"Special Arrear Autonomous Examinations – Students having arrears and exhausted maximum period permitted in the respective regulations are allowed to register and appear for Nov/Dec 2024 and Apr/May 2025 Examination sessions in order to complete their arrear courses and attain degree. No further chances will be given on any account."
News & Events: • M/s. ClaySys Technologies{1.92- 4.2 LPA}conducted on campus drive on 03 July 2024. 03 students placed as Internship come Placement. • M/s. Conserve Solutions{3LPA}conducted on Campus drive on 19 July 2024. 05 students placed. • M/s. Infynd{3-4.2 LPA}conducted on campus drive on 23 July 2024. 04 students placed. • M/s. Sobha Constructions{13.5 LPA}conducted a Virtual drive on 25 July 2024. 03 students placed. • M/s. Systel{2.5-6 LPA}conducted on campus drive on 31 July 2024. 06 students placed. • M/s. Ernst & Young Global Limited{3.99LPA}conducted a virtual drive on 13 Aug 2024. 05 students placed.
DEPARTMENTof ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

PROGRAM EDUCATIONAL objectives

PEO 1:


Graduates will apply the principles of mathematics, computer science and scientific investigation to solve real world problems in Information Technology Industry and for pursuing higher education.

PEO 2:


Graduates will apply current industry accepted computing practices with new emerging technologies and modern engineering tools to analyze, design, implement and verify high quality computer-based solutions for real world problems.

PEO 3:

Graduates will be leaders and managers by effectively communicating at both technical and interpersonal levels.

PEO 4:
Graduates will apply appropriate knowledge of societal impacts of computing technologies ethically in the course of career related activities for the profession, nation and society.
PEO 5:
Graduates will be successfully employed for pursuing a lifelong learning by applying basic principles and practices of computing to make software projects successfully which meet the objectives of the research.
our

programme outcomes

Graduates will be able to deal with the general aspect of graduation for the Computer Science and Engineering programme, and the competencies and expertise in the same field.

Engineering knowledge

Apply knowledge of mathematics, science, computing and engineering fundamentals appropriate to the discipline.

Problem analysis

Analyze a problem, and identify and formulate the computing requirements appropriate to its solutions.

Design/development of solutions

Design, implement, and evaluate a computer-based system, components, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, health and safety, manufacturability, and sustainability.

Conduct investigations of complex problems

Design and conduct experiments, as to analyze and interpret data

Modern tool usage

Use techniques, skills and modern tools necessary for multidisciplinary environment.

The engineer and society

Analyze the local and global impact of computing on individuals, organizations and society.

Environment and sustainability

Knowledge of contemporary issues.

Ethics

Understanding of professional, ethical, legal, security and social issues and responsibilities.

Individual and team work

The broad education necessary to understand the impact of engineering solution in a global, economic, environmental, and societal context.

Communication
Communicate effectively with a wide range of audiences.
Project management and finance

Understanding of engineering and management principles and apply these principles to real time work to manage projects in multidisciplinary environment and research.

Life-long learning
Recognition of the need for, and an ability to engage in life-long learning.
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PROGRAMMESPECIFICOUTCOMES

PROGRAM SPECIFIC OUTCOME 1

  • Ability to learn , analyze, design and implement ethical sustainable solutions in the field of Artificial Intelligence and related Principles

PROGRAM SPECIFIC OUTCOME 2

  • Ability to use problem solving skills in the broad area of programming concepts, and develop systems using techniques and tools to manage the project in interdisciplinary field.

PROGRAM SPECIFIC OUTCOME 3
  • Ability to understand the evolutionary changes in the field of computing and creating an innovative career path to be an entrepreneur and lifelong learner with moral values.
PROGRAMME SPECIFIC OUTCOMES