Overview
Syllabus
Overview
Vision and Mission
PEO's , PO's and PSO's
Faculty Details
Syllabus
Events
Academic Excellence

Artificial Intelligence and Data Science
Code-72

OVERVIEW

Artificial Intelligence and Data Science, as branches of engineering, blend methodologies from statistics, cognitive science, computing, and information science to extract insights from data. This knowledge drives intelligent business decisions by collecting, categorizing, strategizing, analyzing, and interpreting data. These fields specialize in developing data-driven solutions, data visualization tools, and techniques for handling big data, incorporating machine learning and deep learning to solve computational problems.

Suitable for those interested in creating intelligent business solutions, AI and Data Science offer lucrative career opportunities. Graduates can design and implement AI and DS-based software solutions, utilizing the latest tools and technologies to solve real-world problems. They acquire skills in data handling, knowledge extraction, and various application developments, contributing significantly to industries like manufacturing, e-commerce, finance, and healthcare.

Vision and Mission

To be a vibrant nodal center for Artificial Intelligence and Data Science Education, Research that make the students to contribute to technologies for IT, IT-Enabled Services; to involve in innovative research on thrust areas of data science industry and academia; to establish start-ups supporting major players in the industry.
  • DM1: Emphasize project based learning by employing the state-of art technologies, algorithms in software development for the problems in Data science using AI.
  • DM2: Involve stakeholders to make the students industry ready with training in skill-oriented computer application software.
  • DM3: Facilitate to learn the theoretical nuances of AI techniques, Computer Engineering courses and motivate to carry out research in both core and applied areas of AI.

PEO's and PSO's

  1. PEO 1: Work effectively in inter-disciplinary field with the knowledge of Artificial Intelligence and Machine Learning to develop solutions to the real-world problems.
  2. PEO 2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
  3. PEO 3: Excel as socially committed engineers or entrepreneurs with high ethical and moral values.
  • PSO-1  Apply fundamental concepts of Data Sciences, Artificial Intelligence and Machine Learning to solve multidisciplinary engineering problems.
  • PSO-2 To communicate and work effectively on team based engineering projects and will practice the ethics of their profession.

Faculty Details

S.NO Faculty Name Designation Qualification UID Profile
1 Mr. Santosh Kumar Kulkarni Assistant Professor M.Tech 0872-150409-112301 View Profile
2 Mr. V. Santhosh Kumar Assistant Professor M.Tech View Profile
3 Mr. P. Lokanadam Assistant Professor M.Tech View Profile
4 Mr.Dhamodher Mothukuri Assistant Professor M.Tech 0590-230807-101147 View Profile
5 Mr. Arumulla Suman Assistant Professor M.Tech 7356-160225-112618 View Profile
6 Mrs. Kuntham Anusha Assistant Professor M.Tech 6641-150418-231038 View Profile
7 Mr. Ravi Kumar Gummula Assistant Professor M.Tech 7066-190220-174538 View Profile
8 Ms. Reshma Vennamaneni Assistant Professor M.Tech 9486-210816-151905 View Profile

Courses

I B.Tech I Semester
Theory Practical
Mathematics-I Question Bank English Language Communication Skills Lab
Engineering Chemistry Question Bank Engineering Workshop
Engineering Physics-I Question Bank
Professional Communication in English Question Bank
Engineering Mechanics   Question Bank
Basic Electrical and Electronics Engineering Question Bank
I B.Tech I Semester
Theory Practical
Mathematics-I Question Bank English Language Communication Skills Lab
Engineering Chemistry Question Bank Engineering Workshop
Engineering Physics-I Question Bank
Professional Communication in English Question Bank
Engineering Mechanics   Question Bank
Basic Electrical and Electronics Engineering Question Bank
II B.Tech I Semester
Theory Practical
Mathematics-4 Question Bank OOPS through JAVA
Mathematical Foundations of Computer Science Question Bank Data Structures through c++ Lab
Data Structures through c++ Question Bank ITWS
Digital Logic Design Question Bank
OOPS through JAVA Question Bank
Environmental Science and Technology Question Bank
II B.Tech II Semester
Theory Practical
Computer Organisation Question Bank Computer Organisation  Lab
Database Management Systems Question Bank Database Management Systems Lab
Operating Systems Question Bank Operating Systems Lab
Business Economics and Financial Analysis Question Bank Gender Sensatization Lab
Formal Languages and Automata Theory Question Bank
III B.Tech I Semester
Theory Practical
Design and Analysis of Algorithms Question Bank Design and Analysis Lab
Data Communications and Computer Networks Question Bank Software Engineering Lab
Software Engineering Question Bank Computer Networks LAb
Fundamentals of Management Question Bank
Open Elective-1 PEC Question Bank
Professional Ethics
III B.Tech II Semester
Theory Practical
Compiler Design Question Bank Web Technologies Lab
Web Technologies Question Bank Advanced English Communication Skills Lab
Cryptography and Network Security Question Bank Cryptography and Network Security Lab
Open Elective II Question Bank
Professional Elective  1 Question Bank
IV B.Tech I Semester
Theory Practical
Cryptography And Network Security Question Bank Cryptography And Network Security Lab 
Data Mining Question Bank
Linux Programming Question Bank Linux Programming Lab 
Design Patterns Question Bank Data Warehousing and Mining Lab
Data Warehousing and Data Mining Question Bank
Cloud Computing Question Bank
Software Process & Project Management(Elective-I) Question Bank Click here for: SPPM Online Revision Class Click here for: SPPM Online Revision Class
Computer Forensics(Elective-II ) Question Bank
IV B.Tech II Semester
Theory Practical
Management Science Question Bank Industry Oriented Mini Project
Adhoc and Sensor Networks(Elective – III) Question Bank Seminar
Semantic Web and Social Networks (Elective – IV) Question Bank Project Work
Comprehensive Viva
Electives
Open Elective   Disaster Management Intellectual Property Rights Human Values and Professional Ethics Elective – I     Software Project Management Image Processing and Pattern Recognition Mobile Computing Computer Graphics Operations Research
Elective – II Machine Learning Soft Computing     Information Retrieval Systems Artificial Intelligence Computer Forensics Elective – III Adhoc and Sensor Networks Storage Area Networks Database Security Embedded Systems
Elective – IV Web Services Semantic Web and Social Networks Scripting Languages Multimedia and Rich Internet Applications Professional  Elective- I Mobile Computing Design patterns Artificial Intelligence Information security Management(Security Analyst1) Introduction to Analytics(Associate Analytics-1)

Syllabus

B. Tech Syllabus (SR22)
B.Tech Syllabus (SR20 )

E - Resources

Lecture Notes, Descriptive Question Bank and Objective Question Bank for Academic Year 2024-25- I Sem Click Here

Projects

Major Projects Academic Year 2023-24 Click Here
Major Projects Academic Year 2022-23 Click Here

Events

Faculty Development Programme (FDP) on Unblocking AI Transparency: A Deep Dive into Explainable AI From 11th November to 20th November 2024
Industrial Visit to Infosys – SEZ Campus, Pocharam
Technical Hands-On Workshop on "Applying Agile in Real Time" on 16th March 2024
Artificial Intelligence and it’s Applications

Academic Excellence

I Year
Academic Year S.No. H.T. No. Name of the Student Branch Section %
2022-23 1 22BK1A72A0 S. Archana AI&DS A 89.68
2 22BK1A7259 K. Viswakarma A 89.49
3 22BK1A7268 M.Ignatius Anto Jennifer A 89.49
2021-22 1 21BK1A7215 GANDI PRIYANKA AI&DS A 90.56
2 21BK1A7207 CHAGANTI SURYANARAYANA MURTHY A 87.89
3 21BK1A7244 POONAM A 87
II Year
Academic Year S.No. H.T. No. Name of the Student Branch Section %
2022-23 1 21BK1A7227 K. S. Hari Kiran Vamshi AI&DS A 87.68
2 21BK1A7207 C. Surya Narayana Murthy A 86.26
III Year
Academic Year S.No. H.T. No. Name of the Student Branch Section CGPA
2024-25 1 22BK1A7268 M IGNATIOUS ANTO JENNIFER AI&DS – 9.55
2 22BK1A72A0 SHERIKARI ARCHANA – 9.47
2 22BK1A72A8 TUMULURI RAJANISH GUPTA – 9.44
IV Year
Academic Year S.No. H.T. No. Name of the Student Branch Section CGPA
2024-25 1 21BK1A7215 GANDI PRIYANKA AI&DS – 8.78
2 21BK1A7218 GHANTASALA ALEKYA – 8.72
2 21BK1A7243 PILLA HEMAMALINI – 8.66

Infrastructure

Academic Facilities

AI DS Academic Facilitites Click Here

OBE

CO - PO Mapping A.Y-2024-25

CO-PO Summary 2024-2025 SEM I Click Here

Newsletter

Artificial Intelligence & Data Science 2022- 23 ISSUE -1 Click Here