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The specific objective of the Master's degree course in Marketing, Consumer Behaviour and Communication is the training of graduates with a specialized knowledge in the management of marketing and communication tools related to the branding and marketing of goods and services in the current social, cultural and economic context, with particular attention to the digital world and new media.
The training course focuses on the tools and methods of analysis that allow industrial, distribution and service companies to optimize their marketing and communication levers and the positioning of their products in the market, at the point of sale and on the web. Such knowledge, deepened with reference to the national and international dynamics related to trade and communication, together with the pertinent legal apparatus, will allow to acquire specific tools for a highly professional management of marketing and communication in three strategic areas, that of brand creation and management, that of its positioning in sales networks, whether owned and third parties, and in the web and digital media.
2. Identify state variables and analyze the response of various control systems in time domain to obtain their steady-state error.
3. Improved transient response of the system in terms of overshoots, settling time and rise time.
4. Use routh-hurwitz criterion to determine the stability of linear control system to design practical stable physical systems necessary for engineering practice.
5. To design a practical control system in frequency domain with the help of Nyquist stability criterion, relative stability, bode plot etc., to meet desired requirements in realistic environment.
In today's world, good decision-making relies on data and data analysis. This course helps students develop the understanding that they will need to make informed decisions using data and to communicate the results effectively. This course will enable
the student to examine the role data analytics plays in helping to make better
decisions based on data. The student will explore various models that can be
utilized to help summarize, visualize, and interpret data in a variety of
disciplines.
- Teacher: DR SEEMA MAITREY [CSE]
KCS351
Data Structure Lab
- Teacher: Dr. HARSH KHATTER [CO]
- Teacher: MS ARTI SHARMA [CO]
- Teacher: MS. SHIVANI [CO]
- Teacher: Dr. HARSH KHATTER [CO]
- Teacher: Mr. Pardeep Tyagi [CO]
- Teacher: MS ARTI SHARMA [CO]
- Teacher: MS NEHA SHUKLA [CO]
- Teacher: Mr. Prince Kumar [CSIT]
A data structure is a storage that is used to store and organize data. It is a way of arranging data on a computer so that it can be accessed and updated efficiently.
It comprises of 5 units.
On moodle, you will get Notes, PPT, Assignments, Video links, Quizzes, previous papers, and other related material.
- Teacher: Dr. HARSH KHATTER [CO]
- Teacher: MR. ANURAG MISHRA [CS]
- Teacher: MR. SREESH GAUR [CS]
- Teacher: Dr. Rishabh Jain
- Teacher: Dr. HARSH KHATTER [CO]
- Teacher: MR. ANURAG MISHRA [CS]
- Teacher: MR. SREESH GAUR [CS]
- Teacher: Puneet Kumar Goyal [CS]
- Teacher: Rohan Rathore [CS]
- Teacher: Vandana [CS]
- Teacher: Dr. Rishabh Jain
Design Thinking is a user-centric approach to innovation that aims to solve complex problems creatively. It involves five stages: Empathize, where you deeply understand users' needs; Define, where you frame the core problem; Ideate, where you generate a wide range of ideas; Prototype, where you create simplified models or solutions; and Test, where you experiment with these prototypes and gather feedback. This iterative process encourages continuous improvement, collaboration, and out-of-the-box thinking, ensuring that solutions are practical, innovative, and aligned with users’ real needs. It’s widely applied across industries for product development, services, and business strategies.
- Teacher: MS RUCHIKA VASHISHTH [ADMIN]
- Teacher: DR DILKESHWAR PANDEY [CSE]
- Teacher: DR (COL) AMIK GARG [Director]
- Teacher: DR MANOJ GOEL [Joint Director]
This file Contains all the details
Course Objectives
1. To help Student understand the concept of Digital Marketing & E-commerce in today’s scenario
2. To enable student in creating and maintaining a good website and blog posts.
3. To make student understand the importance of SEO and Email Marketing in today’s modern world
4. To understand the functioning and importance of Social Media Marketing via various platforms
5. To understand various Analytics tools of online marketing
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Distributed systems is the study of how to build a computer system where the state of the program is divided over more than one machine (or "node"). This course is in active development.
DRUG DELIVERY SYSTEM. CODE: MPH 102 T
Drug Delivery System course is designed to impart knowledge on the area of advances in novel drug delivery systems. Upon completion of the Drug Delivery System course, student shall be able to understand
§ The various approaches for development of Novel Drug Delivery Systems.
§ The criteria for selection of drugs and polymers for the development of delivering system.
§ The formulation and evaluation of Novel Drug Delivery Systems.
- Teacher: DR.N.G.RAGHAVENDRA RAO [KSOP]
Data Structure Lab
2023-24
Section A2
BCS351
- Teacher: Dr. HARSH KHATTER [CO]
- Teacher: Mr. Pardeep Tyagi [CO]
- Teacher: MR. ANURAG MISHRA [CS]
- Teacher: MR. SREESH GAUR [CS]
Please find the attached Google Drive Link of B.Tech. 1st Semester e- Book Bank for uploading on Moodle.
https://drive.google.com/drive/folders/10kDrixk_POUqTXVKMClxoeYvVpazDott?usp=sharing
1. Describe the fundamentals of circuit switching and distinguish complex telephone systems.
2. Differentiate the fundamentals of Space division switching and time division switching.
3. Design, develop and evaluate the telecom traffic to meet defined specifications and needs.
4. Identify the control of switching networks and signalling concepts.
5. Classify the engineering concepts of packet switching and routing which will help to design various switch architectures for future research work.