<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://web.resource.org/cc/"><channel><atom:link href="http://unow.nottingham.ac.uk/rss.ashx" rel="self" type="application/rss+xml" /><title>Nottingham U-Now</title><link>http://unow.nottingham.ac.uk</link><description>U-Now is the University of Nottingham's formal open courseware initiative.</description><dc:date>2013-05-23</dc:date><dc:publisher>University of Nottingham</dc:publisher><dc:language>en-gb</dc:language><copyright><![CDATA[Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a <a target="blank" href="http://creativecommons.org/licenses/by-nc-sa/2.0/uk/">Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)</a>]]></copyright><item><category>UNow</category><title>Quantitative economics 2</title><link>http://unow.nottingham.ac.uk/resources/resource.aspx?hid=5049dc25-fcea-b35b-c5fa-354524ce26b3</link><pubDate>Mon, 25 Jul 2011 11:06:36 GMT</pubDate><guid isPermaLink='true'>http://unow.nottingham.ac.uk/resources/resource.aspx?hid=5049dc25-fcea-b35b-c5fa-354524ce26b3</guid><dc:contributor>University Of Nottingham</dc:contributor><dc:type>Course</dc:type><dc:format>application/msword</dc:format><dc:format>text/html</dc:format><dc:language>en-gb</dc:language><dc:relation></dc:relation><dc:rights><![CDATA[Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a <a target="blank" href="http://creativecommons.org/licenses/by-nc-sa/2.0/uk/">Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)</a>]]></dc:rights><cc:license><![CDATA[Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a <a target="blank" href="http://creativecommons.org/licenses/by-nc-sa/2.0/uk/">Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)</a>]]></cc:license><dc:description><![CDATA[As taught Autumn Semester 2010

The module introduces those statistical methods and concepts most applicable in economics. There are no pre-requisites: In particular, no previous knowledge of statistics will be assumed. The analysis of economic data necessarily proceeds in an environment where there is uncertainty about the processes that generated the data. Statistical methods provide a framework for understanding and characterising this uncertainty. 

These concepts are most conveniently introduced through the analysis of single-variable problems. However, economists are most often concerned about relationships among variables. The module builds towards the study of regression analysis, which is often applied by economists in studying such relationships. 

Module Code: L11206 

Year: 2010/11 

Suitable for study at: undergraduate level 1 

Credits: 15 

Method and Frequency of Class: 3 x 1 hour lectures per week, 1 x 1 hour tutorial per week 

Target Students: Economics students only. Available to JYA/Erasmus students. Students are reminded that enrolments which are not agreed by the Offering School in advance may be cancelled without notice. 

Prerequisites: Module L11106 Quantitative Economics I 

Corequisites: None 

Offering School: Economics 
]]></dc:description><description><![CDATA[As taught Autumn Semester 2010

The module introduces those statistical methods and concepts most applicable in economics. There are no pre-requisites: In particular, no previous knowledge of statistics will be assumed. The analysis of economic data necessarily proceeds in an environment where there is uncertainty about the processes that generated the data. Statistical methods provide a framework for understanding and characterising this uncertainty. 

These concepts are most conveniently introduced through the analysis of single-variable problems. However, economists are most often concerned about relationships among variables. The module builds towards the study of regression analysis, which is often applied by economists in studying such relationships. 

Module Code: L11206 

Year: 2010/11 

Suitable for study at: undergraduate level 1 

Credits: 15 

Method and Frequency of Class: 3 x 1 hour lectures per week, 1 x 1 hour tutorial per week 

Target Students: Economics students only. Available to JYA/Erasmus students. Students are reminded that enrolments which are not agreed by the Offering School in advance may be cancelled without notice. 

Prerequisites: Module L11106 Quantitative Economics I 

Corequisites: None 

Offering School: Economics 
]]></description><dc:date>2011-07-25</dc:date><dc:title>Quantitative economics 2</dc:title><dc:creator>Defever Fabrice Dr</dc:creator><dc:publisher>University of Nottingham</dc:publisher><dc:subject>ukoer</dc:subject><dc:subject>L11206</dc:subject><dc:subject>statistics</dc:subject><dc:subject>single-variable</dc:subject><dc:subject>regression analysis</dc:subject></item><item><category>UNow</category><title>Sustainability in the arts and humanities</title><link>http://unow.nottingham.ac.uk/resources/resource.aspx?hid=dcc40763-7e16-1d60-6492-5682fabf5d77</link><pubDate>Thu, 09 Aug 2012 15:08:33 GMT</pubDate><guid isPermaLink='true'>http://unow.nottingham.ac.uk/resources/resource.aspx?hid=dcc40763-7e16-1d60-6492-5682fabf5d77</guid><dc:contributor>University Of Nottingham</dc:contributor><dc:type>Course</dc:type>text/html<dc:language>en-gb</dc:language><dc:relation></dc:relation><dc:rights><![CDATA[Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a <a target="blank" href="http://creativecommons.org/licenses/by-nc-sa/2.0/uk/">Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)</a>]]></dc:rights><cc:license><![CDATA[Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a <a target="blank" href="http://creativecommons.org/licenses/by-nc-sa/2.0/uk/">Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)</a>]]></cc:license><dc:description><![CDATA[The aim of this module is to introduce students to the concept of ‘sustainability’ as perceived from within the Arts and Humanities, in particular within the disciplines of archaeology, classics, history (including art history and landscape history), music, philosophy and theology. The module will review a number of topical issues – such as climate change, food security, water and waste management, landscape, environment and biodiversity – through the lens of the Arts and Humanities to consider how our disciplines can contribute to current debates and offer new routes to sustainable futures. 

It is expected that the module will foster and develop students’ knowledge of issues in sustainability and, by placing evidence in its wider context, encourage students to think critically about possible solutions. Importantly, this module will render students ‘educated consumers’, aware that their daily decisions have an impact and that their choices can be equally influential. Above all it is about giving students the confidence, as individuals, to bring about social change for the future

Dr Naomi Sykes, University of Nottingham

My research focuses on human-animal-landscape relationships and how they inform on the structure, ideology and practice of past societies. My approach is to integrate animal bone data with other categories of material culture, and with wider archaeological, historical, scientific and anthropological discussions. As such, my research has wide geographical and temporal applicability.
]]></dc:description><description><![CDATA[The aim of this module is to introduce students to the concept of ‘sustainability’ as perceived from within the Arts and Humanities, in particular within the disciplines of archaeology, classics, history (including art history and landscape history), music, philosophy and theology. The module will review a number of topical issues – such as climate change, food security, water and waste management, landscape, environment and biodiversity – through the lens of the Arts and Humanities to consider how our disciplines can contribute to current debates and offer new routes to sustainable futures. 

It is expected that the module will foster and develop students’ knowledge of issues in sustainability and, by placing evidence in its wider context, encourage students to think critically about possible solutions. Importantly, this module will render students ‘educated consumers’, aware that their daily decisions have an impact and that their choices can be equally influential. Above all it is about giving students the confidence, as individuals, to bring about social change for the future

Dr Naomi Sykes, University of Nottingham

My research focuses on human-animal-landscape relationships and how they inform on the structure, ideology and practice of past societies. My approach is to integrate animal bone data with other categories of material culture, and with wider archaeological, historical, scientific and anthropological discussions. As such, my research has wide geographical and temporal applicability.
]]></description><dc:date>2012-08-09</dc:date><dc:title>Sustainability in the arts and humanities</dc:title><dc:creator>Sykes Naomi Dr</dc:creator><dc:publisher>University of Nottingham</dc:publisher><dc:subject>UKOER</dc:subject><dc:subject>Archaeology</dc:subject><dc:subject>Sustainability</dc:subject><dc:subject>Nottingham</dc:subject></item></channel></rss>