GTU Latest 2025 Artificial Intelligence and Machine Learning Sem 5 Syllabus for all subjects pdfs download.
The GTU BE Artificial Intelligence and Machine Learning Syllabus for the year 2025 has been recently published by Gujarat Technical University (GTU), covering all semesters and subjects. This latest 2025 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 Artificial Intelligence and Machine Learning Syllabus Sem 5
L=lectures, T=tutorial, P=Practical, E=TheoryExternal, M=TheoryInternal, I=Practical Internal, V=Practical External, ESE – End Semester Examination, PA – Progressive Assessment
| Subject Code | Subject Name | Credits | Papers | Category | Teaching Scheme | Examination Marks | Total Marks | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L | T | P | Theory Marks | Practical Marks | |||||||||
| ESE (E) | PA (M) | PA (I) | ESE Viva (V) | ||||||||||
| - | BE05052041 | Data Analytics | 0 | - | Professional Elective - II | 3 | 0 | 2 | 4 | 70 | 30 | 20 | 30 |
| - | BE05052031 | Data Mining and Data Warehousing | 0 | - | Professional Elective - II | 3 | 0 | 2 | 4 | 70 | 30 | 20 | 30 |
| - | BE05052021 | Computer Graphics | 0 | - | Professional Elective - I | 3 | 0 | 2 | 4 | 70 | 30 | 20 | 30 |
| - | BE05052011 | Theory of Computation | 0 | - | Professional Elective - I | 3 | 0 | 2 | 4 | 70 | 30 | 20 | 30 |
| - | BE05000141 | System Software | 0 | - | Professional Elective - I | 3 | 0 | 2 | 4 | 70 | 30 | 20 | 30 |
| Subject Code | Subject Name | Credits | Papers | Category | Teaching Scheme | Examination Marks | Total Marks | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L | T | P | Theory Marks | Practical Marks | |||||||||
| ESE (E) | PA (M) | PA (I) | ESE Viva (V) | ||||||||||
| - | noc25-ee13 | Computer Vision And Image Processing - Fundamentals And Applications | 0 | - | PEC-01 (MOOC) | 4 | 0 | 0 | 3 | 100 | 0 | 0 | 0 |
| - | noc25-cs44 | Introduction To Internet Of Things | 0 | - | MOPEC-02(MOOC) | 3 | 0 | 0 | 2 | 100 | 0 | 0 | 0 |
| - | noc25-cs19 | Business analytics and data mining Modeling using R | 0 | - | PEC-02(MOOC) | 4 | 0 | 0 | 3 | 100 | 0 | 0 | 0 |
| Subject Code | Subject Name | Credits | Papers | Category | Teaching Scheme | Examination Marks | Total Marks | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L | T | P | Theory Marks | Practical Marks | |||||||||
| ESE (E) | PA (M) | PA (I) | ESE Viva (V) | ||||||||||
| - | noc24-cs126 | Design & Implementation of Human-Computer Interfaces | 0 | - | PEC 02 (MOOC) | 4 | 0 | 0 | 3 | 100 | 0 | 0 | 0 |
| - | noc24-cs121 | Cyber Security and Privacy/Introduction to Internet of Things | 0 | - | MOPEC 02 (MOOC) | 3 | 0 | 0 | 2 | 100 | 0 | 0 | 0 |
| - | noc24-cs113 | The Joy of Computing using Python | 0 | - | PEC 01(MOOC) | 4 | 0 | 0 | 3 | 100 | 0 | 0 | 0 |
GTU BE Artificial Intelligence and Machine Learning Syllabus
From the below table, students can download GTU 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 Artificial Intelligence and Machine Learning Syllabus for 2025 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.
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