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KTU Artificial Intelligence Semester 1 — 2024 Scheme

Semester 1 for KTU Artificial Intelligence under the 2024 Scheme is identical to every other Group A branch — all 8 subjects are common courses. Full module-wise syllabus, credits, textbooks and course outcomes for each subject.

Frequently Asked Questions

What subjects are in KTU AI Semester 1 (2024 Scheme)?

KTU AI Semester 1 has 8 subjects identical to all Group A branches: Mathematics for Information Science I (GAMAT101, 3 credits), Engineering Graphics and Computer Aided Drawing (GMEST103, 3 credits), Algorithmic Thinking with Python (UCEST105, 4 credits), Introduction to Electrical and Electronics Engineering (GXEST104, 4 credits), Basic EEE Workshop (GXESL106, 1 credit), Physics for Information Science (GAPHT121, common S1/S2), Chemistry for Information Science and Electrical Science (GXCYT122, common S1/S2), and Health and Wellness (UCHWT127).

Is KTU AI Semester 1 the same as CSE Semester 1?

Yes. KTU AI Semester 1 is identical to CSE Semester 1 and all other Group A branches. All 8 subjects are common courses shared across CSE, IT, AI, AI&DS, AI&ML, CS&BS, CS&DE, CS Cyber Security and CS Data Science.

What is Algorithmic Thinking with Python in KTU AI S1?

Algorithmic Thinking with Python (UCEST105) is a 4-credit subject common to all KTU branches in Semester 1. It introduces problem-solving using Python: variables, control structures, functions, recursion, and basic data structures — foundational skills especially relevant for AI.

How many total credits are in KTU AI Semester 1?

KTU AI Semester 1 (2024 Scheme) carries approximately 22 credits across 8 subjects, with Physics, Chemistry and Health and Wellness spanning both S1 and S2.