Time Effective Logistics of Hybrid Image Processing Course and Laboratory

S. Kosolapov
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Abstract

In “pre-COVID 19” time, Braude Academic College of Engineering students enrolled in the course “Image Processing”, visited frontal lectures, and, additionally, participated in the laboratories provided in the class equipped with computers. During the laboratories, students (organized in small groups – preferably by pairs) were asked to implement several image-processing algorithms explained during frontal lectures. In the frames of this course, C, C++, and C# languages are used to write code. Specifically, to write the code, students used computers with Windows 10 and Visual Studio installed. Additionally, students were asked to prepare a PowerPoint presentation, in which they were asked to analyze the results obtained. During the in-campus laboratory, students were free to ask for help, and, in case of need, the educator provided relevant explanations. When the report was ready, students demonstrated the presentation and the working code to the educator. The grading policy was that if the presentation was good enough, and if students reasonably answered the questions, they got a high grade. As a backup, students E-Mailed a presentation and the code by using a special format developed specifically for that course. Because of COVID-19 limitations, during three semesters logistics of the lectures and laboratories were changed, and, as lectures, as laboratories were provided online by using cloud services like ZOOM and Gmail. It so happens, that semester 2021-10 – 2022-03 was started as an online semester, but after three weeks, it became a hydride semester: lectures and laboratories were provided in-campus, but students had the right to stay at home and continue to use cloud services including ZOOM and Email. This change created a number of logistics problems, and, thus, some modifications were provided in an attempt to ensure fair and non-biased grading as for the students who were physically present during the lectures and laboratories, as for the students who participated remotely. In the frames of this course, each group of students prepared a set of assignment reports and two micro-project presentations. Additionally, students physically present in the class, participated in the short nonobligatory micro-exams. This paper discusses logistics decisions and their effect on the quality of the students’ micro exams, assignments reports, and presentations. Keywords: hybrid laboratory, STEM, image processing
时间有效物流混合图像处理课程与实验
在“pre-COVID”时期,Braude学术工程学院的学生参加了“图像处理”课程,参观了正面讲座,并参加了配备计算机的班级提供的实验室。在实验中,学生们(以小组为单位——最好是两人一组)被要求实现在正面讲座中解释的几种图像处理算法。在本课程的框架中,使用C, c++和c#语言编写代码。具体来说,为了编写代码,学生们使用了安装了Windows 10和Visual Studio的计算机。此外,学生们被要求准备一份ppt,在ppt中他们被要求分析所获得的结果。在校内实验期间,学生可以自由地寻求帮助,在需要的情况下,教师会提供相关的解释。当报告准备好后,学生们向教师演示演示文稿和工作代码。评分政策是,如果演讲足够好,如果学生合理地回答了问题,他们就会得到高分。作为备份,学生们用一种专门为这门课程开发的特殊格式,用电子邮件发送了一份演示文稿和代码。由于新冠肺炎疫情的限制,在三个学期期间,讲座和实验室的后勤工作发生了变化,并通过ZOOM和Gmail等云服务在线提供讲座和实验室。碰巧的是,2021-10 - 2022-03学期一开始是在线学期,但三周后,它变成了一个氢化学期:课堂和实验室在校园提供,但学生有权呆在家里,继续使用包括ZOOM和Email在内的云服务。这一变化造成了一些后勤问题,因此,为了确保在讲课和实验室期间亲自在场的学生和远程参与的学生的评分公平和无偏见,进行了一些修改。在本课程的框架内,每组学生准备了一套作业报告和两个微项目演示。此外,学生在课堂上亲自出席,参加了短暂的非强制性微考试。本文讨论了后勤决策及其对学生微考、作业报告和演讲质量的影响。关键词:混合实验室,STEM,图像处理
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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