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Infrastructure

  • The Department of Computer Science and Engineering [Artificial Intelligence and Machine Learning] is a specialization programme in Computer Science and Engineering. It is a 4 Year degree programme started in the year of 2023. The main objective of the department is to provide an innovative Computer Professionals in the field of Artificial Intelligence and Machine Learning. The department flourishes to impart an effective technical education through experiential learning and expand concrete infrastructure with expert faculty and dynamic student community for reaching better target in the field of Artificial Intelligence and Machine Learning both in placement and higher education.

  • The Department has the state-of-the-art facilities for various laboratories, a well equipped seminar hall, smart class rooms to support e-Learning, and a department library.

  • The department insists on enforcing Outcome Based Education (OBE) in the tenure of under graduation with the aid of method of having college ranks, higher placement records, and advanced higher order thinking.

  • To emphasize on lifelong learning and making use of information on fixing actual world issues, we conduct numerous technical activities like hackathons, coding competitions, workshops, Guest lectures, seminars and Industrial visits. We strive to train our first-class in phrases of information dissemination and produce out our students with an enriched experience.

  • Our initiatives will surely mildew the students in any such manner that they face the outside world with spark off technical, interpersonal and trouble-solving abilities. In order to prepare Industry geared up students with holistic character, we tie up with various corporations and often organize diverse sports like enterprise visits, technical talks, and actual-time initiatives to hone the scholars’ technical and smooth competencies.

 

To promote highly Ethical and Innovative Computer Professionals in the field of Artificial Intelligence and Machine Learning by providing required skill sets through excellence in domain expertise and interactive industry interface and shape them to be a socially conscious and responsible citizen.

  • To provide a globally competent professionals to learn in the field of Artificial Intelligence and Machine Learning. and to be innovative in solving real world problems.
  • To initiate Industry oriented activity and Centre of Excellence forums to solve the real world problems.
  • To build moral and ethical values in their profession.

Course Outcome

PO, PEO, PSO

PO
PEO
PSO
Programme Specific Objectives (PSO’s)

PSO1:Graduates should be able to apply mathematical methodologies to solve computational task, model real world problem using appropriate AI and ML algorithms.

PSO2: Graduates should be able to comprehend, assess, and create computer programs in the fields of algorithms, web design, artificial intelligence, machine learning, deep learning, data science, and networking for the effective design of computer-based systems of various complexities

PSO3: Graduates should be able to develop a desire for higher education, to create unique career paths to be an entrepreneur, and to mature as an ethically socially responsible AI and ML professional.

Programme Educational Objectives (PEOs)

PEO-1: To equip and enhance the proficiency of Graduates and thus encourage them to utilize the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, Data Science and Statics to build systems that require management and analysis of large volume of data.

PEO-2: To invite the graduates with required technical skills to enable them pursue pioneering research in the field of Artificial Intelligence and Data Science and thus create disruptive and sustainable solutions for the welfare of Eco System.

PEO-3: To inspire the graduates to think logically and help them to pursue lifelong learning and collaborate with an ethical attitude in a multi-disciplinary team.

Programme Specific Objectives (PSO’s)

PSO1: Graduates would be able to evolve Artificial Intelligence based efficient domain specific process for effective and purposeful decision making in various domains including business and governments.

PSO2: Graduates should be able to solve business and engineering problems with foresight and insight from available data within the resources.

PSO3: The application of theoretical knowledge of Artificial Intelligence and data analysis packed with industrial tools and techniques should be able to help the graduates to solve the day-to-day problems emerging out of the social evils.

Research

ACADEMIC YEAR
NATIONAL CONFERENCE
INTERNATIONAL CONFERENCE
INTERNATIONAL JOURNAL
BOOKS/ CHAPTERS PUBLISHED
Details
2023-2024
-
-
3
1

Achievements

Ms. S. Famitha, HOD / CSE- AI&ML: Awarded as Women Researcher for the contribution and achievement in Innovative Research by International Academic Awards.
Mr. Pavan Kumar Cheemala, I Year CSE – AI&ML: Won the first prize in “3rd South India Open Karate Championship 2024”.
Mr. P. Santhosh, I Year CSE-AI&ML: Secured Elite Silver Certification in Swayam – NPTEL for the course “English Language for Competitive Exam” during Jan – Apr 2024.
Mr. NM. Vigneshwaran, I Year CSE-AI&ML: Successfully completed Certification in Swayam – NPTEL for the course “English Language for Competitive Exam” during Jan – Apr 2024.
Ms. C.U. Shreenidhi, I Year CSE-AI&ML: Successfully completed Certification in IIT(M) for the course “Programming and Data Science” on 15th May 2024.

Courses

Course Name
Course Duration
Under Graduate Programmes
B.E CSE (Artificial Intelligence and Machine Learning)
4 Years

Facility

LAB FACILITY:

CENTRALIZED SERVER CONFIGURATION:

IBM BLADE SERVER-UNIPROCESSOR INTEL XEON-2.4GHz QUAD CORE, 8GB ECC RAM, 300 GB HDD, DUAL GIGABIT NETWORK INTERFACE

INTERNET FACILITY:

Supported by PULSE TELESYSTEMS Pvt Ltd with 100 Mbps (1:1) Internet Leased Line Facility

CURRICULUM LABORATORIES:

Laboratory Course
Lab Name
Configurations
No. of Systems
LHS23101 – COMMUNICATION SKILLS LABORATORY
AI & ML LAB
DELL OPTIPLEX INTEL CORE I5 6TH GEN/8GB/250GB / DELL 22″LED MONITOR/ DELL KEYBOARD AND MOUSE
60
MC23102 – IDEA LABORATORY
AI & ML LAB
DELL OPTIPLEX INTEL CORE I5 6TH GEN/8GB/250GB / DELL 22″LED MONITOR/ DELL KEYBOARD AND MOUSE
60
LCS23201 – PROBLEM SOLVING USING C LABORATORY
AI & ML LAB
DELL OPTIPLEX INTEL CORE I5 6TH GEN/8GB/250GB / DELL 22″LED MONITOR/ DELL KEYBOARD AND MOUSE
60
MC23202 – DIGITAL MARKETING AND SOCIAL MEDIA SKILLS
AI & ML LAB
DELL OPTIPLEX INTEL CORE I5 6TH GEN/8GB/250GB / DELL 22″LED MONITOR/ DELL KEYBOARD AND MOUSE
60
LCS23301 – DATA STRUCTURES LABORATORY
AI & ML LAB
DELL OPTIPLEX INTEL CORE I5 6TH GEN/8GB/250GB / DELL 22″LED MONITOR/ DELL KEYBOARD AND MOUSE
60
LCS23302 – OBJECT ORIENTED PROGRAMMING LABORATORY
AI & ML LAB
DELL OPTIPLEX INTEL CORE I5 6TH GEN/8GB/250GB / DELL 22″LED MONITOR/ DELL KEYBOARD AND MOUSE
60
LAD23301 – DATA SCIENCE USING PYTHON LABORATORY
AI & ML LAB
DELL OPTIPLEX INTEL CORE I5 6TH GEN/8GB/250GB / DELL 22″LED MONITOR/ DELL KEYBOARD AND MOUSE
60

INDUSTRY ATTACHED LABORATORIES:

Laboratory Course
Lab Name
Configurations
No. of Systems
CISCO NETWORK ACADEMY
CISCO
INTEL CORE I3-2100 3.10GHZ PROCESSOR,2GB DDR2,320GB SATA, KEYBOARD PS/2,18.5LED, OPT USB MOUSE, GIGABIT LAN
25
IBM CLOUD COMPUTING
IBM
INTEL CORE I3-2100 3.10GHZ PROCESSOR,2GB DDR2,320GB SATA,KEYBOARD PS/2,18.5LED, OPT USB MOUSE, GIGABIT LAN
25

DEPARTMENT LIBRARY:

The Library aims to improve the knowledge of the users by effectively utilizing the timely updated resources through the innovations of the Information Technology and to facilitate customer satisfaction through high quality service. The department has a well equipped library with collection of book in various disciplines of Artificial Intelligence and Machine Learning like Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Robotics Automation, Augmented and Virtual Reality, Operating system, Computer Architecture, Compiler Design, Database system etc.

No: of Volumes          : 212

No: of Titles                : 56

Faculty

2024-25
Ms. S. Famitha
HOD, Associate Professor
B.E, M.E, (Ph.D)
19.01.2004
Regular
Dr. C. Sadhana
Assistant Professor
B.Sc, M.C.A, M.Tech, Ph.D

Events

2024-25
Ms. S. Famitha
HOD, Associate Professor
B.E, M.E, (Ph.D)
19.01.2004
Regular
Dr. C. Sadhana
Assistant Professor
B.Sc, M.C.A, M.Tech, Ph.D

Placement Updates

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