Objective: The Central objective of the Digital Learning Center is to be a national platform for preparing and delivering rich digital content for enhancing blended mode of education. DLC will impact the student-teacher interaction and enhance learner centric experience of students by providing effortless, timeless, and widespread access of the contents across strongly networked Jaypee university system.
Digital Learning Centre comprises of state-of-the-art multimedia studio, discussion and chroma studios, a 100 seater review cum lecture room supported by automated control, editing, and simulation and animation infrastructure. It will be an endeavor of DLC to prepare digital content beyond mere class room recording of lectures and with rich simulation and animation content. DLC digital content will be powered by Artificial Intelligence by incorporating student-centric automation, content enhancement and adaptive learning concepts. Activities and programmes of DLC will be designed and developed to feed into the online and blended mode education with an objective of providing rich engineering, science and social science and empowering education to a larger number of student population located in remote areas at reduced cost at national level.
Facilities / Features:
DLC is equipped with very high end facilities and features for preparation of digital content powered by Artificial Intelligence. Following is the list of facilities available at DLC. All images of the facilities are provided in the picture gallery.
- Studio equipped with Chroma and Virtual room
- Studio equipped with Discussion Room and Teleprompter
- Studio equipped with Panel Discussion room
- Studio room (Second)
- Makeup Room
- Video Editing Room
- Server Room
- Graphics Room
- Production Control Room
Process for Quality Control of Digital Content:
- The Departmental Digital Education (DDE) Committee comprising of DDE Coordinator and two faculty members evaluates proposals of courses to be run received from faculty as per Form No. DLC1 (Digital Course proposal form). The form contains all details of faculty involved, objectives of the course, objectives, methodology of delivery, and credits.
- Review process is co-ordinated by Course Review Committee(CRC).
- Proposal Review Form (Form No. DLC 2) helps evaluators to put forth their recommendations. Internal and external subject experts are involved in this process.
- Digital content prepared is put through further review using The Digital Content Review Form (Lecture-wise) (Form DLC 3), again involving internal and external experts.
The above process is followed by all the departments. The organisation of the CSE’s Departmental Digital Examiner (DDE) Committee is given below:
CSE Department Review Committee:
- Dr. Anuja Arora - Chairperson of DDE committee of CS
- Dr. Mukesh Saraswat - DDE Committee Member
- Dr. Ankita Wadhwa - DDE Committee Member
Courses under Preparations:
| Artificial Intelligence and Machine Learning |
Dr. Dharmveer Singh Rajpoot |
| Introduction to Artificial Intelligence, Search Techniques, Game Theory, Knowledge Representation, Reasoning, Machine Learning, Supervised Learning, Unsupervised learning, reinforcement learning, boosting techniques, quality measures. |
| Data Analytics using Python |
Dr. Sonal + Sherry Garg |
| The objective of course entitled ‘Data Analytics using Python’ is to understand the various phases of data analytics for a given business problem. The students will learn, apply and analyze. |
| Cyber Security |
Dr. Shardha Porwal |
| The "Cyber Security" course covers all aspects of security including cryptography fundamentals, various attacks, and network, device, application security. It also includes a number of security tools to provide students with in-depth perception. |
| Programming in C |
Dr. Manish K. Thakur |
| Fundamentals of C programming- IDE, Compilers, Character set, Tokens, Variables, Constants, Data types and memory requirements, Scope of variables, Storage class; Operators- Unary, Binary and Ternary Operators; Program control statements- if, if-else, loops- for, while, do-while; Arrays- 1D and 2D, strings; Functions- call by value and call by reference; Structures and Union; Pointers and arithmetical operations with pointers; File handling in C. |
| Programming in C++ |
Dr. Pulkit Mehndiratta |
| With fast rendering and adaptability, C++ programming language used everywhere from browsers to game development and operating system and machine learning tools. This course can help learners to get hands-on experience to create own projects and showcase the experience . |
| Programming in Python |
Dr. Sakshi Agarwal |
| This course will help to improve programming skills by building the logical thinking. This course is designed to teach the basics of programming computers using Python. It will help to understand the benefits of programming; student will be able to write programs using Python. |
| R Programming Language (Lab Course) |
Dr. Megha Rathi + Dr. Neetu Sardana |
| This course covers the basics of R programming and data structures, data visualization, statistical analysis with R including hypothesis testing, programming in R using custom functions and packages, and advanced topics in R such as machine learning, graph analytics, object oriented concepts in R and database handling. |
| Java Programming Language (Lab Course) |
Dr. Kapil Madan |
| Overview of Object-Oriented Programming and Java Constructor and Destructor Interfaces, Abstract classes, Packages, IO streams, Multithreading, and Abstract Window Toolkit (AWT). |
| Google Cloud services |
Deepti |
| Cloud Computing fundamentals, essentials elements of cloud computing, Virtualization Technology, Virtual Machines, Virtual Machine Monitors. Providing Insights to cloud services and applications on Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure Cloud platforms. |
| Deep Learning |
Dr. Shikha Mehta + Dr. Payal Khurana Batra |
| Introduction to Deep Learning, need, applications, Neural Network fundamentals, Back propagation algorithm, convolutional Neural Network , Recurrent Neural Networks, Attention, Transformer, Encoder Decoder, Text and Image analysis applications using deep learning algorithms. |
| Mobile Application Development using Kotlin |
Dr. Arpita Jadav |
| In this course, you will get acquainted with Kotlin and learn how to develop and deploy variety of Android apps. The course includes basics of Android programming concepts required to build real-time Android apps using IntelliJ IDEA, Android studio and Kotlin programming language. The course starts with building simple real time apps to building complex apps using different Android architectural components. The course includes everything you require, to start your carrier as Android developer or publish your own apps on Play store. |
| Agile & Devops essential |
Dr. Sulabh |
| Agile and DevOps essentials is a comprehensive and industry ready course that is designed to cater the current needs of the IT industry. This course will cover the agile fundamentals and different practices of devops that will help the students to understand the concepts of Continuous Development, Continuous Integration and Continuous Delivery. |
| Cryptography and Security |
Dr. Amanpreet Kaur |
| This course will cover: brief history of cryptography, encryption (symmetric and asymmetric key), digital signatures, hash functions, message authentication codes, various protocols for security to protect against the threats in the networks. A few popular security mechanisms (e.g., Secure IP, SSL, PGP) will also be discussed. To understand various protocols for network security. |
| Operating System |
Dr. Anubhuti |
| The Operating System course proposes: Introduction and Historical context of Operating Systems, Structure and Architecture. Process Concepts, Threads & Concurrency, Scheduling Concurrency & Synchronization issues. Deadlocks detection , prevention and avoidance. Memory, File and Storage Management, OS security. |
| Data structure |
Prof. Krishna Asawa |
| The data structure Course Proposes the following content: Array,Linked list, Stack, Queue, Binary Tree and Heap, Binary Search Tree, Index Tree, Hash Table, Disjoint Set, Dictionary, Graph, Trie and Suffix Tree. |
| Big data processing with Hadoop and Spar |
Dr. Shikha Mehta |
| Introduction to Big Data, Types, Characteristics, Data Analysis using Hadoop , Hive and PigLatin. Big data processing with Spark, SparkSQL, SoarkML. |
| Nature Inspired Algorithm |
Dr. Mukesh saraswat+ Dr. Raju Pal |
| Nature Inspired Algorithms are used to solve various complex optimization problems. This course will provide an insight about the concepts of single-objective optimization and multi-objective optimization along with their applicability in various real world application. |
| Database and Web |
Dr. Devpriya Soni |
| The course aims to familiarize students with the basic concepts underlying a DBMS. Such as Relational schema, ER, EER, multimedia data types, entity and referential integrity, Relational Algebra, SQL, PL/SQL, Data dependencies and normalization, Transaction, concurrency control and recovery. It will also give them exposure of historical context of Databases and Web, NoSQL database, Web Architecture, HTML, CSS, Java script, PHP, database connectivity. |
| Theoretical Foundations of Computer Science |
Dr. Himanshu Aggarwal |
| It is an introductory course on Theoretical Foundations of Computer Science intended for undergraduate students in Computer Science & Engineering and Information Technology. In this course we will introduce the basic concepts of propositional & predicate logic, sets, functions, recursion, induction, counting, combinatorics, relations, closures of relations, equivalence relations, partial orderings, Hasse diagrams, lattices; graphs, Euler and Hamiltonian paths, planar graphs, Boolean algebra, properties and applications. Then, we will introduce the automata theory: finite Automata and regular languages, non-regular languages, context free languages, Turing machine and its examples. |
| Basics of computers and programming |
Dharmveer Singh Rajpoot |
| Introduction, logic building, puzzles, software development life cycle, logic flow chart, pseudo code, operators, numbers system, data types, flow control. |
Workshops / Events conducted:
- Training on “E-Content Development for Blended Learning”, February 22-24, 2023, by NITTTR, Chennai
- Workshop on “Quality Preparation of Lecture Material”, November 4, 2022, Prof. Srinivasa K G, NITTTR Chandigarh
- Two Days Online Training on "Online Teaching and Evaluation”conducted by NITTTR, Chennai, 10-11 Jan 2022
- Webinar on “IPR And Copyright For Digital Content”,July 6, 2021, Dr. K.S. GIRIDHARAN Assistant Professor, DEPARTMENT OF ENGINEERING EDUCATION, NITTTR, Chennai.
- Invited Talk on “Teaching Learning Process And Effective Online Teaching”, April 15th, 2021, Dr. US Sahu, Associate Professor, NITTTR Hyderabad
- Invited Talk on “Opportunities in Online Education” , March 10th, 2021, Dr. Manpreet Singh Manna, Assoc Prof, SLIET; Former Director AICTE
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