ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Department Profile

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.

APPLICATIONS OF THE PROGRAM

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

TOPICS COVERED IN THE SYLLABUS

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.

JOB OPPORTUNITIES

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

CSE Department

SEMESTER I

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 Programming Through Java Software Testing

CBCC-II

a. 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-III

a. Software Project Management

b.Distributed Systems

c. Real Time Systems

Engineering Graphics Laboratory Database Management Systems Lab 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)

SEMESTER II

I YEAR II YEAR III YEAR IV YEAR
Basic Electrical and Electronics Engineering Number Theory and Applications Compiler Design

MOOCS-II

a. Data Analytics

b. Mobile Computing

c. Innovations and IT Management

Probability and Statistics Computer Organization Data Warehousing & Mining

MOOCS-III

a. 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 Entrepreneurship Design and Analysis of Algorithms
Communicative English - I Operating Systems Web and Internet Technologies
Software Engineering

CBCC-I

a. 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
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    Mr. P. V. Subba Reddy acted as a Resource person and trained the third and final year students of Civil Engineering to know about the “Architecture and Interior Design”.

  • 26
    NOV
    One Week Research Oriented STC conducted on “Data Science using R” Dr. Rakesh Kumar, Assistant Professor, CSE, NITTTR, Chandigarh, Dr. Shikha Sharma, Sr. Project Manager, OlamSolutions PVT.

  • 12
    NOV
    one week FDP on “ Machine Learning and Deep Learning “ held from 12th to 17th November 2018 was the training given by E&ICT Academy and NIT Warangal. Delivered sessions on Foundations

  • 04
    OCT
    3 DAYS hands on workshop “Python Programming And Data Analytics’ held on 4th and 5th October 2018. Mr. Praveen Singh, Data Scientist, Bank of America, Mumbai and Mr. Rajesh Kumar verma

  • 28
    SEP
    2-Days Hands-on workshop on “Internet of Things (IoT)” in Association with iB Hubs Pvt. Ltd. Hyderabad held on 28th and 29th September 2018 for III Year and IV Year CSE Students.Y Manikanta,

  • 28
    SEP
    2 days workshop on “cloud and block chain computing (cbcc)” organized on 28th September 2018 for III and IV year students. Mr. Madhuvadlamani acted as a resource person. He addressed the gathering by

  • 01
    FEB
    MATLAB is a popular language for numerical computation. This workshop introduces students to MATLAB fundamentals and demonstrates for some real-time applications.

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    FEB
    Project is an individual or collaborative enterprise that is carefully planned to achieve a particular aim. EXPO means "Exposition, large-scale public exhibition”. Many

  • 11
    FEB
    The Internet of Things is simply a network of Internet-connected objects able to collect and exchange data without depending on a human to human or human to computer





CSE Department

SEMESTER I

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-II

a. 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-III

a. 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)

SEMESTER II

I YEAR II YEAR III YEAR IV YEAR
Basic Electrical and Electronics Engineering Number Theory and Applications Compiler Design

MOOCS-II

a. Data Analytics

b. Mobile Computing

c. Innovations and IT Management

Probability and Statistics Computer Organization Data Warehousing & Mining

MOOCS-III

a. 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-I

a. 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