How AI And Machine Learning Are Transforming Computer Science
Generative AI, which is the generation of content such as texts, videos, images, codes, and audio, has turned out to be more than just technology chatter with companies realizing real-world applications. The rise of generative AI tools such as Midjourney and ChatGPT have changed the landscape.
Organizations are extracting significant value out of artificial intelligence and machine learning (AI/ML). It is finding significant use cases with large-scale data analysis, autonomous vehicles, and predictive modeling. Given the penetration of AI/ML, computer science courses are being revamped to suit the current demands.
Top computer science engineering colleges in Nagpur like RCOEM are including AI/ML technologies in their college curriculum. In this blog, we will check out how the rise of AI/ML is underlining a restructuring of computer science courses in the country.
Future of Computer Science Engineering with AI/ML
Computer science engineering has been a key discipline that was instrumental in the growth of the IT and software development industry in India. The latest evolution in the industry is AI/ML, which top computer science engineering colleges in Nagpur are including in their course schedule.
What is AI/ML?
Simply put, AI (Artificial Intelligence) is the practice of building a machine that can carry out tasks that generally require human intelligence. ML (Machine Learning), on the other hand, is a subset of AI, which includes training a machine to learn from data and build efficient processes to complete the tasks.
Most computer science engineering colleges in Nagpur have updated their courses to include AI/ML concepts in their curriculum. The new subjects have given a new shape to the computer science stream for aspiring students. Some of the topics that are added are listed below.
Engineering Physics has a key role to play in AI/ML applications to solve business challenges. For example, in robotics, physics is applied to design and control robots through AI apps. You can see this happening with self-driving cars, automated warehouse robots, and guided manufacturing machines. Computer science graduates will find a range of AI implementations that require solid physics knowledge.
Machine Learning Algorithms
While both computer science and machine learning involve programming, the latter is a more niche and sophisticated way of computer programming. ML algorithms are specialised programs to process large volumes of complex data. They are finding applications across industries including BFSI, retail, healthcare, and space exploration.
Having identified the importance of ML algorithms for fresh graduates, most computer science engineering colleges in Nagpur are directing extra focus on these skills.
Regardless of which AI profession you choose - Data Scientist, Data Analyst, or AI/ML Engineer, being good at mathematics is essential. Maths is the foundational knowledge for almost every technical skill set including AI/ML-led digital transformation. Implementation of data-driven automation for use cases like transaction analysis, future stock predictions, sales forecast, etc., will have maths at its center.
Data structures are like the Lego bricks of data sets that help structure and organize data for easy analysis through machine learning and deep learning models. As a computer science engineer, you are required to know common data structures like linear, non-linear, and dynamic array structures allowing AI/ML algorithms to use data effectively.
Probability and Statistics
At the heart of the predictive capabilities of AI/ML technologies lies the fundamentals of probability and statistics. ML algorithms use statistical principles of maximum likelihood estimation and maximum prior estimation, along with probability concepts like Bernoulli, Binomial, and Gaussian distributions. Although these don’t fall under the traditional curriculum, some top computer science engineering colleges in Nagpur are keen on including them.
Python and R Programming
Most engineering colleges focus on conventional programming languages like C, C++, and Java with just some basics in Python. While Java is retaining its importance in computer science institutions, academicians are giving equal focus to Python. It is an essential programming language for AI/ML. R, on the other hand, is seeing rapid adoption across industries due to its numerous advantages including strong community, open-source packages, and so on.
Preparing future-ready computer science graduates
The rapid adoption of AI/ML technologies across industries and domains has forced computer science engineering colleges in the country to restructure their curriculum. Traditionally, it was enough for students to focus on programming languages and their syntaxes. However, that isn’t the case anymore. Now computer science graduates are required to understand AI/ML algorithms if not achieve expertise. To that effect, RCOEM, one of the top computer science engineering colleges in Nagpur has streamlined its curriculum to accommodate the emerging technologies.