The Bachelor of Technology (B.Tech.) Big Data Analytics syllabus at Gyan Vihar School of Engineering and Technology (GVSET), Jaipur is designed to provide overall knowledge to the students with a strong foundation. Bachelor of Technology (B.Tech.) Big Data Analytics faculty at Gyan Vihar School of Engineering and Technology (GVSET) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Bachelor of Technology (B.Tech.) Big Data Analytics at Gyan Vihar School of Engineering and Technology (GVSET), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Bachelor of Technology (B.Tech.) Big Data Analytics syllabus at Gyan Vihar School of Engineering and Technology (GVSET), Jaipur maintains a balance between theoretical knowledge and practical knowledge.
Bachelor of Technology (B.Tech.) Big Data Analytics first year students at Gyan Vihar School of Engineering and Technology (GVSET) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Gyan Vihar School of Engineering and Technology (GVSET), Jaipur also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Bachelor of Technology (B.Tech.) Big Data Analytics syllabus at Gyan Vihar School of Engineering and Technology (GVSET), Jaipur is also frequently updated to give industry relevant training and knowledge to students. Gyan Vihar School of Engineering and Technology (GVSET) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Gyan Vihar School of Engineering and Technology (GVSET) enable Bachelor of Technology (B.Tech.) Big Data Analytics students to apply knowledge and skills in a controlled environment and get required experience.
According to syllabus of Bachelor of Technology (B.Tech.) Big Data Analytics progress, students learn advanced topics and complex concepts. The Bachelor of Technology (B.Tech.) Big Data Analytics curriculum at Gyan Vihar School of Engineering and Technology (GVSET), Jaipur mainly focuses on analytical and critical thinking. As the Bachelor of Technology (B.Tech.) Big Data Analytics course unfolds, students develop several important skills that increases their employability. As per syllabus of Bachelor of Technology (B.Tech.) Big Data Analytics at Gyan Vihar School of Engineering and Technology (GVSET) also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.
Bachelor of Technology (B.Tech.) Big Data Analytics curriculum at Gyan Vihar School of Engineering and Technology (GVSET) includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Bachelor of Technology (B.Tech.) Big Data Analytics syllabus at Gyan Vihar School of Engineering and Technology (GVSET) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at Gyan Vihar School of Engineering and Technology (GVSET)
Note: Given below syllabus is based on the available web sources. Please verify with the Gyan Vihar School of Engineering and Technology (GVSET), Jaipur for latest Bachelor of Technology (B.Tech.) Big Data Analytics curriculum.
Bachelor of Technology (B.Tech.) Big Data Analytics Syllabus
Semester 1
Course Code | Course Title |
---|---|
ENG 101 | English Communication Skills |
MTH 101 | Mathematics-I |
PHY 101 | Physics-I |
CHE 101 | Chemistry |
CSE 101 | Introduction to Computer Programming |
BDA 101 | Introduction to Big Data Analytics |
BDA 102 | Data Structures and Algorithms |
BDA 103 | Database Management Systems |
Semester 2
Course Code | Course Title |
---|---|
MTH 201 | Mathematics-II |
PHY 201 | Physics-II |
CSE 201 | Object-Oriented Programming |
BDA 201 | Data Mining and Machine Learning |
BDA 202 | Data Visualization |
BDA 203 | Statistical Methods for Big Data |
BDA 204 | Web Technologies |
Semester 3
Course Code | Course Title |
---|---|
MTH 301 | Mathematics-III |
BDA 301 | Hadoop and MapReduce |
BDA 302 | Advanced Database Management Systems |
BDA 303 | Python Programming for Big Data |
BDA 304 | Cloud Computing |
BDA 305 | Distributed Computing for Big Data |
BDA 306 | Business Intelligence |
Semester 4
Course Code | Course Title |
---|---|
MTH 401 | Mathematics-IV |
BDA 401 | Big Data Analytics Frameworks |
BDA 402 | NoSQL Databases |
BDA 403 | Natural Language Processing |
BDA 404 | Data Ethics and Privacy |
BDA 405 | Information Retrieval |
BDA 406 | Software Engineering for Big Data |
Semester 5
Course Code | Course Title |
---|---|
BDA 501 | Data Warehousing and OLAP |
BDA 502 | Deep Learning |
BDA 503 | Big Data Analytics in IoT |
BDA 504 | Pattern Recognition |
BDA 505 | Advanced-Data Visualization |
BDA 506 | Reinforcement Learning |
BDA 507 | Seminar |
Semester 6
Course Code | Course Title |
---|---|
BDA 601 | Data Science and Predictive Modeling |
BDA 602 | Data Stream Mining |
BDA 603 | Cybersecurity in Big Data |
BDA 604 | Time Series Analysis |
BDA 605 | Big Data Governance and Ethics |
BDA 606 | Project-I |
BDA 607 | Elective-I |
Semester 7
Course Code | Course Title |
---|---|
BDA 701 | Social Media Analytics |
BDA 702 | Big Data for the Internet of Things |
BDA 703 | Big Data in Finance |
BDA 704 | Project-II |
BDA 705 | Elective-II |
BDA 706 | Elective-III |
Semester 8
Course Code | Course Title |
---|---|
BDA 801 | Big Data Privacy and Security |
BDA 802 | Cloud-Based Big Data Analytics |
BDA 803 | Seminar |
BDA 804 | Project-III |
BDA 805 | Elective-IV |
BDA 806 | Elective-V |
Note: The above table provides a general overview of the syllabus for a Bachelor of Technology (B.Tech.) degree in Big Data Analytics. Please note that the specific courses and their order may vary depending on the university or institution offering the program. It is advisable to refer to the official curriculum or contact the respective educational institution for the most accurate and up-to-date information.
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