Using an evidence informed approach to create online learning resources

The Plant Sciences Pedagogy Project began in the autumn of 2005 sponsored by the Cambridge-MIT Institute (CMI). The project objectives within the Department of Plant Sciences at the University of Cambridge were twofold: to conduct research into undergraduate teaching and learning within the Department; and to develop online resources to support student learning. The research focused on the second year ‘Part IB Plant & Microbial Sciences’ (IB PMS) Course. A combination of focus groups, dual-scale questionnaires and semi-structured interviews were used to gauge both student and staff opinions on, attitudes towards, and expectations of, teaching on the IB PMS course. This resulted in a solid evidence base, with several key themes emerging that were confirmed by multiple approaches. This evidence base was then used to inform and shape the construction of the students’ course site and the new resources to be housed within it. The site was developed in the Universities’ adaptation of the Sakai Virtual Learning Environment (VLE) platform, known as CamTools, for which technical support was provided by Centre for Applied Research in Educational Technologies (CARET). There can be a strong temptation to use all the options offered by available information technology for their own sake and CamTools is rich in pre-programmed software ‘tools’. Therefore the evidence informed approach was adopted to identify appropriate tools for implementation. The CamTools/Sakai online environment proved to be extremely versatile and allowed the development of bespoke online learning resources for students; this resulted in an online learning environment which best matched the needs of the course and its students

Implications of alternative operational risk modeling techniques

Quantification of operational risk has received increased attention with the inclusion of an explicit capital charge for operational risk under the new Basle proposal. The proposal provides significant flexibility for banks to use internal models to estimate their operational risk, and the associated capital needed for unexpected losses. Most banks have used variants of value at risk models that estimate frequency, severity, and loss distributions. This paper examines the empirical regularities in operational loss data. Using loss data from six large internationally active banking institutions, we find that loss data by event types are quite similar across institutions. Furthermore, our results are consistent with economic capital numbers disclosed by some large banks, and also with the results of studies modeling losses using publicly available “external” loss data.Bank capital ; Risk management ; Basel capital accord

Diffeological, Fr\"{o}licher, and Differential Spaces

Differential calculus on Euclidean spaces has many generalisations. In particular, on a set $X$, a diffeological structure is given by maps from open subsets of Euclidean spaces to $X$, a differential structure is given by maps from $X$ to $\mathbb{R}$, and a Fr\"{o}licher structure is given by maps from $\mathbb{R}$ to $X$ as well as maps from $X$ to $\mathbb{R}$. We illustrate the relations between these structures through examples.Comment: 21 page

Automating the Boring Stuff: A Deep Learning and Computer Vision Workflow for Coral Reef Habitat Mapping

High-resolution underwater imagery provides a detailed view of coral reefs and facilitates insight into important ecological metrics concerning their health. In recent years, anthropogenic stressors, including those related to climate change, have altered the community composition of coral reef habitats around the world. Currently the most common method of quantifying the composition of these communities is through benthic quadrat surveys and image analysis. This requires manual annotation of images that is a time-consuming task that does not scale well for large studies. Patch-based image classification using Convolutional Neural Networks (CNNs) can automate this task and provide sparse labels, but they remain computationally inefficient. This work extended the idea of automatic image annotation by using Fully Convolutional Networks (FCNs) to provide dense labels through semantic segmentation. Presented here is an improved version of Multilevel Superpixel Segmentation (MSS), an existing algorithm that repurposes the sparse labels provided to an image by automatically converting them into the dense labels necessary for training a FCN. This improved implementation—Fast-MSS—is demonstrated to perform considerably faster than the original without sacrificing accuracy. To showcase the applicability to benthic ecologists, this algorithm was independently validated by converting the sparse labels provided with the Moorea Labeled Coral (MLC) dataset into dense labels using Fast-MSS. FCNs were then trained and evaluated by comparing their predictions on the test images with the corresponding ground-truth sparse labels, setting the baseline scores for the task of semantic segmentation. Lastly, this study outlined a workflow using the methods previously described in combination with Structure-from-Motion (SfM) photogrammetry to classify the individual elements that make up a 3-D reconstructed model to their respective semantic groups. The contributions of this thesis help move the field of benthic ecology towards more efficient monitoring of coral reefs through entirely automated processes by making it easier to compute the changes in community composition using 2-D benthic habitat images and 3-D models

Koch Industries, Inc. Strategie Corporate Research Report

[Excerpt] With its 2005 purchase of paper giant Georgia-Pacific, Koch Industries became the largest privately-held corporation in North America. Originally started as an oil production and refining firm in the first half of the twentieth century, Koch now has major operations in petroleum, chemicals, energy, fibers and polymers, minerals, fertilizers, chemical technology equipment, forest and consumer products, ranching, trading, and securities and finance. The company, based in Wichita, Kansas, employs 80,000 people in sixty countries worldwide. Koch’s oil operations are run primarily through the Flint Hills Resources family of subsidiaries, which has a production capacity of about 800,000 barrels of crude oil daily. Another one of Koch’s major ventures, synthetic textiles, operates through the company’s wholly-owned subsidiary, INVISTA, which produces both consumer and commodity textiles. Koch’s newest project, forest and consumer products, operates through Georgia-Pacific, which remains an independent but wholly-owned subsidiary of Koch Industries

The Teaching Practices of Social Studies Teachers and the Four Cs of 21st Century Skills of Aeta Learners in Subic District, Schools Division of Zambales, Philippines

The aim of this study was to determine the relationship of the teaching practices in the field of Social Studies and the Four Cs of the 21st Century Skills of the Aeta Learners in the District of Subic, Zambales, Philippines. The study has a descriptive correlational design. It was made use of the descriptive-survey, checklist method and rubrics. Based on findings, the Aeta students were found to have a "Good” level of Creativity, Collaboration, Critical Thinking and Communication Skills in both pre assessment and post-assessment while the social studies teacher’s Teaching Practices were found to be “sometimes” applied in the teaching and learning process. The results also show a positive moderate relationship between the teachers\u27 Teaching Practices as to "Delivery" and the Aeta learners\u27 Creativity, Critical Thinking and Communication Skills and a positive low relationship between the teacher-respondents\u27 applied Delivery and the Aeta learners\u27 Collaboration Skill. Results also show a positive moderate correlation between the Teaching Practices under "Evaluation" and the Creativity, Critical Thinking and Communication Skills of the Aeta learners. Based on the results, the researcher recommended School Administration and Teachers to adopt initiatives and establish good two-way communication, create opportunities to connect, establish a school-wide structured opportunities for parents’ involvement and communicate often about the need for and importance of parental involvement, and teachers must engage students more on learner-centered approach, expose students on experimenting, exploring, questioning, creating assumptions, using analysis, imagination, synthesizing information and evaluation

Entanglement Wedge Reconstruction via Universal Recovery Channels

We apply and extend the theory of universal recovery channels from quantum information theory to address the problem of entanglement wedge reconstruction in AdS/CFT. It has recently been proposed that any low-energy local bulk operators in a CFT boundary region's entanglement wedge can be reconstructed on that boundary region itself. Existing work arguing for this proposal relies on algebraic consequences of the exact equivalence between bulk and boundary relative entropies, namely the theory of operator algebra quantum error correction. However, bulk and boundary relative entropies are only approximately equal in bulk effective field theory, and in similar situations it is known that predictions from exact entropic equalities can be qualitatively incorrect. The framework of universal recovery channels provides a robust demonstration of the entanglement wedge reconstruction conjecture in addition to new physical insights. Most notably, we find that a bulk operator acting in a given boundary region's entanglement wedge can be expressed as the response of the boundary region's modular Hamiltonian to a perturbation of the bulk state in the direction of the bulk operator. This formula can be interpreted as a noncommutative version of Bayes' rule that attempts to undo the noise induced by restricting to only a portion of the boundary, and has an integral representation in terms of modular flows. To reach these conclusions, we extend the theory of universal recovery channels to finite-dimensional operator algebras and demonstrate that recovery channels approximately preserve the multiplicative structure of the operator algebra.Comment: 16 pages, 3 figures. v4: Generalized approximate recovery of 2-point functions to arbitrary correlation functions. Clarified relation to previous work. Added Geoffrey Penington as co-autho

INFO2009 - Team 'DROP TABLE groups;

Edshare for INFO2009 coursework 2 - Team 'DROP TABLE groups