Centre for Continuing Studies

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.

EVENTS

Venue : Digital University Campus, Technopark Phase-IV, Thiruvananthapuram, Kerala
Data Journalism

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.

Why Data Journalism?

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

How the training program will help?

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.

Training schedule
Day 1
TimeTentative TopicSuggested faculty members
9.30- 9.50 AMInauguration and course outline
9.50-10.30 AMKeynoteProf Saji Gopinath, VC, DUK (https://duk.ac.in/personnel/vice-chancellor/)
10.30-10.45 AMTea Break
10.45 -1.00 PMIntroduction to Data JournalismProf Devadas Rajaram, Professor, Asian College of Journalism, Chennai (https://www.linkedin.com/in/devadasrajaram/)
Lunch Break
1.45- 3.00 PMScraping Data from the WebMr Thejesh G N, Cofounder and Chairman-Datameet (https://thejeshgn.com/about/)
3.00-3.15 PMTea Break
3.15-4.15 PMFinding and collecting dataMr Thejesh G N, Cofounder and Chairman-Datameet (https://thejeshgn.com/about/)
4.15-5.15 PMData Cleaning and Text AnalyticsProf Manoj T K, Head, School of Digital Sciences, DUK (https://duk.ac.in/personnel/dr-t-k-manoj-kumar/)
5.15-5.30 PMTea Break
5.45-8.00 PMHands-on trainingMr Sunil Prabhakar, Consultant,Mathrubhumi (https://www.linkedin.com/in/prabhakar-sunil/)
DINNER
Day 2
TimeTentative TopicPossible faculty members
9.30 – 10.30 AMData Privacy and EthicsProf Asharaf S, Dean (R&D), DUK (https://duk.ac.in/personnel/dr-asharaf-s/)
10.30-10.45 AMTea Break
10.45 -11.45 AMFinding the story in the dataRukmini S, Data Journalist and Author (https://sigmaawards.org/rukmini-s/)
11.45 – 1.00 PMFinding the story in the dataRukmini S, Data Journalist and Author (https://sigmaawards.org/rukmini-s/)
1.00 – 2.00 PMLunch Break
2.00 – 3.00 PMData and Evidence Collection strategiesBhanupriya Rao, Data Journalist and founder of Behanbox (https://www.linkedin.com/in/bhanupriya-rao-0697859/)
3.00-3.15 PMTea Break
3.15-7.00 PMHands on trainingSunil Prabhakar, Consultant,Mathrubhumi
7.00- 7.30 PMConcluding session and feedback
DINNER
  • If interested, please email eep@duk.ac.in

SHORT COURSES

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!

Program details:

The one day introductory program will address the following questions:

  • Introduction to quantum computers – what is so special about them?
  • What are quantum algorithms?
  • How is quantum computing different from classical computing?
  • How to simulate quantum systems?
  • What are the business and technological possibilities with quantum computing?

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!

Program details:

The one-day introductory program will address the following questions:

  • Introduction to PCB design
  • What are the design considerations for PCB design?
  • Introducing the tool for PCB design and its libraries.
  • How to draw schematic design and board routing for multilayer PCB?
  • PCB design for simple IoT sensors, Audio amplifier
  • Signal integrity analysis for the designed PCB

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!

Program details:

The one day introductory program will address the following questions:

  • Understanding the computing analogy of the human brain-how the brain works?
  • How similar are neural networks to the brain?
  • What is CNN architecture and how is it working?
  • CNN architectures and its variants
  • How to train for a vision based problem?

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!

Program details:

The one day introductory program will address the following questions:

  • Demystifying Chua’s Memristor model!
  • Is memristor considered as the fourth basic circuit element? Why is it referred to as a memory resistor?
  • How can memristors shape the neuromorphic computing paradigm?
  • How to simulate neuromorphic systems using memristors?
  • How the ever growing AI sectors have resulted in a booming market of memristors?

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!

Program details:

The one day introductory program will address the following questions:

  • What is Neuromorphic engineering?
  • How to combine AI and neuromorphic computing?
  • Neuromorhic computers vs GPUs & CPUs
  • What is the impact of Neuromorphic chips in the AI market?

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