The Digital University Kerala campus is a place for discovery, alive with debate, both intellectually and physically. Sustainable campus architecture isn’t just a backdrop for what is going on inside the buildings. It is a model for innovation that inspires and keeps the campus’ high aspirations on track.
Find out what it’s like to study, work, and live on one of the most advanced campuses in the God's own Country.
CCS has been established at DUK with an objective to provide specialized training programs to practicing professionals, teachers, and students to widen their knowledge, skills and to enhance career development and employability.
We live in the age of internet proliferation, where there is an abundance of data that are easily accessible to all at just a few clicks away. With rapid advancement of technology, there is greater digitization of data. However, data, in its crude form often lack coherence and context. Data without context can be meaningless and even intimidating at times. If handled without care and proper tools, data can be subject to misinterpretation and misunderstanding. This is where Data Journalism becomes the key.
In simple terms, Data Journalism means journalism done using data. The process of data journalism is not that simple. Data Journalism demands a new set of skills for searching, understanding and visualizing digital sources where basic skills in traditional journalism just are not enough. It is the use of Data Science tools to produce data-driven news stories.
Data means facts. The more the data, the more credibility it renders to the news story. Data can be used to provide deeper insights into what is happening around us and how it might affect us. It is also helps make a complex story more compelling. Using data also means less guesswork and dependence on your traditional sources. An example of creating stories with data, will be creating an insightful story on COVID-19 related deaths for publically available data for example from www.healthdata.org
The two days training program aims to equip journalists with skills such as data mining, data analytics, visualization etc that will enable them to tell their stories in an effective and informative manner. Our faculty members include experts from areas such as data analytics, machine learning, data journalism and coding. This short-duration training with hands-on exercises will provide a foundation for deeper learning into the vast area of data journalism, which is the latest and most discussed approach in news story telling.
By the next two years, a large number of companies around the world will be budgeting for quantum computing projects. The power and growth potential of quantum computing can solve problems that are impossible to solve today.
Discover the potential of quantum computing and don’t be left out of the next biggest computing race. This growing field will need a new generation of experts and technologies, posing a wide range of challenges and business opportunities.
Join this crash course and learn about the emerging area!
The one day introductory program will address the following questions:
Time: 9:30am-5:00pm (Intensive mode, hybrid mode)
Location: Digital University Kerala, Trivandrum
Fees: Rs 7000 (offline), Rs 10000 (online)
Date: 8th, Saturday, Jan 2022
PCBs are literally used in every electronic product. As more and more components are required to be added to the circuit boards, they need to be made compact and efficient. This short course provides you with an overview of multi-layer PCB design, giving an overview of signal integrity tools and analysis
Join this crash course and learn about the emerging area!
The one-day introductory program will address the following questions:
Time: 9:30am-5:00pm (Intensive mode, hybrid mode)
Location: Digital University Kerala, Trivandrum
Fees: Rs 7000 (offline), Rs 10000 (online)
Date: 15th, Saturday, Jan 2022
Neural networks are always inspired from human brain architecture. Brain collects information from the neuron where the learning process occurs by changing the effectiveness of the synapses. Convolutional neural network is a powerful neural network that is used for mainly vision based problems. Let’s understand how similar the brain learns and memories with the training process of CNN.
Join this crash course and learn about the emerging area!
The one day introductory program will address the following questions:
Time: 9:30am-5:00pm (Intensive mode, hybrid mode)
Location: Digital University Kerala, Trivandrum
Fees: Rs 7000 (offline), Rs 10000 (online)
Date: 22nd, Saturday, Jan 2022
The power-hungry IC components have been a hindrance to both miniaturization and microprocessor-based development. The resistance with a memory: MEMRISTOR can be combined into devices called crossbars which can play a major role in future computers, occupying a comparatively smaller area.
In addition to the immense economical impact of memristor, discover why in the long run memristor would find even more industrial applications as nanoscale neuromorphic chips which would outperform current neural networks.
Join this crash course and learn about the new nanoelectronicdevice; very promising for the emerging technologies!
The one day introductory program will address the following questions:
Time: 9:30am-5:00pm (Intensive mode, hybrid mode)
Location: Digital University Kerala, Trivandrum
Fees: Rs 7000 (offline), Rs 10000 (online)
Date: 29th, Saturday, Jan 2022
In today’s world AI is the most demanding topic. The artificial neural network creates a network of interconnected neurons in such a way that they can function in a biological way like the human brain. Neuromorphic systems emulate and simulate the neural network models for real time applications. The short course covers the overview on the recent developments in the rapidly developing field of neuromorphic computing.
Join this crash course and learn about the emerging area!
The one day introductory program will address the following questions:
Time: 9:30am-5:00pm (Intensive mode, hybrid mode)
Location: Digital University Kerala, Trivandrum
Fees: Rs 7000 (offline), Rs 10000 (online)
Date: 5th Feb 2022
