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If you are imaginative and creative and want to play a part in developing the robots of the future working alongside humans, then you are a future 'cobotisist'
Interested candidates can apply at essex.ac.uk. (Representational Image)
The University of Essex, United Kingdom is set to launch a new course called Bachelor’s in Engineering in Mechatronic Systems – an interdisciplinary field of electrical, mechanical, robotics, electronics, computer engineering, telecommunication systems and product engineering. The three-year undergraduate course will begin from the academic year 2019-20 onwards and the applications process for the same has already begun at the official website — essex.ac.uk. The last date to apply is June 30, 2019.
According to Anthony Vickers, head, School of Computer Science and Electronic Engineering, University of Essex, the course will teach students to design, build and test robotic systems and including the structural frame. The design of the structural frame is the unique element that separates mechatronics from electronic and robotics.
Modules include 3D printing technology, drives and power electronics, computer programming, sensors and digital signal processing, motion control algorithms, computer vision, robotics and embedded systems are also going to be part of the course curriculum.
Talking to indianexpress.com, Vickers said, “If you are imaginative and creative and want to play a part in developing the robots of the future working alongside humans, then you are a future cobotisist”.
“If there is one thing that we can be sure about the 21st century, it is that robots will be with us in increasing numbers. Here in the School of Computer Science and Electronic Engineering at Essex, we like to use the term cobotics — the collaborative working of humans and computers. The new course will align with new research areas within the school, and to provide completeness to our work in cobotics,” he adds.
Who can apply?
Indian students who have completed class 12 or equivalent can apply for the course. The minimum marks required for the course includes an overall average from the four best subjects (excluding PE and local language). For CBSE, CISCE and other regional and national boards, the minimum requirement is 75-70 per cent, including 60 per cent marks in mathematics and 70 per cent in English.
For Karnataka, Madhya Pradesh and Uttar Pradesh boards minimum requirement is 60 per cent, including 60 per cent marks in mathematics. Students who have cleared class 12 from West Bengal board will need 55 per cent marks, including 55 per cent in Mathematics and at least 60 per cent class 10 Science exam.
Placement Scenario
As part of the course, students can undertake a placement year but students will be responsible for finding their placement. The university, told indianexpress.com, that it would ‘support and guide’ them to find a placement. If students complete a placement year they will only pay 20 per cent of their usual tuition fee to Essex for that year.
सीबीएसई ने विद्यार्थियों और अभिभावकों को सभी जरूरी जानकारी से अपडेट रखने के लिए सीबीएसई ने एक नया पॉडकास्ट एप लॉन्च किया है। इस एप का नाम ‘शिक्षा वाणी' है। इसके जरिए अभिभावकों और छात्रों को परीक्षा और उत्तर पुस्तिका के मूल्यांकन से जुड़ी सभी जरूरी जानकारियां दी जाएंगी।
सीबीएसई ने पॉडकास्ट की सुविधा लोगों को सही और जरूरी जानकारियां देने के लिए शुरू की है। इन पॉडकास्ट्स के जरिए लोगों को अकादमिक, ट्रेनिंग और एग्जाम से जुड़ी जरूरी जानकारियां दी जाएंगी। यह एप प्ले स्टोर पर एंड्रॉयड यूजर्स लिए उपलब्ध है। यहां रजिस्टर्ड यूजर्स को नई जानकारी के साथ ऑडियो और वीडियो फाइल मिल जाएंगी। इन्हें सीबीएसई द्वारा अपलोड किया जाएगा।
शिक्षा वाणी एप में छात्रों, अभिभावकों और प्रिंसिपल के लिए अलग-अलग सेक्शन हैं। इससे स्कूल के प्रिंसिपल बोर्ड के दिशा निर्देर्शों को जान सकेंगे। सीबीएसई के ट्रेनिंग एंड स्किल एजुकेशन डायरेक्टर डॉ. बिस्वजीत साहा ने बताया कि यह एप स्कूलों के प्रिंसिपल गूगल प्ले स्टोर से डाउनलोड कर सकते हैं। इससे उनको सीबीएसई द्वारा दी जाने वाली हर जानकारी मिलेगी। अब तक यह वेबसाइट के माध्यम से दी जाती थी, लेकिन अब उनको यह ऑडियो वीडियो के माध्यम से भी दी जाएगी। .
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Artificial Intelligence is drawing a lot of interest from corporates, start-ups and the government because of its potential for business and social transformation. Indian AI sector has seen 18% YoY growth in 2018 and NITI Aayog has also identified five prioritysectors— health, education, agriculture, smart cities and smart mobility in its research paper on National AI Strategy.
Globally, the total economic value derived from AI is predicted to reach USD 3.9 Trillion by 2022. Hence, this is the right time for innovation in AI-based applications for improving the quality of life of rural population of India, especially in primary sectors. TEACHER SHORTAGE Indian village schools suffer from persistent shortage of qualified teachers. Globally, there is a need for 24.4 million primary school teachers to achieve UNESCO’s goal of universal primary education by 2030. In India, although the overall pupilteacher ratio (PTR) has been improving gradually, most of the teachers in rural areas lack proper training.
This is further aggravated by the fact that India has nearly 100,000 schools, mostly in villages, which are single-teacher schools. This impacts PTR negatively and leads to deterioration of learning experience of the students eventually affecting their motivation to attend classes regularly. Under these circumstances, teaching of all subjects, including English, has suffered a lot across schools in villages. This vacuum in rudimentary education is very difficult to fill using skill-based trainings done later. Unless this conundrum is resolved, ensuring employability of a huge segment of population, is going to be a persistent challenge. Hence, there is an urgent need to augment the teaching community at village schools using digital technologies as well as AI . LANGUAGE TEACHING English has emerged as universally accepted “lingua-franca” globally as well as across India. But various surveys have revealed the state of English language skills of Indian students. Especially, among rural students, the situation is worse, and it affects their employability in various customer facing roles across industries. Teaching of English can benefit from various capabilities of NLP (Neuro Linguistic Programming) technique of AI to make it more effective. On one hand, it helps the students to pick up right skills at right pace, and on the other hand, it exposes teachers to emerging digital technologies. WRITING SKILLS Various NLP-based techniques, generated using (machine learning) ML and word processing, can be used to automate the process of teaching writing English to students. For example, automatic detection of incorrect spellings/punctuations, grammatically incorrect phrases or sentences, generating reward points for correctly formed sentences and such. The process can be made more engaging by starting with partially filled paragraph templates on chosen topics, where students work on correctly guessing and filling the blanks by adding words, phrases, sentences appropriately. Another advanced technique namely, words/phrase prediction on partially constructed sentences can help students to fill the gaps/void which they face while writing a paragraph on some topic. Such a model of Automated Assisted Learning (AAL) enables more experimentation, innovative thinking. Even for translation, the process that is a part of a student understanding the subjects, there are NLP models trained on language translation, which includes the relevant dictionary mapping (e.g. Hindi->English). SPEAKING AND READING For most Indian children, spoken English practice follows learning of writing skills. It is also true that many students who acquire good writing skill, still fear speaking in English, which is perceived as essential skill by employers. One way to help young people to come out of this is to engage them in regular English conversation. A chatbot, like Google Personal Assistant, trained on topic-based conversation can really help students to learn speaking English. To start with, the student can try pronouncing individual words correctly (by listening to pronunciation of the chatbot), followed by speaking individual phrases and complete sentences.
As availability of appropriate corpus is an important pre-requisite of building such a learning application, initially such a model can be targeted for teaching English to students speaking most common languages, such as Hindi, Marathi, Bengali, Punjabi or Tamil.
