Elinkaaripohjaiseen ABC-analyysiin perustuva päätöksenteontukijärjestelmä

Yritysten vaihto-omaisuudenhallinnasta löytyy usein selviä puutteita. Yksi selkeä syy tähän on perinteisen ABC-analyysin riittämättömyys, joka pohjautuu puhtaasti historiatietoihin. ABC-analyysia oikein tulkitsemalla, voi siitä kuitenkin saada erinomaisen työkalun varastonhallintaan. Tämä edellyttää tuotteen elinkaarenvaiheen huomioimista. Tätä elinkaarenvaiheet huomioivaa ABC-analyysia kutsutaan elinkaaripohjaiseksi ABC-analyysiksi. Koska nykyisissä toiminnanohjausjärjestelmissä ei kuitenkaan ole mahdollista luokitella tuotteita tämän uuden menetelmän mukaisesti, syntyy tarve tukijärjestelmälle. Tukijärjestelmän tarkoituksena on sekä luokitella tuotteet elinkaaripohjaisen ABC-analyysin avulla että antaa tuotteille varastonohjaussuositukset Salmivuori Consulting Oy:n käyttämän ohjausmenetelmän mukaisesti. Varastotasojen määrittämistä helpottamaan luotiin järjestelmän yhteyteen vielä erillinen ohjaustyökalu. Lisäksi työssä on havainnollistettu keskimääräistä varaston arvoa sekä puutekustannuksia minimoivien varastotasojen valintaa case-esimerkin avulla. Järjestelmän luomien tuoteluokkien sekä varastonohjaussuositusten avulla, päätöksentekijällä on mahdollisuudet tehostaa yrityksen vaihto-omaisuudenhallintaa.

Automated, adaptive methods for forest inventory

Forest inventories are used to estimate forest characteristics and the condition of forest for many different applications: operational tree logging for forest industry, forest health state estimation, carbon balance estimation, land-cover and land use analysis in order to avoid forest degradation etc. Recent inventory methods are strongly based on remote sensing data combined with field sample measurements, which are used to define estimates covering the whole area of interest. Remote sensing data from satellites, aerial photographs or aerial laser scannings are used, depending on the scale of inventory. To be applicable in operational use, forest inventory methods need to be easily adjusted to local conditions of the study area at hand. All the data handling and parameter tuning should be objective and automated as much as possible. The methods also need to be robust when applied to different forest types. Since there generally are no extensive direct physical models connecting the remote sensing data from different sources to the forest parameters that are estimated, mathematical estimation models are of "black-box" type, connecting the independent auxiliary data to dependent response data with linear or nonlinear arbitrary models. To avoid redundant complexity and over-fitting of the model, which is based on up to hundreds of possibly collinear variables extracted from the auxiliary data, variable selection is needed. To connect the auxiliary data to the inventory parameters that are estimated, field work must be performed. In larger study areas with dense forests, field work is expensive, and should therefore be minimized. To get cost-efficient inventories, field work could partly be replaced with information from formerly measured sites, databases. The work in this thesis is devoted to the development of automated, adaptive computation methods for aerial forest inventory. The mathematical model parameter definition steps are automated, and the cost-efficiency is improved by setting up a procedure that utilizes databases in the estimation of new area characteristics.

Utilization of Automatic Meter Reading in the Improvement of a District Heating System

A district heating system comprises production facilities, a distribution network, and heat consumers. The utilization of new energy metering and reading system (AMR) is increasing constantly in district heating systems. This heuristic study shows how the AMR system can be exploited in finding optimization opportunities in district heating system. In this study, the district heating system is mainly considered from the viewpoint of operational optimization. The focus is on the core processes, heat production and distribution. Three objectives were set to this study. The first one was to examine general optimization opportunities in district heating systems. Second, to figure out the benefits of AMR for general optimization opportunities. Finally, to define a methodology for process improvement endeavors. This study shows, through a case study, the usefulness of AMR in specifying current deficiencies in a district heating system. Based on a literature review, the methodology for the improvement of business processes is presented. Additionally, some issues related to future competitiveness of district heating are concerned. As a conclusion, some optimization objectives are considered more desirable than others. Study shows that AMR is useful in the specification of optimization targets in the district heating system. Further steps in optimization process were not examined in detail. That would seem to be interesting topic for further studies.

Methods for construction and analysis of computational models in systems biology : applications to the modelling of the heat shock response and the self-assembly of intermediate filaments

Systems biology is a new, emerging and rapidly developing, multidisciplinary research field that aims to study biochemical and biological systems from a holistic perspective, with the goal of providing a comprehensive, system- level understanding of cellular behaviour. In this way, it addresses one of the greatest challenges faced by contemporary biology, which is to compre- hend the function of complex biological systems. Systems biology combines various methods that originate from scientific disciplines such as molecu- lar biology, chemistry, engineering sciences, mathematics, computer science and systems theory. Systems biology, unlike “traditional” biology, focuses on high-level concepts such as: network, component, robustness, efficiency, control, regulation, hierarchical design, synchronization, concurrency, and many others. The very terminology of systems biology is “foreign” to “tra- ditional” biology, marks its drastic shift in the research paradigm and it indicates close linkage of systems biology to computer science. One of the basic tools utilized in systems biology is the mathematical modelling of life processes tightly linked to experimental practice. The stud- ies contained in this thesis revolve around a number of challenges commonly encountered in the computational modelling in systems biology. The re- search comprises of the development and application of a broad range of methods originating in the fields of computer science and mathematics for construction and analysis of computational models in systems biology. In particular, the performed research is setup in the context of two biolog- ical phenomena chosen as modelling case studies: 1) the eukaryotic heat shock response and 2) the in vitro self-assembly of intermediate filaments, one of the main constituents of the cytoskeleton. The range of presented approaches spans from heuristic, through numerical and statistical to ana- lytical methods applied in the effort to formally describe and analyse the two biological processes. We notice however, that although applied to cer- tain case studies, the presented methods are not limited to them and can be utilized in the analysis of other biological mechanisms as well as com- plex systems in general. The full range of developed and applied modelling techniques as well as model analysis methodologies constitutes a rich mod- elling framework. Moreover, the presentation of the developed methods, their application to the two case studies and the discussions concerning their potentials and limitations point to the difficulties and challenges one encounters in computational modelling of biological systems. The problems of model identifiability, model comparison, model refinement, model inte- gration and extension, choice of the proper modelling framework and level of abstraction, or the choice of the proper scope of the model run through this thesis.

Algorithmic Solutions for Combinatorial Problems in Resource Management of Manufacturing Environments

This thesis studies the use of heuristic algorithms in a number of combinatorial problems that occur in various resource constrained environments. Such problems occur, for example, in manufacturing, where a restricted number of resources (tools, machines, feeder slots) are needed to perform some operations. Many of these problems turn out to be computationally intractable, and heuristic algorithms are used to provide efficient, yet sub-optimal solutions. The main goal of the present study is to build upon existing methods to create new heuristics that provide improved solutions for some of these problems. All of these problems occur in practice, and one of the motivations of our study was the request for improvements from industrial sources. We approach three different resource constrained problems. The first is the tool switching and loading problem, and occurs especially in the assembly of printed circuit boards. This problem has to be solved when an efficient, yet small primary storage is used to access resources (tools) from a less efficient (but unlimited) secondary storage area. We study various forms of the problem and provide improved heuristics for its solution. Second, the nozzle assignment problem is concerned with selecting a suitable set of vacuum nozzles for the arms of a robotic assembly machine. It turns out that this is a specialized formulation of the MINMAX resource allocation formulation of the apportionment problem and it can be solved efficiently and optimally. We construct an exact algorithm specialized for the nozzle selection and provide a proof of its optimality. Third, the problem of feeder assignment and component tape construction occurs when electronic components are inserted and certain component types cause tape movement delays that can significantly impact the efficiency of printed circuit board assembly. Here, careful selection of component slots in the feeder improves the tape movement speed. We provide a formal proof that this problem is of the same complexity as the turnpike problem (a well studied geometric optimization problem), and provide a heuristic algorithm for this problem.

Emancipating and developing learning activity: Systemic intervention and re-instrumentation in higher education.

The central theme of this thesis is the emancipation and further development of learning activity in higher education in the context of the ongoing digital transformation of our societies. It was developed in response to the highly problematic mainstream approach to digital re-instrumentation of teaching and studying practises in contemporary higher education. The mainstream approach is largely based on centralisation, standardisation, commoditisation, and commercialisation, while re-producing the general patterns of control, responsibility, and dependence that are characteristic for activity systems of schooling. Whereas much of educational research and development focuses on the optimisation and fine-tuning of schooling, the overall inquiry that is underlying this thesis has been carried out from an explicitly critical position and within a framework of action science. It thus conceptualises learning activity in higher education not only as an object of inquiry but also as an object to engage with and to intervene into from a perspective of intentional change. The knowledge-constituting interest of this type of inquiry can be tentatively described as a combination of heuristic-instrumental (guidelines for contextualised action and intervention), practical-phronetic (deliberation of value-rational aspects of means and ends), and developmental-emancipatory (deliberation of issues of power, self-determination, and growth) aspects. Its goal is the production of orientation knowledge for educational practise. The thesis provides an analysis, argumentation, and normative claim on why the development of learning activity should be turned into an object of individual|collective inquiry and intentional change in higher education, and why the current state of affairs in higher education actually impedes such a development. It argues for a decisive shift of attention to the intentional emancipation and further development of learning activity as an important cultural instrument for human (self-)production within the digital transformation. The thesis also attempts an in-depth exploration of what type of methodological rationale can actually be applied to an object of inquiry (developing learning activity) that is at the same time conceptualised as an object of intentional change within the ongoing digital transformation. The result of this retrospective reflection is the formulation of “optimally incomplete” guidelines for educational R&D practise that shares the practicalphronetic (value related) and developmental-emancipatory (power related) orientations that had been driving the overall inquiry. In addition, the thesis formulates the instrumental-heuristic knowledge claim that the conceptual instruments that were adapted and validated in the context of a series of intervention studies provide means to effectively intervene into existing practise in higher education to support the necessary development of (increasingly emancipated) networked learning activity. It suggests that digital networked instruments (tools and services) generally should be considered and treated as transient elements within critical systemic intervention research in higher education. It further argues for the predominant use of loosely-coupled, digital networked instruments that allow for individual|collective ownership, control, (co-)production, and re-use in other contexts and for other purposes. Since the range of digital instrumentation options is continuously expanding and currently shows no signs of an imminent slow-down or consolidation, individual and collective exploration and experimentation of this realm needs to be systematically incorporated into higher education practise.

Kahden merkkijonon pisimmän yhteisen alijonon ongelma ja sen ratkaiseminen

Tämä tutkielma kuuluu merkkijonoalgoritmiikan piiriin. Merkkijono S on merkkijonojen X[1..m] ja Y[1..n] yhteinen alijono, mikäli se voidaan muodostaa poistamalla X:stä 0..m ja Y:stä 0..n kappaletta merkkejä mielivaltaisista paikoista. Jos yksikään X:n ja Y:n yhteinen alijono ei ole S:ää pidempi, sanotaan, että S on X:n ja Y:n pisin yhteinen alijono (lyh. PYA). Tässä työssä keskitytään kahden merkkijonon PYAn ratkaisemiseen, mutta ongelma on yleistettävissä myös useammalle jonolle. PYA-ongelmalle on sovelluskohteita – paitsi tietojenkäsittelytieteen niin myös bioinformatiikan osa-alueilla. Tunnetuimpia niistä ovat tekstin ja kuvien tiivistäminen, tiedostojen versionhallinta, hahmontunnistus sekä DNA- ja proteiiniketjujen rakennetta vertaileva tutkimus. Ongelman ratkaisemisen tekee hankalaksi ratkaisualgoritmien riippuvuus syötejonojen useista eri parametreista. Näitä ovat syötejonojen pituuden lisäksi mm. syöttöaakkoston koko, syötteiden merkkijakauma, PYAn suhteellinen osuus lyhyemmän syötejonon pituudesta ja täsmäävien merkkiparien lukumäärä. Täten on vaikeaa kehittää algoritmia, joka toimisi tehokkaasti kaikille ongelman esiintymille. Tutkielman on määrä toimia yhtäältä käsikirjana, jossa esitellään ongelman peruskäsitteiden kuvauksen jälkeen jo aikaisemmin kehitettyjä tarkkoja PYAalgoritmeja. Niiden tarkastelu on ryhmitelty algoritmin toimintamallin mukaan joko rivi, korkeuskäyrä tai diagonaali kerrallaan sekä monisuuntaisesti prosessoiviin. Tarkkojen menetelmien lisäksi esitellään PYAn pituuden ylä- tai alarajan laskevia heuristisia menetelmiä, joiden laskemia tuloksia voidaan hyödyntää joko sellaisinaan tai ohjaamaan tarkan algoritmin suoritusta. Tämä osuus perustuu tutkimusryhmämme julkaisemiin artikkeleihin. Niissä käsitellään ensimmäistä kertaa heuristiikoilla tehostettuja tarkkoja menetelmiä. Toisaalta työ sisältää laajahkon empiirisen tutkimusosuuden, jonka tavoitteena on ollut tehostaa olemassa olevien tarkkojen algoritmien ajoaikaa ja muistinkäyttöä. Kyseiseen tavoitteeseen on pyritty ohjelmointiteknisesti esittelemällä algoritmien toimintamallia hyvin tukevia tietorakenteita ja rajoittamalla algoritmien suorittamaa tuloksetonta laskentaa parantamalla niiden kykyä havainnoida suorituksen aikana saavutettuja välituloksia ja hyödyntää niitä. Tutkielman johtopäätöksinä voidaan yleisesti todeta tarkkojen PYA-algoritmien heuristisen esiprosessoinnin lähes systemaattisesti pienentävän niiden suoritusaikaa ja erityisesti muistintarvetta. Lisäksi algoritmin käyttämällä tietorakenteella on ratkaiseva vaikutus laskennan tehokkuuteen: mitä paikallisempia haku- ja päivitysoperaatiot ovat, sitä tehokkaampaa algoritmin suorittama laskenta on.

Usability comparison of open source content management systems

The purpose of this thesis is to study, investigate and compare usability of open source cms. The thesis examines and compares usability aspect of some open source cms. The research is divided into two complementary parts –theoretical part and analytical part. The theoretical part mainly describes open source web content management systems, usability and the evaluation methods. The analytical part is to compare and analyze the results found from the empirical research. Heuristic evaluation method was used to measure usability problems in the interfaces. The study is fairly limited in scope; six tasks were designed and implemented in each interface for discovering defects in the interfaces. Usability problems were rated according to their level of severity. Time it took by each task, level of problem’s severity and type of heuristics violated will be recorded, analyzed and compared. The results of this study indicate that the comparing systems provide usable interfaces, and WordPress is recognized as the most usable system.

Christlich-religiöse Textwelt als translatorisch-hermeneutischer Gegenstand Gegenstandsbeschreibung und Herangehensweisen

Tämä teorialähtöinen, hermeneuttinen tutkimus sijoittuu käännöstieteen sekä uskonnon- ja kielifilosofian rajapintaan. Tutkimuksessa kuvataan kristinuskon tekstimaailmaa relevantin tulkintakehyksen kautta sekä esitetään tekstimaailman tulkintaan soveltuva lähestymistapa ammattikääntäjän eli välittävän vastaanottajan näkökulmasta. Tutkimus pureutuu käännösprosessin hermeneutiikkaan eli lähdetekstin ja sen maailman tulkintaan, ymmärtämiseen ja selittämiseen liittyviin aspekteihin. Tutkimuksessa ei esitetä käännösratkaisuja. Tutkimus nostaa esiin filosofisen ja teologisen hermeneutiikan peruskysymyksiä. Niitä ovat Raamatun tekstien vaikutushistoria, erilaiset todellisuus- ja kielikäsitykset, kirkon oppi, teologian pääsuuntaukset, uskonnolliset yhteisöt ja niiden perinteet, inhimillinen kulttuuri ja aika. Ne ovat ulottuvuuksia, jotka vaikuttavat kääntäjän tekstin- ja maailmantulkintaan ja vaativat laajojen kontekstien huomioonottamista sekä lähestymistä monista eri näkökulmista. Ludwig Wittgensteinin myöhäisfilosofiaan liittyvän kielipelin idea tarjoaa ajatusmallin, jonka avulla uskonnon käsite-, merkki- ja tekstimaailmalle voidaan luoda moninäkökulmainen tulkintakehys. Kielipelin käsitettä käytetään tässä tutkimuksessa tekstien samankaltaisuutta ja erilaisuutta kokoavana järjestelmänä, joka toimii intratekstuaalisesti eli sillä on omat pelisääntönsä, tulkinnan lähteensä sekä tunnistettava identiteetti. Järjestelmän keskiössä ovat uskonnon konstituioivat käsitteet ja kertomukset, jotka ovat muiden tulkintojen eli metatekstien lähde. Kääntäjän varsinaisina tulkintakohteina ovat metatekstit, eivät raamatunkääntämiseen liittyvät kysymykset suoranaisesti. Tutkimuksessa luodaan kuitenkin tulkintamalli, jonka mukaan metatekstejä ja raamatun tekstejä luetaan rinnakkain. Ymmärtäminen ja ongelmanratkaisu rakentuvat tekstuaalisen kommunikaation pohjalta. Tekstejä luetaan sekä sääntöteorian että narratiivisen teorian valossa. Kertomus puhuttelee vastaanottajaa eri tavalla kuin sääntö. Tulkintamallissa yhdistyvät sekä analyyttinen että luovan mielikuvituksen sallima lukutapa. Molemmat toimivat yhdessä kääntäjän tekstin- merkin- ja maailmantulkinnan apuna. Tutkimuksessa pohditaan myös tekstiteorettisia kysymyksiä, tekstin ja merkin käsitteitä sekä niiden toimintadynamiikkaa. Tulkinnan mekanismi esitetään semioosin käsitteen avulla. Teksti määritellään heuristiseksi ja eksemplaariseksi kuvaukseksi maailmasta, ja se edustaa vain osaa tulkintakokonaisuudesta. Kääntäjän hermeneuttinen kenttä ulotetaan tekstinulkoiseen maailmaan, käytäntöön ja elämänmuotoon.

Linguistic models for decision support

Linguistic modelling is a rather new branch of mathematics that is still undergoing rapid development. It is closely related to fuzzy set theory and fuzzy logic, but knowledge and experience from other fields of mathematics, as well as other fields of science including linguistics and behavioral sciences, is also necessary to build appropriate mathematical models. This topic has received considerable attention as it provides tools for mathematical representation of the most common means of human communication - natural language. Adding a natural language level to mathematical models can provide an interface between the mathematical representation of the modelled system and the user of the model - one that is sufficiently easy to use and understand, but yet conveys all the information necessary to avoid misinterpretations. It is, however, not a trivial task and the link between the linguistic and computational level of such models has to be established and maintained properly during the whole modelling process. In this thesis, we focus on the relationship between the linguistic and the mathematical level of decision support models. We discuss several important issues concerning the mathematical representation of meaning of linguistic expressions, their transformation into the language of mathematics and the retranslation of mathematical outputs back into natural language. In the first part of the thesis, our view of the linguistic modelling for decision support is presented and the main guidelines for building linguistic models for real-life decision support that are the basis of our modeling methodology are outlined. From the theoretical point of view, the issues of representation of meaning of linguistic terms, computations with these representations and the retranslation process back into the linguistic level (linguistic approximation) are studied in this part of the thesis. We focus on the reasonability of operations with the meanings of linguistic terms, the correspondence of the linguistic and mathematical level of the models and on proper presentation of appropriate outputs. We also discuss several issues concerning the ethical aspects of decision support - particularly the loss of meaning due to the transformation of mathematical outputs into natural language and the issue or responsibility for the final decisions. In the second part several case studies of real-life problems are presented. These provide background and necessary context and motivation for the mathematical results and models presented in this part. A linguistic decision support model for disaster management is presented here – formulated as a fuzzy linear programming problem and a heuristic solution to it is proposed. Uncertainty of outputs, expert knowledge concerning disaster response practice and the necessity of obtaining outputs that are easy to interpret (and available in very short time) are reflected in the design of the model. Saaty’s analytic hierarchy process (AHP) is considered in two case studies - first in the context of the evaluation of works of art, where a weak consistency condition is introduced and an adaptation of AHP for large matrices of preference intensities is presented. The second AHP case-study deals with the fuzzified version of AHP and its use for evaluation purposes – particularly the integration of peer-review into the evaluation of R&D outputs is considered. In the context of HR management, we present a fuzzy rule based evaluation model (academic faculty evaluation is considered) constructed to provide outputs that do not require linguistic approximation and are easily transformed into graphical information. This is achieved by designing a specific form of fuzzy inference. Finally the last case study is from the area of humanities - psychological diagnostics is considered and a linguistic fuzzy model for the interpretation of outputs of multidimensional questionnaires is suggested. The issue of the quality of data in mathematical classification models is also studied here. A modification of the receiver operating characteristics (ROC) method is presented to reflect variable quality of data instances in the validation set during classifier performance assessment. Twelve publications on which the author participated are appended as a third part of this thesis. These summarize the mathematical results and provide a closer insight into the issues of the practicalapplications that are considered in the second part of the thesis.

Natiivin Android-pelin käyttöliittymän skaalautuminen ja suorituskyvyn optimointi

Tässä työssä esiteltiin Android laitteisto- ja sovellusalustana sekä kuvattiin, kuinka Android-pelisovelluksen käyttöliittymä voidaan pitää yhtenäisenä eri näyttölaitteilla skaalauskertoimien ja ankkuroinnin avulla. Toisena osiona työtä käsiteltiin yksinkertaisia tapoja, joilla pelisovelluksien suorituskykyä voidaan parantaa. Näistä tarkempiin mittauksiin valittiin matalatarkkuuksinen piirtopuskuri ja näkymättömissä olevien kappaleiden piilotus. Mittauksissa valitut menetelmät vaikuttivat demosovelluksen suorituskykyyn huomattavasti. Tässä työssä rajauduttiin Android-ohjelmointiin Java-kielellä ilman ulkoisia kirjastoja, jolloin työn tuloksia voi helposti hyödyntää mahdollisimman monessa eri käyttökohteessa.

Optimization and Measuring Techniques for Collect-and-Place Machines in Printed Circuit Board Industry

This thesis considers optimization problems arising in printed circuit board assembly. Especially, the case in which the electronic components of a single circuit board are placed using a single placement machine is studied. Although there is a large number of different placement machines, the use of collect-and-place -type gantry machines is discussed because of their flexibility and increasing popularity in the industry. Instead of solving the entire control optimization problem of a collect-andplace machine with a single application, the problem is divided into multiple subproblems because of its hard combinatorial nature. This dividing technique is called hierarchical decomposition. All the subproblems of the one PCB - one machine -context are described, classified and reviewed. The derived subproblems are then either solved with exact methods or new heuristic algorithms are developed and applied. The exact methods include, for example, a greedy algorithm and a solution based on dynamic programming. Some of the proposed heuristics contain constructive parts while others utilize local search or are based on frequency calculations. For the heuristics, it is made sure with comprehensive experimental tests that they are applicable and feasible. A number of quality functions will be proposed for evaluation and applied to the subproblems. In the experimental tests, artificially generated data from Markov-models and data from real-world PCB production are used. The thesis consists of an introduction and of five publications where the developed and used solution methods are described in their full detail. For all the problems stated in this thesis, the methods proposed are efficient enough to be used in the PCB assembly production in practice and are readily applicable in the PCB manufacturing industry.

Becoming a caring nurse : the heart of the matter in nurse education

This thesis in caring science didactics is based on a thinking, where the fundamental basis for the didactic is science-based, i.e. it does not emanate from the nursing profession but brings forward a didactic that grows out of caring science and its core substance and ethos. This view on didactics arises from the caritative theory developed by Eriksson. The overall aim of the study is to clarify the meaning and essence of understanding, as well as to explore and deepen the understanding of student nurses' processes of understanding and becoming with the intention of developing a theory model for caring didactics. The overarching research questions are: What is the essence of understanding (of caring science knowledge)? What are the possibilities and importance of understanding in the appropriation of caring science? What characterizes and impels the process of becoming? The thesis consists of four sub studies and a summary section. The overall methodological approach is hermeneutic involving quantitative as well as qualitative methods. The data for the study has been collected through a longitudinal research project that followed student nurses at three universities during their entire education. The empirical sub studies form the basis for the interpreted knowledge that is formulated in the new understanding. This new understanding have, through additional theory-charging with the theory fragments from Gadamer, generated the heuristic synthesis which is illustrated in the theory model. The findings shows that understanding can be described as something unlimited, as an endless movement, which can be illustrated as a lying eighth, a lemniscate. The lemiscate of understanding is characterized by seeing, knowing and becoming and consists of seven differently named phases; the acquired horizon of understanding, the encounter of horizons, the dialogue of horizons, the fusion of horizons, application, reflection and shaping a new horizon of understanding. Bildung (formation), is the ultimate imprint of the endless spiral movement of understanding. Ethos and arête constitute the hubs around which the lemniscate of understanding circles. These include the spirit and driving force that the student carries within. The caring culture encloses the lemniscate of understanding. The caring culture provides the life space of understanding and the prevailing basic values are evinced in the culture.

Terveystiedon tietoportaalin ja sähköisen palvelun käytettävyystestaus

Tässä työssä arvioidaan terveydenhuollon sähköisten palveluiden käytettävyyttä. Tavoitteena on selvittää kuinka Hyvis.fi tyyppisen sivuston käytettävyyttä voidaan parantaa käyttäjän näkökulmasta. Käytännön työnä suoritettiin heuristinen arvio Hyvis.fi sivustolle ja sen kilpailijoiden ratkaisuille. Näin pyrittiin selvittämään syitä miksi Hyvis.fi sivuston käytettävyys ei ole yhtä hyvä kuin kilpailijoilla. Tuloksista selvisi, että todennäköisin syy on monimutkainen ja epälooginen dialogi käyttäjän kanssa. Sivuston rakenne ei ole yhtä yksinkertainen ja yhdenmukainen, kuin muissa testatuissa sivustoissa. Jatkossa on tehtävä käytettävyystestausta selvittääkseen, mitkä toiminnot ovat eniten ja vähiten käytettyjä. Eniten käytetyt toiminnot on tuotava paremmin esille käyttäjille ja vähiten käytetyt piilottaa tai poistaa täysin. Hyvis.fi sivuston tapauksessa huono dialogi vaikuttaa niin vakavalta ongelma, että muut käytettävyysongelmat johtuvat osittain siitä.