Highlights of Syllabus
Syllabus at a glance
» | Semester - I | 1. Data Science I 2. Advanced Java 3. Cloud Computing 4. AI and Applications 5. Management Information Systems 6. Practicals based on Data Science I (Using R) 7. Practicals based on Advanced Java 8. Practicals based on Advanced Python |
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» | Semester - II | 1. Machine Learning with Python 2. Elective I 3. Block Chain Technology 4. Computer Networks 5. Software Engineering with UML 6. Practicals based on Android Applications Development 7. Practicals based on Machine Learning with Python 8. Summer Assignment |
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» | Semester - III | 1. Data Science II 2. Elective II 3. Embedded Systems & Robotics 4. Information Security 5. Elective III 6. Practicals based on Data Science II 7. Dissertation / Mini Project |
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» | Semester - IV | 1. Entrepreneurship 2. Industry Internship / Software Development Project |
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» | Elective - I | 1. Digital Marketing Technology 2. Ethical Hacking 3. Sensor Network and IoT 4. Distributed Database Systems |
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» | Elective - II | 1. DevOps, Dockers and Containers 2. Parallel Programming Tools 3. Game Programming using OpenGL 4. Image Processing 5. Design Patterns |
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» | Elective - III | 1. Practicals based on iOS Application Development 2. Practicals based on Java Framework |