Download 2018 Scheme 7 Sem CSE Model Question Papers
Here you can download the model question papers of the 2018 Scheme 7th semester Computer Science and Engineering (CSE) VTU CBCS Notes.
| Branch: Computer Science and Engineering |
| Scheme: 2018 CBCS |
| Type of Material: Model Question Papers |
2018 scheme VTU 7th semester VTU Notes
Core Subjects of 7th Semester Computer Science and Engineering
Artificial Intelligence and Machine Learning (AIML) – 18CS71 2018 Scheme VTU Model Question papers
Big Data Analytics (BDA) – 18CS72 2018 Scheme VTU CBCS Model Question papers
Professional Elective – 2 Subjects of 7th Semester Computer Science and Engineering
Software Architecture and Design Patterns (SADP) – 18C731 2018 Scheme VTU Model Question papers
High-Performance Computing (HPC)- 18CS732 2018 Scheme VTU CBCS Model Question papers
Advanced Computer Architecture (ACA) – 18CS733 2018 Scheme VTU CBCS Model Question papers
User Interface Design (UID) – 18CS734 2018 Scheme VTU CBCS Model Question papers
Professional Elective – 3 Subjects of 7th Semester Computer Science and Engineering
Digital Image Processing (DIP) – 18CS741 2018 Scheme VTU CBCS Model Question papers
Network management (NM) – 18CS742 2018 Scheme VTU CBCS Model Question papers
Natural Language Processing (NLP) – 18CS743 2018 Scheme VTU CBCS Model Question papers
Cryptography – 18CS744 2018 Scheme VTU CBCS Model Question papers
Robotic Process Automation Design & Development (RPADD) – 18CS745 2018 Scheme VTU Model Question papers
Open Elective – B Subjects of 7th Semester Computer Science and Engineering
Introduction to Big Data Analytics (BDA) – 18CS751 2018 Scheme VTU CBCS Model Question papers
Python Application Programming (PAP) – 18CS752 2018 Scheme VTU CBCS Model Question papers
Introduction to Artificial Intelligence (AI) – 18CS753 2018 Scheme VTU CBCS Model Question papers
Introduction to Dot Net framework for Application Development (DOT NET) – 18CS754 2018 Scheme VTU Model Question papers
Laboratory Manuals and Source Code
Artificial Intelligence and Machine Learning Laboratory – 18CSL76
Summary
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