ROBOTTIHITSAUKSEN KÄYTTÖÖNOTON EDELLYTYKSET ASIAKASOHJAUTUVASSA YKSITTÄIS- JA PIENSARJATUOTANNOSSA

Diplomityö koostuu teoria- ja tutkimusosasta. Teoriaosassa on käsitelty robottihitsaus-järjestelmän hankinnan edellytyksiä asiakasohjautuvan yksittäis- ja piensarjatuotannon lähtökohdista. Tarkastelun osa-alueita ovat asiakasohjautuva tuotanto, robottihitsaus yksittäis- ja piensarjatuotannossa, robottien ohjelmointimenetelmät, robottihitsauksen laatu ja laadunvarmistus, tehokkuus, tuottavuus, kannattavuus, robottihitsattavan tuotteen ja robottihitsausjärjestelmän suunnittelu, robottihitsausaseman turvallisuus sekä robotti-järjestelmän toteutus ja käyttöönotto. Teoriaosa on koottu siten, että sitä voidaan käyttää myös oppimateriaalina. Siinä esitetään myös sovellusesimerkki Imatran ammattikoululla toteutetusta robottihitsausaseman turvallisuusrakenneratkaisusta, jonka on suunnitellut ja toteuttanut diplomityön laatija. Diplomityön tutkimusosassa selvitetään kyselytutkimuksen avulla robottihitsauksen käyt-töönoton edellytyksiä asiakasohjautuvassa yksittäis- ja piensarjatuotannossa eteläkarjalai-sissa konepaja- ja metallialan yrityksissä. Tutkimukseen mukaan valituille 25 yritykselle ja yrityksistä valituille vastuuhenkilöille lähetettiin kirjallinen kyselytutkimus, johon vastaus saatiin 17 yritykseltä. Diplomityön tavoitteena oli selvittää robottihitsauksen käyttöönoton edellytyksiä. Tutkimuksella haettiin tietoja myös muusta yritysten suunnittelemasta hitsaus-tuotannon kehittämisestä kuten mekanisoinnista ja sen nykytilasta sekä muista mahdollisista hitsaukseen liittyvistä hankkeista. Tutkimustulosten perusteella on todettavissa, että Etelä-Karjalassa toimivista asiakas-ohjautuvista yksittäis- ja piensarjatuotantoa harjoittavista konepaja- ja metallialan yri-tyksistä löytyy yrityksiä, jotka ovat kiinnostuneita robottihitsausjärjestelmän hankinnasta, mutta saatujen tulosten perusteella voidaan todeta, että edellytyksiä siihen ei vielä näyttäisi olevan. Syiksi robottihitsausjärjestelmän hankinnan edellytysten puuttumiseen voidaan mainita muun muassa sopimaton tuoterakenne, liian yksilölliset tuotteet ja pienet sarjat, joilla ei ole toistuvuutta. Lisäksi yritykset toimivat pelkästään alihankintayrityksinä eikä niillä ole omaa tuotetta. Robottihitsausjärjestelmän hankinta voisi olla mahdollista niissä yrityksissä, jotka ovat verkottuneet, toimivat vakaavaraisesti ja joiden viennistä osa suuntautuu välillisesti tai välittömästi ulkomaille. Yhteistyöverkkojen voidaan olettaa parantavan robottihitsaus-järjestelmän hankinnan mahdollisuuksia. Tällöin kustannuksia voidaan jakaa usealle eri yritykselle ja siten voidaan tehostaa myös järjestelmän käyttöastetta sekä hankkia uusia asiakkaita. Kaksi yrityksistä on harkinnut joko oman tai leasing-robottihitsausjärjestelmän hankintaa. Ongelmina robottihitsausjärjestelmän yhteishankinnalle pidettiin esim. kenen tiloihin järjestelmä hankitaan, kuka huolehtii kunnossapidosta, miten palkat maksetaan työntekijöille ja miten käytössä oleva työaika jaetaan eri yrityksille. Diplomityön johtopäätökset ja suositukset osassa esitetään muutamia jatkotoimenpide-ehdotuksia siitä, kuinka tiettyjen yritysten osalta voitaisiin robottihitsauksen käyttöönottoa edistää. Tutkimuksen tuloksena saatua tietoa hyödynnetään muun muassa Lappeenrannan teknillisen yliopiston tutkimus- ja koulutushankkeissa sekä toisen asteen kone- ja metallitekniikan koulutuksen suunnittelussa ja toteutuksessa.

Robottihitsauksen tehokas käyttöönotto

Työn tavoitteena oli selvittää uuden robottihitsaussolun käyttöönotto siten, että se tapahtuu mahdollisimman tehokkaasti ja taloudellisesti. Uudella robotilla on tarkoitus hitsata nykyisin käsinhitsattavia kauhakuormaajien takarunkoja sekä alihankintana tilattavia kauhoja. Tuotannon kotiuttamisella alihankinnasta ja hitsauksen robotisoinnilla pyritään nostamaan omaa tuotantovolyymiä ja pienentämään valmistuskustannuksia. Työn teoriaosuudessa selvitettiin tyypilliset robotiikkaan liittyvät asiat, kuten robotit, niiden ohjaus ja ohjelmointi sekä perusteet hitsauksen robotisoinnista. Lisäksi käsiteltiin hitsattavan tuotteen suunnittelu- ja valmistusnäkökohtia ja hitsauksen kustannuslaskennan perusteet. Työn käytännön osuudessa tehtiin kartoitus kahden valitun takarunkomallin soveltuvuudesta robottihitsaukseen ja muutosehdotuksia, joilla voidaan parantaa runkojen robottihitsattavuutta. Lisäksi käytiin läpi hitsauksen nykytilanne osavalmistuksesta aina hitsauksen jälkeiseen viimeistelyyn. Hitsauksen kustannusten selvittämistä varten tehtiin taulukkolaskentaohjelma, jolla tehtiin esimerkkinä kuvitteellinen kustannussäätölaskelma. Tuottavuusmittari laadittiin niin, että sillä voidaan mitata sekä robotin että kokohitsaustapahtuman tehokkuutta pitkällä ja lyhyellä aikavälillä. Näiden lisäksi laadittiin sisäinen ohje robottihitsattavien kappaleiden silloitukseen sekä suunnittelijoille ohjeistus huomioitavista asioista suunniteltaessa kappaletta robottihitsaukseen.

Ohutlevyn taivuttaminen pienerätuotannossa

Tutkimuksessa on selvitetty ohutlevyn taivuttamismenetelmien tärkeimmät kustannustekijät ja menetelmien taloudelliset käyttöalueet. Vertailtavina menetelminä on käsinsärmäys, robotisoitu särmäys, taivutusautomaatti ja taivutuskone. Tulosta on sovellettu Hackman Metos Oy:n keittiölaitteiden tuotantoon. Tutkimusmenetelminä oli haastattelututkimus, kirjallisuustutkimus, työntutkimustulosten käyttö, ryhmäteknologian soveltaminen ja kokeellinen tutkimus. Särmäysrobotin tärkein kustannustekijä on ohjelmointiaika, mikä vaikuttaa ratkaisevasti sen soveltuvuuteen pienerätuotantoon. Nykyisten särmäyssolujen taloudellinen käyttöalue on tuhansien kappaleiden vuosivolyymi satojen kappaleiden eräkoolla. taivutusautomaatin ohjelmointi- ja asetusajat ovat erittäin lyhyet ja sen tärkein kustannustekijä on käyttöaste. Mikäli käyttöaste on korkea, taivutusautomaatti on kannattava pienerätuotannossa pienille vuosivolyymeille. Taivutusautomaatin käyttöönotossa tuotteiden suunnittelu on tärkeä tekijä, sillä särmättäväksi suunnitellut osat eivät välttämättä sovellu taivutusautomaatilla taivutettavaksi. Taivutuskoneen investointikustannus on alhaisempi kuin särmäyspuristimen, mutta sillä on paljon tuotteen valmistettavuuden liittyviä rajoituksia. Taivutuskone on kannattava investointi, mikäli tuotannossa on paljon levyjä, joiden taivutukset ovat samaan suuntaan ja ne vaativat kaksi särmääjää. Tutkimuksen perusteella Hackman Metso Oy:ssä teknis-taloudellisin taivutusmenetelmä on käsinsärmäys. Tuotannon kasvaessa taivutusautomaatti tulee olemaan särmäysrobottia edullisempi. Taivutuskoneella on niin paljon valmistettavuusrajoituksia, että se ei sovellu yrityksen tuotantoon.

NURBS toolbox for Matlab

NURBS are widely used parametric approximation curves or surfaces. NURBS can be applied to the many applications. Examples of these applications are some computeraided design applications and some medical applications. Use of NURBS is very intuitive. The objective of this work was to implement the NURBS toolbox in the Matlab environment. Matlab is a program for many kinds of computational purposes. Matlab is also a programming language. NURBS toolbox implemented in this work offers a user an opportunity to use functions of this toolbox as parts of the user’s own programs. Current version of NURBS toolbox includes functions for NURBS curve and surface evaluation. The toolbox is designed such, that it allows extensions and enhancements in the future.

Error Modeling and Accuracy Analysis of a Novel Mobile Hybrid Parallel Robot

Over the last decades, calibration techniques have been widely used to improve the accuracy of robots and machine tools since they only involve software modification instead of changing the design and manufacture of the hardware. Traditionally, there are four steps are required for a calibration, i.e. error modeling, measurement, parameter identification and compensation. The objective of this thesis is to propose a method for the kinematics analysis and error modeling of a newly developed hybrid redundant robot IWR (Intersector Welding Robot), which possesses ten degrees of freedom (DOF) where 6-DOF in parallel and additional 4-DOF in serial. In this article, the problem of kinematics modeling and error modeling of the proposed IWR robot are discussed. Based on the vector arithmetic method, the kinematics model and the sensitivity model of the end-effector subject to the structure parameters is derived and analyzed. The relations between the pose (position and orientation) accuracy and manufacturing tolerances, actuation errors, and connection errors are formulated. Computer simulation is performed to examine the validity and effectiveness of the proposed method.

Sensor Fusion of Proprioception, Force and Vision in Estimation and Robot

Sensor-based robot control allows manipulation in dynamic environments with uncertainties. Vision is a versatile low-cost sensory modality, but low sample rate, high sensor delay and uncertain measurements limit its usability, especially in strongly dynamic environments. Force is a complementary sensory modality allowing accurate measurements of local object shape when a tooltip is in contact with the object. In multimodal sensor fusion, several sensors measuring different modalities are combined to give a more accurate estimate of the environment. As force and vision are fundamentally different sensory modalities not sharing a common representation, combining the information from these sensors is not straightforward. In this thesis, methods for fusing proprioception, force and vision together are proposed. Making assumptions of object shape and modeling the uncertainties of the sensors, the measurements can be fused together in an extended Kalman filter. The fusion of force and visual measurements makes it possible to estimate the pose of a moving target with an end-effector mounted moving camera at high rate and accuracy. The proposed approach takes the latency of the vision system into account explicitly, to provide high sample rate estimates. The estimates also allow a smooth transition from vision-based motion control to force control. The velocity of the end-effector can be controlled by estimating the distance to the target by vision and determining the velocity profile giving rapid approach and minimal force overshoot. Experiments with a 5-degree-of-freedom parallel hydraulic manipulator and a 6-degree-of-freedom serial manipulator show that integration of several sensor modalities can increase the accuracy of the measurements significantly.

Use of neural networks in robot positioning of large flexible redundant manipulators

Deflection compensation of flexible boom structures in robot positioning is usually done using tables containing the magnitude of the deflection with inverse kinematics solutions of a rigid structure. The number of table values increases greatly if the working area of the boom is large and the required positioning accuracy is high. The inverse kinematics problems are very nonlinear, and if the structure is redundant, in some cases it cannot be solved in a closed form. If the structural flexibility of the manipulator arms is taken into account, the problem is almost impossible to solve using analytical methods. Neural networks offer a possibility to approximate any linear or nonlinear function. This study presents four different methods of using neural networks in the static deflection compensation and inverse kinematics solution of a flexible hydraulically driven manipulator. The training information required for training neural networks is obtained by employing a simulation model that includes elasticity characteristics. The functionality of the presented methods is tested based on the simulated and measured results of positioning accuracy. The simulated positioning accuracy is tested in 25 separate coordinate points. For each point, the positioning is tested with five different mass loads. The mean positioning error of a manipulator decreased from 31.9 mm to 4.1 mm in the test points. This accuracy enables the use of flexible manipulators in the positioning of larger objects. The measured positioning accuracy is tested in 9 separate points using three different mass loads. The mean positioning error decreased from 10.6 mm to 4.7 mm and the maximum error from 27.5 mm to 11.0 mm.

Novel Robot Solutions for Carrying out Field Joint Welding and Machining in the Assembly of the Vacuum Vessel of ITER

It is necessary to use highly specialized robots in ITER (International Thermonuclear Experimental Reactor) both in the manufacturing and maintenance of the reactor due to a demanding environment. The sectors of the ITER vacuum vessel (VV) require more stringent tolerances than normally expected for the size of the structure involved. VV consists of nine sectors that are to be welded together. The vacuum vessel has a toroidal chamber structure. The task of the designed robot is to carry the welding apparatus along a path with a stringent tolerance during the assembly operation. In addition to the initial vacuum vessel assembly, after a limited running period, sectors need to be replaced for repair. Mechanisms with closed-loop kinematic chains are used in the design of robots in this work. One version is a purely parallel manipulator and another is a hybrid manipulator where the parallel and serial structures are combined. Traditional industrial robots that generally have the links actuated in series are inherently not very rigid and have poor dynamic performance in high speed and high dynamic loading conditions. Compared with open chain manipulators, parallel manipulators have high stiffness, high accuracy and a high force/torque capacity in a reduced workspace. Parallel manipulators have a mechanical architecture where all of the links are connected to the base and to the end-effector of the robot. The purpose of this thesis is to develop special parallel robots for the assembly, machining and repairing of the VV of the ITER. The process of the assembly and machining of the vacuum vessel needs a special robot. By studying the structure of the vacuum vessel, two novel parallel robots were designed and built; they have six and ten degrees of freedom driven by hydraulic cylinders and electrical servo motors. Kinematic models for the proposed robots were defined and two prototypes built. Experiments for machine cutting and laser welding with the 6-DOF robot were carried out. It was demonstrated that the parallel robots are capable of holding all necessary machining tools and welding end-effectors in all positions accurately and stably inside the vacuum vessel sector. The kinematic models appeared to be complex especially in the case of the 10-DOF robot because of its redundant structure. Multibody dynamics simulations were carried out, ensuring sufficient stiffness during the robot motion. The entire design and testing processes of the robots appeared to be complex tasks due to the high specialization of the manufacturing technology needed in the ITER reactor, while the results demonstrate the applicability of the proposed solutions quite well. The results offer not only devices but also a methodology for the assembly and repair of ITER by means of parallel robots.

Joustavan särmäyssolun kehittäminen

Tässä diplomityössä esitellään robotisoinnin teoria ja robottisolun oheislaitteet, vaihtoehdot, toiminta ja turvallisuus. Joustavalla tuotantosolulla tarkoitetaan automaattista valmistusjärjestelmää, jossa on useita toisiinsa liitettyjä koneita yhteisellä ohjausjärjestelmällä. Solun komponentteja ovat tuotantolaitteet ja -koneet, ohjausjärjestelmät, valvontalaitteet ja anturit, toimi- ja säätölaitteet sekä ohjelmointijärjestelmä. Joustavaa tuotantosolua voidaan kehittää tehostamalla työntekijöiden koulutusta, ohjelmointia, asetusten tekemistä ja layouttia. Diplomityöhön liittyvä kehitystehtävä koskee heinäveteläisen alihankintakonepajan, Metalliset Oy:n, tuotannon tehostamista robotisoinnin avulla. Metalliset Oy:n joustavan särmäyssolun kehittämiskeinoiksi valittiin nykyisen järjestelmän tehostaminen, uuden tuotantosolun luominen olemassa olevia laitteita hyödyntäen ja tulevaisuuden tuotantosolun kehittäminen. Vertailussa parhaimmaksi osoittautui uuden tuotantosolun luominen olemassa olevia laitteita hyödyntäen.

Mobile Teleoperation of a Mobile Robot

This thesis describes the design and implementation of a graphical application on a mobile device to teleoperate a mobile robot. The department of information technology in Lappeenranta University conducts research in robotics, and the main motivation was to extend the available teleoperation applications for mobile devices. The challenge was to port existing robot software library onto an embedded device platform, then develop a suitable user interface application that provides sufficient functionality to perform teleoperation tasks over a wireless communication network. This thesis involved investigating previous teleoperation applications and conducted similar experiments to test and evaluate the designed application for functional activity and measure performance on a mobile device which have been identified and achieved. The implemented solution offered good results for navigation purposes particularly for teleoperating a visible robot and suggests solutions for exploration when no environment map for the operator is present.

Promoting Programming Learning. Engagement, Automatic Assessment with Immediate Feedback in Visualizations

The skill of programming is a key asset for every computer science student. Many studies have shown that this is a hard skill to learn and the outcomes of programming courses have often been substandard. Thus, a range of methods and tools have been developed to assist students’ learning processes. One of the biggest fields in computer science education is the use of visualizations as a learning aid and many visualization based tools have been developed to aid the learning process during last few decades. Studies conducted in this thesis focus on two different visualizationbased tools TRAKLA2 and ViLLE. This thesis includes results from multiple empirical studies about what kind of effects the introduction and usage of these tools have on students’ opinions and performance, and what kind of implications there are from a teacher’s point of view. The results from studies in this thesis show that students preferred to do web-based exercises, and felt that those exercises contributed to their learning. The usage of the tool motivated students to work harder during their course, which was shown in overall course performance and drop-out statistics. We have also shown that visualization-based tools can be used to enhance the learning process, and one of the key factors is the higher and active level of engagement (see. Engagement Taxonomy by Naps et al., 2002). The automatic grading accompanied with immediate feedback helps students to overcome obstacles during the learning process, and to grasp the key element in the learning task. These kinds of tools can help us to cope with the fact that many programming courses are overcrowded with limited teaching resources. These tools allows us to tackle this problem by utilizing automatic assessment in exercises that are most suitable to be done in the web (like tracing and simulation) since its supports students’ independent learning regardless of time and place. In summary, we can use our course’s resources more efficiently to increase the quality of the learning experience of the students and the teaching experience of the teacher, and even increase performance of the students. There are also methodological results from this thesis which contribute to developing insight into the conduct of empirical evaluations of new tools or techniques. When we evaluate a new tool, especially one accompanied with visualization, we need to give a proper introduction to it and to the graphical notation used by tool. The standard procedure should also include capturing the screen with audio to confirm that the participants of the experiment are doing what they are supposed to do. By taken such measures in the study of the learning impact of visualization support for learning, we can avoid drawing false conclusion from our experiments. As computer science educators, we face two important challenges. Firstly, we need to start to deliver the message in our own institution and all over the world about the new – scientifically proven – innovations in teaching like TRAKLA2 and ViLLE. Secondly, we have the relevant experience of conducting teaching related experiment, and thus we can support our colleagues to learn essential know-how of the research based improvement of their teaching. This change can transform academic teaching into publications and by utilizing this approach we can significantly increase the adoption of the new tools and techniques, and overall increase the knowledge of best-practices. In future, we need to combine our forces and tackle these universal and common problems together by creating multi-national and multiinstitutional research projects. We need to create a community and a platform in which we can share these best practices and at the same time conduct multi-national research projects easily.

Early nutritional determinants in cardio-metabolic programming – A prospective randomized controlled dietary intervention study

Western societies have been faced with the fact that overweight, impaired glucose regulation and elevated blood pressure are already prevalent in pediatric populations. This will inevitably mean an increase in later manifestations of cardio-metabolic diseases. The dilemma has been suggested to stem from fetal life and it is surmised that the early nutritional environment plays an important role in the process called programming. The aim of the present study was to characterize early nutritional determinants associating with cardio-metabolic risk factors in fetuses, infants and children. Further, the study was designated to establish whether dietary counseling initiated in early pregnancy can modify this cascade. Healthy mother-child pairs (n=256) participating in a dietary intervention study were followed from early pregnancy to childhood. The intervention included detailed dietary counseling by a nutritionist targeting saturated fat intake in excess of recommendations and fiber consumption below recommendations. Cardio-metabolic programming was studied by characterizing the offspring’s cardio-metabolic risk factors such as over-activation of the autonomic nervous system, elevated blood pressure and adverse metabolic status (e.g. serum high split proinsulin concentration). Fetal cardiac sympathovagal activation was measured during labor. Postnatally, children’s blood pressure was measured at six-month and four-year follow-up visits. Further, infants’ metabolic status was assessed by means of growth and serum biomarkers (32-33 split proinsulin, leptin and adiponectin) at the age of six months. This study proved that fetal cardiac sympathovagal activity was positively associated with maternal pre-pregnancy body mass index indicating adverse cardio-metabolic programming in the offspring. Further, a reduced risk of high split proinsulin in infancy and lower blood pressure in childhood were found in those offspring whose mothers’ weight gain and amount and type of fats in the diet during pregnancy were as recommended. Of note, maternal dietary counseling from early pregnancy onwards could ameliorate the offspring’s metabolic status by reducing the risk of high split proinsulin concentration, although it had no effect on the other cardio-metabolic markers in the offspring. At postnatal period breastfeeding proved to entail benefits in cardio-metabolic programming. Finally, the recommended dietary protein and total fat content in the child’s diet were important nutritional determinants reducing blood pressure at the age of four years. The intrauterine and immediate postnatal period comprise a window of opportunity for interventions aiming to reduce the risk of cardio-metabolic disorders and brings the prospect of achieving health benefits over one generation.

Tool-supported invariant-based programming

The development of correct programs is a core problem in computer science. Although formal verification methods for establishing correctness with mathematical rigor are available, programmers often find these difficult to put into practice. One hurdle is deriving the loop invariants and proving that the code maintains them. So called correct-by-construction methods aim to alleviate this issue by integrating verification into the programming workflow. Invariant-based programming is a practical correct-by-construction method in which the programmer first establishes the invariant structure, and then incrementally extends the program in steps of adding code and proving after each addition that the code is consistent with the invariants. In this way, the program is kept internally consistent throughout its development, and the construction of the correctness arguments (proofs) becomes an integral part of the programming workflow. A characteristic of the approach is that programs are described as invariant diagrams, a graphical notation similar to the state charts familiar to programmers. Invariant-based programming is a new method that has not been evaluated in large scale studies yet. The most important prerequisite for feasibility on a larger scale is a high degree of automation. The goal of the Socos project has been to build tools to assist the construction and verification of programs using the method. This thesis describes the implementation and evaluation of a prototype tool in the context of the Socos project. The tool supports the drawing of the diagrams, automatic derivation and discharging of verification conditions, and interactive proofs. It is used to develop programs that are correct by construction. The tool consists of a diagrammatic environment connected to a verification condition generator and an existing state-of-the-art theorem prover. Its core is a semantics for translating diagrams into verification conditions, which are sent to the underlying theorem prover. We describe a concrete method for 1) deriving sufficient conditions for total correctness of an invariant diagram; 2) sending the conditions to the theorem prover for simplification; and 3) reporting the results of the simplification to the programmer in a way that is consistent with the invariantbased programming workflow and that allows errors in the program specification to be efficiently detected. The tool uses an efficient automatic proof strategy to prove as many conditions as possible automatically and lets the remaining conditions be proved interactively. The tool is based on the verification system PVS and i uses the SMT (Satisfiability Modulo Theories) solver Yices as a catch-all decision procedure. Conditions that were not discharged automatically may be proved interactively using the PVS proof assistant. The programming workflow is very similar to the process by which a mathematical theory is developed inside a computer supported theorem prover environment such as PVS. The programmer reduces a large verification problem with the aid of the tool into a set of smaller problems (lemmas), and he can substantially improve the degree of proof automation by developing specialized background theories and proof strategies to support the specification and verification of a specific class of programs. We demonstrate this workflow by describing in detail the construction of a verified sorting algorithm. Tool-supported verification often has little to no presence in computer science (CS) curricula. Furthermore, program verification is frequently introduced as an advanced and purely theoretical topic that is not connected to the workflow taught in the early and practically oriented programming courses. Our hypothesis is that verification could be introduced early in the CS education, and that verification tools could be used in the classroom to support the teaching of formal methods. A prototype of Socos has been used in a course at Åbo Akademi University targeted at first and second year undergraduate students. We evaluate the use of Socos in the course as part of a case study carried out in 2007.

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.

Enabling constructive alignment in programming instruction

In this thesis, simple methods have been sought to lower the teacher’s threshold to start to apply constructive alignment in instruction. From the phases of the instructional process, aspects that can be improved with little effort by the teacher have been identified. Teachers have been interviewed in order to find out what students actually learn in computer science courses. A quantitative analysis of the structured interviews showed that in addition to subject specific skills and knowledge, students learn many other skills that should be mentioned in the learning outcomes of the course. The students’ background, such as their prior knowledge, learning style and culture, affects how they learn in a course. A survey was conducted to map the learning styles of computer science students and to see if their cultural background affected their learning style. A statistical analysis of the data indicated that computer science students are different learners than engineering students in general and that there is a connection between the student’s culture and learning style. In this thesis, a simple self-assessment scale that is based on Bloom’s revised taxonomy has been developed. A statistical analysis of the test results indicates that in general the scale is quite reliable, but single students still slightly overestimate or under-estimate their knowledge levels. For students, being able to follow their own progress is motivating, and for a teacher, self-assessment results give information about how the class is proceeding and what the level of the students’ knowledge is.