B. Tech. - Employability

4 Years Full Time Program | Affiliated to AKTU, Lucknow (UP) & AICTE Approved

B. Tech. - Employability

Computer Science & Engineering

Mode

Regular

Seats

Level

Graduate

Duration

4 Years

Vision

To produce Computer Science and Engineering graduates with problem-solving abilities, research aptitude, teamwork, and ethical values to meet the needs of industry and society. The department will strive to be the most effective research and innovative centre in the field of information and other fields focused on empowering people to provide scientific and social assistance.

Mission

The mission of the Computer Science and Engineering Department is to shape the students to be innovative, entrepreneurial, supportive, assured, and intellectual.

To prepare students with strong technical skills and analytical minds for real time industrial needs.
To nurture the students to contribute to research and innovation for nation building.
To develop students with leadership qualities to be entrepreneurs and contribute their services to society.

Develop a student’s technical skills through innovation and leadership. Inculcate the values of work ethic, social concern, environmental protection, and lifelong learning.

Empowered by : CDAC, NASSCOM & Future Prime Skill

Approved by :Ministry of Electronics & Information Technology, Government of India

Computer Science Engineering (CSE) is one of the most popular courses among engineering aspirants which focuses on the basic elements of computer programming and networking. Students pursuing computer science courses will gain knowledge of design, implementation and management of information system of both hardware and software. CSE course deals primarily with the theory of computation and design of computational systems.

The Computer Science Engineering program at Vishveshwarya is prepared as per the current corporate needs. The program is based on three-way reading pedagogy with theory, practical in the high-standard laboratory, and live training sessions on the latest technologies. This program gives the opportunity to learn the latest technologies such as Artificial Intelligence, Robotics, Machine Learning, Blockchain, Cyber security, Full Stack Development, and Cloud-based technologies. Eligible students shall be placed with min. package of ` 5 lac^ per annum.

Program Outcomes (POs)

PO-1: Engineering knowledge: Utilize understanding of physics, math, engineering foundations, and engineering specialization to solve challenging engineering issues.

PO-2: Problem analysis: Identify, formulate, review research literature, and analyze complex computer engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO-3: Design/development of solutions: Design solutions for complex computer engineering problems and design system components or processes that meet the specific needs with appropriate considerations for the public health and safety, and the cultural, societal, and environmental considerations.

PO-4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide conclusions

PO-5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations

PO-6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent relevance to the professional engineering practices

PO-7: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development

PO-8: Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practices

PO-9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings

PO-10: Communications: Communicate effectively on complex engineering activities with the engineering community and with society, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions

PO-11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO-12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life learning in the broadest context of technological change.

Program Specific Outcomes (PSO)

PSO-1: (Proficiency in Real life problem solving, Algorithm Design) Exhibit professional ethics and implement the concepts of Computer Science & Engineering, Software Development, Problem solving techniques, and Algorithm Design and implementation with the state-of- the-art technology and contemporary skills.

PSO 2: (Proficiency in core technical areas of Computer Science & Engineering) To introduce upcoming domains like Big Data, Cloud Computing, Artificial Intelligence, Robotics, Data analytics, IoT, and Machine Learning to develop insights for problem solving.

PSO 3: (Proficiency in program Design and coding and analyses / interprets data) Implement and correlate their theoretical knowledge by program development, analysis of the problem, and analyse/interpret the results for appropriate conclusions and recommendations to a real-world software engineering problem with a significant perspective of the industrial, societal and real world.

Program Educational Objectives (PEOs)

PEO-1: Prepare graduates to have knowledge and competency for a career related to Computer Science.

PEO-2: Possess a solid technological background and the ability to assess data, formulate, and tackle industrial challenges to find workable solutions.

PEO-3: Make a prosperous career in research, industry, or higher education.

PEO-4: possess a passion for lifelong learning and the ability to work on interdisciplinary initiatives.

Department Advisory Committee

The Department Advisory Committee (DAC) has been formed to monitor the progress of the program. The Committee develops and recommends new or revised goals and objectives of the program. The DAC consists of HOD and faculty members of the department to evaluate the performance of a program review/monitor/assess a specific program. The Department Advisory Committee interacts and maintains liaison with key stakeholders.

The Department Advisory Committee is chaired by HOD who receives the report of the Department Advisory Committee and monitors the progress of the program.
The committee reviews the curriculum of the CSE department to ensure it aligns with the latest industry trends, technological advancements, and educational standards.
The committee establishes mechanisms for assessing and evaluating student learning outcomes, including examinations, assignments, projects, and other assessment tools.
The committee organizes workshops, seminars, and training sessions (NPTEL, Spoken tutorial, FDP, STTP / Guest lecturers monitoring) for faculty members to enhance their teaching skills, stay updated with the latest technologies, and improve their research capabilities.
The DAC assesses the adequacy of infrastructure, including laboratories, classrooms, computing resources, and library facilities, to support the educational objectives of the department.
The committee ensures the availability of academic support services for students, such as counselling, tutoring, and career guidance, to help them succeed academically and professionally.
The DAC foster collaboration with industry partners to provide students with opportunities for internships, projects, and placements, ensuring that the curriculum remains relevant to the needs of the industry.
The committee maintains records of all activities related to accreditation, including documentation of curriculum updates, assessment results, faculty development initiatives, and industry collaborations. They prepare reports for submission to the NBA accrediting body.
The committee continuously monitors and evaluates the quality of education in the department, identifies areas for improvement, and implements corrective actions to enhance the overall quality of the program.

The following members are nominated and approved for the constitution of the Department Advisory Committee for the academic year 2023-2024.

Sr. No	DAC Members	Designation & Organization	Position in DAC
1	Dr. Bibek Kumar	Associate Professor & Head, Department of Computer Science Engineering, VGI Group of Institutions.	Convenor
2	Dr. Waseem Khan	Associate Professor, Department of Computer Science Engineering, VGI Group of Institutions.	Member
3	Dr. Prachi Tripathi	Associate Professor and Head, Department of Electronics and Communication Engineering, VGI Group of Institutions.	Member
4	Dr. Shweta Chauhan	Post Doctoral Researcher, IIT Ropar	R&D Member
5	Mr. Ankit Sharma	Manager, D&E, NCS, Bharat Electronics Limited, Ghaziabad	Industry Expert
6	Dr. Vaibhav Sharma	Senior Director, Association of Data Scientists, Bangalore.	Industry Expert
7	Mr. Sagar Chandra	Deputy Manager, Reliance Industries Limited, Gurgaon	Alumni
8	Mr. Aniket	IV-year student, Department of CSE, VGI Group of Institutions	Student

Course Name/ Certification	Duration	Executed By	Certifying Organization	Certification Methodology	Content
Pre-Course Campus Immersion program	15 days	Holistic PDP Team	CRC, VGI	Training succeeded by certified team	5 Days Cognitive Skills 5 Days Communication and Corporate Behaviour 3 Days Internal GD & PI by CRC, VGI 2 Days mock GD and PI by Industry experts
Programming for Problem-Solving	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Engineering Physics	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Engineering Mathematics-I	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Fundamentals of Electrical Engineering	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Environment and Ecology	30 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Engineering Graphics & Design	20 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
C Programming	70 hrs	Internal Faculty	NPTEL/Coursera	As per certifying Organizations	32 hrs by Lectures + 32 hrs hands-on followed by 3 practice test Annexure 1

Course Name/ Certification	Duration	Executed By	Certifying Organization	Certification Methodology	Content
Engineering Chemistry	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Engineering Mathematics-II	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Fundamentals of Electronics Engineering	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Fundamentals of Mechanical Engineering	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Soft Skills	30 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Workshop Practice Lab	20 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
MS Office	20 hrs	20 Training and project Practice	CRC, VGI	Training –Practice succeeded by Test Conducted by Microsoft	Day to day uses, Report writing, Resume design, PPT preparations etc,

Course Name/ Certification	Duration	Executed By	Certifying Organization	Certification Methodology	Content
Data Structure	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Computer Organization and Architecture	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Discrete Structures & Theory of Logic	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Sensor & Instrumentation	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Technical Communication	30 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Python Programming (NumPy, Pandas, matplotlib, seaborn, sci-kit learn, pytourch, and tensorflow packages)	50 hrs	Internal Faculty	NPTEL/Coursera	As per certifying Organizations	50 Lectures followed by 3 practice tests. Annexure 2
Data structure using C	66 hrs	Internal Faculty	NPTEL/Coursera	As per certifying Organizations	30 Lectures followed + 30 hrs hands-on followed by 6 hrs practice test. Annexure 3

Course Name/ Certification	Duration	Executed By	Certifying Organization	Certification Methodology	Content
Introduction to Soft Computing	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Operating Systems	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Theory of Automata and Formal Languages	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Microprocessor	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Technical Communication	30 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Java (Group-1)	60 hrs	Internal Faculty	NPTEL/Coursera	As per certifying Organizations	Annexure-4
Machine Learning using Python (Group-2)	60 hrs	Internal Faculty	NPTEL/Coursera	As per certifying Organizations	Annexure-5
Full Stack Development (Group-3)	60 hrs	Internal Faculty	NPTEL/Coursera	As per certifying Organizations	Annexure-6
30 hours hands-on DBMS (Common)	60 hrs	Internal Faculty	NPTEL/Coursera	As per certifying Organizations	Annexure-7

Course Name/ Certification	Duration	Executed By	Certifying Organization	Certification Methodology	Content
Database Management System	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Compiler Design	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Design and Analysis of the Algorithm	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Data Analytics (DE-1)	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Machine Learning Techniques (DE-2)	30 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Constitution of India, Law, and Engineering	30 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Java, DevOps, Data analyst, Cloud Analyst training by HCL Technologies and Embedded Developer by CDAC Noida

Course Name/ Certification	Duration	Executed By	Certifying Organization	Certification Methodology	Content
Software Engineering	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Web Technology	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Computer Networks	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Big Data	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Object Oriented Programming	30 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Indian Tradition, Culture and Society	30 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Java, DevOps, Data analyst, Cloud Analyst training by HCL Technologies Embedded Developer by CDAC Noida

15 DAYS Pre-Placement Training

Subject	Duration	No of quizzes
Python Programming	20 hrs	10 (30 questions each)
Data Structure and Algorithm	20 hrs	10 (30 questions each)
Java Programming	20 hrs	10 (30 questions each)
Quantitative aptitude	20 hrs	10 (30 questions each)
Logical Reasoning	20 hrs	10 (30 questions each)
DBMS	20 hrs	10 (30 questions each)
OS	20 hrs	10 (30 questions each)

Course Name/ Certification	Duration	Executed By	Certifying Organization	Certification Methodology	Content
Distributed System	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Artificial Intelligence	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Embedded Systems	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Blockchain Architecture Design	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Cloud computing	30 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Industrial Training
Project (As per the specialization opted by the student)
Java, DevOps, Data analyst, Cloud Analyst training by HCL Technologies Embedded Developer by CDAC Noida

Course Name/ Certification	Duration	Executed By	Certifying Organization	Certification Methodology	Content
Entrepreneurship Development	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Image Processing	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Deep Learning	40 hrs	Internal Faculty	AKTU	Class test followed by AKTU exam	As per AKTU Syllabus
Seminar related to their specialization
Major Project (As per the specialization opted by the student)
Java, DevOps, Data analyst, Cloud Analyst training by HCL Technologies Embedded Developer by CDAC Noida

Semester	Name of the Program/Training	Certification Y/N	Coordinated By
1	Campus Induction Program	CRC, VGI Score card	CRC, VGI
1	Fundamentals of Programming Using C Languagae	NPTEL	IIT Kanpur
1	Critical Thinking	CRC, VGI	CRC, VGI
1	Educational Tour	N	NA
2	Microsoft 365	CRC VGI	Microsoft
2	Python Programming	Corse Era	University of Michigan,USA
3	Data Structure Using C	NPTEL	IIT Ropar
4	JAVA (Group1)	Coursera	LearnQuest
4	Machine Learning Using Python (Group2)	Coursera	Stanford University, California, USA
4	Full Stack Development (Goup3)	Corse Era	IBM
4	DBMS	NPTEL/Course Era	IIT Kharagpur
5 & 6	JAVA	HCL Futurum	HCL Futurum
6 & 6	Dev-Ops	HCL Futurum	HCL Futurum
7 & 6	Data Analyst	HCL Futurum	HCL Futurum
8 & 6	Cloud Analyst	HCL Futurum	HCL Futurum
8 &6	Embeded System Design	C-DAC	C-DAC

Digital Image Processing Lab
Web Technology Lab
Data Structure Lab
DMBS ( Database Management System) Lab
Computer Network Lab
Principals of Programming Language (PPL) Lab
Algorithm Lab
Network Security Lab
Python Lab
C & C++ Lab

Data Mining Specialist
Data Scientist
Data Architects
Machine Learning Engineering
Artificial Intelligence Engineering
AI Data Analyst
Business Intelligence Developers

Central Government ( Scientists jobs in DRDO, ISRO, BARC etc)
State Government jobs
PSUs ( PGCIL, ONGC, MTNL/BSNL,NTPC, etc)
Software MNC's Jobs (Microsoft, Infosys, Oracle, TCS, Tech Mahindra, Wipro, Accenture, HCL, NIIT etc.)
For higher studies, options are available in India and aboard for - Ph.D/MS/M.Tech etc.

UPSEE/JEE (Mains)/ Vishveshwarya Entrance Test / or any other National level Test as per University norms

Eligibility :12th passed in PCM with agg. 50% for Gen./OBC, 45% for SC/ST or Eligibility Criteria as per University Norms/ VET (Vishveshwarya Entrance Test)

C Programming
Duration: 70 hrs (32 hrs Lecture + 32 hrs hands + 6 hrs Certification test practice)
Lecture/Lab No	Topic covers
Lecture 1	• History of 'C' • A Simple C Program • Program execution phases • Backslash character constants • Character set • Constants • Number systems • Format specifiers • Identifiers • Keywords • Variables • Data Types • Declaration of Variable • Assigning Values to Variables • Initialization • Comments • Const Qualifier • Basic Structure of a 'C' program • Programming Examples
Lecture 2	• Arithmetic operators • Increment and decrement operators • Relational operators • Logical operators • The bitwise operators • The assignment operators • The conditional operator • The size of operator • The comma operator • Type casting operator • Other operators • Precedence and order of evaluation • Programming Examples
Lab 1	Basics of C programmings
Lecture 3	• Modifiers • Format specifiers • Dealing with each data types • Memory representation of each type • Programming Examples • Unformatted I-O Functions • Single Character Input-Output • String Input-Output • Formatted I-O Functions • printf() Width Specifier• scanf() Width Specifier• Programming Examples
Lecture 4	• Conditional Control Statements • if • if-else • nested if-else • else-if ladder • Multiple Branching Control Statement • switch-case • Loop Control Statements • while • do-while • for • Nested Loops • Jump Control statements • break • continue • goto • exit • return • Programming Examples
Lab 2	Uses of conditional statement and Loops
Lecture 5	• What is function? • Why function? • Advantages of using functions • Function Prototype • Defining a function • Calling a function • Return statement • Types of functions • Recursion • Nested functions • main() function • Library Function • Local and global variables • Programming Examples
Lab 3	Functions Exercise
Lecture 6	• What is function? • Why function? • Advantages of using functions • Function Prototype • Defining a function • Calling a function • Return statement • Types of functions • Recursion • Nested functions • main() function • Library Function • Local and global variables • Programming Examples
Lab 4	Functions Exercise
Lecture 7	• Types of storage class • Scoping rules • Dealing with all storage classes • Programming Examples• Def of Pointer • Declaration of Pointer Variables • Assigning Address to Pointer • Variables • De-referencing Pointer Variables • Pointer to Pointer • Pointer Arithmetic • Pointer comparisons • De-reference and increment pointer • Programming Examples
Lab 5	Pointer Exercise-1
Lecture 8	• Parameter Passing Techniques – call by value, call by address • Using Pointers as Arguments Function Returning value • Returning More than one value From A Function • Functions Returning Address • Function Returning Pointers • Dangling pointer • Pointer to a Function • Calling A function through function pointer • passing A function's address as an • Argument to other function • Functions with variable number of arguments • Programming Examples
Lab 6	Pointer Exercise-2
Lecture 9	• One dimensional arrays • Declaration of 1D arrays • Initialization of 1D arrays • Accessing element of 1D arrays • Reading and displaying elements• Two dimensional arrays • Declaration of 2D arrays • Initialization of 2D arrays • Accessing element of 2D arrays • Reading and displaying elements • Programming Examples
Lab 7	Array Exercise-1
Lab 8	Array Exercise-2
Lecture 10	• Pointer and one dimensional arrays • Subscripting pointer variables • Pointer to an array • Array of pointers • Pointers and two dimensional arrays • Subscripting pointer To an array • Programming Examples• malloc() • calloc() • realloc() . • free() • Core dump • Memory leak • Dynamic 1D and 2D Arrays • Programming Examples
Lab 9	Dynamic memory allocation exercise
Lab 10	Array with pointer exercise
Lecture 11	• 1D array and function • Passing individual array elements to a function passing individual array elements address to a function • passing whole 1d array to a function • 2D array and function • Passing individual array elements to a function • Passing individual array elements address to a function • passing whole 2d array to a function • using arrays of function pointer • Programming Examples
Lab 11	Array and Function exercise
Lecture 12	• Why is structure used? • What is structure? • Advantages of structures • Defining a Structure • Declaration of Structure Variables • Initialization of Structure Variables • Accessing Structure Members • Storage of Structures in Memory • Size of Structures • Reading and Displaying Structure Variables • Assignment of Structure Variables • Pointers to structures • Array of structures • Arrays within structures • Nested structures • Self-referential structures • Programming Examples• Passing structure member to a function • Passing structure variable to a function • Passing structure variable address to a function • Passing array of structure to a function • Returning a structure variable from function • Returning a structure variable address from function • Returning structure variable from a function • Programming Examples
Lab 12	Structure and Union-1
Lecture 13	• What are unions? • Structures versus unions • Working with unions • Initialising unions • Advantages of unions • enum keyword • typedef keyword • Programming Examples
Lab 13	Structure and Union-2
Lecture 14	• strings versus character arrays • Initializing strings • Reading string • Displaying string • The %s format specifier • The gets() and puts() functions • string handling functions • string pointers • Two-dimensional character arrays or array of string • array of pointers to strings • Programming Examples
Lab 14	String exercise
Lecture 15	• What are unions? • Structures versus unions • Working with unions • Initialising unions • Advantages of unions • enum keyword • typedef keyword • Programming Examples • what is command prompt? • why command line? • What are command line arguments? • Programs using command line
Lab 15	Command line promt exercise
Lecture 16	• Using files in C • Buffer and streams • Working with text files and Binary • Files • File operations using std. library and system calls • File management I/O functions • Random Access Files • Programming Examples
Lab 16	File Handling exercise
Certification Practise Test-1
Certification Practise Test-2
Certification Practise Test-3

Sessions	Topic covers
Basics of Python
Session-1	Basic syntax, Variables, Data types, Conditional statements, Typecasting
Session-2	Lists, Tuples
Session-3	Dictionaries, set
Session-4	Functions
Session-5	Exceptions
Advance python
Session-6	List Comprehension, Generators expressions,
Session-7	Paradigms, regex, Decorators
Session-8	Iterators, lambdas
Oops Concepts
Session-9	Classes, Objects
Session-10	Inheritance
Session-11	Methods,Polymorphism
Data structure
Session-12	Arrays, Linked List
Session-13	Stack, queues
Session-14	Hash Tables, heap
Session-15	Searching
Session-16	Sorting-1
Session-17	Sorting-2
Session-18	Binary search tree
Data Science
Session-19	NumPy
Session-20	Pandas
Session-21	Matplotlib
Session-22	Seaborn
Session-23	TensorFlow
Session-24	PyTourch
Sesson-25	Scikit-learn
Certification Practise Test-1
Certification Practise Test-2
Certification Practise Test-3

Lecture/Lab No	Topic covers
Lecture 1	Basic Data Structures-In this module, you will learn about the basic data structures used throughout the rest of this course. We start this module by looking in detail at the fundamental building blocks: arrays and linked lists.
Lecture 2	Arrays
Lab 1	Implementation of Arrays
Lecture 3	Linked list, type of linked list, applications of linked list
Lab 2	Implementation of Linked List-1
Lab 3	Implementation of Linked List-2
Lab 4	Implementation of Linked List-3
Lecture 4	Stack and its applications
Lab 5	Implementation of Stack-1
Lab 6	Implementation of Stack-2
Lecture 5	Queue, Linear queue, priority queue
Lab 7	Queue Implementation
Lab 8	Dequeue Implementation
Lab 9	Priority Queue Implementation
Lecture 6	Searching: Binary search, Linear search
Lab 10	Implementation of Binary and Linear search
Lecture 7	Sorting-1 (Insertion Sort, Selection, Bubble Sort, Quick Sort)
Lab 11	Implementation of sorting techniques-1
Lecture 8	Sorting-2(Two Way Merge Sort, Heap Sort, Radix Sort)
Lab 12	Implementation of sorting techniques-2
Lecture 9	Tree terminology, Binary Tree, Tree Traversal
Lab 13	Implementation of binary tree
Lecture 10	Binary search tree, AVL tree
Lecture 11	B-Tree, B+ Tree
Lab 14	Implementation of Binary Search Tree
Lecture 12	Graph terminology, Graph representation, Graph traversal
Lecture 13	Spanning trees
Lecture 14	Hashing: Hash Function, Collision Resolution Strategies
Lecture 15	Storage Management: Garbage Collection and Compaction.
Lab 15	Implementation of Graph
Certification Practise Test-1
Certification Practise Test-2
Certification Practise Test-3

Lecture/Lab No	Topic covers
Lecture 1	What is Java, Java & JVM, JVM Architecture, OOPs, Class & object
Lecture 2	Basics for Java Programming
Lecture 3	Command line arguments, Data Types, Type Casting, Runtime Inputs in Java
Lab 1	Basics of Java programmings
Lecture 4	Conditional Control Statements if if-else switch-case Looping(for/while/do while/for each/Loop Label) & Conditions with interview related programs, varArgs, Boxing and Unboxing, Programming Examples
Lab 2	Uses of conditional statement and Loops
Lecture 5	Constructor & Factory Methods, object cloneing, object & Instance, Singleton class
Lecture 6	this operator, Inheritance, Annotations, class members & instance members,
Lab 3	Constructor, this, Inheritance Lab
Lecture 7	Super,static Block & Initialized block, Constructor chaining with this & super, final keyword,
Lecture 8	Inner classes, Local Inner classes, Anonymous classes, static & static import
Lab 4	super, static, Constructor Chaining, Inner class Exercise
Lecture 9	packages & own package, Access Modifiers in java & uses
Lecture 10	Exceptions, Checked & Unchecked Exception, Exception Handling & Own Exception classes, try with resources, interview related Questions on exception handling.
Lab 5	Package & Exception handling Lab
Lecture 11	Abstract classes & Interfaces + Marker Interfaces, Functional Interfaces, Interview Questions on Abstract class & Interfaces
Lecture 12	Coupling(Loosely-coupled & Tightly Coupled), Design Patterns
Lab 6	Abstract classes & Interfaces Lab
Lecture 13	String Handling (diff b/w String, StringBuffer, StringBuilder class), why String class declare as immutable
	Reflection API.
Lab 7	String handling Lab
Lecture 14	Arrays, Collection Framework/API, Generics, own Generic class & Generic methods & design own Collection Framework design, Diamond Expression, Java Enum, Aggregation, Java Lambda Expressions, forEach() method.
Lecture 15	Collection Framework Contd
Lecture 16	Collection Framework Contd.
Lab 8	Collection Framework Lab
Lab 9	Collection Framework Lab
Lecture 17	Java Method References, Java StringJoiner, Java Optional Class
Lecture 18	Java I/O + Other core concepts
Lab 10	I/O Lab
Lecture 19	diff b/w - JDK1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 1.10, 1.11, 1.12 to 1.19
Lecture 20	Contd….
Lab 11	Lab ….
Lecture 21	GUI Components, Layouts, AWT & Swing, Form Designing.
Lab 12	AWT & Swing Lab
Lecture 22	GUI Components, Layouts, AWT & Swing, Form Designing Contd...
Lab 13	AWT & Swing Lab
Lecture 23	Event handling with Listeners + Adapter classes & with Anonymous classes
Lab 14	Event handling Lab Contd..
Certification Practise Test-1
Certification Practise Test-2
Certification Practise Test-3

Lecture/Lab No	Topic covers
Lecture 1	What is Java, Java & JVM, JVM Architecture, OOPs, Class & object
Lecture 2	Basics for Java Programming
Lecture 3	Command line arguments, Data Types, Type Casting, Runtime Inputs in Java
Lab 1	Basics of Java programmings
Lecture 4	Conditional Control Statements if if-else switch-case Looping(for/while/do while/for each/Loop Label) & Conditions with interview related programs, varArgs, Boxing and Unboxing, Programming Examples
Lab 2	Uses of conditional statement and Loops
Lecture 5	Constructor & Factory Methods, object cloneing, object & Instance, Singleton class
Lecture 6	this operator, Inheritance, Annotations, class members & instance members,
Lab 3	Constructor, this, Inheritance Lab
Lecture 7	Super,static Block & Initialized block, Constructor chaining with this & super, final keyword,
Lecture 8	Inner classes, Local Inner classes, Anonymous classes, static & static import
Lab 4	super, static, Constructor Chaining, Inner class Exercise
Lecture 9	packages & own package, Access Modifiers in java & uses
Lecture 10	Exceptions, Checked & Unchecked Exception, Exception Handling & Own Exception classes, try with resources, interview related Questions on exception handling.
Lab 5	Package & Exception handling Lab
Lecture 11	Abstract classes & Interfaces + Marker Interfaces, Functional Interfaces, Interview Questions on Abstract class & Interfaces
Lecture 12	Coupling(Loosely-coupled & Tightly Coupled), Design Patterns
Lab 6	Abstract classes & Interfaces Lab
Lecture 13	String Handling (diff b/w String, StringBuffer, StringBuilder class), why String class declare as immutable
	Reflection API.
Lab 7	String handling Lab
Lecture 14	Arrays, Collection Framework/API, Generics, own Generic class & Generic methods & design own Collection Framework design, Diamond Expression, Java Enum, Aggregation, Java Lambda Expressions, forEach() method.
Lecture 15	Collection Framework Contd
Lecture 16	Collection Framework Contd.
Lab 8	Collection Framework Lab
Lab 9	Collection Framework Lab
Lecture 17	Java Method References, Java StringJoiner, Java Optional Class
Lecture 18	Java I/O + Other core concepts
Lab 10	I/O Lab
Lecture 19	diff b/w - JDK1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 1.10, 1.11, 1.12 to 1.19
Lecture 20	Contd….
Lab 11	Lab ….
Lecture 21	GUI Components, Layouts, AWT & Swing, Form Designing.
Lab 12	AWT & Swing Lab
Lecture 22	GUI Components, Layouts, AWT & Swing, Form Designing Contd...
Lab 13	AWT & Swing Lab
Lecture 23	Event handling with Listeners + Adapter classes & with Anonymous classes
Lab 14	Event handling Lab Contd..
Certification Practise Test-1
Certification Practise Test-2
Certification Practise Test-3

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