how much syllabus are same between CSE ( AI & ML , data science , Internet of things ) in BTech ? ( in term of % )
Hey aspirant,
I hope you are doing well.
I am providing you a list of all the basic subjects in all the specializations.
Subjects in CSE (Data Science):
- Big Data Analytics
- Data Science
- Data Visualization
- Information Security
- Data warehouse and Mining
- Machine Learning
- Web analytics and Development
Subjects in CSE (AI&ML):
- Intelligent systems
- AI for games
- Machine Learning
- Data Visualization
- Deep Learning
Subjects in CSE (IoT):
- Introduction to IOT
- Machine Learning
- Big Data Analysis
- Web-technologies
- Real time embedded systems
- Communications protocols
- Database and Network Security
- Collaborative intelligence
As you can see, some of the topics are common in all the three specializations. The subjects taught in the first year of all the above will be same and after that the course will take turn towards there specific fields. There also one many find a few topics common in all the three specializations.
I hope I answered your question.
Hello aspirant,
IoT or Internet of Things is primarily a full system of all mechanical and digital machines which are turned into interconnected computing devices. If we have a look around our surrounding, then we can see that most of the devices are IoT based like Smart Bands or Fitness Bands , Smart Smoke Alarms, Amazon Dash button and this list goes on.
While, Data Science, is defined as the process of obtaining valuable insights from structured and unstructured data by using various tools and techniques. Some of the techniques practiced in data science include data extraction, data analysis, data mining, and data retrieval, to produce informative results.
In simpler words, IoT is about simultaneously collecting and processing data to make real-time decisions whereas, data science is more into collecting and accumulating huge data for analysis afterward.
So, they work on the same thing but differently and it would be somewhat difficult to represent that in the form of percentage.
thankyou
