Difference between revisions of "Department of Physical Sciences, Meru University of Science and Technology (MUST)"
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| − | = Meru University of Science and Technology = | + | = About Meru University of Science and Technology = |
Meru University of Science and Technology (MUST) is a young public university in Meru County of the Republic of Kenya having been chartered in March 2013 established under The Universities Act of 2012. Prior to the University status, MUST was a constituent college of Jomo Kenyatta University of Agriculture and Technology (JKUAT). | Meru University of Science and Technology (MUST) is a young public university in Meru County of the Republic of Kenya having been chartered in March 2013 established under The Universities Act of 2012. Prior to the University status, MUST was a constituent college of Jomo Kenyatta University of Agriculture and Technology (JKUAT). | ||
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| + | = Meru University of Science and Technology Raspberry Pi Project = | ||
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| + | Meru University of Science and Technology has won a KENET Raspberry mini grant. This project is geared towards using a credit size gadget called Raspberry Pi (RPI) to teach computational units in the University. Raspberry Pi is a small device that was developed for teaching Computer Science in schools. Besides being portable, RPI is affordable and can be easily interfaced with the outside and used to perform automation projects. | ||
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| + | As a pilot project, we will use RPI to teach three computational units on offer in the university during the April - August 2015 semester. We will also be conducting RPI related projects with an aim of publishing the results in referred journals. Students will be encouraged to develop their own projects using the pi and eventually showcase them within the University and other forums organized by RPI stake holders. Read more. | ||
== Executive Summary == | == Executive Summary == | ||
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The University currently has four teaching computer laboratories fully connected to the internet. One of these computer labs will be used to establish a Raspberry pi based teaching laboratory. Facilities such as computer monitors, USB keyboards and mice, internet connectivity and computer desks will be shared by the existing PCs and the Raspberry Pi modules to be acquired. A suitable mode of embedding the Raspberry Pi modules in the system unit will be adopted. | The University currently has four teaching computer laboratories fully connected to the internet. One of these computer labs will be used to establish a Raspberry pi based teaching laboratory. Facilities such as computer monitors, USB keyboards and mice, internet connectivity and computer desks will be shared by the existing PCs and the Raspberry Pi modules to be acquired. A suitable mode of embedding the Raspberry Pi modules in the system unit will be adopted. | ||
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| + | == Meru University RPI team first training == | ||
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| + | On 2<sup>nd</sup> march 2015 RPI project team underwent their first training on getting started with RPI. The course focused on the key components of the Pi, downloading and load the Raspbian (Raspberry Pi official OS) to the SD card, powering up the Pi, configuring the pi OS, launching basic Pi applications for word processing, spread sheet, presentation and internet browsing. Members were also introduced to Python programming using the Python IDE which comes with Raspbian. | ||
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| + | == Launch of RPI to Computing students == | ||
| + | |||
| + | On 15<sup>th</sup> March 2015, the Meru University RPI team introduced RPI to computer science students. The students were explained the capabilities of the gadgets with demonstrations. In this meeting students resolved to organize themselves into groups to learn and develop more RPI applications. | ||
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| + | == RPI related projects in progress == | ||
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| + | === RPI imaging module for crop stress monitoring === | ||
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| + | We are developing a system for detecting crop stress in green houses using Raspberry imaging module. The module comprises of the RPI connected to RPI camera. An executable Linux script for periodically taking photos is written and incorporated to the Linux task scheduler (cron) so that upon reboot the pi starts taking photos after a specified period. The system is powered by solar. So far the imaging module is complete and has been tested in the green house and has been found to be working fine. We are now working on suitable algorithms for processing the images captured for stress. We intend to use python and open CV imaging processing library to accomplish the task. | ||
Revision as of 23:13, 1 April 2015
Contents
About Meru University of Science and Technology
Meru University of Science and Technology (MUST) is a young public university in Meru County of the Republic of Kenya having been chartered in March 2013 established under The Universities Act of 2012. Prior to the University status, MUST was a constituent college of Jomo Kenyatta University of Agriculture and Technology (JKUAT).
Meru University of Science and Technology Raspberry Pi Project
Meru University of Science and Technology has won a KENET Raspberry mini grant. This project is geared towards using a credit size gadget called Raspberry Pi (RPI) to teach computational units in the University. Raspberry Pi is a small device that was developed for teaching Computer Science in schools. Besides being portable, RPI is affordable and can be easily interfaced with the outside and used to perform automation projects.
As a pilot project, we will use RPI to teach three computational units on offer in the university during the April - August 2015 semester. We will also be conducting RPI related projects with an aim of publishing the results in referred journals. Students will be encouraged to develop their own projects using the pi and eventually showcase them within the University and other forums organized by RPI stake holders. Read more.
Executive Summary
The overall objective is to establish a Raspberry Pi teaching Laboratory in Meru University of Science and Technology (MUST). To achieve this a minimum of three computational units will be used to pilot the use of Raspberry Pi in teaching. Instructional manuals for teaching these units using Raspberry Pi will be developed and provided to the students. Student learning outcomes will be assessed throughout the semester. Publications regarding novel findings observed in the pilot stage will be presented in a refereed conference. Prior to the grant the university had already acquired a number of Raspberry Pi units and its accessories, developed exhibits of how Raspberry Pi can be used for teaching computer related courses in schools and showcased the projects in Commission for University Education exhibitions and ASK shows. Work is also in progress to develop a security surveillance system and an electronic device for early detection of crop diseases and other plant stress using Raspberry Pi. Upon successful completion of the pilot stage the university will upscale the use of Raspberry Pi in teaching more courses and launch a campaign for popularizing the adoption of Raspberry Pi in teaching computer related course in tertiary institutions of learning, secondary and primary schools within the environs of the university.
Team Members
- Mr. Daniel Maitethia Memeu - Department of Physical Sciences - Lead Researcher
- Mr. Ronoh Wycliffe – Department of Information Technology & Computer Science - Team member
- Mr. Abkul Orto - Department of Information Technology & Computer Science - Team member
- Mr. Kinuthia Mugi – Department of Engineering - Team member
Methodology of Implementation and Assessment
The University currently has four teaching computer laboratories fully connected to the internet. One of these computer labs will be used to establish a Raspberry pi based teaching laboratory. Facilities such as computer monitors, USB keyboards and mice, internet connectivity and computer desks will be shared by the existing PCs and the Raspberry Pi modules to be acquired. A suitable mode of embedding the Raspberry Pi modules in the system unit will be adopted.
Meru University RPI team first training
On 2nd march 2015 RPI project team underwent their first training on getting started with RPI. The course focused on the key components of the Pi, downloading and load the Raspbian (Raspberry Pi official OS) to the SD card, powering up the Pi, configuring the pi OS, launching basic Pi applications for word processing, spread sheet, presentation and internet browsing. Members were also introduced to Python programming using the Python IDE which comes with Raspbian.
Launch of RPI to Computing students
On 15th March 2015, the Meru University RPI team introduced RPI to computer science students. The students were explained the capabilities of the gadgets with demonstrations. In this meeting students resolved to organize themselves into groups to learn and develop more RPI applications.
RPI imaging module for crop stress monitoring
We are developing a system for detecting crop stress in green houses using Raspberry imaging module. The module comprises of the RPI connected to RPI camera. An executable Linux script for periodically taking photos is written and incorporated to the Linux task scheduler (cron) so that upon reboot the pi starts taking photos after a specified period. The system is powered by solar. So far the imaging module is complete and has been tested in the green house and has been found to be working fine. We are now working on suitable algorithms for processing the images captured for stress. We intend to use python and open CV imaging processing library to accomplish the task.
