Audisankara College of Engineering & Technology

About us

Department of CSE (Artificial Intelligence & Machine Learning)

Computer Science & Engineering (AI & ML)

Embark on an enlightening journey of Artificial Intelligence and Machine Learning with our esteemed course, established in the year 2023. Our course offers a unique blend of industry and academia, with experienced faculty members who have a comprehensive understanding of AI and ML.

Gain mastery in crucial areas like Deep Learning, Natural Language Processing, Computer Vision, and Reinforcement Learning, and acquire hands-on experience using industry standard tools like Python, TensorFlow, and Keras. Step into this exciting field and unlock a world of opportunities by joining our Artificial Intelligence and Machine Learning Course today!

Immerse yourself in our AI & ML course, featuring cutting edge laboratories. Attain practical experience in Programming for Data Analysis, Machine Learning, Big Data Analytics, and Statistical Modeling, improving your proficiency in each domain. Our state-of-the-art labs include a Data Analysis Lab, Machine Learning Lab, Big Data Lab, and Statistical Modeling Lab. You will be provided with the industry-standard tools of Python, R, TensorFlow, Apache Hadoop, and Spark, equipping you for the AI & ML industry. Utilize your gained knowledge of data processing and analysis to launch your career in the promising fields of AI & ML.

B. Tech in Computer Science and Engineering (Artificial Intelligence & Machine Learning) | Year of Inception 2020 | Intake - 180

Skills Gained:

Programming Languages, Machine Learning Concepts, Deep Learning Concepts, Natural Language Processing, Data Visualization, Cloud Computing and Big Data, Ethical and Responsible AI

Career Opportunities

Business Analyst, Data Analyst, Intelligence Analyst Data Manager, Information Security Analyst Risk Analyst, Courses and Content Delivery.

Industrial Connections

Marquee companies such as, Capgemini, Infosys, Tech Mahindra, NTT DATA, Mphasis, Global Atos Syntel, NCR, HCL, and Apps Associated greatly support us in terms of supplying the state-of-the-art training for the students.

Vision

To Cultivate the Students as a future generation of proficient and potential for industry, Innovation and Ethical Responsible in CSE (Artificial intelligence & Machine Learning) to fortifying industry and to serve the society.

Mission

M1: To achieve the academic excellence by providing in-depth knowledge to the students through Comprehensive education and practical training in Machine Learning with modern tools and technologies.
M2: To impart professional training on tools and technologies driven by advances in new-age industries and self-employability skills.
M3: To develop ethical data science professionals who utilize data for the Welfare and benefit of the Society.
M4: To educate students to be successful, ethical, and effective lifelong learners.

Program Educational Objectives(PEO's)
PEO1:Graduates will demonstrate the ability to innovate and adapt technologies in Artificial Intelligence and Machine Learning, making meaningful contributions to the field PEO2:Aspiring graduates will successfully pursue higher education in reputable institutions specializing in AI, while also exploring research opportunities that lead to significant advancements in various AI and ML domains PEO3:Graduates will embody ethical and socially responsible practices as solution providers and entrepreneurs, impacting the field of Computer Science and Engineering through their work in AI&ML.

Program Outcomes (PO's)
PO1: Engineering knowledge:Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4) PO3:Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5) PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8) PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6) PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7) PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9) PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments PO11:Life-Long Learning: Recognize the need for and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
Program Specific Outcomes (PSO's)
PSO1:Develop sophisticated models in Data Science, Machine Learning, Deep Learning, and Big Data Technologies, leveraging their acquired AI knowledge and proficiency in modern tools to address complex challenges PSO2:Formulate innovative solutions for interdisciplinary problems by applying their programming skills and analytical thinking, ensuring compliance with real-time constraints and industry standards PSO3:Demonstrate the ability to translate theoretical knowledge into practical applications, creating impactful solutions that drive advancements across various sectors through AI and ML technologies

Knowledge and Attitude Profile (WK)
WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences WK2: Conceptually - based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline. WK5: Knowledge, including efficient resource use, environmental impacts, whole-life cost, re- use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area WK6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline WK7: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues WK9: Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes

Academic Calender

B.Tech III Semester (R23) Academic Calendar 2024-25

B.Tech V Semester (R20) Academic Calendar 2024-25

B.Tech VII Semester (R20) Academic Calendar 2024-25

M.Tech III Semester Academic Calendar 2024-25

CAIML BoS Members

No.	Name of the Member	Designation & Affiliation	Category
1	Dr. M. Rajaiah	HOD	Chairman
2	Dr. U. Thirupalu	Professor	Program Coordinator
Subject Experts Nominated by the Academic Council
3	Dr. C. Krishna Mohan	Professor in CSE Dept., IITH, Hyderabad	Member
4	Dr. R. B. V. Subrahmanyam	Professor in CSE Dept., NITW, Warangal.	Member
University Nominee
5	Prof. A. Suresh Babu	Professor in CSE Dept.& DOAA, JNTUA, Ananthapuramu.	Member
Industry Expert
6	Mr. M. Vijay Bhaskar	Senior Manager, Cap Gemini, Bangalore.	Member
Alumni
7	Mr. P. Ganesh	Senior Analyst, Amazon Web Services, USA	Member
Department Faculty
8	All members of faculty	Department of CSE(AI & ML), ASCET	Members

Minutes

2^nd BoS Meeting Minutes

1^st BoS Meeting Minutes

Student Achievements

Events

Computer Science & Engineering (AI & ML) Labs

Charles Babbage Computer Lab	Tim Berners Lee Computer Lab	Dennis Ritchie Computer Lab

Ken Thompson Computer Lab	Internet Lab	JKC & Projects Lab

Cisco Networking Lab

DSS' Competitive Programming Lab

On September 21, 2024, Audisankara College of Engineering and Technology (ASCET) signed a Memorandum of Understanding (MoU) with Demy Software Solutions from Visakhapatnam, Andhra Pradesh, has sponsored a Competitive Programming laboratory and established its industry operations on campus.

Memorandum of Understanding

        Council for Skills and Competencies (CSC India)
        nasscom
        Demy Software Solutions
        CISCO
        Tata Consultant Services

D. Nagaraju, Cryptography-a practical approach, SLV Publisher (2020), ISBN:978-93-5406-609-2.
D. Nagaraju Introduction to Blockchain Technology, SLV Publisher (2020), ISBN:978-93-5407-379-3
Mr. G. Rajesh, “Fundamentals of Data structures”, Xpress Publishing (2020), Chennai, ISBN: 9781648923517.
Dr. John T Mesia Dhas, C LOGIC PROGRAMMING, Self-published by Dr. John T Mesia Dhas (2020), ISBN: 978-93-5416-366-1
Dr. John T Mesia Dhas, Modern Metrics (MM): The Functional Size Estimator for Modern Software, Self-published by Dr. John T Mesia Dhas, ISBN: 978-93-5408-510-9
Dr. K. Venkata Nagendra, “Semantic Web”, AkiNik Publications, New Delhi (2020), ISBN: 978-93-89680-91-1.
Dr. K. Venkata Nagendra, “Software Engineering for Software Engineers & Students”, Xpress Publishing (2020), Chennai, ISBN: 9781648923159.
Dr. K. Venkata Nagendra, “Fundamentals of Data structures”, Xpress Publishing (2020), Chennai, ISBN: 9781648923517.
Dr. K. Venkata Nagendra,“Mobile Application Development-Practical Approach”, Xpress Publishing (2020), Chennai, ISBN: 9781648927997.
Dr. K. Venkata Nagendra,“Information and Communication Technology”, Xpress Publishing (2020), Chennai, ISBN: 9781648991523.
Dr. K. Venkata Nagendra, “Distributed Operating System Concepts”, Xpress Publishing (2020), Chennai, ISBN: 9781648991639.
Dr. K. Venkata Nagendra, “Concepts of ‘C’ Programming Language”, Xpress Publishing (2020), Chennai, ISBN: 9781648991639.
Dr. K. Venkata Nagendra,“Concepts of Python Programming”, Xpress Publishing (2020), Chennai, ISBN: 9781649835383.
Dr. K. Venkata Nagendra, “Introduction to Data ware housing and Data Mining”, Xpress Publishing (2019), Chennai, ISBN: 9781648696497.
Dr. K. Venkata Nagendra,“Introduction to Big Data” AkiNik Publications, New Delhi (2018), ISBN: 978-93-5335- 095-6.

Dr. K. V. Nagendra, "Design and Development of EGB Classification Model for predicting Heart Diseases ", International Conference on Innovative Mechanisms for Industry Applications (ICIMIA20) , DSUniversity, bangalore, Mar20.
Dr. K. V. Nagendra, "A study on object detection, tracking and identifing object names using open CV", @GWEST2020 on june 13-14, organized by BITS, vizag and IFERP.

Regulations & Syllabus

R23 Academic Regulations

R23 Regulations & Syllabus

CSI Students' Chapter

At Audisankara College of Engineering & Technology, we are committed to fostering a dynamic and innovative educational environment that prepares our students for the complexities of the modern world. Our approach to teaching and learning integrates a range of transformative strategies aimed at enhancing student engagement, critical thinking, and practical skills. Since 2022, we have implemented a full semester internship program that emphasizes applied and experiential learning.

This initiative allows students to immerse themselves in real-world environments, bridging the gap between theoretical knowledge and practical application. By engaging in meaningful internships, students earn while they learn, gaining valuable industry experience and skills that are directly applicable to their future careers. To cultivate a holistic educational experience, we have introduced a trans-disciplinary curriculum framework.

This innovative approach transcends traditional subject boundaries, enabling students to connect knowledge across disciplines. By streamlining education into a cohesive, integrated format, we promote a more enriching learning experience that encourages creativity and critical thinking. In each unit of our courses, we incorporate self-study topics designed to promote autonomous learning.

This initiative empowers students to take charge of their educational journeys, encouraging them to explore areas of interest and engage in independent research. By fostering self-directed learning, we equip students with the skills needed for lifelong learning and adaptability in an ever-evolving world. The recent implementation of a Learning Management System (LMS) has revolutionized our approach to blended learning. This platform enhances the learning experience by providing students with flexible access to resources, interactive content, and collaborative tools. By combining online and face-to-face instruction, we cater to diverse learning styles and ensure that our students are well-equipped for a digital future.

To further enhance our students’ problem-solving abilities, we have established robust On-Job Training (OJT) and apprenticeship programs. These initiatives provide hands-on experience in real-world settings, allowing students to tackle practical challenges while honing their critical thinking and analytical skills. By engaging directly with industry professionals, students gain insights that enrich their academic learning.

At the heart of our innovative teaching-learning process is a commitment to conscious-based education. We believe in nurturing not only the intellect but also the emotional and ethical dimensions of our students. By fostering awareness, empathy, and social responsibility, we prepare our graduates to become thoughtful leaders who can contribute positively to society. Further the implementation of meta-cognitive assessment tools through video format enhances the accuracy of the learning comes in few of the courses related to experiential and applied learning.

At Audisankara College of Engineering & Technology, we are dedicated to creating an educational landscape that embraces innovation and nurtures the potential of every student. Through our comprehensive initiatives—ranging from full semester internships to trans-disciplinary curricula—we are reshaping the teaching-learning process, ensuring our graduates are not only knowledgeable but also equipped with the skills and mindset necessary to thrive in a complex, interconnected world.

Contact HoD

Dr. Ummadi Thirupalu
HoD CAIML
Audisankara College of Engineering & Technology, Deemed-to-be-University (Section 3 of UGC act 1956),Gudur
Mobile : (+91-) 63024 89310
e-mail: hod.caiml@audisankara.ac.in