CSE(Artificial Intelligence and Machine Learning)

EAMCET COUNSELING CODE-CSM

ABOUT THE PROGRAMME

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 :

1. Google Maps
2. Amazon , Flipkart ,Swiggy
3. Carpooling services like Uber , Ola
4. Music apps like Wynk and Spotify
5. Smart Personal Assistants like Alexa
6. Social media Apps like Facebook, Twitter and Instagram
7. Movie Recommendations
8. HDFC bank uses a smart assistant called EVA
9. 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
• Data and AI Consultant
• Robotics Professional
• Software Engineer
• IoT Architect
• Machine Learning Architect

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

1: An ability to apply the fundamental knowledge of mathematics, computing, science, and engineering to solve Information Technology problems.

2: An ability to design and conduct engineering experiments as well as to analyze and interpret data with rubrics.

3: An ability to design and construct a hardware and software system, component, or process to meet desired needs within realistic constraints with core instruction and state-of-the art knowledge.

4: An ability to function on multi – disciplinary teams.

5: An ability to identify, formulate and solve engineering problems in the Information Technology field.

6: An understanding of professional, social and ethical responsibility with informed citizenship.

7: An ability to apply the broad education necessary to understand the impact of engineering solutions in a global, economic, and societal context.

8: An ability to recognize the need for and to engage in life – long learning.

9: An ability to apply computational skills and knowledge to maintain environmental sustainability.

10: An ability to use computer programming skills and modern engineering tools in networking and security necessary for engineering practice.

11: An ability to communicate effectively in both verbal and written usage.

12: An ability to understand and implement inter disciplinary concepts for project management and finance.

S.NO NAME OF THE FACULTY DESIGNATION DEPARTMENT
1DR.S.KALAIMAGALPh.DPROFESSOR & HOD
2DR.M.ABHILASH KUMAR REDDYPh.DPROFESSOR
3DR.M.SIRISH KUMARPh.DPROFESSOR
4DR.T.NEDUNCHEZHIANPh.DPROFESSOR
5DR.K.SWAROOPAPh.DPROFESSOR
6G.T.PRASANNA KUMARIM.Tech.,(Ph.D)ASSOC.PROFESSOR
7D.SHOBA RANIM.Tech.,(Ph.D)ASSOC.PROFESSOR
8M.VIJAYA SANTHIM.Tech.,(Ph.D)ASSOC.PROFESSOR
9S.KAVITHAM.Tech.,(Ph.D)ASSOC.PROFESSOR
10A.SARITHAM.Tech.,(Ph.D)ASSOC.PROFESSOR
11JASMINE SABEENAM.Tech.,(Ph.D)ASSOC.PROFESSOR
12J.SANKARA BABUM.TechASST.PROFESSOR
13R.RAJA KUMARM.TechASST.PROFESSOR
14P.LAKSHMIM.TechASST.PROFESSOR
15R.ROOPAM.TechASST.PROFESSOR
16G.SUNIL KUMARM.TechASST.PROFESSOR
17K.ALLURAIAHM.TechASST.PROFESSOR
18S.RESHMAM.TechASST.PROFESSOR
19T.SATYENDRA KUMARM.TechASST.PROFESSOR
20U.RAKESHM.TechASST.PROFESSOR
21B.RAJANIM.TechASST.PROFESSOR
22K.PADMAJAM.TechASST.PROFESSOR
23P.HARI PRIYAM.TechASST.PROFESSOR
24T.SWETHAM.TechASST.PROFESSOR
25R.POORNIMAM.TechASST.PROFESSOR
26M.THULASIM.TechASST.PROFESSOR
27T.DIVYA VANIM.TechASST.PROFESSOR
28G.SAILAJAM.TechASST.PROFESSOR
29K.RUPAM.TechASST.PROFESSOR
30G.SUNIL KUMARM.TechASST.PROFESSOR
31D.YASO OMKARIM.TechASST.PROFESSOR
32K.SESHAGIRIM.TechASST.PROFESSOR
33P.UMADEVIM.TechASST.PROFESSOR
34M.VISWANADHA REDDYM.TechASST.PROFESSOR
35K.PAVAN KUMARM.TechASST.PROFESSOR
36N.HEMALATHAM.TechASST.PROFESSOR
37J.OMKAR REDDYM.TechASST.PROFESSOR
38G.VENKATESHM.TechASST.PROFESSOR
39S.REVANTH BABUM.TechASST.PROFESSOR
40K.PRATHIMAM.TechASST.PROFESSOR
41A.MOUNIKAM.TechASST.PROFESSOR
42S.LATHA RANIM.TechASST.PROFESSOR
43N.KADHAR VALLIM.TechASST.PROFESSOR
44K.SAINICHAL REDDYM.TechASST.PROFESSOR
45K.CHANDANAM.TechASST.PROFESSOR
46B.VIDYAM.TechASST.PROFESSOR
47D.GEERVANIM.TechASST.PROFESSOR
48G.PRADEEPM.TechASST.PROFESSOR
49K.SIVA PAVANIM.TechASST.PROFESSOR

IT Department

SEMESTER I

I YEAR II YEAR III YEAR IV YEAR
Algebra and Calculus Mathematics III Computer Networks Management Science
Applied Physics Database Management Systems Object Oriented Analysis & Design Internetworking with TCP/IP
Problem Solving & Programming Discrete Mathematics Formal Languages & Automata Theory Information Security
Communicative English - I Basic Electrical & Electronics Engineering Data Warehousing & Mining Scripting Languages
Workshop - I Managerial Economics and Financial Analysis

MOOCS-I*

a. Introduction to Big Data

b. Embedded Systems

c. Computer Animation

Mobile Application Development
Applied Physics Lab Database Management Systems Laboratory UML & CN Laboratory

CBCC-II

a. Machine Learning

b. Software Project Management

c. Enabling Technologies for Data Science & Analytics: IoT

Problem Solving & Programming Lab Basic Electrical and Electronics Laboratory Data warehousing & Mining Laboratory

CBCC-III

a. Human Computer Interaction

b. Information Retrieval Systems

c. Real Time Systems

Communicative English - I Lab Audit course – Social Values & Ethics Scripting Languages Laboratory
Mobile Application Development Laboratory

SEMESTER II

I YEAR II YEAR III YEAR IV YEAR
Basic Electrical and Electronics Engineering Probability and Statistics Compiler Design

MOOCS-II

a. Data Analytics

b. Mobile Computing

c.Innovations and IT Management

Probability and Statistics Software Engineering Data Warehousing & Mining

MOOCS-III

a. Building Large Scale Software Systems

b. Enabling Technologies for Data Science Analytics : IoT

c. Cyber Security

Applied Physics Computer Organization Design Patterns Technical Seminar
Data Structures Microprocessors & Interfacing Design and Analysis of Algorithms Project Work
Communicative English - I Object Oriented Programming using Java Web and Internet Technologies Comprehensive Viva-Voce
Computer Science and Engineering Workshop Formal Languages and Automata Theory

CBCC-I

a. Artificial Intelligence

b. Linux Environment System

c.System Applications & Product

d.Intellectual Property Rights

Communicative English - I Laboratory Microprocessors & Interfacing Laboratory Web and Internet Technologies Laboratory
Basic Electrical & Electronics Engineering Laboratory Java Programming Laboratory Data Warehousing & Mining Laboratory
Applied Physics Laboratory Comprehensive Online Examination-I Comprehensive Online Examination-II

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