Computer Science & Engineering(AI & ML)

Programs Offered

B.Tech. (Computer Science & Engineering (AI & ML))
Intake – 180

Core Competencies

  • Data Sciences
  • Machine Learning
  • Image Processing
  • IOT
  • FOSSEE

Vision

To emerge as a distinguished department, fostering skilled AI developers through top-notch education, interdisciplinary collaboration, industry readiness, and impactful research for the betterment of society.

Mission

  • Offer excellent training using creative AI concepts and technologies.
  • Shape students into skilled and responsible professionals.
  • Teach ethics, values, leadership, and teamwork for real-world challenges.
  • Lead in AI education and research by creating centers of excellence.

About CSE(AI&ML) Department

Overview

Established in 2022, the Computer Science and Engineering (AI & ML) Department commenced with an initial intake of 60 students, which has since burgeoned to 180. The department offers a comprehensive program in Artificial Intelligence & Machine Learning (AI&ML), seamlessly guiding students from foundational principles to advanced neural network applications. The curriculum adeptly blends theory and practical exposure, equipping students for both traditional Machine Learning and cutting-edge AI. The immersive core curriculum facilitates a deep grasp of AI’s theoretical framework and practical applications, forming a robust foundation for exploring intricate AI&ML challenges within diverse domains. The program’s industry pertinence is evident through its emphasis on practical skills and real-world problem-solving. Regular curriculum updates ensure alignment with the latest industry trends. From fundamental concepts to advanced applications, the program empowers students to flourish within AI&ML’s evolving landscape, effectively priming them for success in the industry. The Department of AI & ML stands as an activity hub, offering students a chance to actively engage in learning through participation in Workshops, Seminars, Certifications, Hackathons, Tech-Fests, and R&D ventures. In fostering self-driven learning, the department establishes Technical Clubs to augment student knowledge. With a focus on research and a hands-on learning approach, a cadre of expert faculty has cemented the department’s reputation as a premier destination for AI & ML education.

Prominent Features

Student Training and Internships: The CSE (AI&ML) Department collaborates with Hexart to offer a comprehensive student training program.

Cutting-Edge Laboratories: Our advanced computing laboratories boast state-of-the-art configurations, enriched with both hardware and software resources. This environment enables hands-on learning in Robotics, IoT, Coding, AI, Machine Learning, and Tinkering.

Mentor-Mentee System: A robust mentor-mentee system is in place, ensuring strong guidance and support for students.

Academic Excellence and Placement: We maintain a track record of excellent academics and successful placement activities.

Scholarship Opportunities: Meritorious students are rewarded with scholarships annually.

24/7 Data Centre Availability: A high-end data centre with 24/7 access to advanced equipment, including rack servers and routers, supports students’ learning needs.

Experienced Faculty: Our department is staffed with well-qualified and experienced faculty members.

Diverse Learning Options: We provide additional offerings such as Virtual Lab Classes, Live Classes, Tutorials, and Certificate Courses by esteemed professors.

Industry-Driven Curriculum: Our curriculum includes Robotics, Machine Learning, Cloud Technologies, Mobile Application Development, Data Analytics, and other latest technologies to align with industry expectations.

Mou’s

CSE(AI&ML) Team

G.Srinivasa Rao

M.Tech

Head of the Department

Mr. G. Srinivasa Rao obtained his M.Tech in Computer Science and Software Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2009. He is currently pursuing a Ph.D. at Anurag University, Hyderabad. He is a member of professional bodies such as MISTE and CSI.

With 15 years of teaching experience, he has taught numerous courses at both undergraduate and postgraduate levels. His research interests include Data Science, Machine Learning, and Data Mining. He has guided several real-time projects for both UG and PG students and has organized numerous workshops, conferences, and seminars.

He has more than 10 research publications, including research articles, conference papers, and book chapters, in reputed national and international journals and conferences.

He has actively participated in Faculty Development Programmes, Skill Development Programmes, and Managerial Capacity Enhancement Programmes conducted by reputed institutions such as IIT Hyderabad, IIM Indore, BVB College of Engineering, and ESCI Hyderabad.

Faculty Members

Name Qualification Designation
Prasad G V S Ch S L V M.Tech Assistant Professor
Goli Srinivasa Rao M.Tech Assistant Professor
Kunduru Nirosha M.Tech Assistant Professor
Srinu Malothu M.Tech Assistant Professor
Manjula Payyavula M.Tech Assistant Professor
Aliya Tahseen M.Tech Assistant Professor
Uma Mythraye Medasetti M.Tech Assistant Professor
Shaik Gousiya Begum M.Tech Assistant Professor
Sowmya Srikande M.Tech Assistant Professor
Seema Ahmed M.Tech Assistant Professor
Mohammad Nasreen M.Tech Assistant Professor
Shweta Sharma M.Tech Assistant Professor
Syed Basith Pasha M.Tech Assistant Professor
Palle Nandini M.Tech Assistant Professor
Mrs Qudsia Tahniyath M.Tech Assistant Professor
Manasa Alla M.Tech Assistant Professor
Monika Teegula M.Tech Assistant Professor
Boppa Jangaiah M.Tech Assistant Professor
Kavya Sri Palusa M.Tech Assistant Professor

Outcome Based Education

PEO's
PEO1: Graduates will be able to solve issues creatively, communicate effectively, and work efficiently in multi-disciplinary teams with ethics & values.

PEO2: Graduates will be able to use their knowledge and abilities to grow in their careers, pursue advanced degrees and develop entrepreneur skills.

PEO3: To be engaged in life-long learning and research activities and promote societal progress.

PO's

Engineering Graduates will be able to:

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.
  2. Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3. 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 public health and safety, and cultural, societal, and environmental considerations.
  4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of t h e information to provide valid conclusions.
  5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling to complex engineering activities, with an understanding of the limitations.
  6. 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.
  7. 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.
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. Communication: Communicate effectively on complex engineering activities with the engineering community and with the 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.
  11. 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.
  12. 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.
PSO's

PSO1: Acquire the practical skills in emerging technologies and in-open source platforms related to artificial intelligence and

PSO2: Apply relevant techniques and modern emerging tools in the areas of Healthcare, Education, Agriculture, Smart systems & in all multi-disciplinary problems.

PSO3: An innovative career path to entrepreneurship and life-long learning with moral and ethical values.

Life @ CSE(AI&ML) Department

Facilities

Events / Activities / News

Stay connected and informed with latest engineering news and events, and engage with the college community.

Professional Bodies & Clubs

Professional Bodies

  • CSI
  • ISTE
  • ACM Chapter
  • Google Development Society
  • IEEE-CS Chapter
  • IUCEE IASF-chapter

Clubs

  • Coding Club
  • Machine Learning Club
  • Data Science Club
  • Gaming Club
  • IoT Club
  • Robotics Club
  • Drone Club
  • Deep Learning Club

Industry & Academic Collaborations

Other Information

Guest Lecture on Data Science by Mr. Arindam, Data Scientist, ERRICSON on 10th January 2021 by Data Science Club.

The AI Dept itself and the H&S Dept organizes different activities for the enhancement of the knowledge of the students and to improve their Life Skills, Soft Skills and Technical Skills. The different activities are –

  • Guest Lectures
  • Coding contest
  • Science Project Exhibition
  • Software Project Exhibition
  • Poster Exhibition
  • Special Classes on Coding at evening hrs for doubt clearance
  • Online classes during off days and All India Lockdown Days
  • Online test on different subjects
  • Quiz
  • Seminar by the students
  • Value added courses
  • Certifications

Value Added Courses

  • AWS Cloud Literacy Course
  • MOOC on “C and Data Structures”
  • CISCO Networking Course
  • Machine Learning MOOC at Coursera.org
  • CS50X MOOC by Harvard University at edx.org
  • Python MOOC at Udemy.com
  • Ethical Hacking MOOC at Udemy.com
  • “C Programming” at Udemy.com
  • Cognizia A
  • Microsoft Azure

Resources

Teaching & Learning

Innovative Teaching Techniques

Teaching is an art and science. Teaching is a process of imparting knowledge and skills. It is a systematic process based on some educational objectives to communicate.

The following innovative teaching methods are being adopted:

Interactive Learning
Interactive learning is a hands-on, real-world approach to education. ‘Interactive learning actively engages the students in wrestling with the material. It reinvigorates the classroom for both students and faculty. Lectures are changed into discussions, and students and teachers become partners in the journey of knowledge acquisition.’

Interactive learning can take many different forms. Students strengthen their critical thinking and problem-solving skills using a much more holistic approach to learning. Interactive learning can take place across the curriculum with technology.

Collaborative Learning

“Collaborative learning is an umbrella term for a variety of educational approaches involving joint intellectual effort by students, or students and teachers together. Usually students are working in groups of two or more, mutually searching for understanding, solutions or meanings, or creating a product. 

Collaborative learning activities vary widely, but most center on students’ exploration or application of the course material, not simply the teacher’s presentation or explication of it”.

Why use cooperative learning?   To..

  • promote student learning and academic achievement
  • enhance student satisfaction with their learning experience
  • help students develop skills in oral communication
  • develop students skills
  • promote student self-esteem

5 Elements of cooperative learning

  1. Positive interdependence
  2. Face-to-face interaction
  3. Individual and group accountability
  4. Interpersonal and small group skills
  5. Group processing
Flipped Classroom

A flipped classroom is an instructional strategy and a type of blended learning that reverses the traditional learning environment by delivering instructional content, often online, outside of the classroom. It moves activities, including those that may have traditionally been considered homework, into the classroom. In a flipped classroom, students watch online lectures, collaborate in online discussions, or carry out research at home and engage in concepts in the classroom with the guidance of a mentor.

The flipped classroom intentionally shifts instruction to a learner-centered model in which class time explores topics in greater depth and creates meaningful learning opportunities, while educational technologies such as online videos are used to ‘deliver content’ outside of the classroom. In a flipped classroom, ‘content delivery’ may take a variety of forms.

Role Play

Role-playing is the changing of one’s behavior to assume a role, either unconsciously to fill a social role, or consciously to act out an adopted role.

  • To refer to the playing of roles generally such as in a theatre, or educational setting;
  • To refer to taking a role of an existing character or person and acting it out with a partner taking someone else’s role, often involving different genres of practice.
Think-Pair-Share

Think-Pair-Share (TPS) is a collaborative learning strategy in which students work together to solve a problem or answer a question about an assigned reading. This technique requires students to (1) think individually about a topic or answer to a question; and (2) share ideas with classmates. Discussing an answer with a partner serves to maximize participation, focus attention and engage students in comprehending the reading material.

Benefits:

  • The Think-Pair-Share strategy is a versatile and simple technique for improving students’ reading comprehension.
  • It gives students time to think about an answer and activates prior knowledge.
  • TPS enhances students’ oral communication skills as they discuss their ideas with one another. 
  • This strategy helps students become active participants in learning and can include writing as a way of organizing thoughts generated from discussions.
Case Based Learning

This method is learner-centered with intense interaction between participants as they build their knowledge and work together as a group to examine the case

The instructor’s role is to facilitate the students collaboratively analyze and address problems and resolve questions

Interactive Learning

Interactive Learning is a hands-on, real-world approach to education ‘Inetractive learning actively engages the students in wrestling with the material

It reinvigorates the classroom for both students and faculty. Lectures are changed into discussion and students and teachers become partners in the journey of knowledge acquisition

Students strengthen their critical thinking and problem-solving skills using a much more holistic approach to learning

Open Educational Resources

Open educational resources (OER) are freely accessible, openly licensed documents and media that are useful for teaching, learning, and research resources that reside in the public domain or have been released under an intellectual property license that permits their free use and re-purposing by others.

Open educational resources include full courses, course materials, modules, textbooks, streaming videos, tests, software, and any other tools, materials, or techniques used to support access to knowledge.

Like Blog, MOOC(Massive Open Online Course), Moodle etc.

Teaching & Learning methodologies

Faculty Name Subject Topic Innovative methods adopted Preparation
Dr.A.Obulesh MFCS Logic Prolog is sued to show Logic execution The online tool to execute Prolog is shown and demo is given. Student are given problem  to solve.  Interactive Online Tool is used : https://swish.swi-prolog.org/
Dr.A.Obulesh MFCS WFF : Well Formed Formula Student’s Seminar Students have been given real life problems to derive WWF
Dr.A.Obulesh AI AI Algorithms AWS Classroom Students should be good in basic AI algorithms.
Kandula Neha CDS Programming (Arrays, Stacks, Queues) Hacker Rank Students should be good at basic Algorithms and Syntax of concepts
Kandula Neha CDS Algorithms and logics Innovative Mini Projects Students should explain with real life examples
K.Kalyani CL Cyber Crimes Students Seminar Students should explain with real life example cases
K.Kalyani CL IT Act 2000 Innovative quiz Well preparation about IT act 2000
Dr.A.Obulesh Robotics Robotics lab Case Studies Students should explain with real life examples
Ch.Swetha Concepts of DataStructures through C++ Trees and Graphs Algorithms Mini Projects Students should explain with real life examples
D.Vaman Ravi Prasad MFCS Pigeon Hole Principle Poster Presentation Students should explain Poster with the given topic

Curriculum

Research & Development

Overview

The Dept of Artificial Intelligence is presently working in the following fields of research.

  • Data Analytics
  • Data Engineering
  • Data Science
  • Machine Learning
  • Artificial Intelligence
  • Coding in AI, M, DS and DL – Python, R, Octave etc.

Publications

Roll of Honors

Toppers – Batch Wise

Toppers – Semester Wise

Contact Us

Mr. G. Srinivasa Rao

Professor, HOD
[email protected]

panugothu Srinivas
panugothu Srinivas

Just left us a 5 star review

Good atmosphere and awesome area

panugothu Srinivas December 16, 2024
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Best campus life

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Not very good for ece branch, can try for cse ,ai related branches 👍

4B2 (Akshay) August 6, 2024
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