Tuesday, 14 June 2016

OERs: over 4000 views

A selection of the open educational resources that have been released from the School of Science and Technology at the University of Northampton. Based on 14/6/2016 figures.

C Programming
Summary of Evolutionary Algorithms
Pollution And Pollutants
Properties of Ultrasonic Waves
Sustainability: Environmental Business Imperatives


Pollution And Pollutants

Authors: Paul Cox and Nigel Freestone


Pollution is the undesirable introduction of pollutants (contaminants) into the natural environment (land, air and water) and can have an adverse affect on human health. This resource provides an introduction to pollution and pollutants. The classification and distribution of pollutants is also considered. A number of self-assessment questions are provided to allow you to check your new knowledge. The material comes in Word format and its HTML equivalent. The pollutants.htm file includes two images (poll.gif and ld50.gif) and an answers page (SAQ_Answers.htm) related to it that need to be put in the same folder as the pollutants.htm file.

Keywords: UKOER, Environmental Science, Waste Management, Pollution, Pollutants, Environment, Air Pollution, Water Pollution, Pollution Pathways, Toxicity 


The resource found on Jorum at: http://find.jorum.ac.uk/resources/18529 

Properties of Ultrasonic Waves


This material gives the description of the physical processes involved in the propagation of ultrasonic pressure waves as they pass through a material. It includes a mathematical derivation of the amplitude of the transmitted and reflected pressure waves, and an explanation is given for the differences between the near and far zones. This material has been used in the Advanced Inspection Methods and Techniques module as part of the BSc programme in Non-Destructive Testing at the University of Northampton.
Published:  School of Science and Technology, University of Northampton
Keywords: UKOER, Ultrasonic waves, Inspection and testing, Non-destructive testing 

Summary of Evolutionary Algorithms
Click here for the resource: http://find.jorum.ac.uk/resources/19204
These slides are intended for undergraduate computing students, providing an overview of Genetic Algorithms, a concept of in artificial intelligence. As well providing an overview the material also include links to applications via web resources. The slides are taken from an undergraduate artificial intelligence module on the BSc Computing Programme at the University of Northampton. Possible uses of these including support material for second year, third year or masters level course on artificial intelligence.

Click here for the resource: http://find.jorum.ac.uk/resources/19204

C Programming

Click here for the resource: http://find.jorum.ac.uk/resources/19192
In this material you will be introduced to some of the principles of programming, and specifically learn to write fairly simple programs using a programming language called C. An idea central to this material is that programming is about problem solving; you write a program to solve a particular problem. It is hoped that at the end of the material you should see that there is nothing magical or mysterious about programming. One of the features some people like about programming is you are making the computer do what you want. During the programming exercises, do not worry about making mistakes. In this material you will be expected to try out programs and eventually write your own. The target audience is anyone who wants to learn a programming language or is looking for some assessment questions around programming. The material was originally aimed at second year engineering students at the University of Northampton.
Click here for the resource: http://find.jorum.ac.uk/resources/19192


Author: Dr Scott Turner

These mini lectures are intended for undergraduate computing students, for providing simple steps in problem solving before the students learn a programming language. Problem-Solving and Programming is a common first year undergraduate module on the BSc Computing Programme at the University of Northampton. This material was taken from the problem solving part of the module and provides an introduction to five topics in problem-solving.

The resource can be found at: http://find.jorum.ac.uk/resources/19001

Sustainability: Environmental Business Imperatives

Created: 7 July 2014, by School of Science & Technology and Northampton Business School, The University of Northampton
This video outlines the drivers for resource efficiency for business including raw materials scarcity and economic imperatives. The savings that can be made by more efficient use of raw materials, energy and waste are highlighted. Case study examples are given to show how different sectors have achieved resource efficiency and moved towards a circular model of resource use.

All views are the authors, and may not reflect the views of any organisation the author is connected with in any way.All views are the authors, and may not reflect the views of any organisation the author is connected with in any way.
All views are the authors, and may not reflect the views of any organisation the author is connected with in any way.

Wednesday, 1 June 2016

Student experience and programming chapters

Two chapters

Enhancing Computing Student Employability Skills Through Partnership Working in STEM Outreach - Springer:
DOI 10.1007/978-3-319-29166-6_10

Scott Turner

Published in Software Engineering Education Going Agile Part of the series Progress in IS pp 67-71


Student volunteering is growing in the UK and elsewhere, and there is an ongoing debate about whether it is really “self-evidently a ‘good thing’” or there is a greater need for reflection to determine whether this statement is true (Holdsworth and Quinn, Studies in Higher Education35(1), 113–127, 2010). This paper presents a personal reflection of Science, Technology, Engineering and Maths (STEM) volunteering as a potential route to increasing Computing student’s employability.


  • 1.
    STEMNet (2015) Science, Technology, Engineering and Mathematics Network [online] Available at: http://​www.​stemnet.​org.​uk/​ Accessed on: 24thJanuary 2015

  • 2.
    Sinclair J, Allen A, Davis L, Goodchild T, Messenger J, Turner S (2014) "Enhancing student employability skills through partnership working in STEM outreach; the University of Northampton approach " HEA STEM Annual Teaching and Learning Conference 2013: Enhancing the STEM Student Journey, University of Edinburgh, 30th April-1st May 2014

  • 3.
    Holdsworth, C., & Quinn, J. (2010). Student volunteering in English higher education. Studies in Higher Education35(1), 113–127.CrossRef

  • 4.
    Brewis, G., Russell, J., & Holdsworth, C. (2010). Bursting the bubble: Students, volunteering and the community. Research Summary.

  • 5.
    Junkbots (2015) Junkbots [online] Available at: http://​junkbots.​blogspot.​co.​uk/​ Accessed on: 24th January 2015.

  • Review of a Problems-First Approach to First Year Undergraduate Programming - Springer

    Gary J. Hill   

    Published in Software Engineering Education Going Agile Part of the series Progress in IS pp 73-80

    DOI 10.1007/978-3-319-29166-6_11

    This paper, predominantly discusses the teaching of programming and problem solving to undergraduate first year computing students, using robots/robot simulators and visual programming to emulate the robot tasks. The needs to focus initial programming education on problem solving, prior to the teaching of programming syntax and software design methodology is also considered. The main vehicle for this approach is a robot/robot simulation programmed in Java, followed by the programming of a visual representation/simulation to develop programming skills.


    1. 1.
      Beaumont, C., & Fox, C.: Learning programming: Enhancing quality through problem-based learning. In: Proceeding of 4th Annual Conference of the subject centre for Information and Computer Sciences of the Higher Education Academy (pp. 90-95). Newtownabbey, Northern Ireland: Higher Education Academy (2003).
    2. 2.
      Hill G. J., Turner S.: Chapter 7:​ Problems First. In: Software Industry-Oriented Education Practices and Curriculum Development: Experiences and Lessons, M Hussey, X Xu & B Wu (Eds.), IGI Global, USA, pp 110-126, ISBN: 978-1-60960-797-5 (2011).
    3. 3.
      Hill, G., Turner, S. J.: Problems first, second and third. In: International Journal of Quality Assurance in Engineering and Technology Education (IJQAETE). 3(3), pp. 88-109. 2155-496X (2014).
    4. 4.
      Williams, A. B.: The qualitative impact of using Lego Mindstorms robot to teach computer engineering. In: Institute of Electrical and Electronic Engineering (IEEE) Transactions on Education, 46, 206 (2003).
    5. 5.
      Štuikys, V., Burbaitė, R., Damaševičius, R.: Teaching of Computer Science Topics Using Meta-Programming-Based GLOs and LEGO Robots. In: Informatics in Education - An International Journal (Vol12_1), pp125-142 (2013).
    6. 6.
      Kariyawasam, K., A., Turner, S., Hill, G.: Is it Visual? The importance of a Problem Solving Module within a Computing course. In: Computer Education, Volume 10, Issue 166, May 2012, pp. 5-7, ISSN: 1672-5913 (2012).
    7. 7.
      HEA-ICS Development Fund: HEA-ICS Development Fund [online] Available from: http://​www.​ics.​heacademy.​ac.​uk/​projects/​development-fund/​index.​php[Accessed: February 2015] (2015).
    8. 8.
      HEA-ICS/Microsoft Innovative Teaching Fund: Developing problem-solving teaching materials based upon Microsoft Robotics Studio [online] Available from: http://​www.​ics.​heacademy.​ac.​uk/​projects/​development-fund/​fund_​details.​php?​id =​ 88 [Accessed February 2015] (2015).
    9. 9.
      Adams, J. P., & Turner, S. J.: Problem Solving and Creativity for Undergraduate Engineers: process or product? In: International Conference on Innovation, Good Practice and Research in Engineering Education July 14-16, 2008, Loughborough, England, Higher Education Academy. 9781904804659 (2008).
    10. 10.
      Adams, J., Turner, S., Kaczmarczyk, S., Picton, P., & Demian, P.: Problem solving and creativity for undergraduate engineers: Findings of an action research project involving robots. In: International Conference on Engineering Education (ICEE 2008), Budapest, Hungary (2008).
    11. 11.
      Turner S., Hill G. J.: Robots in Problem-Solving and Programming. In: 8th Annual Conference of the Subject Centre for Information and Computer Sciences, University of Southampton, 28th - 30th August 2007, pp 82-85 ISBN 0-978-0-9552005-7-1 (2007).
    12. 12.
      Gallopoulos, E., Houstis, E., Rice, J. R.: Computer as Thinker/Doer. In: Problem-Solving Environments for Computational Science, IEEE Computational Science and Engineering pp 11-23 (1994).
    13. 13.
      Houghton, W.: How can Learning and Teaching Theory assist Engineering Academics? [online] School of Engineering - University of Exeter. Available from: https://​www.​heacademy.​ac.​uk/​sites/​default/​files/​learning-teaching-theory.​pdf [Accessed: November 2015] (2004).
    14. 14.
      Bloom, B. S. (Ed.): Taxonomy of educational objectives. In: Handbook I: Cognitive domain. White Plains, NY: Longman (1956).
    15. 15.
      JICC5: Java & the Internet in the Computing Curriculum, Higher Education Academy (HEA) – Information and Computer Sciences (ICS) Conference, South Bank University, London, 22nd Jan, [online] Available from: http://​www.​ics.​heacademy.​ac.​uk/​events/​displayevent.​php?​id=​127[Accessed: February 2015] (2001).
    16. 16.
      Computing Curricula: IEEE CS, ACM Joint Task Force on Computing Curricula, IEEE Computer Society Press and ACM Press. [online] Available from http://​www.​acm.​org/​education/​curricula.​html [Accessed: February, 2015] (2001).
    17. 17.
      Koulouri, T., Lauria, S., Macredie, R., D.: Teaching introductory programming: A quantitative evaluation of different approaches. In: ACM Trans. Comput. Educ. 14, 4, Article 26 (December 2014), 28 pages, DOI: http://​dx.​doi.​org/​10.​1145/​2662412 (2014).
    18. 18.
      Turner S., Hill G. J.: The Inclusion of Robots Within The Teaching OF Problem Solving: Preliminary Results. In: 7th Annual Conference of the ICS HE Academy, Trinity College, Dublin, 29th - 31st August 2006, Proceedings pg 241-242 ISBN 0-9552005-3-9 (2006).
    19. 19.
      Turner S., Hill G. J.: Robots within the teaching of Problem-Solving. In: ITALICS, HEA-ICS, Volume 7 Issue 1, June 2008, pp. 108-119, ISSN: 1473-7507 (2008).
    20. 20.
      Turner S., Hill G. J.: Innovative Use of Robots and Graphical Programming in Software Education. In: Computer Education, Volume 9, May 2010, pp. 54-6, ISSN: 1672-5913 (2010).
    21. 21.
      Turner S, Hill G, Adams: Robots in problem solving in programming. In: 9th 1-day Teaching of Programming Workshop, University of Bath, 6th April 2009 (2009).
    22. 22.
      Gold. N.: Motivating Students in Software Engineering Group Projects: An Experience Report. In: Innovation in Teaching and Learning in Information and Computer Sciences 9(1), 10-19. DOI: 10.11120/ital.2010.09010010 (2010).
    23. 23.
      Greenfoot: Teach and Learn Java Programming. [online] Available from http://​www.​greenfoot.​org/​ [Accessed: February 1, 2015] (2015).
    24. 24.
      Microsoft: Microsoft robotics studio [online] Available from: http://​msdn2.​microsoft.​com/​en-us/​robotics/​aa731520.​aspx [Accessed: February 2015] (2006).
    25. 25.
      Chickering, A. W., Gamson. Z. F.: Seven Principles for Good Practice in Undergraduate Education. In: AAHE Bulletin 39:3-7. ED 282 491.6 pp. MF-01; PC-01 (1987).
    26. 26.
      Savin-Baden, M. & Wilkie, K.: (eds) Challenging Research in Problem-based Learning. Maidenhead: Open University Press/SRHE (2004).

    To read more go to: Review of a Problems-First Approach to First Year Undergraduate Programming - Springer

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    All views are the authors, and may not reflect the views of any organisation the author is connected with in any way.

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