Kestävän kehityksen toimintasuunnitelman laatiminen Lappeenrannan teknilliselle yliopistolle

Työn tavoitteena oli tuottaa kestävän kehityksen toimintasuunnitelman rakentamiseen ja seuraamiseen viitekehys, josta Lappeenrannan teknillisen yliopiston yksiköt saavat tarvittavan tiedon kestävän kehityksen indikaattorien valitsemiseen ja yksikkökohtaisten hallintaohjelmien rakentamiseen. Työssä on selvitetty mitkä ovat yliopiston yksiköiden kestävän kehityksen näkökohdat ja niiden seuraamisessa tarvittavat yksikkökohtaiset indikaattorit sekä miten indikaattoreita ja opetusministeriöiden hyväksymää Baltic 21E –ohjelmaa voitaisiin käytännössä hyödyntää. Kestävän kehityksen toimintasuunnitelma perustuu Global Reporting Initiativen (GRI:n) vuonna 2002 julkaisemaan yhteiskuntavastuun raportointiohjeeseen. Toimintasuunnitelma perustuu osittain myös ympäristöjärjestelmästandardi ISO 14001:een ja työssä on huomioitu opetusministeriön ohjeen mukaisesti Baltic 21E –raportti ja erityisesti opetusministeriön asettaman työryhmän ehdotus Baltic 21E –ohjelman käynnistyssuunnitelmaksi. Työssä teoriaosuuden ja raportointiperusteiden jälkeen on kuvattu GRI:n ohjeiden mukaisesti yliopiston organisaatio, visio, strategia ja hallintajärjestelmät. Pääasiassa haastatteluin tehdyllä kestävän kehityksen katselmuksella on selvitetty Lappeenrannan teknillisen yliopiston yksiköiden kestävän kehityksen näkökohdat. Näkökohdat on jaoteltu ympäristöhallintajärjestelmän mukaisesti toimintoihin, tuotteisiin ja palveluihin. Näkökohdissa on huomioitu Baltic 21E –raportti ja sen tavoite- ja toimenpide-ehdotukset. Kestävän kehityksen näkökohtien ja vaikutusten seuraamiseksi on jokaiselle yksikölle tunnistettu indikaattorit, jotka on muotoiltu GRI:n Sustainability Reporting Guideliness –julkaisun indikaattorien pohjalta. Työssä on selvitetty indikaattorien käyttötarkoitusta ja esimerkein havainnollistettu indikaattorien ja Baltic 21E –ohjelman käyttöönottomahdollisuuksia ISO 14001 –järjestelmän mukaisesti. Haastattelujen ja Baltic 21E –toimintaohjelman perusteella yliopiston kestävän kehityksen näkökohdat liittyvät opetukseen, tutkimukseen, täydennyskoulutukseen ja julkaisutoimintaan sekä yliopistoyhteisön omaan kestävän kehityksen tietoisuuteen ja toimintaperiaatteiden noudattamiseen. Yliopistotoiminnassa kestävä kehitys on myös mukana alueellisessa vuorovaikutuksessa sidosryhmäsuhteiden ja uuden tiedon tuottamisen kautta. Yliopiston yksiköiden kestävää kehitystä mittaavia indikaattoreita tunnistettiin suuri joukko. Eniten tunnistettiin yhteiskunnalliseen vaikutusluokkaan kuuluvia indikaattoreita. Jaoteltaessa indikaattorit käyttötarkoituksittain tarkasteltavien indikaattorien määrä hieman vähenee. Tämän työn jälkeen tulisi GRI:n ohjeiden mukaisesti käydä sidosryhmien välistä vuoropuhelua yksikkökohtaisten merkittävimpien indikaattorien tunnistamiseksi ja kestävän kehityksen päämäärien ja tavoitteiden asettamiseksi. Tämän työn indikaattorien pää-asialliset käyttökohteet olisivat yksiköiden sisäisessä kehittämisessä ja viestinnässä, vähemmässä määrin tuloskeskusteluissa.

Sairaanhoitajaopiskelijoiden ohjattujen käytännön harjoittelujen aikana ilmenneet eettiset ongelmat

Ethical problems occurring during the practical training period of Finnish nursing students The present study focused on nursing students adopting the professional code of conduct during their supervised practical training. The study was carried out in two phases. During the first phase, the objective was to survey ethical problems occurring in practical training as well as how these problems are detected and resolved by nursing students and their supervisors at different stages of their studies. In the second phase, the capability of the nursing students about to graduate to detect and resolve ethical problems was described and analyzed. The students’ capacity for self-instruction, independent search for information as well as factors related to teaching of ethics were determined within this phase. Further, an extensive literature review was carried out to complement the study. Thus, the main objective of the thesis was to make suggestions for the development of the teaching of ethics and supervision in nursing studies and in practice. In the first part of the empirical phase (2002–2005), the views of the nursing students (n =18) were clarified with themed open essay questions. Furthermore, the views of the supervising nurses (n = 115) were established by utilizing a series of themed questions and group interviews. During the second phase (2006–2007), the data for the analyses were collected from nursing students in their graduating stage (n = 319) by a national Internet-based questionnaire. The results of the first phase were examined with contentanalysis and those of the second phase both statistically and by using content analysis. Ethical problems occurring during supervised practical training were typically connected to a patient or a client, a member of the nursing staff or to a student, while solutions were connected to preparation and the action to solve the problem in question. Ethical dilemmas were classified as legal, ethical comportment and uncertainty problems as well as personal and institutional ones. The solutions for these problems were further grouped as based on facts, instructor/staff/member/specialist or patient/client/relative. The results showed that although the nursing students about to graduate had detected many ethical problems both independently as well as together with the nursing staff during every practical training period, they were able to resolve only few of them. Ethical problems were most frequently encountered during training in psychiatric nursing. On the grounds of their own impressions, the nursing students stated that their ability to detect and solve ethical problems improved during their training period. The primary factors related to this enhancement of their skills were teaching and the students’ readiness for selfinstruction. Gender, orientation of the studies and age were observed to be the most important among the underlying factors influencing the capability to detect and solve ethical problems as well as to engage in self-instruction. Based on the results obtained, suggestions for development as well as topics for further studies are presented through teaching of professional ethics and supervision during practical training.

Teaching mathematics and programming : new approaches with empirical evaluation

Programming and mathematics are core areas of computer science (CS) and consequently also important parts of CS education. Introductory instruction in these two topics is, however, not without problems. Studies show that CS students find programming difficult to learn and that teaching mathematical topics to CS novices is challenging. One reason for the latter is the disconnection between mathematics and programming found in many CS curricula, which results in students not seeing the relevance of the subject for their studies. In addition, reports indicate that students' mathematical capability and maturity levels are dropping. The challenges faced when teaching mathematics and programming at CS departments can also be traced back to gaps in students' prior education. In Finland the high school curriculum does not include CS as a subject; instead, focus is on learning to use the computer and its applications as tools. Similarly, many of the mathematics courses emphasize application of formulas, while logic, formalisms and proofs, which are important in CS, are avoided. Consequently, high school graduates are not well prepared for studies in CS. Motivated by these challenges, the goal of the present work is to describe new approaches to teaching mathematics and programming aimed at addressing these issues: Structured derivations is a logic-based approach to teaching mathematics, where formalisms and justifications are made explicit. The aim is to help students become better at communicating their reasoning using mathematical language and logical notation at the same time as they become more confident with formalisms. The Python programming language was originally designed with education in mind, and has a simple syntax compared to many other popular languages. The aim of using it in instruction is to address algorithms and their implementation in a way that allows focus to be put on learning algorithmic thinking and programming instead of on learning a complex syntax. Invariant based programming is a diagrammatic approach to developing programs that are correct by construction. The approach is based on elementary propositional and predicate logic, and makes explicit the underlying mathematical foundations of programming. The aim is also to show how mathematics in general, and logic in particular, can be used to create better programs.

Informal learning and competence development during a management trainee program

The purpose of this research was to study how management trainee program participants experienced the program with respect to their learning and competence development. Additionally, the purpose was also to examine what the trainees learned and how the learning occurred. Furthermore, factors affecting learning in the workplace were examined. The theoretical framework of this research was formed utilizing individual competence and informal learning frameworks. Research was conducted as a single case study and data was gathered by thematic interviews. The results of this research indicate that the trainees experienced the program as a good method for learning the overall picture of the organization and its business. Regarding competence development, especially knowledge- and cognitive competence categories were developed during the program. The best learning outcomes were achieved through learning by doing, in co-operation with others, and learning from others. The results indicate that the planning of the program and its structure have a significant effect on learning. Furthermore, a sufficient level of challenge was experienced as being important for the quality of the learning as well.

Variational ensemble Kalman filtering applied to data assimilation problems in computational fluid dynamics

One challenge on data assimilation (DA) methods is how the error covariance for the model state is computed. Ensemble methods have been proposed for producing error covariance estimates, as error is propagated in time using the non-linear model. Variational methods, on the other hand, use the concepts of control theory, whereby the state estimate is optimized from both the background and the measurements. Numerical optimization schemes are applied which solve the problem of memory storage and huge matrix inversion needed by classical Kalman filter methods. Variational Ensemble Kalman filter (VEnKF), as a method inspired the Variational Kalman Filter (VKF), enjoys the benefits from both ensemble methods and variational methods. It avoids filter inbreeding problems which emerge when the ensemble spread underestimates the true error covariance. In VEnKF this is tackled by resampling the ensemble every time measurements are available. One advantage of VEnKF over VKF is that it needs neither tangent linear code nor adjoint code. In this thesis, VEnKF has been applied to a two-dimensional shallow water model simulating a dam-break experiment. The model is a public code with water height measurements recorded in seven stations along the 21:2 m long 1:4 m wide flume’s mid-line. Because the data were too sparse to assimilate the 30 171 model state vector, we chose to interpolate the data both in time and in space. The results of the assimilation were compared with that of a pure simulation. We have found that the results revealed by the VEnKF were more realistic, without numerical artifacts present in the pure simulation. Creating a wrapper code for a model and DA scheme might be challenging, especially when the two were designed independently or are poorly documented. In this thesis we have presented a non-intrusive approach of coupling the model and a DA scheme. An external program is used to send and receive information between the model and DA procedure using files. The advantage of this method is that the model code changes needed are minimal, only a few lines which facilitate input and output. Apart from being simple to coupling, the approach can be employed even if the two were written in different programming languages, because the communication is not through code. The non-intrusive approach is made to accommodate parallel computing by just telling the control program to wait until all the processes have ended before the DA procedure is invoked. It is worth mentioning the overhead increase caused by the approach, as at every assimilation cycle both the model and the DA procedure have to be initialized. Nonetheless, the method can be an ideal approach for a benchmark platform in testing DA methods. The non-intrusive VEnKF has been applied to a multi-purpose hydrodynamic model COHERENS to assimilate Total Suspended Matter (TSM) in lake Säkylän Pyhäjärvi. The lake has an area of 154 km2 with an average depth of 5:4 m. Turbidity and chlorophyll-a concentrations from MERIS satellite images for 7 days between May 16 and July 6 2009 were available. The effect of the organic matter has been computationally eliminated to obtain TSM data. Because of computational demands from both COHERENS and VEnKF, we have chosen to use 1 km grid resolution. The results of the VEnKF have been compared with the measurements recorded at an automatic station located at the North-Western part of the lake. However, due to TSM data sparsity in both time and space, it could not be well matched. The use of multiple automatic stations with real time data is important to elude the time sparsity problem. With DA, this will help in better understanding the environmental hazard variables for instance. We have found that using a very high ensemble size does not necessarily improve the results, because there is a limit whereby additional ensemble members add very little to the performance. Successful implementation of the non-intrusive VEnKF and the ensemble size limit for performance leads to an emerging area of Reduced Order Modeling (ROM). To save computational resources, running full-blown model in ROM is avoided. When the ROM is applied with the non-intrusive DA approach, it might result in a cheaper algorithm that will relax computation challenges existing in the field of modelling and DA.