Artificial Intelligence (ENCT 305) Micro-Syllabus - Year III Part I, IOE Tribhuvan University
| dc.contributor.author | Institute of Engineering, Tribhuvan University | |
| dc.contributor.author | Thapathali Campus, Institute of Engineering, Tribhuvan University | |
| dc.date.accessioned | 2026-09-21T06:16:51Z | |
| dc.date.issued | 2025 | |
| dc.description | Course: Artificial Intelligence Course code: ENCT 305 Document type: Course Micro-Syllabus Level: Bachelor of Engineering (BE) Offered in: Bachelor in Electronics, Communication and Information Engineering (BEI): Year III Part I, 5th semester Department(s) at TCIOE: Department of Electronics and Computer Engineering Credits: 3 Hours per week: 3 lecture, 1 tutorial, 1.5 practical (total 5.5) Evaluation: theory internal assessment 40 marks; theory final examination 60 marks (3 hours); practical internal assessment 25 marks; total 125 marks Curriculum: Institute of Engineering, Tribhuvan University (revised curriculum 2081 BS / 2025 AD) Original PDF: https://portal.tu.edu.np/downloads/2025_11_12_13_12_17.pdf IOE curriculum structure (BEI): https://ioe.tu.edu.np/pages/electronics-engineering-curriculum-structure-2660 Uploaded by the Central Library, Thapathali Campus, for students, teachers and researchers. | |
| dc.description.abstract | Artificial Intelligence (ENCT 305) is a 3-credit course taught in Year III Part I (5th semester) of the Bachelor in Electronics, Communication and Information Engineering programme of the Institute of Engineering (IOE), Tribhuvan University (TU), Nepal, and offered at Thapathali Campus (TCIOE), Kathmandu. This document is the official micro-syllabus (detailed chapter-wise teaching plan) for Artificial Intelligence as published by IOE under the current curriculum (new syllabus, 2081 BS / 2025 AD). It breaks the syllabus down into lecture-wise topics, learning outcomes, teaching methods and assessment points to guide teachers and students through the semester. Weekly contact hours: 3 lecture, 1 tutorial, 1.5 practical. Evaluation: theory internal assessment 40 marks; theory final examination 60 marks (3 hours); practical internal assessment 25 marks; total 125 marks. Download the free ENCT 305 Artificial Intelligence micro-syllabus PDF for BEI students from the Thapathali Campus e-Library. | |
| dc.identifier.uri | https://elibrary.tcioe.edu.np/handle/123456789/109 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Engineering, Tribhuvan University | |
| dc.relation.uri | https://portal.tu.edu.np/downloads/2025_11_12_13_12_17.pdf | |
| dc.relation.uri | https://ioe.tu.edu.np/pages/electronics-engineering-curriculum-structure-2660 | |
| dc.rights | Copyright Institute of Engineering, Tribhuvan University. Shared for educational use. | |
| dc.source | https://portal.tu.edu.np/downloads/2025_11_12_13_12_17.pdf | |
| dc.subject | ENCT 305 | |
| dc.subject | ENCT305 | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Artificial Intelligence syllabus | |
| dc.subject | ENCT 305 syllabus | |
| dc.subject | Artificial Intelligence Micro-Syllabus | |
| dc.subject | IOE syllabus | |
| dc.subject | TU syllabus | |
| dc.subject | IOE Artificial Intelligence | |
| dc.subject | Artificial Intelligence IOE TU | |
| dc.subject | Artificial Intelligence PDF | |
| dc.subject | syllabus | |
| dc.subject | curriculum | |
| dc.subject | course syllabus | |
| dc.subject | engineering syllabus | |
| dc.subject | IOE | |
| dc.subject | Institute of Engineering | |
| dc.subject | Tribhuvan University | |
| dc.subject | TCIOE | |
| dc.subject | Thapathali Campus | |
| dc.subject | Nepal | |
| dc.subject | Bachelor of Engineering (BE) | |
| dc.subject | Year III Part I | |
| dc.subject | 5th semester | |
| dc.subject | Semester 5 | |
| dc.subject | Bachelor in Electronics, Communication and Information Engineering | |
| dc.subject | BEI | |
| dc.subject | BEI syllabus | |
| dc.subject | Department of Electronics and Computer Engineering | |
| dc.subject | new syllabus 2081 | |
| dc.subject | IOE new syllabus | |
| dc.subject | IOE curriculum 2025 | |
| dc.subject | Micro-Syllabus | |
| dc.subject | ENCT 305 Micro-Syllabus | |
| dc.subject | IOE Micro-Syllabus | |
| dc.subject | Computer Engineering | |
| dc.subject | Computer Engineering syllabus | |
| dc.title | Artificial Intelligence (ENCT 305) Micro-Syllabus - Year III Part I, IOE Tribhuvan University | |
| dc.title.alternative | ENCT 305 Micro-Syllabus | |
| dc.title.alternative | ENCT 305 Artificial Intelligence | |
| dc.title.alternative | Artificial Intelligence Micro-Syllabus IOE TU | |
| dc.title.alternative | Artificial Intelligence Micro-Syllabus BEI Year III Part I | |
| dc.title.alternative | IOE Artificial Intelligence Micro-Syllabus PDF | |
| dc.type | Learning Object |
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