Bachelor of Education in Special Education - Learning Disabilities

at Manav Rachna University India

This course is going to teach engineering students on Mathematical Foundations, Statistical Foundations, Machine Learning, Neural Networks, Applied Artificial Intelligence.

The scope of computer science is endless. The computer engineering and IT Applications fields are experiencing an increase of opportunity driven by the technological transformation of every industry. The current market outlook is being shaped by the demand for technological solutions and innovation—particularly in mobile computing—and a host of emerging markets such as Big Data, Apps Development, Web Development, Internet of things, Nanotechnology and green computing.

The scope of computer science is endless. The computer engineering and IT Applications fields are experiencing an increase of opportunity driven by the technological transformation of every industry. The current market outlook is being shaped by the demand for technological solutions and innovation—particularly in mobile computing—and a host of emerging markets such as Big Data, Apps Development, Web Development, Internet of things, Nanotechnology and green computing.

BBA (Healthcare Management) is a three-year undergraduate programme designed to prepare the students for a professional qualification. During this programme, the students are imparted with the knowledge of fundamental management subjects and elective specialized healthcare subjects.

Master of Technology (M.Tech) in computer engineering is a postgraduate degree. It is a computer engineering and application specialized course. The students who possess interest in computer applications can opt for this course. The basic subjects taught during the course are Computer Architecture, system design, AI System, Cloud computing, data structures and algorithms, soft computing, image access and VLSI etc.

The B.Tech specialization in Artificial Intelligence & Machine Learning — the curricula is created with an intent to educate the engineering students on the cutting-edge technologies This courseware is going to teach the engineering students on Mathematical Foundations, Statistical Foundations, Machine Learning, Neural Networks, Applied Artificial Intelligence.

We are entering a new wave of Digital era — a step toward the advancement of technologies in the most audacious ways. From Internet-enabled smart devices to Autonomous vehicles and from Blockchain to Artificial Intelligence, digital transformation is influencing every aspect of our lives. By channelizing the digital platforms, enterprises are going to get tremendous benefits and accomplish their business objectives. To simply state what digital transformation means, it can be defined as the change that is happening through fast adoption of technologies, right from change in the work culture to dramatic impact on the business goals and improving the lives of people.

The B.Tech specialization in Digital Transformation Engineering — the curricula is created with an intent to educate the engineering students on the cutting-edge technologies, besides learning about HTML5, Angular4, Test Automation, Estimation Techniques, Agile Practices, and Cloud Computing.

Master of Science in Mathematics provides in-depth knowledge to the students in advanced applied mathematics and prepares them for various research activities.

The scope of computer science is endless. The computer engineering and IT Applications fields are experiencing an increase of opportunity driven by the technological transformation of every industry. The current market outlook is being shaped by the demand for technological solutions and innovation—particularly in mobile computing—and a host of emerging markets such as Big Data, Apps Development, Web Development, Internet of things, Nanotechnology and green computing.

• Smart Manufacturing: Covering the areas of Nano Technology, Cyber Physical systems, Data Analytics, Artificial intelligence and Machine Learning, Internet of Things, Cloud Computing, Robotics, Mechatronics and 3D Printing.
• Energy: Covering the areas of Thermodynamics, Thermal Engg, Heat transfer, Computational Fluid dynamics, Solar Energy and its application, IC Engine and HVAC.