia virheitä. Positiivisen transferenssin vaikutus oli myös nähtävissä. Toisaalta heillä oli enemmän oikeinkirjoitusvirheitä vastauksissaan.Merkittäviä eroja ei kuitenkaan englannin kielen oppimisessa voitu todentaa.

Search Interfaces on the Web: Querying and Characterizing

Current-day web search engines (e.g., Google) do not crawl and index a significant portion of theWeb and, hence, web users relying on search engines only are unable to discover and access a large amount of information from the non-indexable part of the Web. Specifically, dynamic pages generated based on parameters provided by a user via web search forms (or search interfaces) are not indexed by search engines and cannot be found in searchers’ results. Such search interfaces provide web users with an online access to myriads of databases on the Web. In order to obtain some information from a web database of interest, a user issues his/her query by specifying query terms in a search form and receives the query results, a set of dynamic pages that embed required information from a database. At the same time, issuing a query via an arbitrary search interface is an extremely complex task for any kind of automatic agents including web crawlers, which, at least up to the present day, do not even attempt to pass through web forms on a large scale. In this thesis, our primary and key object of study is a huge portion of the Web (hereafter referred as the deep Web) hidden behind web search interfaces. We concentrate on three classes of problems around the deep Web: characterization of deep Web, finding and classifying deep web resources, and querying web databases. Characterizing deep Web: Though the term deep Web was coined in 2000, which is sufficiently long ago for any web-related concept/technology, we still do not know many important characteristics of the deep Web. Another matter of concern is that surveys of the deep Web existing so far are predominantly based on study of deep web sites in English. One can then expect that findings from these surveys may be biased, especially owing to a steady increase in non-English web content. In this way, surveying of national segments of the deep Web is of interest not only to national communities but to the whole web community as well. In this thesis, we propose two new methods for estimating the main parameters of deep Web. We use the suggested methods to estimate the scale of one specific national segment of the Web and report our findings. We also build and make publicly available a dataset describing more than 200 web databases from the national segment of the Web. Finding deep web resources: The deep Web has been growing at a very fast pace. It has been estimated that there are hundred thousands of deep web sites. Due to the huge volume of information in the deep Web, there has been a significant interest to approaches that allow users and computer applications to leverage this information. Most approaches assumed that search interfaces to web databases of interest are already discovered and known to query systems. However, such assumptions do not hold true mostly because of the large scale of the deep Web – indeed, for any given domain of interest there are too many web databases with relevant content. Thus, the ability to locate search interfaces to web databases becomes a key requirement for any application accessing the deep Web. In this thesis, we describe the architecture of the I-Crawler, a system for finding and classifying search interfaces. Specifically, the I-Crawler is intentionally designed to be used in deepWeb characterization studies and for constructing directories of deep web resources. Unlike almost all other approaches to the deep Web existing so far, the I-Crawler is able to recognize and analyze JavaScript-rich and non-HTML searchable forms. Querying web databases: Retrieving information by filling out web search forms is a typical task for a web user. This is all the more so as interfaces of conventional search engines are also web forms. At present, a user needs to manually provide input values to search interfaces and then extract required data from the pages with results. The manual filling out forms is not feasible and cumbersome in cases of complex queries but such kind of queries are essential for many web searches especially in the area of e-commerce. In this way, the automation of querying and retrieving data behind search interfaces is desirable and essential for such tasks as building domain-independent deep web crawlers and automated web agents, searching for domain-specific information (vertical search engines), and for extraction and integration of information from various deep web resources. We present a data model for representing search interfaces and discuss techniques for extracting field labels, client-side scripts and structured data from HTML pages. We also describe a representation of result pages and discuss how to extract and store results of form queries. Besides, we present a user-friendly and expressive form query language that allows one to retrieve information behind search interfaces and extract useful data from the result pages based on specified conditions. We implement a prototype system for querying web databases and describe its architecture and components design.

A Dependency Parsing Approach to Biomedical Text Mining

Biomedical research is currently facing a new type of challenge: an excess of information, both in terms of raw data from experiments and in the number of scientific publications describing their results. Mirroring the focus on data mining techniques to address the issues of structured data, there has recently been great interest in the development and application of text mining techniques to make more effective use of the knowledge contained in biomedical scientific publications, accessible only in the form of natural human language. This thesis describes research done in the broader scope of projects aiming to develop methods, tools and techniques for text mining tasks in general and for the biomedical domain in particular. The work described here involves more specifically the goal of extracting information from statements concerning relations of biomedical entities, such as protein-protein interactions. The approach taken is one using full parsing—syntactic analysis of the entire structure of sentences—and machine learning, aiming to develop reliable methods that can further be generalized to apply also to other domains. The five papers at the core of this thesis describe research on a number of distinct but related topics in text mining. In the first of these studies, we assessed the applicability of two popular general English parsers to biomedical text mining and, finding their performance limited, identified several specific challenges to accurate parsing of domain text. In a follow-up study focusing on parsing issues related to specialized domain terminology, we evaluated three lexical adaptation methods. We found that the accurate resolution of unknown words can considerably improve parsing performance and introduced a domain-adapted parser that reduced the error rate of theoriginal by 10% while also roughly halving parsing time. To establish the relative merits of parsers that differ in the applied formalisms and the representation given to their syntactic analyses, we have also developed evaluation methodology, considering different approaches to establishing comparable dependency-based evaluation results. We introduced a methodology for creating highly accurate conversions between different parse representations, demonstrating the feasibility of unification of idiverse syntactic schemes under a shared, application-oriented representation. In addition to allowing formalism-neutral evaluation, we argue that such unification can also increase the value of parsers for domain text mining. As a further step in this direction, we analysed the characteristics of publicly available biomedical corpora annotated for protein-protein interactions and created tools for converting them into a shared form, thus contributing also to the unification of text mining resources. The introduced unified corpora allowed us to perform a task-oriented comparative evaluation of biomedical text mining corpora. This evaluation established clear limits on the comparability of results for text mining methods evaluated on different resources, prompting further efforts toward standardization. To support this and other research, we have also designed and annotated BioInfer, the first domain corpus of its size combining annotation of syntax and biomedical entities with a detailed annotation of their relationships. The corpus represents a major design and development effort of the research group, with manual annotation that identifies over 6000 entities, 2500 relationships and 28,000 syntactic dependencies in 1100 sentences. In addition to combining these key annotations for a single set of sentences, BioInfer was also the first domain resource to introduce a representation of entity relations that is supported by ontologies and able to capture complex, structured relationships. Part I of this thesis presents a summary of this research in the broader context of a text mining system, and Part II contains reprints of the five included publications.

Profiles of Second Language Learners in Bilingual Education: A Comparative Study of the Characteristics of Finnish and American Students

The purpose of this comparative study is to profile second language learners by exploring the factors which have an impact on their learning. The subjects come from two different countries: one group comes from Milwaukee, US, and the other from Turku, Finland. The subjects have attended bilingual classes from elementary school to senior high school in their respective countries. In the United States, the subjects (N = 57) started in one elementary school from where they moved on to two high schools in the district. The Finnish subjects (N = 39) attended the same school from elementary to high school. The longitudinal study was conducted during 1994-2004 and combines both qualitative and quantitative research methods. A Pilot Study carried out in 1990-1991 preceded the two subsequent studies that form the core material of this research. The theoretical part of the study focuses first on language policies in the United States and Finland: special emphasis is given to the history, development and current state of bilingual education, and the factors that have affected policy-making in the provision of language instruction. Current language learning theories and models form the theoretical foundation of the research, and underpin the empirical studies. Cognitively-labeled theories are at the forefront, but sociocultural theory and the ecological approach are also accounted for. The research methods consist of questionnaires, compositions and interviews. A combination of statistical methods as well as content analysis were used in the analysis. The attitude of the bilingual learners toward L1 and L2 was generally positive: the subjects enjoyed learning through two languages and were motivated to learn both. The knowledge of L1 and parental support, along with early literacy in L1, facilitated the learning of L2. This was particularly evident in the American subject group. The American subjects’ L2 learning was affected by the attitudes of the learners to the L1 culture and its speakers. Furthermore, the negative attitudes taken by L1 speakers toward L2 speakers and the lack of opportunities to engage in activities in the L1 culture affected the American subjects’ learning of L2, English. The research showed that many American L2 learners were isolated from the L1 culture and were even afraid to use English in everyday communication situations. In light of the research results, a politically neutral linguistic environment, which the Finnish subjects inhabited, was seen to be more favorable for learning. The Finnish subjects were learning L2, English, in a neutral zone where their own attitudes and motivation dictated their learning. The role of L2 as a means of international communication in Finland, as opposed to a means of exercising linguistic power, provided a neutral atmosphere for learning English. In both the American and Finnish groups, the learning of other languages was facilitated when the learner had a good foundation in their L1, and the learning of L1 and L2 were in balance. Learning was also fostered when the learners drew positive experiences from their surroundings and were provided with opportunities to engage in activities where L2 was used.