Industrial Interaction Viva Schedule for Defaulters and Absentees: List 2
Date: Saturday, 30 Nov, 2019
Defaulters and absentees of 7CSC between Roll No 1-20: Vikas Tomar (10.00 AM)
Defaulters and absentees of 7CSC between Roll No 21-40: Dr Md Wazid (10.00 AM)
Defaulters and absentees of 7CSC between Roll No 41-62: Dr Ankur Dumka (10.00 AM)
Defaulters and absentees of 7CSD between Roll No 1-25: Piyush Agarwal (3.00 PM)
Defaulters and absentees of 7CSD between Roll No 26-50: Sumit Pundir (3.00 PM)
Defaulters and absentees of 7CSD between Roll No 51-71: Akanksha Gupta (3.00 PM)
Defaulters and absentees of 7CSE between Roll No 1-25: Manish Sharma (11.00 AM)
Defaulters and absentees of 7CSE between Roll No 26-50: Sharad Gupta (3.00 PM)
Defaulters and absentees of 7CS-BDA Roll No All: Dr Santosh Kumar (10.00 AM to 11.00 AM)
Defaulters and absentees of 7CS-CC between Roll No 1-25: Dr Preeti Mishra (10.00 AM)
Defaulters and absentees of 7CS-CC between Roll No 26-50: Dr Manoj Diwakar (10.00 AM)
Defaulters and absentees of 7CS-CC between Roll No 51-75: Ankur Chaudhary (10.30 AM)
Defaulters and absentees of 7CS-CC between Roll No 76-100: Ankit Tomar (10.30 AM)
Defaulters and absentees of 7IT between Roll No All: Manish Mahajan (10.30 AM to 11.30 AM)
Note: 1.Viva of any defaulter who is attending Adobe placement classes will be conducted later
2. No more viva of defaulters will be conducted further.
Regarding Major Project Evaluation for 7th Sem Students
All students of 7th semester are hereby informed that their Major Project Phase-I viva will be conducted shortly. The students are expected to complete the full design phase of the project and appropriate documentation as per standards.
It is expected that all project groups are meeting their project guides at frequent intervals and are maintaining a diary with their progression with signatures of the guides. It is important to note that those project groups who are not meeting their guides regularly will not be entitled for evaluation.
Notice for 5th Sem Defaulters/Absentees of Mini Project
Students of 5th
Semester who did not fill the registration form for mini project evaluation or Students who filled the registration form but was absent during the evaluation are required to provide their details in the following link:
The last date of providing the details is 5PM of Tuesday, 19 Nov,2019. The evaluation will be scheduled based on the Genuity of the case. Note that this is the final notification and any defaulters left out will be marked Absent.
Mini Project Evaluation Suspended for 3rd
The mini-project evaluation of 3rd semester is suspended till further notice. New dates will be announced subsequently.
Notice: Regarding Mini-Project Evaluation for 3rd and 5th Semester
All students of 3rd
semester is hereby notified that their mini-project evaluation will be done between 11 Nov, 2019 and 16 Nov, 2019. The students will be allotted a particular panel where they have to demonstrate and explain their work and code at the specified scheduled time which will be displayed subsequently. Since the schedule of assessment can fall any time in between the above dates hence all the students are advised to complete their work in all respects by 10th
Nov, 2019. Students who fails to report at the designated panel at the scheduled time will be marked as Absent.
Students are required to fill the following form for panel allocation. The form has to be positively filled by 5pm of Friday, 8 Nov, 2019. No responses will be accepted after that and students who fail to fill the form will not be evaluated. Please fill the form carefully without any error.
Link of Form for 3rd Semester Students:
Link of Form for 5th Sem Students:
Notice for 5th Sem Students: Training on Machine Learning and Artificial Intelligence by Google Community Manager
Ms. Shraddha Gangwar
, Community Manager Google- Crowdsource would be visiting our campus on 7th November 2019 for Training on Machine Learning and Artificial Intelligence. The details are as follows.
Basic training on Machine Learning and Artificial Intelligence.
is partnering with a global community to bring diversity to these Machine Learning models. Crowdsource
is an application available on Google
and the Web
which enables everyone to contribute to Google products and in turn helping our products work better for people in their languages and cultures. The application offers a hands-on way to learn how training machine learning models work. Thus, it is not surprising that our community is mostly comprised of college students who want to enrich their skills & play a role in building diverse, inclusive machine learning systems)
Courses Eligible: B.Tech CSE / IT 2021 passing out batch (Currently 5th
KP Nautiyal Auditorium (GEHU, Dehradun)- 5th Floor
9.00 AM Sharp
Limited Seats: 450 seats
Please find the registration link below for attending the process. It should be filled latest by 6th November 5.00 PM.
Seats will be allocated only first 450 students.