Informatics Publishing Limited

Shivashankar Huddar ¹, Prashant Achari ¹, Sanjay Eligar ¹, Uma Mudenagudi ¹, Nalini Iyer ¹, A. B. Raju ¹, Arun Giriyapur ¹, B. B. Kotturshettar ¹, Nitin Kulkarni ¹, Ashok Shettar ¹

Affiliations
1 B.V. B College Of Engineering And Technology, Hubli, Karnataka 580031, IN

Abstract

This paper discusses enhancement in development of project-based 'product design and realization (PDR)' course for undergraduate students. The course offered at an early stage of the curriculum is aimed at providing engineering design and product realization skills to the students. Creating an appropriate learning experience in product design is challenging owing to its multidisciplinary nature. An innovative multidisciplinary design-to-realization approach is adopted in this course and student teams are required to design and build working prototypes for predefi ned products. This course brings a new perspective to the multidisciplinary approach to teaching product design. Introduction of project based design experience at an early level provides students with an opportunity to develop capabilities to design complex systems in the future. PDR (a 3 credit course) introduced to electrical and mechanical sciences students (EC, EE, IT, IP, A&R, ME) at fourth semester (2nd year) level of engineering in BVBCET, Hubli. The implementation of course is analyzed with respect to attainment of the outcomes (ABET a-k). Also to illustrate the success of the course, the work of students in the form of Product at the end of course is included in results for validation.

Keywords

Design, Electrical and Mechanical Sciences, Outcomes (ABETa-k).

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Uma Mudenagudi ¹, Ujwala Patil ¹, C. Sujata ¹, G. Shankar ¹, Ramesh Ashok Tabib ¹, P. G. Tewari ¹, B. L. Desai ¹, Ashok Shettar ¹

Affiliations
1 KLE Technological University (Earlier known as BVBCET), Vidyanagar, Hubballi-580031, IN

Abstract

In this paper, we discuss the role of summer and winter workshops conducted during vacations in student learning. This is a story of conducting summer and winter workshops, which lead to two student's start-ups. The main goal of the workshop is to make students learn the basics of image processing (IP), computer vision (CV) and computer graphics (CG), so that students are ready to take up real time projects. The workshop is conducted in two phases, two weeks of conceptual learning with hands-on experience with tools, and four weeks of project phase. We observe this workshop is effective in learning the course beyond classroom teaching, as they explore the literature for state of art and design alternative solutions for the real time problems. Summer workshops are conducted during June- July and around 600 students are trained with the help of nine workshops till date.

Keywords

Summer Workshop, Startups.

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Uma Mudenagudi ¹, Ujwala Patil ¹, Suneeta Budihal ¹, Ramesh Ashok Tabib ¹, M. Shruti ¹, C. Satish ¹, Nalini Iyer ¹, Ashok Shettar ¹

Affiliations
1 KLE Technological University, Vidyanagar, Hubballi - 580031, IN

Abstract

In this paper, we share our experience of introducing data analytics and visualization for students of electrical sciences through Machine Learning course. Typically, electrical science students face challenges in handling and visualizing huge data and its analysis as there is a limited scope in the curriculum. During the discussion with research and development centers of different industries and institutes we found the gap in curriculum, and towards this, we designed the Machine Learning course to introduce data analytics and visualization, and state of art machine learning tool for students of electrical sciences. The course is designed with different levels of exercises and activities to support their learning. Exercises were designed to support conceptual learning and were extended as activities towards solving a given problem. The course project was designed as an extended activity considering problems from online challenges and contests/hackathon towards enhancing their learning beyond the curriculum. The outcome of the course was motivating as industry people appreciated the learning through evaluation.

Keywords

Machine Learning, Visualization, Hackathon, Activities, Online Challenges.

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