New! ODL -DEB Proposal 2023-2024 New! Admission 2024-2025 Careers 2024
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B.Sc Computer Science with specialisation in Artificial Intelligence and Machine Learning

Programme Outcomes


PROGRAM OUTCOMES (PO)

PO 1: Critical Thinking: Apply knowledge of Computer Science to identify, analyze problems and to provide effective solution in the area of Computing.

PO 2: Computing Skills and Ethics: Analyze a problem, and identify and define the computing requirements appropriate to its solution.

PO 3: Analytical skill: Ability to design, develop algorithms and provide software solutions to cater the industrial needs.

PO 4: Modern Tool Usage: Use current techniques, skills, and tools necessary for computing practices

PO 5: Employability Skills: Inculcate skills to excel in the fields of Information Technology and its Enabled services, Government and Private sectors, Teaching and Research.

PO6: Ethics: Insists ethical responsibilities, human and professional values and make their contribution to the society.

PO7: Self Directed and Life-long Learning: Engaged in lifelong learning to equip them to the changing environment and be prepared to take-up mastering programmes.

PO8: Individual and team work: Function effectively as an individual, and as a member or a leader in diverse team and multidisciplinary settings.

PO9: 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.

P10: Project management and finance: Demonstrate knowledge and understanding of the problem and management principles and apply these to one’s own work, as a member and engineering and management principles and apply these to one’s own work, as a member

P11: 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.

P12: 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.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 140

CategoryCode NoCourseHours/WeekCredits
LectureTutorialPractical
LANGTamil- I/
Hindi-I / French-I
3003
ENGEnglish- I3003
CORE121CBCS11Digital Logic Fundamentals3104
CORE221CBCS12 Programming in C3104
CORE321CBCS13Mathematics- I4104
CORE21PBCS11Programming in C lab0042
CORE21PBCS12Fundamentals of Computer Lab0042
AECCCommunication Skills1022
SECOrientation/Induction
programme / Life skills
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TOTAL1731024

 

View full course curriculum

Eligibility Criteria

ProgramEligibilityCriteria for Merit
B.Sc Computer Science with specialisation in Artificial Intelligence and Machine LearningPass in (10+2) or equivalent with Maths/ Computer Science/ Business Maths/ Statistics/ Informatics Practices

Lateral Entry: Pass in Diploma in Computer Science/ ECE/ Visual Communication/ EEE/ Information Technology/ Computer Technology
Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

 

CAREER PROSPECTS

 

 

  • Robotics Programmer
  • Video Game Programmer
  • Data Scientist
  • Software Engineer
  • Machine Learning Researcher
  • Business Intelligence Developer
  • Statistical Analyst

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
27,00022,00049,000

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