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Department of CSE (Artificial Intelligence & Machine Learning)

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ABOUT CSE - (AI & ML) DEPARTMENT

 The Department of Computer Science and Engineering (CSE) was established in the year 2001 with a vision to provide a place for Innovation, Scientific Discovery and New Technology, to evolve as a Centre of Excellence in Research and Learning, Integrating Computer and Information Sciences with Natural Sciences and Basic Engineering.

  The Department was started with UG programme B.Tech (Computer Science & Engineering) with an Initial intake of 60 . By the explorative growth of Computer Science and by Globalization of Economies, the rise in demand for computing professionals in all disciplines was imperative. So the department increased the intake and developed new courses with industry-relevant curriculum to cater the imminent need.

 Courses offered by the department are

COURSE INTAKE YEAR STARTED
B.Tech - Computer Science and Engineering 240 2001
B.Tech - CSE (Artificial Intelligence and Machine Learning ) 180 2020
B.Tech - CSE (Artificial Intelligence and Data Science) 180 2021
B.Tech- CSE with Specialization in Cloud Computing 120 2021
B.Tech- CSE (Internet of Things and Cyber security with Blockchain Technology) 60 2020
B.Tech- CSE (Artificial Intelligence) 60 2022
M.Tech (Computer Science and Engineering) 18 2009
DIPLOMA (Computer Science and Engineering - DCME) 60 2023

  The Department is constantly updating the curriculum of the students every academic year, new courses are framed in consultation with experts in industry and academia and imbibed into the curriculum to prepare the students as industry-ready professionals

 The Department is committed towards upgrading the faculty and students for current and emerging trends in technology. Events such as Workshops, Seminars, Faculty Development Programmes and Conferences are conducted by the Department every academic year to pace up with the updating Technologies.

 The Department is collaborated with IIT Tirupati for mentorship programme, and faculty are working together in Framing curriculum, Research projects, and other outreach programmes.

 The Department is having excellent infrastructure with all class rooms enabled with ICT facilities ,State of art Laboratories, Seminar hall with 500 seating capacity etc. The Department has signed MoU’s with various industry to bridge the gap between academia and industry and has established Centers for excellence. The state of the art Laboratories help the students in learning and completing the advanced certification courses.

  The Department is accredited by the National Board of Accreditation(NBA), New Delhi in 2013, re-accredited in 2016 and 2019 for three years.

 The Alumni of the department are placed in top positions in both academia and industry and constantly pay a visit to the department for motivating the students in the skills required.

VISION & MISSION OF THE DEPARTMENT

Vision

To produce innovative, qualified, and elegant technocrats who will provide global services.


Mission

To employ qualified faculty, and state of the art resources, innovatively to produce world class technocrats.


The Program Educational Objectives of the Computer Science & Engineering are:

PEO1: Graduates with basic and advanced knowledge in science, mathematics, computer science and allied engineering, capable of analyzing, design and development of solutions for real life problems.

PEO2: Graduates who serve the Industry, consulting, government organizations, or who pursue higher education or research.

PEO3: Graduates with qualities of professional leadership, communication skills, team work, ethical values and ifelong learning abilities.

The following are the program outcomes of Engineering Graduates:

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: 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 the public health and safety, and the cultural, societal, and environmental considerations.

PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: 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.

PO7: 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.

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with 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.

PO11: 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.

PO12: 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.

The following are the Program Specific Outcomes of Engineering Graduate:

PSO1: Mobile Apps: Ability to design, develop and deploy mobile applications in Windows/ Google / Mac Apps Stores.

PSO2: Architecture of Computer System: Ability to visualize and articulate computer hardware and software systems for various complex applications.

PSO3: Problem Solving Skills: The ability to apply standard practices and strategies in software project development using open-ended environment to deliver a quality product for business success.
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Dr.R G Kumar
HOD - CSM Department

Dr. R G Kumar is the Programme Chair for Artificial Intelligence & Machine Learning stream in the Department of Computer Science and Engineering. He has 12 years of Academic/Research experience. He earned his Ph.D in Computer Science and Engineering in the field of Natural Language Processing from Bharathiar University. He has guided various UG and PG projects in his experience. His areas of interest are Mobile Computing, Sentiment Analysis and Data Mining related works. He has published his articles in various national/international journals and filed patents. He organized International and national conferences, FDPs, Seminars, Workshops and Symposiums. He has organized an ATAL FDP as a co-coordinator. He worked as NBA Program Coordinator of CSE Dept., and acted as Single Point of Contact (SPoC) for various programmes offered by APSCHE, APSSDC, Microsoft, IBM, Virtusa, NMEICT Remote Center (IITB) during his service at SIETK. Moreover, he received state level appreciation award from APSSDC as the best Faculty Coordinator in organizing Students programme. He is one of the members in Panel of Question Paper Setters/Examiners for various Autonomous Institution in Andhra Pradesh and Telangana and also he has been a member of the Indian Society for Technical Education (ISTE) since 2014. He has 50+ certifications earned through edX, Coursera, Microsoft, IBM and Linkedln. Dr. R G Kumar is a Professor by choice and has a passion for teaching.

REGULATIONS & SYLLABUS

FACULTY

A good teacher can inspire hope, ignite the imagination, and instill a love of learning

CSE (AI & ML) FACULTY MEMBERS LIST

List of Class Rooms

CSE- Artificial Intelligence and Machine Learning (CSM)
S.NO Room No Class Name Facilities
1 AUD-204 UG Class Room LCD Multimedia Projector, Wi-Fi
2 AUD-205 UG Class Room LCD Multimedia Projector, Wi-Fi
3 AUD-206 UG Class Room LCD Multimedia Projector, Wi-Fi
4 AUD-304 UG Class Room LCD Multimedia Projector, Wi-Fi
5 AUD-305 UG Class Room LCD Multimedia Projector, Wi-Fi
6 AUD-306 UG Class Room LCD Multimedia Projector, Wi-Fi
7 UG Class Room LCD Multimedia Projector, Wi-Fi

Department Infrastructure Details

No.of Class Rooms 7
No.of Labs 9 (with 640 systems)
HOD Room 01
HOD Office Room 01
Staff Rooms 02
Department Library 01
CSE-Seminar Hall 400 capacity (Fully Air Conditioned Seminar Hall,
Equipped with ICT tools)
Group Discussion Room 01
Internet Speed 1Gbps (24x7 Internet facility avilable & Wi-fi Campus)

CSE - (AI & ML) DEPARTMENT LABORATORIES

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OBJECT ORIENTED PROGRAMMING LABORATORY:

The objective of this lab are to make the student to learn programming languages such as C++&JAVA. Students get trained in IBM Rational Rose for Object Oriented Analysis and Design(OOAD). Students are also trained in Design Patterns with IBM Rational Rose to solve design problems of the software development.

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IT WORKSHOP LABORATORY:


The objective of this lab is to train the students on PC Hardware, Internet and Productivity tools including Word, Excel, Power Point and Publisher. PC Hardware introduces the students to a personal computer and its basic peripherals, installation of system software like MS Windows, Linux and the required device drivers.

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COMPUTER NETWORKS & OPERATING SYSTEMS LABORATORY:

The objective of this lab is to provide training to students in implementations of Compiler Design & Operating system concepts. This lab also facilitates the students to get trained in Unix Operating system, Shell programming and Networking concepts.

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DATABASE MANAGEMENT SYSTEMS LABORATORY:

The objective of this lab is to provide a strong formal foundation in database concepts and practice with the technologies Oracle and MYSQL.

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WEB TECHNOLOGIES LABORATORY:


The objective of this lab is to train students with JSP, Java Script, and JDBC. In this lab, students can design and implement various Web Applications.

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MOBILE APPLICATION DEVELOPMENT LABORATORY:

The Objective of this lab is to facilitate the students with J2ME and Android. In this lab, students can design and implement various Mobile Applications.

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DATA STRUCTURES LABORATORY:

In this lab students will be trained on Data Structures and Advanced Data structures.

ACHEIVEMENTS

A.P. Prathibha Award in 2018 (Ms. N. Eswari Supraja)