SONET stands for School Of New & Emerging Technologies. Under this programme the following courses are offered:
This course provides the concepts of various Images processing techniques for Biomedical Images, Machine Learning approach for Bio-Medical Images Processing followed by computational implementation of those techniques using Python Programming Language.
Lead faculty | Assisting faculty |
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Dr.Devika Rubi | Swetha Merugu |
70 Students trained
10 students got internship for BIRAC-Funded Project
The widespread popularity of digital cryptocurrencies has led the foundation of Blockchain, which is fundamentally a public digital ledger to share information in a trustworthy and secure way. The concept and applications of Blockchain have now spread from cryptocurrencies to various other domains, including business process management, smart contracts, IoT and so on. This course targets to cover both the conceptual as well as application aspects of Blockchain. This includes the fundamental design and architectural primitives of Blockchain, the system and the security aspects, along with various use cases from different application domains.
Lead faculty | Assisting faculty |
---|---|
Sireesha Puppala | Shanker Macha |
** The training was conducted for 2nd and 3rd year students who were from CSE and IT departments.
S.No | Semester | Department | Students Trained |
---|---|---|---|
1 | 2019- Sem1 | CSE | 36 |
2 | 2019- Sem1 | IT | 6 |
3 | 2019- Sem2 | CSE | 41 |
4 | 2019- Sem2 | IT | 9 |
Total | 92 | ||
Total Certified | 62 |
Ethical hacking is a subject that has become very important in the present-day context, and can help individuals and organizations to adopt safe practices and usage of their IT infrastructure. Starting from the basic topics like networking, network security and cryptography, the course covers various attacks and vulnerabilities and ways to secure them with hands-on demonstrations that will be helpful to students.
Lead faculty | Assisting faculty |
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Srikanth Reddy | A V Nagireddy |
Front end web development, with server-side support, for implementing a multi-platform solution using HTML5, Bootstrap, NodeJs, Angular
Lead faculty |
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Pooja Godse & Sireesha Puppala |
Objective-C is the best choice for developers who want to develop iOS and OS X apps. Get the tools needed, learn the structure of Objective-C, and get your first code up and running. Course walks you through the Foundation framework, a collection of prewritten code that makes the coding process easier; shows you how to design and build your own classes; and provides memory management techniques—the key to efficient programming. Plus, learn how to make your way around Xcode 11, the app to write, test, and debug Objective-C.
Lead faculty | Assisting faculty |
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T Srikanth Reddy | A V Nagireddy |
This course focuses on the shared memory programming paradigm. It covers concepts & programming principles involved in developing scalable parallel applications. Assignments focus on writing scalable programs for multi-core architectures using OpenMP and C. This is an introductory course in shared memory parallel programming suitable for computer science as well as non-computer science students working on parallel/HPC applications and interested in parallel programming. The training was conducted for 52 2rd year students who were from CSE and IT departments and 30 got certified.
Lead faculty | Assisting faculty |
---|---|
Pooja Godse | Sudhakar |
IoT is an Internet technology connecting devices, machines and tools to the internet by means of wireless technologies like bluetooth, wifi. Students get to work with various sensors and actuators and develop mobile applications using MIT app inventor and finally establish communication between the devices using Firebase cloud service.
Lead faculty |
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Fatima |
This course starts with advanced concepts of python like Numpy, Pandas, Matplotlib and forwarded to Machine learning algorithms such as Linear Regression for predictions, Classification with Logistic Regression. It also covers the advanced concepts Decision Trees, Random Forest and Support Vector Machines(SVM).
Lead faculty | Assisting faculty |
---|---|
M Narsimlu & Ajeet Jain | Swetha Merugu |
37 students got NPTEL certified
With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. This course introduces some of the basic concepts of machine learning from a mathematical motivated perspective and covers different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.
Lead faculty | Assisting faculty |
---|---|
Balarama Murthy & Ajeet Jain | Swetha Merugu |
> 97 % Passed the NPTEL exam
MEAN stack course is a collection of JavaScript based technologies used to develop web applications. MEAN is an acronym for MongoDB, ExpressJS, AngularJS and Node.
Lead faculty |
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T Srikanth Reddy & Sireesha Puppala |
Python is one of the top 10 popular programming languages. It is a general purpose and high level programming language. Python is used for developing desktop GUI applications, websites and web applications. Python, as a high level programming language, allows you to focus on core functionality of the application by taking care of common programming tasks. The simple syntax rules of the programming language further makes it easier for you to keep the code base readable and application maintainable.
Lead faculty | Assisting faculty |
---|---|
Pooja Godse & M Narsimlu | Sudhakar |
Python is one of the top 10 popular programming languages. It is a general purpose and high level programming language. Python is used for developing desktop GUI applications, websites and web applications. Python, as a high level programming language, allows you to focus on core functionality of the application by taking care of common programming tasks. The simple syntax rules of the programming language further makes it easier for you to keep the code base readable and application maintainable.
Lead faculty | Assisting faculty |
---|---|
Pooja Godse & M Narsimlu | Sudhakar |
The world has become highly interconnected and hence more complex than ever before. We are surrounded by a multitude of networks in our daily life, for example, friendship networks, online social networks, world wide web, road networks etc. All these networks are today available online in the form of graphs which hold a whole lot of hidden information. They encompass surprising secrets which have been time and again revealed with the help of tools like graph theory, sociology, game theory etc. The study of these graphs and revelation of their properties with these tools have been termed as Social Network Analysis. The no. of students trained in this certification was 51.
Lead faculty | Assisting faculty |
---|---|
Pooja Godse | Sudhakar |