This course provides knowledge on Stacks, Queues, Linked Lists, Trees and Heap. The knowledge of C language and data structures will be reinforced by practical exercises during the course of study. The course will help students to develop the capability to select and design data structures for algorithms that are appropriate for problems that they might encounter. 

1. Understand, Practice and Assimilate fundamentals of data structures and their applications essential for programming/problem solving.
2. Describe, Apply and Design the Linear Data Structures: Stack, Queues, Lists.
3. Describe, Apply and Design  the Non-Linear Data Structures such as Trees and Graphs
4. Identify appropriate data structure during program development/Problem Solving

The Abstract Data Type, Model for an Abstract Data Type,Data Structure Definition, Classification   of data structures, Operations on data structures, Stack ADT: Definition, Array Implementation of stack, Operations on stack, Stack Applications-Conversion of expression, Evaluation of postfix expression.

Experiment 1: Develop and Implement a menu driven Program in C for the different operations on STACK.

Experiment 2: Develop and Implement a Program in C for the Stack Applications.

The Abstract Data Type, Model for an Abstract Data Type,Data Structure Definition, Classification   of data structures, Operations on data structures, Stack ADT: Definition, Array Implementation of stack, Operations on stack, Stack Applications-Conversion of expression, Evaluation of postfix expression.

Experiment 1: Develop and Implement a menu driven Program in C for the different operations on STACK.

Experiment 2: Develop and Implement a Program in C for the Stack Applications.

The Abstract Data Type, Model for an Abstract Data Type,Data Structure Definition, Classification   of data structures, Operations on data structures, Stack ADT: Definition, Array Implementation of stack, Operations on stack, Stack Applications-Conversion of expression, Evaluation of postfix expression.

Experiment 1: Develop and Implement a menu driven Program in C for the different operations on STACK.

Experiment 2: Develop and Implement a Program in C for the Stack Applications.

The Abstract Data Type, Model for an Abstract Data Type,Data Structure Definition, Classification   of data structures, Operations on data structures, Stack ADT: Definition, Array Implementation of stack, Operations on stack, Stack Applications-Conversion of expression, Evaluation of postfix expression.

Experiment 1: Develop and Implement a menu driven Program in C for the different operations on STACK.

Experiment 2: Develop and Implement a Program in C for the Stack Applications.

The Abstract Data Type, Model for an Abstract Data Type,Data Structure Definition, Classification   of data structures, Operations on data structures, Stack ADT: Definition, Array Implementation of stack, Operations on stack, Stack Applications-Conversion of expression, Evaluation of postfix expression.

Experiment 1: Develop and Implement a menu driven Program in C for the different operations on STACK.

Experiment 2: Develop and Implement a Program in C for the Stack Applications.

The Queue ADT: Definition, Array Implementation of queue, Types of queues: Simple queue, Circular queue, Double ended queue (de -queue), Operations on all types of Queues, Priority Queues, Applications of Queues.

Experiment 3: Develop and Implement a menu driven Program in C for the different   operations on Linear QUEUE ADT.

Experiment 4: Develop and Implement a menu driven Program in C for the different  operations on Circular QUEUE

The Queue ADT: Definition, Array Implementation of queue, Types of queues: Simple queue, Circular queue, Double ended queue (de -queue), Operations on all types of Queues, Priority Queues, Applications of Queues.

Experiment 3: Develop and Implement a menu driven Program in C for the different   operations on Linear QUEUE ADT.

Experiment 4: Develop and Implement a menu driven Program in C for the different  operations on Circular QUEUE

The Queue ADT: Definition, Array Implementation of queue, Types of queues: Simple queue, Circular queue, Double ended queue (de -queue), Operations on all types of Queues, Priority Queues, Applications of Queues.

Experiment 3: Develop and Implement a menu driven Program in C for the different   operations on Linear QUEUE ADT.

Experiment 4: Develop and Implement a menu driven Program in C for the different  operations on Circular QUEUE

The Queue ADT: Definition, Array Implementation of queue, Types of queues: Simple queue, Circular queue, Double ended queue (de -queue), Operations on all types of Queues, Priority Queues, Applications of Queues.

Experiment 3: Develop and Implement a menu driven Program in C for the different   operations on Linear QUEUE ADT.

Experiment 4: Develop and Implement a menu driven Program in C for the different  operations on Circular QUEUE

The Queue ADT: Definition, Array Implementation of queue, Types of queues: Simple queue, Circular queue, Double ended queue (de -queue), Operations on all types of Queues, Priority Queues, Applications of Queues.

Experiment 3: Develop and Implement a menu driven Program in C for the different   operations on Linear QUEUE ADT.

Experiment 4: Develop and Implement a menu driven Program in C for the different  operations on Circular QUEUE

The List ADT: Singly linked list implementation, Double linked list implementation, insertion, deletion and searching operations on all List implementation, Concepts of Circular linked list, Array implementation of Lists, Implementation of stacks and queues using Single Linked List, Applications of linked list.

Experiment 5: Develop and Implement a menu driven Program in C for the different operations on Singly Linked List (SLL).

Experiment 6: Develop and Implement a menu driven Program in C for the different operations on Doubly Linked List (DLL).

The List ADT: Singly linked list implementation, Double linked list implementation, insertion, deletion and searching operations on all List implementation, Concepts of Circular linked list, Array implementation of Lists, Implementation of stacks and queues using Single Linked List, Applications of linked list.

Experiment 5: Develop and Implement a menu driven Program in C for the different operations on Singly Linked List (SLL).

Experiment 6: Develop and Implement a menu driven Program in C for the different operations on Doubly Linked List (DLL).

The List ADT: Singly linked list implementation, Double linked list implementation, insertion, deletion and searching operations on all List implementation, Concepts of Circular linked list, Array implementation of Lists, Implementation of stacks and queues using Single Linked List, Applications of linked list.

Experiment 5: Develop and Implement a menu driven Program in C for the different operations on Singly Linked List (SLL).

Experiment 6: Develop and Implement a menu driven Program in C for the different operations on Doubly Linked List (DLL).

The List ADT: Singly linked list implementation, Double linked list implementation, insertion, deletion and searching operations on all List implementation, Concepts of Circular linked list, Array implementation of Lists, Implementation of stacks and queues using Single Linked List, Applications of linked list.

Experiment 5: Develop and Implement a menu driven Program in C for the different operations on Singly Linked List (SLL).

Experiment 6: Develop and Implement a menu driven Program in C for the different operations on Doubly Linked List (DLL).

The List ADT: Singly linked list implementation, Double linked list implementation, insertion, deletion and searching operations on all List implementation, Concepts of Circular linked list, Array implementation of Lists, Implementation of stacks and queues using Single Linked List, Applications of linked list.

Experiment 5: Develop and Implement a menu driven Program in C for the different operations on Singly Linked List (SLL).

Experiment 6: Develop and Implement a menu driven Program in C for the different operations on Doubly Linked List (DLL).

Preliminaries, Binary Trees, Tree Traversals, Binary Search Trees, AVL Trees, Splay trees, B-Tree, Expression tree, Heaps ADT- Binary Heap, Application of Trees.

Experiment 7: Develop and Implement a menu driven Program in C for the different operations on Binary Search Tree (BST).

Experiment 8: Develop and Implement a program in C to create a max heap/Min heap.

Preliminaries, Binary Trees, Tree Traversals, Binary Search Trees, AVL Trees, Splay trees, B-Tree, Expression tree, Heaps ADT- Binary Heap, Application of Trees.

Experiment 7: Develop and Implement a menu driven Program in C for the different operations on Binary Search Tree (BST).

Experiment 8: Develop and Implement a program in C to create a max heap/Min heap.

Preliminaries, Binary Trees, Tree Traversals, Binary Search Trees, AVL Trees, Splay trees, B-Tree, Expression tree, Heaps ADT- Binary Heap, Application of Trees.

Experiment 7: Develop and Implement a menu driven Program in C for the different operations on Binary Search Tree (BST).

Experiment 8: Develop and Implement a program in C to create a max heap/Min heap.

Preliminaries, Binary Trees, Tree Traversals, Binary Search Trees, AVL Trees, Splay trees, B-Tree, Expression tree, Heaps ADT- Binary Heap, Application of Trees.

Experiment 7: Develop and Implement a menu driven Program in C for the different operations on Binary Search Tree (BST).

Experiment 8: Develop and Implement a program in C to create a max heap/Min heap.

Preliminaries, Binary Trees, Tree Traversals, Binary Search Trees, AVL Trees, Splay trees, B-Tree, Expression tree, Heaps ADT- Binary Heap, Application of Trees.

Experiment 7: Develop and Implement a menu driven Program in C for the different operations on Binary Search Tree (BST).

Experiment 8: Develop and Implement a program in C to create a max heap/Min heap.

Introduction to Graphs, Graph Traversals-DFS, BFS, Minimum Spanning Tree – Prim’s and Kruskal's Algorithm, Single -Source Shortest Paths– Bellman-Ford algorithm and Dijkstra’s Algorithm, Applications of Graphs

Experiment 9: Develop and Implement Minimum spanning tree using Prims Algorithm.

Experiment 10: Develop and Implement Single source shortest path using Dijkstra’s Algorithm.

Introduction to Graphs, Graph Traversals-DFS, BFS, Minimum Spanning Tree – Prim’s and Kruskal's Algorithm, Single -Source Shortest Paths– Bellman-Ford algorithm and Dijkstra’s Algorithm, Applications of Graphs

Experiment 9: Develop and Implement Minimum spanning tree using Prims Algorithm.

Experiment 10: Develop and Implement Single source shortest path using Dijkstra’s Algorithm.

Introduction to Graphs, Graph Traversals-DFS, BFS, Minimum Spanning Tree – Prim’s and Kruskal's Algorithm, Single -Source Shortest Paths– Bellman-Ford algorithm and Dijkstra’s Algorithm, Applications of Graphs

Experiment 9: Develop and Implement Minimum spanning tree using Prims Algorithm.

Experiment 10: Develop and Implement Single source shortest path using Dijkstra’s Algorithm.

Introduction to Graphs, Graph Traversals-DFS, BFS, Minimum Spanning Tree – Prim’s and Kruskal's Algorithm, Single -Source Shortest Paths– Bellman-Ford algorithm and Dijkstra’s Algorithm, Applications of Graphs

Experiment 9: Develop and Implement Minimum spanning tree using Prims Algorithm.

Experiment 10: Develop and Implement Single source shortest path using Dijkstra’s Algorithm.

Introduction to Graphs, Graph Traversals-DFS, BFS, Minimum Spanning Tree – Prim’s and Kruskal's Algorithm, Single -Source Shortest Paths– Bellman-Ford algorithm and Dijkstra’s Algorithm, Applications of Graphs

Experiment 9: Develop and Implement Minimum spanning tree using Prims Algorithm.

Experiment 10: Develop and Implement Single source shortest path using Dijkstra’s Algorithm.

R2. Data Structures: A Pseudocode approach with C, Richard F. Gilberg and Behrouz A, Forouzan, Thomson, Second Edition,2016.

(Scaled: CIA (Theory + Practical) –  70  Marks & ESE – 30 Marks)

Course Description

Through practical exercises and project-based learning, students will develop critical thinking, problem-solving, collaboration skills, and the ability to learn how to learn. In addition, they will gain highly sought-after skills in Java programming, database connectivity, and web development, which are essential for employability as Java developers, as well as learning how to identify and develop ideas for Java-based applications that can be turned into successful businesses. Furthermore, the course will cover cross-cutting needs such as ethics, sustainability, and inclusivity in software development to ensure that students can develop responsible and sustainable applications.

Course Objectives:

1.  Software development in business environments has become more sophisticated, the software implementation is becoming increasingly complex and requires the best programming paradigm which helps to eliminate complexity of large projects.

2.  Object Oriented Programming (OOP) has become the predominant technique for writing software at present. Many other important software development techniques are based upon the fundamental ideas captured by object-oriented programming.

3. The course also caters to the understanding of event driven programming, generic programming and concurrent programming.

Java History-JavaVirtual Machine, Command Line Arguments, - Elements of Java Language- Introduction to objects, Classes – Attributes and methods – Simple classes Circle,Employee,Student etc.-Control structures – If structure – nested if – break – Labeled break – switch structure - Loop Structures – For – While  – Do while – Nested.

Java History-JavaVirtual Machine, Command Line Arguments, - Elements of Java Language- Introduction to objects, Classes – Attributes and methods – Simple classes Circle,Employee,Student etc.-Control structures – If structure – nested if – break – Labeled break – switch structure - Loop Structures – For – While  – Do while – Nested.

Java History-JavaVirtual Machine, Command Line Arguments, - Elements of Java Language- Introduction to objects, Classes – Attributes and methods – Simple classes Circle,Employee,Student etc.-Control structures – If structure – nested if – break – Labeled break – switch structure - Loop Structures – For – While  – Do while – Nested.

Java History-JavaVirtual Machine, Command Line Arguments, - Elements of Java Language- Introduction to objects, Classes – Attributes and methods – Simple classes Circle,Employee,Student etc.-Control structures – If structure – nested if – break – Labeled break – switch structure - Loop Structures – For – While  – Do while – Nested.

Java History-JavaVirtual Machine, Command Line Arguments, - Elements of Java Language- Introduction to objects, Classes – Attributes and methods – Simple classes Circle,Employee,Student etc.-Control structures – If structure – nested if – break – Labeled break – switch structure - Loop Structures – For – While  – Do while – Nested.

Overview of Object oriented Program-Classes and Objects–Constructors – Multiple constructors-Encapsulation and access modifiers,Overriding - Inheritance and polymorphism, - Real life examples of polymorphism and inheritance -Abstract classes and Interfaces.

Overview of Object oriented Program-Classes and Objects–Constructors – Multiple constructors-Encapsulation and access modifiers,Overriding - Inheritance and polymorphism, - Real life examples of polymorphism and inheritance -Abstract classes and Interfaces.

Overview of Object oriented Program-Classes and Objects–Constructors – Multiple constructors-Encapsulation and access modifiers,Overriding - Inheritance and polymorphism, - Real life examples of polymorphism and inheritance -Abstract classes and Interfaces.

Overview of Object oriented Program-Classes and Objects–Constructors – Multiple constructors-Encapsulation and access modifiers,Overriding - Inheritance and polymorphism, - Real life examples of polymorphism and inheritance -Abstract classes and Interfaces.

Overview of Object oriented Program-Classes and Objects–Constructors – Multiple constructors-Encapsulation and access modifiers,Overriding - Inheritance and polymorphism, - Real life examples of polymorphism and inheritance -Abstract classes and Interfaces.

Exception Handling and Packages:   Handling exceptions with try-catch blocks, Creating custom exceptions, Handling checked and unchecked exceptions, Finally  blocks.  Defining  Package,  CLASSPATH,  Importing  Packages. Generic Programming: Generic Classes – Generic Methods.

Exception Handling and Packages:   Handling exceptions with try-catch blocks, Creating custom exceptions, Handling checked and unchecked exceptions, Finally  blocks.  Defining  Package,  CLASSPATH,  Importing  Packages. Generic Programming: Generic Classes – Generic Methods.

Exception Handling and Packages:   Handling exceptions with try-catch blocks, Creating custom exceptions, Handling checked and unchecked exceptions, Finally  blocks.  Defining  Package,  CLASSPATH,  Importing  Packages. Generic Programming: Generic Classes – Generic Methods.

Exception Handling and Packages:   Handling exceptions with try-catch blocks, Creating custom exceptions, Handling checked and unchecked exceptions, Finally  blocks.  Defining  Package,  CLASSPATH,  Importing  Packages. Generic Programming: Generic Classes – Generic Methods.

Exception Handling and Packages:   Handling exceptions with try-catch blocks, Creating custom exceptions, Handling checked and unchecked exceptions, Finally  blocks.  Defining  Package,  CLASSPATH,  Importing  Packages. Generic Programming: Generic Classes – Generic Methods.

Introduction to Multithreading and Concurrency:  Understanding Threads and Processes,Creating Threads,Thread States,Thread Scheduling, Synchronization -using Locks.   Deadlocks and their Prevention,Thread Communication using wait(), notify(), and notifyAll() methods.

Introduction to Multithreading and Concurrency:  Understanding Threads and Processes,Creating Threads,Thread States,Thread Scheduling, Synchronization -using Locks.   Deadlocks and their Prevention,Thread Communication using wait(), notify(), and notifyAll() methods.

Introduction to Multithreading and Concurrency:  Understanding Threads and Processes,Creating Threads,Thread States,Thread Scheduling, Synchronization -using Locks.   Deadlocks and their Prevention,Thread Communication using wait(), notify(), and notifyAll() methods.

Introduction to Multithreading and Concurrency:  Understanding Threads and Processes,Creating Threads,Thread States,Thread Scheduling, Synchronization -using Locks.   Deadlocks and their Prevention,Thread Communication using wait(), notify(), and notifyAll() methods.

Introduction to Multithreading and Concurrency:  Understanding Threads and Processes,Creating Threads,Thread States,Thread Scheduling, Synchronization -using Locks.   Deadlocks and their Prevention,Thread Communication using wait(), notify(), and notifyAll() methods.

Graphical User Interfaces–Windows and Frames – AWT Graphics class – Introduction  to Swing–SwingComponents-Creating windows with buttons, labels,  checkbox,  choice,  text  area,  textbox  etc.-Event handling and Layout Management.

Graphical User Interfaces–Windows and Frames – AWT Graphics class – Introduction  to Swing–SwingComponents-Creating windows with buttons, labels,  checkbox,  choice,  text  area,  textbox  etc.-Event handling and Layout Management.

Graphical User Interfaces–Windows and Frames – AWT Graphics class – Introduction  to Swing–SwingComponents-Creating windows with buttons, labels,  checkbox,  choice,  text  area,  textbox  etc.-Event handling and Layout Management.

Graphical User Interfaces–Windows and Frames – AWT Graphics class – Introduction  to Swing–SwingComponents-Creating windows with buttons, labels,  checkbox,  choice,  text  area,  textbox  etc.-Event handling and Layout Management.

Graphical User Interfaces–Windows and Frames – AWT Graphics class – Introduction  to Swing–SwingComponents-Creating windows with buttons, labels,  checkbox,  choice,  text  area,  textbox  etc.-Event handling and Layout Management.

T1.  C.  Xavier,  Object  Oriented  Programming  Paradigm  with  JAVA,  New  Age

International Publishers, INDIA, (2024)

T2.    Herbert  Schildt,  "Java:  The  Complete  Reference"  by,  12th   edition,  McGraw

Hill(2021)

CIA 2 – 50 Marks

CIA 3 – 20 Marks

Practical – 50 Marks

End Semester Examination – 100 Marks

Attendance – 5 Marks

(Scaled: CIA (Theory + Practical) –  70  Marks & ESE – 30 Marks)

Course Description:

The course covers contents from basics of XR(AR-VR-MR), Unity Basic concepts, Introductory concepts of C# programming, functions of Augmented Reality.

Course objectives:

Students should be able to:

● Understand the core concepts and applications of Extended Reality (XR).

● Navigate and utilize the Unity platform proficiently for XR development.

● Develop XR experiences using C# scripting for interactive elements.

● Create Augmented Reality (AR) applications and Virtual/Mixed Reality (VR/MR) environments.

• Design and implement immersive user interfaces tailored for XR applications.

Introduction to immersive technologies and environments, XR hardwares, XR softwares, Design principles ,Computer graphics, UI and UX, Applications and benefits of immersive tech.

Introduction to immersive technologies and environments, XR hardwares, XR softwares, Design principles ,Computer graphics, UI and UX, Applications and benefits of immersive tech.

Introduction to immersive technologies and environments, XR hardwares, XR softwares, Design principles ,Computer graphics, UI and UX, Applications and benefits of immersive tech.

Introduction to immersive technologies and environments, XR hardwares, XR softwares, Design principles ,Computer graphics, UI and UX, Applications and benefits of immersive tech.

Introduction to immersive technologies and environments, XR hardwares, XR softwares, Design principles ,Computer graphics, UI and UX, Applications and benefits of immersive tech.

Unity ID creation and login, Unity interface basics: Creating a scene in unity, importing 3d models: Lighting. 3D Animations in unity , Basic mechanisms(physics and non physics) , Audio and effects , User interface, Buttons.

Unity ID creation and login, Unity interface basics: Creating a scene in unity, importing 3d models: Lighting. 3D Animations in unity , Basic mechanisms(physics and non physics) , Audio and effects , User interface, Buttons.

Unity ID creation and login, Unity interface basics: Creating a scene in unity, importing 3d models: Lighting. 3D Animations in unity , Basic mechanisms(physics and non physics) , Audio and effects , User interface, Buttons.

Unity ID creation and login, Unity interface basics: Creating a scene in unity, importing 3d models: Lighting. 3D Animations in unity , Basic mechanisms(physics and non physics) , Audio and effects , User interface, Buttons.

Unity ID creation and login, Unity interface basics: Creating a scene in unity, importing 3d models: Lighting. 3D Animations in unity , Basic mechanisms(physics and non physics) , Audio and effects , User interface, Buttons.

Data types, variables and operators.Control structures: If statements and loops. Classes, objects and methods, Using functions to add properties to objects in the scene,changing colors  via  scripts  and  UI,switching  between  scenes.

Data types, variables and operators.Control structures: If statements and loops. Classes, objects and methods, Using functions to add properties to objects in the scene,changing colors  via  scripts  and  UI,switching  between  scenes.

Data types, variables and operators.Control structures: If statements and loops. Classes, objects and methods, Using functions to add properties to objects in the scene,changing colors  via  scripts  and  UI,switching  between  scenes.

Data types, variables and operators.Control structures: If statements and loops. Classes, objects and methods, Using functions to add properties to objects in the scene,changing colors  via  scripts  and  UI,switching  between  scenes.

Data types, variables and operators.Control structures: If statements and loops. Classes, objects and methods, Using functions to add properties to objects in the scene,changing colors  via  scripts  and  UI,switching  between  scenes.

Introduction to AR basics, Plane tracking, AR Foundation, ARCore/ARKit,Building AR experiences.

Introduction to AR basics, Plane tracking, AR Foundation, ARCore/ARKit,Building AR experiences.

Introduction to AR basics, Plane tracking, AR Foundation, ARCore/ARKit,Building AR experiences.

Introduction to AR basics, Plane tracking, AR Foundation, ARCore/ARKit,Building AR experiences.

Introduction to AR basics, Plane tracking, AR Foundation, ARCore/ARKit,Building AR experiences.

Setup for VR/MR in unity. Creating and configuring scenes, Using “Building Blocks” from meta for setting up interaction. UI/UX in VR:MR. Using depth sensors and modal features for mixed reality.

Setup for VR/MR in unity. Creating and configuring scenes, Using “Building Blocks” from meta for setting up interaction. UI/UX in VR:MR. Using depth sensors and modal features for mixed reality.

Setup for VR/MR in unity. Creating and configuring scenes, Using “Building Blocks” from meta for setting up interaction. UI/UX in VR:MR. Using depth sensors and modal features for mixed reality.

Setup for VR/MR in unity. Creating and configuring scenes, Using “Building Blocks” from meta for setting up interaction. UI/UX in VR:MR. Using depth sensors and modal features for mixed reality.

Setup for VR/MR in unity. Creating and configuring scenes, Using “Building Blocks” from meta for setting up interaction. UI/UX in VR:MR. Using depth sensors and modal features for mixed reality.

https://learn.unity.com/pathway/unity-essentials

https://learn.unity.com/pathway/mobile-ar- development

https://learn.unity.com/pathway/vr-development

ESE: 50 Marks

(Scaled CIA 25 Marks and ESE 25 Marks)

 Course Description:

This course provides a comprehensive introduction to the fundamental principles of digital systems and computer architecture. Students will explore the key components that constitute modern computer systems and gain an understanding of their organization and functionality. The course aims to develop a solid foundation in digital logic, computer arithmetic, and the architecture of central processing units (CPUs). Practical aspects of computer organization and design are emphasized through hands-on exercises, projects, and case studies.

Course Objective:

1 To understand the basic structure and operation of basic digital circuits and digital computers.

2 To discuss in detail arithmetic operations in digital system.

3 To discuss generation of control signals and different ways of communication with I/O devices.

 4 To study the hierarchical memory and principles of advanced computing.

Overview of Digital Systems, Boolean Algebra and Logic Gates, Combinational Logic: Design and Analysis, Sequential Logic: Flip-Flops and Registers

Addition and Subtraction – Multiplication – Division – Floating Point Representation – Floating Point Operations ,Fixed-Point Arithmetic,Floating-Point Arithmetic: Representation of real numbers in floating-point format.

Functional Units – Basic Operational Concepts – Performance – Instructions: Language of the Computer – Operations, Operands – Instruction representation – Logical operations – decision making – MIPS Addressing.

A Basic MIPS implementation – Building a Datapath – Control Implementation Scheme – Pipelining – Pipelined Datapath and control – Handling Data Hazards, Structural Hazards & Control Hazards – Exceptions.

Memory Hierarchy - Memory Technologies – Cache Memory – Measuring and improving cache performance – Virtual memory, TLB - Hard Disk Drives and Solid-State Drives,File Systems and Storage Technologies and Trends,Accessing I/O Devices – Interrupts – Direct Memory Access – Bus structure – Bus operation – Arbitration

2. M Morris Mano, Michael D. Ciletti Digital Design, 5/e, Pearson Education, 2011.

3.  Digital Design and Computer Architecture" by David Money Harris and Sarah L. Harris, Second Edition, 2013

4. John L. Hennessey and David A. Patterson, “Computer Architecture –A Quantitative Approach”, Fifth Edition, Morgan Kaufmann / Elsevier Publishers, 2012.

(Scaled: CIA – 50 Marks & ESE – 50 Marks)

Course Description: A strong foundation of basic artificial intelligence topics is provided by this course. To give a fundamental explanation of the objectives and approaches and to give the student the ability to use these strategies in applications involving perception, thinking, and learning.

Course Objective:

1. To interpret the basic concepts of Artificial Intelligence and Production Systems
2. To outline and apply searching techniques
3. To learn and infer about knowledge representation for various logic
4. To learn and apply Game Playing and planning concepts for toy problems
5. To summarize the concepts of Learning.

Introduction, Definition, Future of Artificial Intelligence, Characteristics, Typical Intelligent agents, Problem-solving approach, Problem-Solving methods, example problems – searching for solutions. 

Informed Heuristics Search Strategies -Heuristic function - Greedy - best -first search-A* Algorithms. Local search algorithms and optimization problems –Hill-climbing Search, Local beam Search, Genetic algorithm -Searching with partial observations. 

Games – Optimal decisions in games –Min-Max algorithm- Alpha – Beta Pruning –imperfect real-time decision –Stochastic Games. Planning - The Blocks world, components of the planning system, Goal stack Planning. 

First-order logic – Syntax and semantics for first-order logic – Using first-order logic – Inference in First-order logic – unification and lifting – forward chaining – backward chaining. 

Learning from Examples: Forms of Learning - Supervised learning - Learning Decision Trees - Regression and classification with linear models, Artificial Neural Networks. Knowledge in Learning: Logical formulation of learning. 

·      CIA 2 – 50 Marks

·      CIA 3 – 20 Marks

·      Practical – 50 Marks

·      End Semester Examination – 50 Marks

·      Attendance – 5 Marks 

(Scaled: CIA (Theory + Practical) –  70  Marks & ESE – 30 Marks)

Course Description: 

This course introduces ethical hacking and penetration testing, focusing on practical techniques and tools ethical hackers use to assess and improve the security of computer systems and networks. 

Course Objective:

1. Understand the ethical hacking methodology and the phases of an attack, including reconnaissance, scanning, enumeration, and exploitation.

2. Develop proficiency in applying ethical hacking techniques and tools to identify security vulnerabilities and assess the security posture of computer systems and networks.

Importance of Security: Threats and Vulnerabilities, Attacks, Security Breaches, Exposure - Elements of Security: Accountability, Reusability The Security, Functionality, and Ease of Use Triangle - Phases of an Attack - Types of Hacker Attacks - Hacktivism - Ethical Hackers - Ethical Considerations. 

Importance of Security: Threats and Vulnerabilities, Attacks, Security Breaches, Exposure - Elements of Security: Accountability, Reusability The Security, Functionality, and Ease of Use Triangle - Phases of an Attack - Types of Hacker Attacks - Hacktivism - Ethical Hackers - Ethical Considerations. 

Importance of Security: Threats and Vulnerabilities, Attacks, Security Breaches, Exposure - Elements of Security: Accountability, Reusability The Security, Functionality, and Ease of Use Triangle - Phases of an Attack - Types of Hacker Attacks - Hacktivism - Ethical Hackers - Ethical Considerations. 

Importance of Security: Threats and Vulnerabilities, Attacks, Security Breaches, Exposure - Elements of Security: Accountability, Reusability The Security, Functionality, and Ease of Use Triangle - Phases of an Attack - Types of Hacker Attacks - Hacktivism - Ethical Hackers - Ethical Considerations. 

Importance of Security: Threats and Vulnerabilities, Attacks, Security Breaches, Exposure - Elements of Security: Accountability, Reusability The Security, Functionality, and Ease of Use Triangle - Phases of an Attack - Types of Hacker Attacks - Hacktivism - Ethical Hackers - Ethical Considerations. 

Footprinting - Types - Information Gathering Methodology: Unearthing Initial Information, People Searching, Information Gathering Stances - Footprinting Tools.

Footprinting - Types - Information Gathering Methodology: Unearthing Initial Information, People Searching, Information Gathering Stances - Footprinting Tools.

Footprinting - Types - Information Gathering Methodology: Unearthing Initial Information, People Searching, Information Gathering Stances - Footprinting Tools.

Footprinting - Types - Information Gathering Methodology: Unearthing Initial Information, People Searching, Information Gathering Stances - Footprinting Tools.

Footprinting - Types - Information Gathering Methodology: Unearthing Initial Information, People Searching, Information Gathering Stances - Footprinting Tools.

Introduction - Types - Scanning Methodology: Live Systems, Open Ports, Fingerprint the Operating System, Vulnerabilities Scan, Probe the Network, Anonymous Surfing, Countermeasures - Scanning Tools.

Introduction - Types - Scanning Methodology: Live Systems, Open Ports, Fingerprint the Operating System, Vulnerabilities Scan, Probe the Network, Anonymous Surfing, Countermeasures - Scanning Tools.

Introduction - Types - Scanning Methodology: Live Systems, Open Ports, Fingerprint the Operating System, Vulnerabilities Scan, Probe the Network, Anonymous Surfing, Countermeasures - Scanning Tools.

Introduction - Types - Scanning Methodology: Live Systems, Open Ports, Fingerprint the Operating System, Vulnerabilities Scan, Probe the Network, Anonymous Surfing, Countermeasures - Scanning Tools.

Introduction - Types - Scanning Methodology: Live Systems, Open Ports, Fingerprint the Operating System, Vulnerabilities Scan, Probe the Network, Anonymous Surfing, Countermeasures - Scanning Tools.

Introduction - Types: User Enumeration, Service Enumeration, Network Enumeration, DNS Enumeration, SNMP Enumeration, OS Enumeration, File System Enumeration, Web Enumeration  - Techniques - Enumeration Tools.

Introduction - Types: User Enumeration, Service Enumeration, Network Enumeration, DNS Enumeration, SNMP Enumeration, OS Enumeration, File System Enumeration, Web Enumeration  - Techniques - Enumeration Tools.

Introduction - Types: User Enumeration, Service Enumeration, Network Enumeration, DNS Enumeration, SNMP Enumeration, OS Enumeration, File System Enumeration, Web Enumeration  - Techniques - Enumeration Tools.

Introduction - Types: User Enumeration, Service Enumeration, Network Enumeration, DNS Enumeration, SNMP Enumeration, OS Enumeration, File System Enumeration, Web Enumeration  - Techniques - Enumeration Tools.

Introduction - Types: User Enumeration, Service Enumeration, Network Enumeration, DNS Enumeration, SNMP Enumeration, OS Enumeration, File System Enumeration, Web Enumeration  - Techniques - Enumeration Tools.

Exploitation and Gaining Access - Cracking Passwords: Types, Password Attacks, Password Guessing, Password Cracking Tools, Countermeasures. Privilege Escalation - Keyloggers and Spyware - Post-Exploitation and Reporting.

Exploitation and Gaining Access - Cracking Passwords: Types, Password Attacks, Password Guessing, Password Cracking Tools, Countermeasures. Privilege Escalation - Keyloggers and Spyware - Post-Exploitation and Reporting.

Exploitation and Gaining Access - Cracking Passwords: Types, Password Attacks, Password Guessing, Password Cracking Tools, Countermeasures. Privilege Escalation - Keyloggers and Spyware - Post-Exploitation and Reporting.

Exploitation and Gaining Access - Cracking Passwords: Types, Password Attacks, Password Guessing, Password Cracking Tools, Countermeasures. Privilege Escalation - Keyloggers and Spyware - Post-Exploitation and Reporting.

Exploitation and Gaining Access - Cracking Passwords: Types, Password Attacks, Password Guessing, Password Cracking Tools, Countermeasures. Privilege Escalation - Keyloggers and Spyware - Post-Exploitation and Reporting.

T1. James S. Tiller, “The Ethical Hack: A Framework for Business  Value Penetration Testing”, Auerbach Publications, CRC Press. 

T2. EC-Council, “Ethical Hacking and Countermeasures Attack  Phases”, Cengage Learning.

R1. Michael Simpson, Kent Backman, James Corley, “Hands-On  Ethical Hacking and Network Defense”, Cengage Learning.

• CIA 1 – 20 Marks
• CIA 2 – 50 Marks
• CIA 3 – 20 Marks
• Practical – 50 Marks
• End Semester Examination – 100 Marks
• Attendance – 5 Marks

(Scaled: CIA (Theory + Practical) –  70  Marks & ESE – 30 Marks)

Course Description:

This course is an introduction to statistical methods used for data analysis. It is s very structured course to give basic and useful insight to the world of data analytics and provides you the complete package to be comfortable using statistics and analyzing big data.

Course Objectives:

1. To discuss the core concepts Statistical Analytics and Data manipulation.

2. To apply the basic principles, models, and algorithms supervised and unsupervised learning mechanisms.

3. To analyze the use of SVM and Convolution Neural Networks in data science applications.

Knowledge discovery: finding structure in data, Data quality versus data quantity, Statistical modeling versus statistical description. Data types, Data summarization, Means, medians, and central tendency, Summarizing variation, Summarizing (bivariate) correlation, Data diagnostics and data transformation, Outlier analysis, Entropy, Data transformation Simple smoothing techniques, Binning, Moving averages, Exponential smoothing. Introduction to SPSS (IBM’s) statistical tool.

Knowledge discovery: finding structure in data, Data quality versus data quantity, Statistical modeling versus statistical description. Data types, Data summarization, Means, medians, and central tendency, Summarizing variation, Summarizing (bivariate) correlation, Data diagnostics and data transformation, Outlier analysis, Entropy, Data transformation Simple smoothing techniques, Binning, Moving averages, Exponential smoothing. Introduction to SPSS (IBM’s) statistical tool.

Knowledge discovery: finding structure in data, Data quality versus data quantity, Statistical modeling versus statistical description. Data types, Data summarization, Means, medians, and central tendency, Summarizing variation, Summarizing (bivariate) correlation, Data diagnostics and data transformation, Outlier analysis, Entropy, Data transformation Simple smoothing techniques, Binning, Moving averages, Exponential smoothing. Introduction to SPSS (IBM’s) statistical tool.

Knowledge discovery: finding structure in data, Data quality versus data quantity, Statistical modeling versus statistical description. Data types, Data summarization, Means, medians, and central tendency, Summarizing variation, Summarizing (bivariate) correlation, Data diagnostics and data transformation, Outlier analysis, Entropy, Data transformation Simple smoothing techniques, Binning, Moving averages, Exponential smoothing. Introduction to SPSS (IBM’s) statistical tool.

The simple linear model, Multiple inferences and simultaneous confidence bands, Regression diagnostics, Weighted least squares (WLS) regression, Correlation analysis. Unsupervised versus supervised learning, Principal component analysis, Principal components, Implementing a PCA, Exploratory factor analysis.

The simple linear model, Multiple inferences and simultaneous confidence bands, Regression diagnostics, Weighted least squares (WLS) regression, Correlation analysis. Unsupervised versus supervised learning, Principal component analysis, Principal components, Implementing a PCA, Exploratory factor analysis.

The simple linear model, Multiple inferences and simultaneous confidence bands, Regression diagnostics, Weighted least squares (WLS) regression, Correlation analysis. Unsupervised versus supervised learning, Principal component analysis, Principal components, Implementing a PCA, Exploratory factor analysis.

The simple linear model, Multiple inferences and simultaneous confidence bands, Regression diagnostics, Weighted least squares (WLS) regression, Correlation analysis. Unsupervised versus supervised learning, Principal component analysis, Principal components, Implementing a PCA, Exploratory factor analysis.

Projection Pursuit Regression, Neural Networks, Fitting Neural Network, Some Issues in Training Neural Networks, Bayesian Neural Nets, Computational Considerations.

Projection Pursuit Regression, Neural Networks, Fitting Neural Network, Some Issues in Training Neural Networks, Bayesian Neural Nets, Computational Considerations.

Projection Pursuit Regression, Neural Networks, Fitting Neural Network, Some Issues in Training Neural Networks, Bayesian Neural Nets, Computational Considerations.

Projection Pursuit Regression, Neural Networks, Fitting Neural Network, Some Issues in Training Neural Networks, Bayesian Neural Nets, Computational Considerations.

Introduction, The Support Vector Classifier, Support Vector Machines and Kernels, Generalizing Linear Discriminant Analysis, Flexible Discriminant Analysis, Penalized Discriminant Analysis, Mixture Discriminant Analysis.

Introduction, The Support Vector Classifier, Support Vector Machines and Kernels, Generalizing Linear Discriminant Analysis, Flexible Discriminant Analysis, Penalized Discriminant Analysis, Mixture Discriminant Analysis.

Introduction, The Support Vector Classifier, Support Vector Machines and Kernels, Generalizing Linear Discriminant Analysis, Flexible Discriminant Analysis, Penalized Discriminant Analysis, Mixture Discriminant Analysis.

Introduction, The Support Vector Classifier, Support Vector Machines and Kernels, Generalizing Linear Discriminant Analysis, Flexible Discriminant Analysis, Penalized Discriminant Analysis, Mixture Discriminant Analysis.

Definition of Random Forests, Details of Random Forests- Out of Bag Samples, Variable Importance, Proximity Plots; Analysis of Random Forests; Ensemble Learning, Boosting and Regularization Paths, Learning a Good Ensemble, Rule Ensembles.

Definition of Random Forests, Details of Random Forests- Out of Bag Samples, Variable Importance, Proximity Plots; Analysis of Random Forests; Ensemble Learning, Boosting and Regularization Paths, Learning a Good Ensemble, Rule Ensembles.

Definition of Random Forests, Details of Random Forests- Out of Bag Samples, Variable Importance, Proximity Plots; Analysis of Random Forests; Ensemble Learning, Boosting and Regularization Paths, Learning a Good Ensemble, Rule Ensembles.

Definition of Random Forests, Details of Random Forests- Out of Bag Samples, Variable Importance, Proximity Plots; Analysis of Random Forests; Ensemble Learning, Boosting and Regularization Paths, Learning a Good Ensemble, Rule Ensembles.

2. Russell, Stuart J., and Peter Norvig. Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited,, 2016.

2. Ian Goodfellow and Yoshua Bengio and Aaron Courville,” Deep Learning ”, MIT Press, March 2018.

3. Marcoulides, George A., and Scott L. Hershberger. Multivariate statistical methods: A first course. Psychology Press, 2014.

 (Scaled: CIA (Theory + Practical) –  70  Marks & ESE – 30 Marks)

Course Description:

In this introductory quantum computing course, students will learn the basic concepts of quantum computing and quantum information processing. The course covers the necessary prerequisites in mathematics, quantum mechanics, and computer science as the first module and then moves to quantum bits, quantum gates, quantum circuits, and basic quantum algorithms. The course will involve projects in quantum algorithm development using Python programming. The course concludes with a broad overview of quantum computing applications.

Course Objective:

After completing the course, students should be able to -

•Develop proficiency in linear algebra and complex numbers for quantum information processing

•Understand the principles of quantum mechanics, including wave functions and operators

•Mathematically explain qubit states, operations, multi-qubit systems, Hilbert space

•Mathematically explain superposition and entanglement properties of qubits

•Implement basic quantum gates, including X, Y, Z, Rx, Ry, Rz, Hadamard and CNOT gates

•Design quantum circuits for specific tasks like Binary Adder Circuits

•Understand basic application of superposition, interference, and entanglement in algorithm design

•Explain and reason about Deutsch-Jozsa Algorithm, Bernstein Vazirani Algorithm

•Implement basic quantum gates and quantum algorithms to create a quantum simulator in numpy

•Implement extended versions of basic quantum algorithms from scratch without using libraries

Note: The same objectives will be used in developing assignments, project assessments, and hands-on exercises.

Linear algebra fundamentals, complex numbers, vector spaces, Hilbert Space, eigenvalues and eigenvectors, basics of quantum mechanics, wave functions, probability amplitudes, operators, and observables.

Linear algebra fundamentals, complex numbers, vector spaces, Hilbert Space, eigenvalues and eigenvectors, basics of quantum mechanics, wave functions, probability amplitudes, operators, and observables.

Linear algebra fundamentals, complex numbers, vector spaces, Hilbert Space, eigenvalues and eigenvectors, basics of quantum mechanics, wave functions, probability amplitudes, operators, and observables.

Linear algebra fundamentals, complex numbers, vector spaces, Hilbert Space, eigenvalues and eigenvectors, basics of quantum mechanics, wave functions, probability amplitudes, operators, and observables.

Linear algebra fundamentals, complex numbers, vector spaces, Hilbert Space, eigenvalues and eigenvectors, basics of quantum mechanics, wave functions, probability amplitudes, operators, and observables.

Qubit, Bloch Sphere, Bra Ket notation, Single Qubit State, Composite state, Linear superposition, Basis states, Entanglement between qubits, Density Matrix Form, Quantum Computing Devices, Systems, Software, and Hardware

Qubit, Bloch Sphere, Bra Ket notation, Single Qubit State, Composite state, Linear superposition, Basis states, Entanglement between qubits, Density Matrix Form, Quantum Computing Devices, Systems, Software, and Hardware

Qubit, Bloch Sphere, Bra Ket notation, Single Qubit State, Composite state, Linear superposition, Basis states, Entanglement between qubits, Density Matrix Form, Quantum Computing Devices, Systems, Software, and Hardware

Qubit, Bloch Sphere, Bra Ket notation, Single Qubit State, Composite state, Linear superposition, Basis states, Entanglement between qubits, Density Matrix Form, Quantum Computing Devices, Systems, Software, and Hardware

Qubit, Bloch Sphere, Bra Ket notation, Single Qubit State, Composite state, Linear superposition, Basis states, Entanglement between qubits, Density Matrix Form, Quantum Computing Devices, Systems, Software, and Hardware

Mathematics of Quantum Gates, Implementation in devices, Types of Gates, Single Qubit and Multi-qubit Gates, Rotation around angle and axis, Quantum circuit Constructions, Bell state circuits, GHZ state, Quantum Adders

Mathematics of Quantum Gates, Implementation in devices, Types of Gates, Single Qubit and Multi-qubit Gates, Rotation around angle and axis, Quantum circuit Constructions, Bell state circuits, GHZ state, Quantum Adders

Mathematics of Quantum Gates, Implementation in devices, Types of Gates, Single Qubit and Multi-qubit Gates, Rotation around angle and axis, Quantum circuit Constructions, Bell state circuits, GHZ state, Quantum Adders

Mathematics of Quantum Gates, Implementation in devices, Types of Gates, Single Qubit and Multi-qubit Gates, Rotation around angle and axis, Quantum circuit Constructions, Bell state circuits, GHZ state, Quantum Adders

Mathematics of Quantum Gates, Implementation in devices, Types of Gates, Single Qubit and Multi-qubit Gates, Rotation around angle and axis, Quantum circuit Constructions, Bell state circuits, GHZ state, Quantum Adders

Quantum algorithm design, Use of superposition for quantum parallelism, quantum interference, phase kick-back circuits, classical and quantum algorithms for Deutsch’s problem, Deutsch–Jozsa algorithm, Bernstein–Vazirani algorithm

Quantum algorithm design, Use of superposition for quantum parallelism, quantum interference, phase kick-back circuits, classical and quantum algorithms for Deutsch’s problem, Deutsch–Jozsa algorithm, Bernstein–Vazirani algorithm

Quantum algorithm design, Use of superposition for quantum parallelism, quantum interference, phase kick-back circuits, classical and quantum algorithms for Deutsch’s problem, Deutsch–Jozsa algorithm, Bernstein–Vazirani algorithm

Quantum algorithm design, Use of superposition for quantum parallelism, quantum interference, phase kick-back circuits, classical and quantum algorithms for Deutsch’s problem, Deutsch–Jozsa algorithm, Bernstein–Vazirani algorithm

Quantum algorithm design, Use of superposition for quantum parallelism, quantum interference, phase kick-back circuits, classical and quantum algorithms for Deutsch’s problem, Deutsch–Jozsa algorithm, Bernstein–Vazirani algorithm

○ Implement basic quantum gates and quantum algorithms to create a quantum simulator in numpy

○ Implement extended versions of basic quantum algorithms from scratch without using libraries

○ Implement basic quantum gates and quantum algorithms to create a quantum simulator in numpy

○ Implement extended versions of basic quantum algorithms from scratch without using libraries

○ Implement basic quantum gates and quantum algorithms to create a quantum simulator in numpy

○ Implement extended versions of basic quantum algorithms from scratch without using libraries

○ Implement basic quantum gates and quantum algorithms to create a quantum simulator in numpy

○ Implement extended versions of basic quantum algorithms from scratch without using libraries

○ Implement basic quantum gates and quantum algorithms to create a quantum simulator in numpy

○ Implement extended versions of basic quantum algorithms from scratch without using libraries

1. "Quantum Computation and Quantum Information" by Michael A. Nielsen and Isaac L. Chuang.

1. "Quantum Computing: A Gentle Introduction" by Eleanor Rieffel and Wolfgang Polak.

2. "Quantum Information and Computation" by Christopher A. Fuchs, Masahito Hayashi.

End Sem Project : 30 Marks

Final Examination: 40 Marks

CIA: 100 Marks 

ESE: No 

Course Description:

 The course is designed to provide comprehensive knowledge to the students regarding the effect of IPR especially of patents on emerging issues like public health, climate, and the ways to tackle this problem.

Course Objective:

1. To provide comprehensive knowledge to the students regarding the Entrepreneurship and general principles of IPR, Concepts and Theories,

2. To provide comprehensive knowledge to the students regarding Indian position of the Copyright Law, 1957, Historical background and Development of Copyright Law, Infringement.

3. To provide comprehensive knowledge to the students regarding Indian position of the Trademark Act, 1999, Historical development of the concept of trademark and trademark law.

Meaning and importance of Entrepreneurship, Factors influencing entrepreneurship, characteristics of entrepreneurship, types of entrepreneurship, objectives of entrepreneurship development, Startups- Definition, Types.

Entrepreneurship Development Skills: Types of entrepreneurial skills - team work and leadership skill, analytical and problem solving skills, critical thinking skills, branding, marketing and networking skills. 

Meaning and importance of Entrepreneurship, Factors influencing entrepreneurship, characteristics of entrepreneurship, types of entrepreneurship, objectives of entrepreneurship development, Startups- Definition, Types.

Entrepreneurship Development Skills: Types of entrepreneurial skills - team work and leadership skill, analytical and problem solving skills, critical thinking skills, branding, marketing and networking skills. 

Meaning and importance of Entrepreneurship, Factors influencing entrepreneurship, characteristics of entrepreneurship, types of entrepreneurship, objectives of entrepreneurship development, Startups- Definition, Types.

Entrepreneurship Development Skills: Types of entrepreneurial skills - team work and leadership skill, analytical and problem solving skills, critical thinking skills, branding, marketing and networking skills. 

Meaning and importance of Entrepreneurship, Factors influencing entrepreneurship, characteristics of entrepreneurship, types of entrepreneurship, objectives of entrepreneurship development, Startups- Definition, Types.

Entrepreneurship Development Skills: Types of entrepreneurial skills - team work and leadership skill, analytical and problem solving skills, critical thinking skills, branding, marketing and networking skills. 

Meaning and importance of Entrepreneurship, Factors influencing entrepreneurship, characteristics of entrepreneurship, types of entrepreneurship, objectives of entrepreneurship development, Startups- Definition, Types.

Entrepreneurship Development Skills: Types of entrepreneurial skills - team work and leadership skill, analytical and problem solving skills, critical thinking skills, branding, marketing and networking skills. 

Institutions supporting Entrepreneurs: Various Central and State Level Organizations which Help the Entrepreneurs, Banks and non banking financial organisations, Fund Collection for Entrepreneurship

Preparation of Business model/Plan: Business plan - concept, format, components of business plan. Significance of Business Plan. Making of a Business plan.

Institutions supporting Entrepreneurs: Various Central and State Level Organizations which Help the Entrepreneurs, Banks and non banking financial organisations, Fund Collection for Entrepreneurship

Preparation of Business model/Plan: Business plan - concept, format, components of business plan. Significance of Business Plan. Making of a Business plan.

Institutions supporting Entrepreneurs: Various Central and State Level Organizations which Help the Entrepreneurs, Banks and non banking financial organisations, Fund Collection for Entrepreneurship

Preparation of Business model/Plan: Business plan - concept, format, components of business plan. Significance of Business Plan. Making of a Business plan.

Institutions supporting Entrepreneurs: Various Central and State Level Organizations which Help the Entrepreneurs, Banks and non banking financial organisations, Fund Collection for Entrepreneurship

Preparation of Business model/Plan: Business plan - concept, format, components of business plan. Significance of Business Plan. Making of a Business plan.

Institutions supporting Entrepreneurs: Various Central and State Level Organizations which Help the Entrepreneurs, Banks and non banking financial organisations, Fund Collection for Entrepreneurship

Preparation of Business model/Plan: Business plan - concept, format, components of business plan. Significance of Business Plan. Making of a Business plan.

Need for intellectual property rights. Rationale for protection of IPR. Impact of IPR on development. health, agriculture. IPR in lndia.

Concepts of Novelty, Utility Inventiveness/Non-obviousness, Patentable subject matter, Patentability criteria, non-patentable inventions Pharmaceutical products and process and patent protection Software Patents Patenting of Micro-organism, Rights of patentee Procedure for granting a patent and obtaining patents Grounds for opposition Surrender, Revocation, restoration Transfer of patent rights, Infringement.

Need for intellectual property rights. Rationale for protection of IPR. Impact of IPR on development. health, agriculture. IPR in lndia.

Concepts of Novelty, Utility Inventiveness/Non-obviousness, Patentable subject matter, Patentability criteria, non-patentable inventions Pharmaceutical products and process and patent protection Software Patents Patenting of Micro-organism, Rights of patentee Procedure for granting a patent and obtaining patents Grounds for opposition Surrender, Revocation, restoration Transfer of patent rights, Infringement.

Need for intellectual property rights. Rationale for protection of IPR. Impact of IPR on development. health, agriculture. IPR in lndia.

Concepts of Novelty, Utility Inventiveness/Non-obviousness, Patentable subject matter, Patentability criteria, non-patentable inventions Pharmaceutical products and process and patent protection Software Patents Patenting of Micro-organism, Rights of patentee Procedure for granting a patent and obtaining patents Grounds for opposition Surrender, Revocation, restoration Transfer of patent rights, Infringement.

Need for intellectual property rights. Rationale for protection of IPR. Impact of IPR on development. health, agriculture. IPR in lndia.

Concepts of Novelty, Utility Inventiveness/Non-obviousness, Patentable subject matter, Patentability criteria, non-patentable inventions Pharmaceutical products and process and patent protection Software Patents Patenting of Micro-organism, Rights of patentee Procedure for granting a patent and obtaining patents Grounds for opposition Surrender, Revocation, restoration Transfer of patent rights, Infringement.

Need for intellectual property rights. Rationale for protection of IPR. Impact of IPR on development. health, agriculture. IPR in lndia.

Concepts of Novelty, Utility Inventiveness/Non-obviousness, Patentable subject matter, Patentability criteria, non-patentable inventions Pharmaceutical products and process and patent protection Software Patents Patenting of Micro-organism, Rights of patentee Procedure for granting a patent and obtaining patents Grounds for opposition Surrender, Revocation, restoration Transfer of patent rights, Infringement.

Copyright Act, 1957 Terms of Copyright conditions for grant of copyright, extent of rights exception to copyright protection, fair use provision, assignment and licensing, Copyright in Literary, Dramatic and Musical ,Works, Sound Recording, Cinematograph Films, Copyright in Computer Programme, Author Special Rights, Right of Broadcasting and performers.

Copyright Act, 1957 Terms of Copyright conditions for grant of copyright, extent of rights exception to copyright protection, fair use provision, assignment and licensing, Copyright in Literary, Dramatic and Musical ,Works, Sound Recording, Cinematograph Films, Copyright in Computer Programme, Author Special Rights, Right of Broadcasting and performers.

Copyright Act, 1957 Terms of Copyright conditions for grant of copyright, extent of rights exception to copyright protection, fair use provision, assignment and licensing, Copyright in Literary, Dramatic and Musical ,Works, Sound Recording, Cinematograph Films, Copyright in Computer Programme, Author Special Rights, Right of Broadcasting and performers.

Copyright Act, 1957 Terms of Copyright conditions for grant of copyright, extent of rights exception to copyright protection, fair use provision, assignment and licensing, Copyright in Literary, Dramatic and Musical ,Works, Sound Recording, Cinematograph Films, Copyright in Computer Programme, Author Special Rights, Right of Broadcasting and performers.

Copyright Act, 1957 Terms of Copyright conditions for grant of copyright, extent of rights exception to copyright protection, fair use provision, assignment and licensing, Copyright in Literary, Dramatic and Musical ,Works, Sound Recording, Cinematograph Films, Copyright in Computer Programme, Author Special Rights, Right of Broadcasting and performers.

Historical development of the concept of trademark and trademark law-National and International Introduction to Trademarks Need for Protection. Kinds of trademarks Concept of Well-known trademark. 

Historical development of the concept of trademark and trademark law-National and International Introduction to Trademarks Need for Protection. Kinds of trademarks Concept of Well-known trademark. 

Historical development of the concept of trademark and trademark law-National and International Introduction to Trademarks Need for Protection. Kinds of trademarks Concept of Well-known trademark. 

Historical development of the concept of trademark and trademark law-National and International Introduction to Trademarks Need for Protection. Kinds of trademarks Concept of Well-known trademark. 

Historical development of the concept of trademark and trademark law-National and International Introduction to Trademarks Need for Protection. Kinds of trademarks Concept of Well-known trademark. 

T2. P. Narayanan (Eastern Law House), Intellectual Property Law.

R2. R.K. Nagarjan, Intellectual Property LawGanguli (Tata Megraw), Intellectual Property Rights

R3. Anjan Raichaudhuri, Managing New Ventures Concepts and Cases, Prentice Hall International.

R4. S. R. Bhowmik & M. Bhowmik, Entrepreneurship, New Age International.

R5. Steven Fisher, Ja-nae’ Duane, The Startup Equation –A Visual Guidebook for Building Your Startup, Indian Edition, McGraw Hill Education India Pvt. Ltd.

R6. Byrd Megginson, Small Business Management An Entrepreneur’s Guidebook, 7th ed, McGrawHill

R7. A Fayolle Entrepreneurship and new value creation,Cambridge, Cambridge University Press.

R8.N.S. Gopalakrishnan & T.G. Agitha, Principles of Intellectual Property (2009), Eastern Book Company, Lucknow.

R9.W. Cornish (Universal Publication), Intellectual Property Law.

·        CIA 2 – 50 Marks

·        CIA 3 – 20 Marks

·        End Semester Examination – 50 Marks

·        Attendance – 5 Marks

(Scaled: CIA – 25 Marks & ESE – 25 Marks)

COURSE DESCRIPTION:

This course, Discrete Mathematics (MA334) is offered for three credits in the third semester for the branch of Computer Science Engineering and Information and Technology for different streams. This course develops the logical augmenting and it has topics like Propositional Calculus, Set theory, Group theory, and Coding various Counting techniques.

COURSE OBJECTIVE:

The objective of the paper is to apply logical reasoning to validate the computer algorithms, to perform the operations associated with sets, functions, relations and groups for the coding and decoding information to check the security of the data. 

Propositions – Logical connectives – Compound propositions – Conditional and bi conditional propositions – Truth tables – Tautologies and contradictions – Contrapositive – Logical equivalences and implications – De Morgan’s Laws - Normal forms, Rules of inference – Arguments - Validity of arguments.

Propositions – Logical connectives – Compound propositions – Conditional and bi conditional propositions – Truth tables – Tautologies and contradictions – Contrapositive – Logical equivalences and implications – De Morgan’s Laws - Normal forms, Rules of inference – Arguments - Validity of arguments.

Propositions – Logical connectives – Compound propositions – Conditional and bi conditional propositions – Truth tables – Tautologies and contradictions – Contrapositive – Logical equivalences and implications – De Morgan’s Laws - Normal forms, Rules of inference – Arguments - Validity of arguments.

Propositions – Logical connectives – Compound propositions – Conditional and bi conditional propositions – Truth tables – Tautologies and contradictions – Contrapositive – Logical equivalences and implications – De Morgan’s Laws - Normal forms, Rules of inference – Arguments - Validity of arguments.

Propositions – Logical connectives – Compound propositions – Conditional and bi conditional propositions – Truth tables – Tautologies and contradictions – Contrapositive – Logical equivalences and implications – De Morgan’s Laws - Normal forms, Rules of inference – Arguments - Validity of arguments.

Basic concepts of Sets - Subset – Algebra of sets – The power set – Ordered pairs and Cartesian product – Relations on sets –Types of relations and their properties – Matrix and Graph representation of a relation – Partial ordering – Poset – Hasse diagram – Lattices and their properties – Sublattices – Boolean algebra.

Basic concepts of Sets - Subset – Algebra of sets – The power set – Ordered pairs and Cartesian product – Relations on sets –Types of relations and their properties – Matrix and Graph representation of a relation – Partial ordering – Poset – Hasse diagram – Lattices and their properties – Sublattices – Boolean algebra.

Basic concepts of Sets - Subset – Algebra of sets – The power set – Ordered pairs and Cartesian product – Relations on sets –Types of relations and their properties – Matrix and Graph representation of a relation – Partial ordering – Poset – Hasse diagram – Lattices and their properties – Sublattices – Boolean algebra.

Basic concepts of Sets - Subset – Algebra of sets – The power set – Ordered pairs and Cartesian product – Relations on sets –Types of relations and their properties – Matrix and Graph representation of a relation – Partial ordering – Poset – Hasse diagram – Lattices and their properties – Sublattices – Boolean algebra.

Basic concepts of Sets - Subset – Algebra of sets – The power set – Ordered pairs and Cartesian product – Relations on sets –Types of relations and their properties – Matrix and Graph representation of a relation – Partial ordering – Poset – Hasse diagram – Lattices and their properties – Sublattices – Boolean algebra.

Properties – Subgroups - Cosets and Lagrange’s theorem – Normal subgroups – Algebraic system with two binary operations – Preliminaries of Coding -  Hamming Metric  - group codes: –  Basic notions of error correction - Error recovery in group codes.

Properties – Subgroups - Cosets and Lagrange’s theorem – Normal subgroups – Algebraic system with two binary operations – Preliminaries of Coding -  Hamming Metric  - group codes: –  Basic notions of error correction - Error recovery in group codes.

Properties – Subgroups - Cosets and Lagrange’s theorem – Normal subgroups – Algebraic system with two binary operations – Preliminaries of Coding -  Hamming Metric  - group codes: –  Basic notions of error correction - Error recovery in group codes.

Properties – Subgroups - Cosets and Lagrange’s theorem – Normal subgroups – Algebraic system with two binary operations – Preliminaries of Coding -  Hamming Metric  - group codes: –  Basic notions of error correction - Error recovery in group codes.

Properties – Subgroups - Cosets and Lagrange’s theorem – Normal subgroups – Algebraic system with two binary operations – Preliminaries of Coding -  Hamming Metric  - group codes: –  Basic notions of error correction - Error recovery in group codes.

Types of functions - Examples – Composition of functions – Inverse functions – Characteristic function of a set, Mathematical Induction, The Rules of Sum and Product, Permutations, Combinations.

Types of functions - Examples – Composition of functions – Inverse functions – Characteristic function of a set, Mathematical Induction, The Rules of Sum and Product, Permutations, Combinations.

Types of functions - Examples – Composition of functions – Inverse functions – Characteristic function of a set, Mathematical Induction, The Rules of Sum and Product, Permutations, Combinations.

Types of functions - Examples – Composition of functions – Inverse functions – Characteristic function of a set, Mathematical Induction, The Rules of Sum and Product, Permutations, Combinations.

Types of functions - Examples – Composition of functions – Inverse functions – Characteristic function of a set, Mathematical Induction, The Rules of Sum and Product, Permutations, Combinations.

Fundamental principles of counting, pigeonhole principle, principle of inclusion and exclusion, Solving Linear Recurrence Relations, Divide-and-Conquer Algorithms and Recurrence Relations, generating functions, Solve Recurrence Relations using Generating Functions.

Fundamental principles of counting, pigeonhole principle, principle of inclusion and exclusion, Solving Linear Recurrence Relations, Divide-and-Conquer Algorithms and Recurrence Relations, generating functions, Solve Recurrence Relations using Generating Functions.

Fundamental principles of counting, pigeonhole principle, principle of inclusion and exclusion, Solving Linear Recurrence Relations, Divide-and-Conquer Algorithms and Recurrence Relations, generating functions, Solve Recurrence Relations using Generating Functions.

Fundamental principles of counting, pigeonhole principle, principle of inclusion and exclusion, Solving Linear Recurrence Relations, Divide-and-Conquer Algorithms and Recurrence Relations, generating functions, Solve Recurrence Relations using Generating Functions.

Fundamental principles of counting, pigeonhole principle, principle of inclusion and exclusion, Solving Linear Recurrence Relations, Divide-and-Conquer Algorithms and Recurrence Relations, generating functions, Solve Recurrence Relations using Generating Functions.

T1. Trembly J.P and Manohar R, Discrete Mathematical Structures with Applications to Computer Science, Tata McGrawHill Pub.Co. Ltd, New Delhi, 2003. 

T2. Ralph. P. Grimaldi, Discrete and Combinatorial Mathematics: An Applied Introduction, Fifth Edition, Pearson Education Asia,Delhi, 2009.

1.      R1. Bernard Kolman, Robert C. Busby, Sharan Cutler Ross, Discrete Mathematical Structures,  Fourth Indian reprint, Pearson Education Pvt Ltd., New Delhi, 2003.

2.      R2. Kenneth H. Rosen, Discrete Mathematics and its Applications, Fifth Edition, Tata McGraw Hill Pub. Co. Ltd., New Delhi, 2003.

3.      R3. Richard Johnsonbaugh, Discrete Mathematics, Fifth Edition,Pearson Education Asia, New Delhi, 2002.

End Semester Examination(ESE)      : 50% (50 marks out of 100 marks) 

Components of the CIA

CIA I  :  Subject Assignments / Online Tests                  : 10 marks

CIA II :   Mid Semester Examination (Theory)                : 25 marks            

CIAIII: Quiz/Seminar/Innovative Assignments/presentations/publications : 10 marks

Attendance                                                                           : 05 marks

            Total                                                                                       : 50 marks

Mid Semester Examination (MSE) : Theory Papers:

• The MSE is conducted for 50 marks of 2 hours duration.
• Question paper pattern; Four questions have to be answered in part A without any choice. One question need to be answered out of two in part B. Each  question carries 10 marks

End Semester Examination (ESE):

The ESE is conducted for 100 marks of 3 hours duration.

The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution.

Question paper pattern is as follows.

Two full questions with either or choice will be drawn from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a question. The emphasis on the questions is to test the objectiveness, analytical skill and application skill of the concept, from a question bank which reviewed and updated every year

The criteria for drawing the questions from the Question Bank are as follows

50 % - Medium Level questions

25 % - Simple level questions

25 % - Complex level questions

This course focuses on the fundamentals of psychology. It is an introductory paper that gives an overall understanding about the human behavior. It will provide students with an introduction to the key concepts, perspectives, theories, and sub-fields on various basic processes underlying human behavior.

Definition, Characteristics of Sensory modalities: Absolute and difference threshold; Signal detection theory; sensory coding; Vision, Audition, Other Senses. Assessment of Perception and Sensation

Practicum: Aesthesiometer

Definition, Characteristics of Sensory modalities: Absolute and difference threshold; Signal detection theory; sensory coding; Vision, Audition, Other Senses. Assessment of Perception and Sensation

Practicum: Aesthesiometer

Definition, Characteristics of Sensory modalities: Absolute and difference threshold; Signal detection theory; sensory coding; Vision, Audition, Other Senses. Assessment of Perception and Sensation

Practicum: Aesthesiometer

Definition, Characteristics of Sensory modalities: Absolute and difference threshold; Signal detection theory; sensory coding; Vision, Audition, Other Senses. Assessment of Perception and Sensation

Practicum: Aesthesiometer

Definition, Characteristics of Sensory modalities: Absolute and difference threshold; Signal detection theory; sensory coding; Vision, Audition, Other Senses. Assessment of Perception and Sensation

Practicum: Aesthesiometer

Definition, Understanding perception, Gestalt laws of organization, Illusions and Perceptual constancy; Various sensory modalities; Extrasensory perception.

Practicum:  Muller-Lyer Illusion

Definition, Understanding perception, Gestalt laws of organization, Illusions and Perceptual constancy; Various sensory modalities; Extrasensory perception.

Practicum:  Muller-Lyer Illusion

Definition, Understanding perception, Gestalt laws of organization, Illusions and Perceptual constancy; Various sensory modalities; Extrasensory perception.

Practicum:  Muller-Lyer Illusion

Definition, Understanding perception, Gestalt laws of organization, Illusions and Perceptual constancy; Various sensory modalities; Extrasensory perception.

Practicum:  Muller-Lyer Illusion

Definition, Understanding perception, Gestalt laws of organization, Illusions and Perceptual constancy; Various sensory modalities; Extrasensory perception.

Practicum:  Muller-Lyer Illusion

Learning:Definition, Classical conditioning, Instrumental conditioning, learning and cognition; Memory:  Types of Memory; Sensory memory, working memory, Long term memory, implicit memory, Constructive memory, improving memory; Assessment of memory.

Practicum: Memory drum

Learning:Definition, Classical conditioning, Instrumental conditioning, learning and cognition; Memory:  Types of Memory; Sensory memory, working memory, Long term memory, implicit memory, Constructive memory, improving memory; Assessment of memory.

Practicum: Memory drum

Learning:Definition, Classical conditioning, Instrumental conditioning, learning and cognition; Memory:  Types of Memory; Sensory memory, working memory, Long term memory, implicit memory, Constructive memory, improving memory; Assessment of memory.

Practicum: Memory drum

Learning:Definition, Classical conditioning, Instrumental conditioning, learning and cognition; Memory:  Types of Memory; Sensory memory, working memory, Long term memory, implicit memory, Constructive memory, improving memory; Assessment of memory.

Practicum: Memory drum

Learning:Definition, Classical conditioning, Instrumental conditioning, learning and cognition; Memory:  Types of Memory; Sensory memory, working memory, Long term memory, implicit memory, Constructive memory, improving memory; Assessment of memory.

Practicum: Memory drum

Concepts and nature of Individual differences; Nature vs. nurture; Gender difference in cognitive processes and social behavior; Intelligence: Definition, Contemporary theories of intelligence; Tests of intelligence; Emotional, Social and Spiritual intelligence.

Practicum: Bhatia’s Battery of Performance

Concepts and nature of Individual differences; Nature vs. nurture; Gender difference in cognitive processes and social behavior; Intelligence: Definition, Contemporary theories of intelligence; Tests of intelligence; Emotional, Social and Spiritual intelligence.

Practicum: Bhatia’s Battery of Performance

Concepts and nature of Individual differences; Nature vs. nurture; Gender difference in cognitive processes and social behavior; Intelligence: Definition, Contemporary theories of intelligence; Tests of intelligence; Emotional, Social and Spiritual intelligence.

Practicum: Bhatia’s Battery of Performance

Concepts and nature of Individual differences; Nature vs. nurture; Gender difference in cognitive processes and social behavior; Intelligence: Definition, Contemporary theories of intelligence; Tests of intelligence; Emotional, Social and Spiritual intelligence.

Practicum: Bhatia’s Battery of Performance

Concepts and nature of Individual differences; Nature vs. nurture; Gender difference in cognitive processes and social behavior; Intelligence: Definition, Contemporary theories of intelligence; Tests of intelligence; Emotional, Social and Spiritual intelligence.

Practicum: Bhatia’s Battery of Performance

Definition, Type and trait theories of personality, Type A, B & C. Psychoanalytic -  Freudian perspective; Types of personality assessment.

Definition, Type and trait theories of personality, Type A, B & C. Psychoanalytic -  Freudian perspective; Types of personality assessment.

Definition, Type and trait theories of personality, Type A, B & C. Psychoanalytic -  Freudian perspective; Types of personality assessment.

Definition, Type and trait theories of personality, Type A, B & C. Psychoanalytic -  Freudian perspective; Types of personality assessment.

Definition, Type and trait theories of personality, Type A, B & C. Psychoanalytic -  Freudian perspective; Types of personality assessment.

Rathus, S. A. (2017). Introductory Psychology, 5thEd. Belmont, CA: Wadsworth.

Nolen-Hoeksema, S., Fredrickson, B.L. & Loftus, G.R. (2014). Atkinson & Hilgard'sIntroduction to Psychology.16th Ed. United Kingdom: Cengage Learning.

Morgan, C. T., King, R. A., & Schopler, J. (2004). Introduction to Psychology. New Delhi: Tata     McGraw Hill.

Kalat, J. W. (2016). Understanding Psychology. New York: Cengage Learning.

This course is designed to provide a holistic development program combining personality enhancement, physical training, leadership skills, and technical expertise. Students will engage in physical training, learn fundamental drill techniques, and gain hands-on experience in aviation, including airmanship, aircraft forces, and specific technical details of the ZENAIR CH 701. The course also includes practical exercises such as obstacle courses and social service activities to foster leadership and community involvement. Through a blend of theoretical knowledge and practical skills, students will be well-prepared for roles requiring both personal development and technical proficiency.

Develop self-awareness, confidence, and leadership qualities through structured personality development and leadership training.

Understand the principles of airmanship and the forces acting on aircraft to enhance operational knowledge in aviation.

Engage in social service activities to build leadership skills and contribute positively to the community.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Personality Development

  • Self-awareness and Confidence: Techniques to build self-esteem and self-awareness.
  • Effective Communication: Skills for clear and impactful communication.
  • Time Management and Goal Setting: Strategies to manage time efficiently and set achievable goals.

  • Fundamentals of Foot Drill

    • Basic Movements and Commands: Training in fundamental drill movements and commands.
    • Marching Techniques: Proper techniques for marching and maintaining formation.
    • Discipline and Synchronization: Importance of precision and coordination in drill routines.

• Airmanship

  • Principles of Airmanship: Understanding the essential principles for effective flight operations.
  • Safety Procedures: Best practices for ensuring safety in aviation settings.
  • Situational Awareness: Techniques to maintain awareness and make informed decisions during flight.

• Forces Acting on Aircraft

  • Aerodynamic Forces: Analysis of lift, weight, thrust, and drag.
  • Flight Performance: Impact of aerodynamic forces on aircraft performance.
  • Environmental Factors: Influence of environmental conditions on flight dynamics.

• Technical Details: ZENAIR CH 701

  • Aircraft Specifications: Overview of technical features and specifications of the ZENAIR CH 701.
  • Maintenance Procedures: Routine maintenance and inspection practices.
  • Performance Evaluation: Assessing the aircraft's performance characteristics and capabilities.

• Airmanship

  • Principles of Airmanship: Understanding the essential principles for effective flight operations.
  • Safety Procedures: Best practices for ensuring safety in aviation settings.
  • Situational Awareness: Techniques to maintain awareness and make informed decisions during flight.

• Forces Acting on Aircraft

  • Aerodynamic Forces: Analysis of lift, weight, thrust, and drag.
  • Flight Performance: Impact of aerodynamic forces on aircraft performance.
  • Environmental Factors: Influence of environmental conditions on flight dynamics.

• Technical Details: ZENAIR CH 701

  • Aircraft Specifications: Overview of technical features and specifications of the ZENAIR CH 701.
  • Maintenance Procedures: Routine maintenance and inspection practices.
  • Performance Evaluation: Assessing the aircraft's performance characteristics and capabilities.

• Airmanship

  • Principles of Airmanship: Understanding the essential principles for effective flight operations.
  • Safety Procedures: Best practices for ensuring safety in aviation settings.
  • Situational Awareness: Techniques to maintain awareness and make informed decisions during flight.

• Forces Acting on Aircraft

  • Aerodynamic Forces: Analysis of lift, weight, thrust, and drag.
  • Flight Performance: Impact of aerodynamic forces on aircraft performance.
  • Environmental Factors: Influence of environmental conditions on flight dynamics.

• Technical Details: ZENAIR CH 701

  • Aircraft Specifications: Overview of technical features and specifications of the ZENAIR CH 701.
  • Maintenance Procedures: Routine maintenance and inspection practices.
  • Performance Evaluation: Assessing the aircraft's performance characteristics and capabilities.

• Airmanship

  • Principles of Airmanship: Understanding the essential principles for effective flight operations.
  • Safety Procedures: Best practices for ensuring safety in aviation settings.
  • Situational Awareness: Techniques to maintain awareness and make informed decisions during flight.

• Forces Acting on Aircraft

  • Aerodynamic Forces: Analysis of lift, weight, thrust, and drag.
  • Flight Performance: Impact of aerodynamic forces on aircraft performance.
  • Environmental Factors: Influence of environmental conditions on flight dynamics.

• Technical Details: ZENAIR CH 701

  • Aircraft Specifications: Overview of technical features and specifications of the ZENAIR CH 701.
  • Maintenance Procedures: Routine maintenance and inspection practices.
  • Performance Evaluation: Assessing the aircraft's performance characteristics and capabilities.

• Airmanship

  • Principles of Airmanship: Understanding the essential principles for effective flight operations.
  • Safety Procedures: Best practices for ensuring safety in aviation settings.
  • Situational Awareness: Techniques to maintain awareness and make informed decisions during flight.

• Forces Acting on Aircraft

  • Aerodynamic Forces: Analysis of lift, weight, thrust, and drag.
  • Flight Performance: Impact of aerodynamic forces on aircraft performance.
  • Environmental Factors: Influence of environmental conditions on flight dynamics.

• Technical Details: ZENAIR CH 701

  • Aircraft Specifications: Overview of technical features and specifications of the ZENAIR CH 701.
  • Maintenance Procedures: Routine maintenance and inspection practices.
  • Performance Evaluation: Assessing the aircraft's performance characteristics and capabilities.