GTU Latest 2026 Computer Science & Engineering (Artificial Intelligence and Machine Learning) Sem 6 Syllabus for all subjects pdfs download.
The GTU BE Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus for the year 2026 has been recently published by Gujarat Technical University (GTU), covering all semesters and subjects. This latest 2026 updated syllabus is essential for students as they prepare for their semester exams, providing them with a clear understanding of the topics to be covered and the distribution of marks for theory and practical exams.
GTU Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus Sem 6
L=Lectures, T=Tutorial, P=Practical, PBL=Project Based Learning, E=External Theory, M=Internal Assessment, I=Internal Viva/Submission, V=External Viva, ESE=End Semester Examination, PA=Progressive Assessment
| Subject Code | Subject Name | Credits | Category | Teaching Scheme | Examination Marks | Total Marks | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L | T | P | Theory Marks | Practical Marks | ||||||||
| ESE (E) | PA (M) | PA (I) | ESE Viva (V) | |||||||||
| - | BE06000181 | Big Data Analytics | 4 | Professional Elective - III | 3 | 0 | 2 | 70 | 30 | 20 | 30 | 150 |
| - | BE06042011 | Solve Business Problems with AI | 4 | Professional Elective - III | 3 | 0 | 2 | 70 | 30 | 20 | 30 | 150 |
| - | BE06042021 | Pattern Recognition & Visual Recognition | 4 | Professional Elective - IV | 3 | 0 | 2 | 70 | 30 | 20 | 30 | 150 |
| - | BE06042031 | Image and Video Processing | 4 | Professional Elective - IV | 3 | 0 | 2 | 70 | 30 | 20 | 30 | 150 |
| - | BE06042041 | Cryptography Fundamentals | 3 | Multidisciplinary Open Professional Electives Courses | 3 | 0 | 0 | 70 | 30 | 0 | 0 | 100 |
| - | BE06042051 | Robotics | 3 | Multidisciplinary Open Professional Electives Courses | 3 | 0 | 0 | 70 | 30 | 0 | 0 | 100 |
| Subject Code | Subject Name | Credits | Category | Teaching Scheme | Examination Marks | Total Marks | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L | T | P | Theory Marks | Practical Marks | ||||||||
| ESE (E) | PA (M) | PA (I) | ESE Viva (V) | |||||||||
| - | noc25-cs09 | Business Intelligence & Analytics | 3 | PEC-04(MOOC) | 4 | 0 | 0 | 100 | 0 | 0 | 0 | 100 |
| - | noc25-cs38 | Human Computer Interaction | 2 | MOPEC-03 (MOOC) | 3 | 0 | 0 | 100 | 0 | 0 | 0 | 100 |
| - | noc25-ee13 | Computer Vision And Image Processing - Fundamentals And Applications | 3 | PEC-03 (MOOC) | 4 | 0 | 0 | 100 | 0 | 0 | 0 | 100 |
| Subject Code | Subject Name | Credits | Category | Teaching Scheme | Examination Marks | Total Marks | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L | T | P | Theory Marks | Practical Marks | ||||||||
| ESE (E) | PA (M) | PA (I) | ESE Viva (V) | |||||||||
| - | noc24-cs109 | Algorithmic Game Theory | 2 | MOPEC 03(MOOC) | 3 | 0 | 0 | 100 | 0 | 0 | 0 | 100 |
| - | noc24-cs119 | Software Engineering | 3 | PEC 03(MOOC) | 4 | 0 | 0 | 100 | 0 | 0 | 0 | 100 |
| - | noc24-cs89 | Deep Learning for Computer Vision | 3 | PEC 04(MOOC) | 4 | 0 | 0 | 100 | 0 | 0 | 0 | 100 |
GTU BE Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus
From the below table, students can download GTU Computer Science & Engineering (Artificial Intelligence and Machine Learning) Branch's other semester syllabus PDFs too. To download other semesters syllabus PDFs, click on any of the semesters from the below table.
Conclusion
In conclusion, the GTU BE Computer Science & Engineering (Artificial Intelligence and Machine Learning) Syllabus for 2026 plays a vital role in guiding students at Gujarat Technical University towards academic success. By providing a comprehensive outline of the subjects, mark distribution, and learning objectives for each subject, the syllabus equips students with the necessary knowledge and understanding to excel in their exams.
Leave a Comment