| Course Status : | Upcoming |
| Course Type : | Core |
| Language for course content : | English |
| Duration : | 8 weeks |
| Category : |
|
| Credit Points : | 2 |
| Level : | Undergraduate/Postgraduate |
| Start Date : | 21 Jul 2025 |
| End Date : | 30 Nov 2025 |
| Enrollment Ends : | 31 Aug 2025 |
| Exam Date : | |
| Translation Languages : | English |
| NCrF Level : | 4.5 |
| Industry Details : | Software Development |
|
swayam@nitttrc.edu.in, swayam@nitttrc.ac.in
WEEK 1: Introduction: Database System Concepts and Architecture
WEEK 2: Data Modeling using the Entity-Relationship(ER) Model , The Enhanced Entity-Relationship (EER) model
WEEK 3: The Relational Data Model
WEEK 4: Relational Database Constraints; ER/EER to Relational Model mapping
WEEK 5: SQL, Schema definition, Queries
WEEK 6: Constraints and Views and Introduction to SQL programming Techniques
WEEK 7:Functional dependencies and normalization for relational databases
WEEK 8: Relational database design algorithms and further dependencies.
Dr.B.Surendiran currently working as associate professor and dean faculty welfare in the department of CSE at NIT Puducherry, Karaikal. He has 15+ years of Teaching experience. He had completed his Ph.D from NIT Tiruchirapalli, India. His area of interests are Database management system, machine learning, dimensionality reduction. He has 100+ publications to his credit. He is active reviewer for various SCI/Scopus Journals and completed 1100+ reviews as on date. He had received top reviewer award from publons.com in the year 2019. He was awarded EAI Senior Members Class of 2022 for Top 1% of EAI members.
Dr.Vani V , currently working as Assistant Professor in the Department of Computer Science and Engineering at National Institute of Technology Puducherry, Karaikal. She has twenty years of teaching experience. She has completed her Doctorate from College of Engineering, Anna University. She has published papers in reputed International/National Journals and Conferences. Her primary research interest is Natural Language Processing, Machine Learning, Text mining and Software Engineering.
"The SWAYAM Course Enrolment and learning is free. However, to obtain a certificate, the learner must register and take the proctored exam in person at one of the designated exam centres. The registration URL will be announced by NTA once the registration form becomes available. To receive the certification, you need to complete the online registration form and pay the examination fee. Additional details, including any updates, will be provided upon the publication of the exam registration form. For more information about the exam locations and the terms associated with completing the form, please refer to the form itself."
Grading Policy:
- Internal Assignment Score: This accounts for 30% of the final grade and is calculated based on the average of the best three assignments out of all the assignments given in the course.
- Final Proctored Exam Score: This makes up 70% of the final grade and is derived from the proctored exam score out of 100.
- Final Score: The final score is the sum of the average assignment score and the exam score.
Eligibility for Certification:
- To qualify for a certificate, you must achieve an average assignment score of at least 10 out of 30, and an exam score of at least 30 out of 70. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >=40/100.
Certificate Details:
- The certificate will include your name, photograph, roll number, and the percentage score from the final exam. It will also feature the logos of the Ministry of Education, SWAYAM, and NITTTR.
- Certificate Format: Only electronic certificates (e-certificates) will be issued; hard copies will not be dispatched.
Once again, thanks for your interest in our online courses and certification. Happy Learning.
*********
DOWNLOAD APP
FOLLOW US