Search for dissertations about: "Mathematics and Learning"

Showing result 11 - 15 of 223 swedish dissertations containing the words Mathematics and Learning.

  2. 11. How can data science contribute to a greener world? : an exploration featuring machine learning and data mining for environmental facilities and energy end users

    Author : Dong Wang; Mats Tysklind; Johan Trygg; Lili Jiang; Venkat Venkatasubramanian; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wastewater treatment; Process analytics; Big data; Machine learning; Interpretable AI; Power plants; Failure analysis; Data mining; Buildings; Energy consumption; Anomaly detection;

    Abstract : Human society has taken many measures to address environmental issues. For example, deploying wastewater treatment plants (WWTPs) to alleviate water pollution and the shortage of usable water; using waste-to-energy (WtE) plants to recover energy from the waste and reduce its environmental impact. READ MORE

  4. 12. Mathematical Reasoning : In physics and real-life context

    Author : Helena Johansson; Mats Andersson; Jesper Boesen; Morten Blomhøj; Göteborgs universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Creative mathematical reasoning; Descriptive statistics; Differential item functioning; Figurative context; Imitative reasoning; Mathematical Reasoning Requirements; Mathematics tasks; National tests; Physics tasks; Real-life context; T-test; Upper secondary school; Creative mathematical reasoning; Descriptive statistics; Differential item functioning; Figurative context; Imitative reasoning; Mathematical Reasoning Requirements; Mathematics tasks; National tests; Physics tasks; Real-life context; T-test; Upper secondary school;

    Abstract : This thesis is a compilation of four papers in which mathematical reasoning is examined in various contexts, in which mathematics is an integral part. It is known from previous studies that a focus on rote learning and procedural mathematical reasoning hamper students’ learning of mathematics. READ MORE

  5. 13. Syllogistic Analysis and Cunning of Reason in Mathematics Education

    Author : Yang Liu; Arne Engström; Jiansheng Bao; Karlstads universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mathematics education; mathematics teaching; syllogistic analysis; cunning of reason; change of perspective; didactic transposition; classroom instruction; textbook writing; Matematik; Mathematics;

    Abstract : This essay explores the issue of organizing mathematics education by means of syllogism. Two aspects turn out to be particularly significant. One is the syllogistic analysis while the other is the cunning of reason. READ MORE

  6. 14. Improving satellite measurements of clouds and precipitation using machine learning

    Author : Simon Pfreundschuh; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; precipitation; clouds; remote sensing; machine learning;

    Abstract : Observing and measuring clouds and precipitation is essential for climate science, meteorology, and an increasing range of societal and economic activities. This importance is due to the role of clouds and precipitation in the hydrological cycle and the weather and climate of the Earth. READ MORE

  7. 15. Clustering in the Big Data Era: methods for efficient approximation, distribution, and parallelization

    Author : Amir Keramatian; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Clustering; Approximation-based synopsis; Distributed and Parallel Processing; Applied ML;

    Abstract : Data clustering is an unsupervised machine learning task whose objective is to group together similar items. As a versatile data mining tool, data clustering has numerous applications, such as object detection and localization using data from 3D laser-based sensors, finding popular routes using geolocation data, and finding similar patterns of electricity consumption using smart meters. READ MORE