CSE-AI&ML
CSE-DS
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Dr. K. Spurthi
Head of the Department
Department of CSE - AI&ML ,DS
Dr. K. Spurthi is the Head of the Department of Computer Science and Engineering specializing in Artificial Intelligence and Machine Learning (CSE – AI & ML). She earned her Bachelor of Engineering degree from Adams Engineering College, affiliated with JNTU, in 2008. She completed her Master of Engineering at Swarna Bharathi Institute of Science and Technology, Khammam, in 2012, and her Ph.D. in Computer Science and Engineering from KLEF Deemed-to-be University, Guntur, Andhra Pradesh, India.
Dr. Spurthi's primary research interest focuses on security in routing protocols for ad hoc networks. With over 12 years of teaching experience, she has published 14 papers in national and international journals, including 2 in SCI journals. Additionally, she has authored a textbook and holds 1 patent.
Journal Publications
Dr.V SITHARAMULU
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Recognized as Silver partner faculty under Inspire-The campus connect faculty partnership model organized by Infosys Campus Connect-2014
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Bagged winner ship in "Content Guru of inspire faculty excellence awards"- 2014 organized by Infosys Campus Connect
Student Achievements(2019-2020)
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K. Vikas from second year has developed an gaming application for mobile.
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Kireeti from second year has developed an application for dhobi.
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P. Hemanth Sai from Final year has developed an application on Spoor enormity on unknown location.
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TarunTeja from third year has won the bronze medal in weight lifting competition held at Hyderabad.
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Three student of final year CH.Sathwik, Megashyam and Ramanadeep got implant training from reputed MNCs like
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P.Sowmya of final year got placed in EFFTRONICS, VIJAYAWADA
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CH. Sathwik of final year got placed in TCS.
Objectives
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To provide a quality education and industry need courses.
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To create a world-class IT professionals.
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To promote education and R&D for rural areas development.
Strategic Strength
As technology develops in leaps and bounds, the opportunities for expanding the field of computing grow even more rapidly. The Computer Science and Engineering Course gives a good foundation in the fundamentals of computing and an understanding of the underlying engineering principles to make the students in sharpening their ability towards analyzing, designing and implementing complex systems and place themselves in superior heights in the changing state of the IT industries.
The key strengths of the department are
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Well qualified and experienced faculty.
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Well-equipped and modern laboratories.
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Most of the faculty members presented & published papers at several reputed National, International conferences and journals.
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Excellent teaching learning environment.
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Department is working on outcome base teaching-learning process.
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Department has good number of Placement record.
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Department organizes Soft Skill & Technical Skill development programs for students in coordination with T&P Department.
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Summer Internship in Industries is provided to student by Department.
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Department provides collaborative interaction of students with Industry Experts.
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Department organizes Conferences, workshops and short-term courses for knowledge uplift of faculties and students.
About Department
The Department of Computer Science and Engineering in Artificial Intelligence and Machine Learning (CSE – AI & ML) , also offers the programmes like B.Tech. in CSE(Data Science) which was established in the year 2022 with an intake of 60. Over the years, (CSE – AI & ML) has grown by leaps and the current intake is 120.
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing computer science and data processing, making a significant impact across various industries. AI involves creating computer systems that simulate human intelligence, enabling them to perform tasks typically requiring human cognition.
Machine Learning, a subset of AI, empowers computers to improve their performance and adapt by learning from data. As businesses and organizations embrace digital transformation, they are inundated with vast amounts of data that are both incredibly valuable and challenging to manage. To effectively handle this data, organizations need innovative tools and techniques to collect, process, analyze, and leverage insights for informed decision-making.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines elements from statistics, computer science, mathematics, and domain expertise to analyze and interpret complex data.
The Department faculty strength is 33 who are highly qualified and experienced in specialization of different domain knowledge. The specializations are Network Security, Data Mining, Web Mining, Cloud Computing, Big Data Analytics, Image Processing, Ad hoc Networks and Software Engineering and Testing.
The department is equipped with 4 computer labs with Hi- End servers and 300 operational nodes of HP & HCL which are designed with structured cabling in tune with the cyber age revolution to support the teaching activities. The centre provides internet connectivity through broadband at 300Mbps. A slew of latest software and packages to equip the students to meet the challenges in the vibrant and constantly changing field is one of the advantages of this department.
. Vision
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The department strives to lead in education, training, and research within the realm of emerging computer science technologies, while also emphasizing managerial skills and social values.
Mission
M1 : To deliver high-quality, industry-relevant education through an effective teaching and learning process.
M2 : To foster a passion for research and innovation by promoting critical thinking.
M3 : To instil values and ethics to prepare students for successful and principled engineering careers.
The student will demonstrate an ability to communicate effectively in all forms.
PO1 : The student will demonstrate an ability to work in teams to accomplish common Goal.
PO2 : The student will demonstrate basic theoretical concepts.
PO3 : The student will demonstrate an ability to use tools, which are frequently used in the Industry.
PO4 :The student will demonstrate an ability to apply mathematics in various computing and data processing applications.
PO5 : The student will develop applications from inception to implementation.
PO6 : The student will demonstrate an ability to analyze and develop real life applications in different domains.
PO7 : The student will develop confidence in self-learning and lifelong learning.
PO8 : The student will demonstrate an ability to achieve campus placement.
PO9 : The student will demonstrate an ability to move to higher studies either in India or abroad.
PO10 : The student will demonstrate Knowledge of professional and ethical responsibilities.
Program Specific Outcomes
At the end of the program, the student:
A graduate of the Computer Science and Engineering Program will demonstrate:
1. PSO1 : Professional Skills: The ability to understand, analyze and develop computer programs in the areas related to algorithms, system software, multimedia, web design, big data analytics, and networking for efficient design of computer-based systems of varying complexity.
2. PSO2 : Problem-Solving Skills: The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success.
3. PSO3:Successful Career and Entrepreneurship: The ability to employ modern computer languages, environments, and platforms in creating innovative career paths to be an entrepreneur, and a zest for higher studies.