This course is a subfield of Computer Science and Engineering whose aim is to specialize students in different aspects of artificial intelligence and machine learning. This course will help students to know the present trends of AIML researches and in future they can implement several applications that will fulfil different societal needs.
Programme Educational Objectives (PEO):
PEO 01: To prepare students to excel in Computer Science and Engineering post graduate programs, to succeed in computing industry profession or successful entrepreneurs through quality education.
PEO 02: To provide students an ability to analyse and solve computer science and engineering problems through application of fundamental knowledge of math’s, science and engineering.
PEO 03: To train students with good Computer Science and Engineering breadth, so as to comprehend, analyse, design and create innovative computing products and solutions for real life problems.
PEO 04: To inculcate in students professional and ethical attitude, communication skills, teamwork skills, lifelong learning, multidisciplinary approach and an ability to relate computer engineering issues with social awareness.
PEO 05: To equip students with excellent academic environment for a successful carrier as engineers, scientist, technocrats, administrators and entrepreneurs.
PO 01: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 02: 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.
PO 03: 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.
PO 04: 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.
PO 05: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO 06: 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.
PO 07: 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.
PO 08: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 09: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 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.
PO 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.
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.
Programme Specific Outcomes (PSO):
PSO 01: Adequate strong skills in learning new programming environments, analyse and design algorithms for efficient computer-based systems of varying complexity.
PSO 02: The ability to understand the evolutionary changes in computing, apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success, real world problems and meet the challenges of the future.
PSO 03: Ability to utilize artificial intelligence and machine learning principles to develop machine intelligence algorithms and smart systems
Minimum 50% aggregate in10th or equivalent examination and minimum 60% aggregate in 10 +2 or equivalent from any recognized board with PM + Chem/ Bio. Tech/ Biology/Technical Vocational (with 45%), subject to securing a minimum of 45% marks in each individual subject.
Duration (in Year): 4
Placement & Career Opportunities / Research Opportunities:
It’s natural to perceive a computer science graduate as a programmer with coding skills. Programming is a primary skill that is taught to the students of this department by its star faculties. However, a CS degree teaches students to solve real-life problems. This can be done not only by working as a programmer but also as a designer, analyst, animator or a game developer. As a company that visits Adamas University to hire students, the following are the career options of students who have completed their computer science engineering courses:
i) Software Engineering:
Most CS graduates work under this title. Software engineers are professionals working to find out complex solutions to a number of applications in different sectors. They are not programmers. A software engineer creates the design that the programmer implements.
ii) Graphic Designing:
Graphic designers have an exciting job at hand, as they get to work on interesting projects, and enjoy flexible work options along with good salaries. Front-end Web Designing is one career path that computer designers can opt for.
iii) Software Testing:
A software testing takes the important responsibility of improving the quality of the application. A Tester or Quality Analyst essentially should have the knowledge of the entire software development life cycle.
iv) Information Security Professional:
Information Security is the dynamic field, not very old, but one of the most important from the future’s perspective. Expansion of knowledge in accordance with the latest industry trends is the most vital aspect of this job.
v) Mobile Application Developer:
Smartphones have become as commonplace as anything can be and with their rising use, there is a growing market of mobile apps. An entry-level professional in this field earns a median salary of INR 353,904 (PayScale). This, being a relatively new field, the growth opportunities are immense.