B. Tech in Computer Science (Artificial Learning and Machine Learning) is an undergraduate program with adaptive learning solutions by imparting knowledge of Artificial Intelligence, and its sub domains such as machine learning, artificial neural networks, soft computing natural language processing, deep learning, cognitive science and robotics.
The primary objective of this specialization is to enable students to learn how to build intelligent tools and intelligent agents with cutting-edge technologies using a combination of Linear Calculus, Statistics, Artificial Intelligence, machine learning and Data Science by applying various techniques and methods.
Today in the real world, many successful applications have been developed based on artificial intelligence and Machine learning. Some of the applications that use AI and ML inour everyday lives are :
Google Maps
Amazon , Flipkart ,Swiggy
Carpooling services like Uber , Ola
Music apps like Wynk and Spotify
Smart Personal Assistants like Alexa
Social media Apps like Facebook, Twitter and Instagram
Movie Recommendations & Video Games
The CSE with AI & ML specialization covers Linear algebra, statistics, foundations of artificial intelligence, formal concepts and models, natural language processing, artificial neural networks, machine learning, soft computing tools and deep learning, Internet of things, computer vision systems, and intelligent agents.
Machine Learning Engineer, Data Analyst
Data Scientist
Big Data & AI Architect
Big Data Scientist
Artificial Intelligence Engineer
Research Engineer - Artificial Intelligence
Machine Learning Architect
Research Engineer - Artificial Intelligence
Software Engineer & IoT Architect
Data and AI Consultant & Robotics Professional
Artificial Intelligence is influencing people and businesses on a massive scale and has become indispensable. The Artificial Intelligence Industry in India is currently estimated to be US$ 230 million (annual) in terms of revenue, up from US$180 million a year ago. According to an IDC report commissioned by Intel India, over 68% of Indian firms are all set to adopt AI by 2020. These companies include product companies (chatbots, AI-powered visual search and recommendation engines) and services firms offering either offshore, recruitment or training services. The number of companies setting up dedicated AI teams in India is growing by 30% annually. The median salary of AI professionals in India is INR 14.3 lakhs across all experience levels. Around 4% of AI professionals in India command a salary higher than Rs 50 lakhs, reflecting the massive demand for mid and senior-level AI talent in the country.AI and ML graduates can expect a starting salary from 4 lakhs to 6 lakhs. A professional can even expect a salary increase of 60-80% after they’ve developed some important AI skills.Amazon, Google, Infosys, TCS, IBM, Microsoft are all on the lookout for qualified AI and ML engineers.
Program Outcome
ENGINEERING KNOWLEDGE:
Apply the knowledge of mathematics, science, engineering
fundamentals,
and an engineering specialization to the solution of complex engineering problems.
PROBLEM ANLYSIS:
Identify, formulate, review research literature, and analyze complex
engineering problems reaching substantiated conclusions using first principles of
mathematics,
natural sciences, and engineering sciences.
DESIGN/DEVELOPMENT OF SOLUTIONS:
Design solutions for complex engineering problems and
design system
components or processes that meet the specified needs with appropriate consideration for the
public
health and safety, and the cultural, societal, and environmental considerations.
CONDUCT INVESTIGATIONS OF COMPLEX PROBLEMS:
Use research-based knowledge and research
methods
including design of experiments, analysis and interpretation of data, and synthesis of the
information
to provide valid conclusions.
MODERN TOOL USAGE:
Create, select, and apply appropriate techniques, resources, and modern
engineering
and IT tools including prediction and modeling to complex engineering activities with an
understanding
of the limitations.
THE ENGINEER AND SOCIETY:
Apply reasoning informed by the contextual knowledge to assess
societal,
health, safety, legal and cultural issues and the consequent responsibilities relevant to
the professional engineering practice.
ENVIRONMENT AND SUSTAINABILITY:
Understand the impact of the professional engineering
solutions in
societal and environmental contexts, and demonstrate the knowledge of, and need for
sustainable development.
ETHICS:
Apply ethical principles and commit to professional ethics and responsibilities and
norms of the engineering practice.
INDIVIDUAL AND TEAM WORK:
Function effectively as an individual,
and as a member or leader in diverse teams, and in multidisciplinary settings.
COMMUNICATION:
Communicate effectively on complex engineering activities with the
engineering community
and with society at large, such as, being able to comprehend and write effective reports and
design documentation,
make effective presentations, and give and receive clear instructions.
PROJECT MANAGEMENT AND FINANCE:
Demonstrate knowledge and understanding of the engineering
and management principles
and apply these to one’s own work, as a member and leader in a team, to manage projects and
in multidisciplinary environments.
LIFE-LONG LEARNING:
Recognize the need for, and have the preparation and ability to engage
in independent
and life-long learning in the broadest context of technological change.
S.NO | NAME OF THE FACULTY | QUALIFICATION | DESIGNATION |
---|---|---|---|
1 | G Sreenivasulu | M.Tech | HOD & Assistant Professor |
2 | M Ravi Prasad | M.Tech | Assistant Professor |
3 | B Dilip Chakravarthy | M.Tech | Assistant Professor |
4 | K Santhi | M.Tech | Assistant Professor |
5 | N V Siva Reddy | M.Tech | Assistant Professor |
6 | M Padmaja | M.Tech | Assistant Professor |
7 | P M Fayaz Ahmed | M.Tech | Assistant Professor |
8 | K Sravani | M.Tech | Assistant Professor |
9 | C Subbarayudu | M.Tech | Assistant Professor |
10 | Patan Safia | M.Tech | Assistant Professor |
11 | T Bharathi | M.Tech | Assistant Professor |
12 | G Anusha | M.Tech | Assistant Professor |
13 | R Swathi | M.Tech | Assistant Professor |
14 | S Sattar Hadi | M.Tech | Assistant Professor |
15 | S G Sulthana | M.Tech | Assistant Professor |
16 | P Vyshnavi | M.Tech | Assistant Professor |
17 | M Obul Reddy | MBA | System Administrator |
I YEAR | II YEAR | III YEAR | IV YEAR |
---|---|---|---|
Algebra and Calculus | Mathematical Foundations of Computer Science | Operating Systems | Management Science |
Chemistry | Digital Logic Design | Computer Networks | Grid & Cloud Computing |
Problem Solving & Programming | Design Thinking | Object Oriented Analysis and Design | Information Security |
Database Management Systems | Principles of Programming Languages | Mobile Application Development | |
Object Oriented Proramming Through Java | Software Testing |
CBCC-IIa. Introduction to Big Data b. Embedded Systems c. Computer Animation |
|
Python Programming |
MOOCS-I*a. Introduction to Big Data b. R Programming c. Introduction to Operations Management |
CBCC-IIIa. Software Project Management b.Distributed Systems c. Real Time Systems |
|
Engineering Graphics Laboratory | Database Management Systems Laboratory | Object Oriented Analysis and Design & Software Testing Laboratory | Grid & Cloud Computing Laboratory |
Engineering Workshop | Object Oriented Programming Through Java Lab | Operating Systems Laboratory | Mobile Application Development Laboratory |
Chemistry Lab | Python Programming Lab | ||
Problem Solving & Programming Lab | Environmental Science | Social Values & Ethics (Audit Course) |
I YEAR | II YEAR | III YEAR | IV YEAR |
---|---|---|---|
Basic Electrical and Electronics Engineering | Number Theory and Applications | Compiler Design |
MOOCS-IIa. Data Analytics b. Mobile Computing c. Innovations and IT Management |
Probability and Statistics | Computer Organization | Data Warehousing & Mining |
MOOCS-IIIa. Building Large Scale Software Systems b. Enabling Technologies for Data Science Analytics : IoT c. Cyber Security |
Applied Physics | Design and Analysis of Algorithms | Design Patterns | |
Data Structures | Enterpreneurship | Design and Analysis of Algorithms | |
Communicative English - I | Operating Systems | Web and Internet Technologies | |
Software Engineering |
CBCC-Ia. Artificial Intelligence b. Linux Environment System c. System Applications & Product d. Intellectual Property Rights |
||
Computer Science and Engineering Workshop | Operating Systems Lab | Web and Internet Technologies Laboratory | Technical Seminar |
Communicative English - I Laboratory | Software Engineering Lab | Data Warehousing & Mining Laboratory | Project Work |
Basic Electrical & Electronics Engineering Laboratory | Biology For Engineers | Advanced English Language Communication Skills(AELCS) Laboratory) (Audit Course) | Comprehensive Viva-Voce |
Applied Physics Laboratory | Comprehensive Online Examination-II |