Subjects in semester 6
| Code | Subject | Credits | Type |
|---|---|---|---|
| BTCS601-18 | Compiler Design | 3 | Theory |
| BTCS602-18 | Artificial Intelligence | 3 | Theory |
| BTCS UUU-18 | Elective-II | 3 | Elective |
| BTCS YYY-18 | Elective-III | 3 | Elective |
| BTOE *** | Open Elective-I | 3 | Elective |
| BTCS603-18 | Project-1 | 3 | Project |
| BTCS604-18 | Compiler Design Lab | 1 | Lab |
| BTCS605-18 | Artificial Intelligence Lab | 1 | Lab |
| BTCS UUU-18 | Elective-II lab | 1 | Elective |
| BTCS YYY-18 | Elective-III lab | 1 | Elective |
Source: official IKGPTU syllabus PDF, pages 5, 7, 59-76. Applies to: Batch 2023 onwards, for University Main Campus, Constituent Campuses and Affiliated colleges. Codes, names and credits are copied as printed; check the official file for changes made after it was published.
Units and topics
Compiler Design (BTCS601-18)
- Introduction to Compilers
- Syntax Analysis
- Intermediate Code Generation
- Run-Time Environment and Code Generation
- Code Optimization
Compiler Design important questions (PDF)
Artificial Intelligence (BTCS602-18)
- Introduction
- Search Algorithms
- Probabilistic Reasoning
- Markov Decision process
- Reinforcement Learning
Artificial Intelligence important questions (PDF)
Elective-II (BTCS UUU-18)
Options: Simulation and Modelling (BTCS606-18), Internet of Things (BTCS608-18), Digital Image processing (BTCS610-18), Cloud computing (BTCS612-18)
Elective-III (BTCS YYY-18)
Options: Software Project Management (BTCS614-18), Data Science (BTCS616-18), Machine Learning (BTCS618-18), Mobile Application Development (BTCS620-18)
Compiler Design Lab (BTCS604-18)
Compiler Design Lab important questions (PDF)
Artificial Intelligence Lab (BTCS605-18)
Artificial Intelligence Lab important questions (PDF)
Elective-II lab (BTCS UUU-18)
Options: Simulation and Modelling Lab (BTCS607-18), Internet of Things lab (BTCS609-18), Digital Image processing lab (BTCS611-18), Cloud computing lab (BTCS613-18)
Elective-III lab (BTCS YYY-18)
Options: Software Project Management Lab (BTCS615-18), Data Science lab (BTCS617-18), Machine Learning lab (BTCS619-18), Mobile Application Development lab (BTCS621-18)
How to prepare for semester 6
Start with the subjects that carry the most credits, because they count most in your SGPA. For each theory subject, go through the units in order, make one page of short notes per unit and practise the long-answer questions from previous papers. Lab courses are scored on records and viva, so keep your practical file up to date every week instead of writing it at the end.
All semesters
Frequently asked questions
How many subjects are there in IKGPTU B.Tech CSE semester 6?
The official IKGPTU scheme lists 10 courses for CSE semester 6: 2 theory, 2 lab and 6 other (project, elective, audit or similar).
How many credits is IKGPTU CSE semester 6?
The subjects listed add up to 22 credits, as printed in the official scheme.
Where is the official IKGPTU syllabus PDF?
The official file used for this page is linked under Source. Always check it, because universities revise schemes for new batches.
Which batch does this syllabus apply to?
Batch 2023 onwards, for University Main Campus, Constituent Campuses and Affiliated colleges If your batch is different, check your university's syllabus page.