Important Notices

Time-Table of Department of Software Development and e-Governance for Offline Classes

17 February, 2021

NATIONAL POST GRADUATE COLLEGE, LUCKNOW-226001

DEENDAYALUPADHYAY KAUSHAL  KENDRA

Department of Software Development and e-Governance

Bachelors & Masters of Vocational Studies

Offline Class Time Table

(w.e.f. 17/02/2021, or until further order)

 

 

 

 

Day

Class

Room

I

09:30AM-10:15AM

II

10:15AM-11:00AM

III

11:00AM -11:45 AM

IV

11:45 AM-12:30PM

MON

  TO

WED

BVOC I

313

FOM (104)

ICT (103)

ECS(101)

 

MVOC I

312

AOC (103)

CBNM(101)

CIS (105)

-

MVOC III

311

CSC(303)

APL (304)

APL(306)- LAB

APL(306) MAYA-LAB

Day

Class

Room

I

09:30AM-10:15AM

II

10:15AM-11:00AM

III

11:00AM -11:45 AM

IV

11:45 AM-12:30PM

THU

TO

SAT

BVOC I

313

e-Governance(105)

 

C Programming (104)

C Program (106)-Lab

Office Automation (106)- Lab -

MVOC I

312

ADBMS(102) & SQL (306) LAB

(9:30 AM – 11:00 AM)

CG(104)

CG-306 (LAB)

MVOC III

311

CNS (305)

CC(302)

DWDM(301)    (11:00 AM-12:30PM)

Faculty_ Name

Paper –No

Subject

Dr. Smita Sahu

BVOC101

Effective Communication skills

Ms. Chandana Pandey

BVOC102

Fundamentals Of Mathematics

Dr.Amitabha Yadav

BVOC103

MVOC302

Computer Fundamentals & ICT

 Cloud Computing

Mr. Vinay Yadav

BVOC105

Introduction & Concepts Of e-Governance

Mr.Anees Alam

BVOC104

 BVOC106

 MVOC304

 MVOC306

Principles of Programming Languages Using C

Practical Using C Language & Office Automation

Advanced Programming Language

Advanced Programming Language: PHP, Python

Mrs. Anamika Agarwal

MVOC101

MVOC104

MVOC106

MVOC303

Computer Based Numerical  Methods

Computer Graphics

Practical Using CG

Client Server Computing

Mr. Akash

MVOC306

Advanced Programming Language MAYA

Mr. Syed Anas Ansar

MVOC103

 MVOC105

 MVOC305

Advanced Operating Concepts

Computer and Information Security

 Cryptography & Network Security

Dr. Pramod Dixit

MVOC102

MVOC106

MVOC301

Advance Database Management System

Practical Using SQL

 Data Warehousing and Data Mining