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CSE (Artificial Intelligence & Machine Learning)

About

  • Artificial Intelligence and Machine Learning enable computers to think, learn, and make decisions like humans...
  • For engineering students, AI & ML combine programming, mathematics, statistics, and logical thinking...
  • AI & ML power technologies such as voice assistants, image recognition, and autonomous vehicles.
  • With growing demand across industries, AI & ML offer exciting career opportunities in research and data analytics.

Vision

Excellence in the domain of Artificial Intelligence and Data Science for sustainable development.

Mission

  • To impart quality education with regard to existing and evolving AI & DS techniques.
  • To groom students technologically superior and ethically strong.
  • To equip students with interdisciplinary skill sets.
  • To collaborate with various Industries to make students industry-ready.

Programmes Offered

Under Graduate & Post Graduate Programmes Intake
B. E.
CSE (Artificial Intelligence & Machine Learning) 		30

* All programmes are affiliated with Anna University.

List of Faculties

S. No. Name of the Faculty Designation
1 DR.SREENIVASULU MANDA PROFESSOR
2 DR. SAMBASIVA RAO PROFESSOR
3 MS.SANGEETHA J ASSISTANT PROFESSOR
4 MRS.PADMAPRIYA V ASSISTANT PROFESSOR
5 MS.JAYASRI J ASSISTANT PROFESSOR
6 MR.JAYACHANDRAN B ASSISTANT PROFESSOR
7 MR. GODA MAHESH ASSISTANT PROFESSOR
8 MR.REDDY CHAITANYA ASADI ASSISTANT PROFESSOR
9 MS.ANBARASI M K ASSISTANT PROFESSOR
10 MR. SESHUKUMAR P ASSISTANT PROFESSOR
11 DR.VENKATARAMANA K ASSOCIATE PROFESSOR
12 DR.J.VANITHAVANI ASSOCIATE PROFESSOR

Students On-Roll

II - Year
S.No Register Number Name of the Student
1 112424148001 BALAMURUGAN P
2 112424148002 HEMAVATHY R
3 112424148003 SOWNDHARYA T
4 112424148301 ASHWIN A
5 112424148303 SENTHAMIZH SELVAN P
6 112424148302 GIRIDHARAN G
III - Year
S.No Register Number Name of the Student
1 112423148001 ARUNA.B
2 112423148003 DHANUSH.R
3 112423148004 KAVYA.P
4 112423148005 NAVEEN.A
5 112423148006 NIRANJAN.M
6 112423148007 NIRANJAN.S
7 112423148008 SAISUDHAN.S
8 112423148009 SIVASHANKAR.D
9 112423148010 VINODHA.L
10 112423148301 DIVYA PRASAD R
11 112423148302 NAVEEN KUMAR N

Syllabus

COURSES R17 Regulation R21 Regulation
B.E. CSE(ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING) --- Download

List Of Laboratories For B.E CSE(AIML)

  • Data Structures and Algorithms Laboratory
  • Object Oriented Programming Laboratory
  • Data Science Laboratory
  • Artificial Intelligence & Machine Learning Laboratory
  • Database Design and Management Laboratory

PEOs, PSOs, and POs — Artificial Intelligence and Machine Learning

I. Programme Educational Objectives (PEOs)

Graduates of the programme B.E - CSE (AIML) will:

  • Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
  • Conduct cutting edge research and develop solutions on problems of social relevance.
  • Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.
II. Program Outcomes (POs)

Engineering Graduates will be able to:

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. 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.
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 the public health and safety, and the 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 the 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 modeling 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 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.
III. Program Specific Outcomes (PSOs)

The students will be able to:

PSO 1
Exhibit design and programming skills to build and automate business solutions using cutting-edge technologies.
PSO 2
Strong theoretical foundation leading to excellence and excitement towards research, to provide elegant solutions to complex problems.