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JNTUK R23 B.Tech AI & ML III Year I Semester (3-1) Syllabus & Subject-wise Topics

Third year opens with core systems and information-retrieval courses — Computer Networks, Operating Systems, and Information Retrieval Systems — while introducing the branch’s first Professional Elective and Open Elective choice points. Two lab courses reinforce networking and retrieval theory, and a Flutter-based UI design course plus a second full-stack development module build front-end and mobile skills. A community service project internship is evaluated this semester as well.

Subjects

Information Retrieval Systems

L-T-P: 3-0-0, 3 credits

Computer Networks

L-T-P: 3-0-0, 3 credits

Operating Systems

L-T-P: 3-0-0, 3 credits

Professional Elective-I options:

L-T-P: 3-0-0, 3 credits (one option selected)

Open Elective-I is filled either from the cross-department open elective pool (each engineering branch offers a course, commonly foundational subjects like Operating Systems or Database Management Systems, to other departments’ students) or by choosing the in-house alternative, Entrepreneurship Development & Venture Creation.

Information Retrieval Lab

L-T-P: 0-0-3, 1.5 credits

Computer Networks Lab

L-T-P: 0-0-3, 1.5 credits

Full Stack Development-2

(Skill Enhancement Course; alternative: SWAYAM Plus Data Engineer/AI Engineer track)

L-T-P: 0-1-2, 2 credits

User Interface Design using Flutter

L-T-P: 0-0-2, 1 credit

The Community Service Project Internship completed over the prior summer is formally evaluated this semester for 2 credits.

Semester total: 15-1-10 contact hours, 23 credits. Students may additionally opt into a Minor specialization course (3-0-3, 4.5 credits), a NPTEL/SWAYAM minor course (3 credits), or Honors-pool courses (3 credits each).

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