Hands-On Laboratory Class for Biopharmaceutical pDNA Quality Control

2022 ◽  
Author(s):  
Ângela Sousa ◽  
Ana Margarida Almeida ◽  
Joana Valente ◽  
João Queiroz ◽  
Fani Sousa
Keyword(s):  
Quality Control ◽  
Laboratory Class ◽  
Hands On

A Computer-Generated ‘Pseudo-Experiment’ in Fluid Mechanics

2003 ◽  
Vol 31 (2) ◽  
pp. 143-149 ◽  
Author(s):  
R. C. F. Dye
Keyword(s):  
Fluid Mechanics ◽  
Academic Staff ◽  
Individual Student ◽  
Random Errors ◽  
Additional Advantage ◽  
Significant Saving ◽  
Laboratory Class ◽  
Hands On ◽  
Undergraduate Laboratory ◽  
Full Discussion

The paper presents experience in setting up and running a computer-based alternative to a traditional undergraduate laboratory class as part of an introductory course in fluid mechanics. The ‘pseudo-experiment’ is not a computer simulation but provides each individual student with a realistic set of experimental readings (including likely random errors) for a real set of apparatus on which they have earlier conducted a real ‘hands-on’ experiment, and which was available for them to inspect or operate in their own time. Students were expected to process the results supplied and then write the usual form of full report on the experiment, including of course a full discussion of the results obtained. The results the students obtained were very close to what would have been obtained by real measurement at the flow rate given, and the inclusion of a realistic level of random error ensured that these results varied slightly from student to student, thus inhibiting copying of work. The arrangement eased timetabling problems and provided a significant saving in academic resource while retaining many of the advantages of a real hands-on laboratory class, and enhanced the students' educational experience compared with earlier arrangements. An additional advantage of the system adopted was that each student's correct calculated output was exactly known so that marking could be undertaken by paid postgraduate assistants rather than academic staff.

scholarly journals Creating And Working With Control Charts In Excel

2016 ◽  
Vol 10 (1) ◽  
pp. 23-44
Author(s):  
Paul F. Schikora
Keyword(s):  
Distance Education ◽  
Quality Control ◽  
Control Charts ◽  
Theoretical Basis ◽  
Effective Control ◽  
Interactive Mode ◽  
Quality Control Charts ◽  
Hands On ◽  
Problem Data ◽  
The Web

With the growth in distance education offerings, instructors who now teach quantitative material via the web have been faced with many challenges.  Foremost has been the need to develop appropriate methods for teaching such material to students who are not physically in the classroom.  Methodologies that have traditionally been taught in a highly interactive mode in the classroom must now be presented effectively in a far more asynchronous environment.  Tutorials and detailed handouts are one way to accomplish this. We present a written tutorial for creating quality control charts using Excel.  The tutorial guides students through the process of creating X-bar and R charts in such a way as to reinforce the theoretical basis of quality control already taught.  Students apply their knowledge in hands-on activity, learn how to improve Excel’s default charts to create visually effective control charts, and learn to reuse/recycle their work to easily create additional charts for different sets of problem data.

scholarly journals Authentic Student Laboratory Classes in Science Education

2018 ◽  
Author(s):  
Jurgen Schulte
Keyword(s):  
Learning Experience ◽  
Student Interactions ◽  
Minimum Requirement ◽  
Teacher Student ◽  
Laboratory Class ◽  
Hands On ◽  
Science Laboratories ◽  
Industry Engagement ◽  
Student Laboratory ◽  
Laboratory Experiences

The traditional hands-on nature in science laboratory classes creates a sense of immediacy and presence of authenticity in such learning experiences. The handling of physical objects in a laboratory class and the immediate responses provided by the experiments are certainly real-live observations, yet may be far from instilling an authentic learning experience in students. This paper explores the presence of authenticity in hands-on laboratory classes in introductory science laboratories. With our own laboratory program as backdrop we introduce four general types of hands-on laboratory experiences and assign degrees of authenticity according the processes and student engagement associated with them. In that course, we present a newly developed type of hands-on experiment which takes a somewhat different view of the concept of hands-on in a laboratory class. A proxemics-based study of teacher-student interactions in the hands-on laboratory classes presents us with some insights into the design of the different types of laboratory classes and the pedagogical presumptions we made. A step-by-step guide on how to embed industry engagement in the curriculum and the design of an authentic laboratory program is presented to highlight some minimum requirement for the sustainability of such program and pitfalls to avoid.

scholarly journals Authentic Student Laboratory Classes in Science Education

2018 ◽  
Author(s):  
Jurgen Schulte
Keyword(s):  
Learning Experience ◽  
Student Interactions ◽  
Minimum Requirement ◽  
Teacher Student ◽  
Laboratory Class ◽  
Hands On ◽  
Science Laboratories ◽  
Industry Engagement ◽  
Student Laboratory ◽  
Laboratory Experiences

The traditional hands-on nature in science laboratory classes creates a sense of immediacy and a presence of authenticity in such learning experiences. The handling of physical objects in a laboratory class, and the immediate responses provided by these experiments, are certainly real-live observations, yet may be far from instilling an authentic learning experience in students. This paper explores the presence of authenticity in hands-on laboratory classes in introductory science laboratories. With our own laboratory program as a backdrop we introduce four general types of hands-on laboratory experiences and assign degrees of authenticity according the processes and student engagement associated with them. We present a newly developed type of hands-on experiment which takes a somewhat different view of the concept of hands-on in a laboratory class. A proxemics-based study of teacher-student interactions in the hands-on laboratory classes presents us with some insights into the design of the different types of laboratory classes and the pedagogical presumptions we made. A step-by-step guide on how to embed industry engagement in the curriculum and the design of an authentic laboratory program is presented to highlight some minimum requirement for the sustainability of such program and pitfalls to avoid.

scholarly journals Resource Modelling for the QC Laboratory at XYZ Pharmaceuticals in Southern Africa

2021 ◽  
Author(s):  
Ngonidzashe Portia Munhuweyi ◽  
Zita Ekeocha ◽  
Stephen Robert Byrn ◽  
Kari L Clase
Keyword(s):  
Quality Control ◽  
Southern Africa ◽  
Cost Effective ◽  
Calculation Model ◽  
Resource Model ◽  
Product Families ◽  
Hands On ◽  
Drug Manufacturing ◽  
Critical Components ◽  
Resource Modelling

Quality control (QC) laboratories are critical components in drug manufacturing and running them efficiently contributes to better, consistent supply of cost-effective quality products, while also and preventing deaths due to untimely delivery or unavailability of medicines. Having a resource modelling tool to estimate resources needed to handle a particular demand in a given system is essential for efficient running of QC laboratory. This study was done to establish such a model at XYZ Pharmaceuticals. The list of all products manufactured by XYZ Pharmaceuticals Southern Africa was reviewed; and product families for all products were identified. Analysts’ hands on time (HOT) to process one sample of each of the product families was estimated. The number of analysts required to support the workload at XYZ Pharmaceuticals was calculated using the HOTs for the different product families and the Maslaton’s Calculation Model. A baseline resource model was established.

Assessing Engineering Students’ Practical Intelligence as the Outcome of Performing ‘hands-on’ Laboratory Classes

2013 ◽  
Vol 64 (1) ◽  
Author(s):  
Zol Bahri Razali ◽  
James Trevelyan
Keyword(s):  
Engineering Students ◽  
Opportunity To Learn ◽  
Practical Intelligence ◽  
Expert Rating ◽  
Laboratory Class ◽  
Hands On ◽  
The Difference

Experience in an engineering laboratory is important for engineering students and expected to enhance understanding of engineering concepts for which they have learned the theory. Although the aim of the laboratory is an opportunity to learn and gain experience or practical intelligence (PI), the authors do not know much about what actually happens in a typical laboratory class. The development of practical intelligence is expected to be happened when students are performing tasks in the laboratory exercises and they may possibly be able to detect and solve problems or diagnose faults in similar equipment. Thus the purpose of this study is to assess students’ practical intelligence as the outcome of performing laboratory exercises and relating to the ability to diagnose equipment faults. Comparison of novel-expert rating approach is used in this study. The findings demonstrated that practical intelligence can be measured by calculating the difference between students’ ratings and the experts’ ratings. 

scholarly journals Quality Control of Structural MRI Images Applied Using FreeSurfer—A Hands-On Workflow to Rate Motion Artifacts

2016 ◽  
Vol 10 ◽  
Author(s):  
Lea L. Backhausen ◽  
Megan M. Herting ◽  
Judith Buse ◽  
Veit Roessner ◽  
Michael N. Smolka ◽  
...  
Keyword(s):  
Quality Control ◽  
Structural Mri ◽  
Motion Artifacts ◽  
Hands On

The Instructional SEM Laboratory at Iowa State University

1996 ◽  
Vol 54 ◽  
pp. 396-397
Author(s):  
L. S. Chumbley ◽  
M. Meyer ◽  
K. Fredrickson ◽  
F.C. Laabs
Keyword(s):  
Materials Science ◽  
Computer Network ◽  
Energy Dispersive Spectrometer ◽  
Computer Control ◽  
State University ◽  
Iowa State University ◽  
Internet Server ◽  
Schematic Layout ◽  
Hands On ◽  
Improve Instruction

The Materials Science Department at Iowa State University has developed a laboratory designed to improve instruction in the use of the scanning electron microscope (SEM). The laboratory makes use of a computer network and a series of remote workstations in a classroom setting to provide students with increased hands-on access to the SEM. The laboratory has also been equipped such that distance learning via the internet can be achieved.A view of the laboratory is shown in Figure 1. The laboratory consists of a JEOL 6100 SEM, a Macintosh Quadra computer that acts as a server for the network and controls the energy dispersive spectrometer (EDS), four Macintosh computers that act as remote workstations, and a fifth Macintosh that acts as an internet server. A schematic layout of the classroom is shown in Figure 2. The workstations are connected directly to the SEM to allow joystick and computer control of the microscope. An ethernet connection between the Quadra and the workstations allows students seated there to operate the EDS. Control of the microscope and joystick is passed between the workstations by a switch-box assembly that resides at the microscope console. When the switch-box assembly is activated a direct serial line is established between the specified workstation and the microscope via the SEM’s RS-232.

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