DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING


Value Added Programs

Sl. No Program Title’s Company’s Name Report Link
1 Basics of Python Infosys Spring Board Link
2 Python Programmer Infosys Springboard Link
3 Fundamentals of Cryptography Infosys Springboard Link
4 HTML 5- The Language Infosys Springboard Link
5 Cascading Style Sheets- CSS3 Infosys Springboard Link
6 Introduction to Artificial Intelligence Infosys Springboard Link
7 AWS Cloud Practitioner Aws Academy Link
8 Java Foundations Oracle Academy Link
9 Database Foundations Oracle Academy Link
10 Introduction to Natural Language Processing Infosys Springboard Link
11 Cyber Security and Ethical Hacking Quantum Learnings Link

Value Added Course Content

Basics of Phyton

Course Basics of Python Associate Company Infosys Springboard
Course Coordinator Sunitha Vignan Gundabattu
Vidya Kadhari Prahalada Rao
Course Duration/Total Hours 90 Mins
Course Objectives:
  1. Students will learn the basic syntax of Python programming language.
  2. Students will learn how to use Python data types, variables, operators, and conditionals.
  3. Help students develop their problem-solving and programming skills.
Module-1 Data types, Variables and Operators 50 Mins
Module-2 Programming Constructs and Collections 40 Mins
Course Outcomes:

CO 1: Learners will demonstrate a comprehensive understanding of Python's fundamental concepts, including variables, data types, and basic syntax, enabling them to write simple Python programs.
CO2: Learners will be proficient in using control flow structures such as conditionals (if-else statements) and loops (for and while loops) to solve problems and make decisions in Python.
CO3: Learners will ability to define and use Python functions to modularize their code.

Python Programmer

Course Python Programmer Associate Company Infosys Springboard
Course Coordinator Daniel Arbuckle
Krishnendu Chakraborthy
Course Duration/Total Hours 360 Mins
Course Objectives:
  1. Students will be able to use Python to develop web applications, desktop applications, and other types of software applications.
  2. Students will be able to use Python to interact with databases, APIs and other external systems.
  3. Students will be able to test and debug their Python code to ensure that it is correct and efficient.
Module-1 Built-in Data Structures, First-Class Functions and Classes, Extensive Standard Library and Setting up Python 60 Mins
Module-2 Installing packages with pip, creating package and adding modules to the package 40 Mins
Module-3 Making package executable via python-m, Handling Command Line arguments with argparse, Interacting with user 60 Mins
Module-4 Parallel Processing, Multi-processing, Coroutines and Asynchronous IO and Multitask, Metaprogramming 120 Mins
Module-5 Unit Testing, Reactive Programming, Microservices 120 Mins
Course Outcomes:

CO 1: Use Object-oriented programming principles and techniques to design and implement python programs.
CO2: Apply python data structures and algorithms to solve complex problems.
CO3: Develop python software application for web desktop and other platforms.

Fundamentals of Cryptography

Course Fundamentals of Cryptography Associate Company Infosys Springboard
Course Coordinator Rituza Khare
Vivek Gusain
Laxmi Chhibbar
Vishnu Ganesh V
Adithi R Hegde
Course Duration/Total Hours 150 Mins
Course Objectives:
  1. Understand the need for three cryptographic primitives namely - encryption, hashing and digital signatures.
  2. Describe hashing mechanism and explain the properties of a good hashing algorithm.
  3. Describe the digital signature generation and verification process.
Module-1 Shared Key Cryptography – Illustration., Shared Key Cryptography, Shared key cryptography - Quiz 1, Public Key Cryptography - Illustration 60 Mins
Module-2 Public Key Cryptography, Public key cryptography - Quiz, Hashing, Digital Signature – Illustration, Digital Signature, Applications of cryptography, Assessment 90 Mins
Course Outcomes:

CO 1: Learners will be understanding of the fundamental cryptographic principles, including encryption, decryption, hashing, and key management.
CO2: The learners will gain an understanding of network security and how it works.
CO3: Learners will gain an understanding of application security and design.

HTML 5- The Language

Course HTML 5- The Language Associate Company Infosys Springboard
Course Coordinator Krishnendu Chakraborty Course Duration/Total Hours 300 Mins
Course Objectives:
  1. Understand the structure and purpose of a website by viewing its HTML.
  2. Learn how to create a wireframe structure and HTML5 tags for a web page.
  3. Acquires a basic understanding of the Apis, such as geolocation.
Module-1 Introduction To Html5, New Elements In Html5 (In Addition To Html), New Elements In Html5 Continues, Html 5 Demo, More Demos In Html5, Html 5 Demo Continues, Tag Example In Html5, Form Tag And Input Tag In Html5, Form Tag And Input Tag In Html 5 Continues, More Tag Examples In Html 5, Tag Examples, Tag Example 8 Start Ofsvg, Tag Example 9 Svg , Tag Example 10 Audio Video 120 Mins
Module-2 Apis, Geolocation Apis, Drag & Drop Api, Web Storage API, Web Cache API. 60 Mins
Module-3 Web Worker API, Sseapi, Assessment 120 Mins
Course Outcomes:

CO1: Learners will attain proficiency in writing HTML5 code, including the use of semantic elements, multimedia embedding, and form controls, to create structured and up-to-date web content.
CO2: how to create responsive web pages using HTML5 and CSS3, ensuring that web content adapts smoothly to various screen sizes and devices.
CO3: Learners will understand the API with respect to Web Applications

Cascading Style Sheets- CSS3

Course Cascading Style Sheets- CSS3 Associate Company Infosys Springboard
Course Coordinator Kavya Ramakrishna
Kavana
Anitha Kumari Konda
Priya Mukesh Gupta
Course Duration/Total Hours 645 Mins
Course Objectives:
  1. Apply different CSS3 selectors to HTML elements, Style HTML elements using new color models of CSS3
  2. Recognize the border-radius, box-shadow, text-shadow, and border-image HTML elements. Web fonts can be used to style text on a website, and CSS3 can be used to generate 2D transforms.
  3. Acquires the ability to animate HTML components with CSS3, as well as develop responsive web pages with media queries. Implement security mitigation measures and best practices.
Module-1 Getting Started with CSS3: Selectors, Cascading Order 145 Mins
Module-2 Typography, Box Model, Transformations 290 Mins
Module-3 Transitions, Animations, Responsive Web Design, Security 210 Mins
Course Outcomes:

CO1: Learners will develop a solid understanding of CSS3, including selectors, properties, values, and the box model, enabling them to style HTML documents.
CO2: Learners will develop a solid understanding of CSS3, including selectors, properties, values, and the box model, enabling them to style HTML documents.
CO3: Learners will gain expertise in advanced CSS3 features such as animations, transitions, and transformations, able to create visually engaging web experiences and understand the principles of modern web design.

Introduction to Artificial Intelligence

Course Introduction to Artificial Intelligence Associate Company Infosys Springboard
Course Coordinator Rithesh Kumble
Sekhar Subramanian
Sunaina Allamraju
Paritosh Tiwari
Vivek Kumar
Vikas Verma
Swetha Sree S
Course Duration/Total Hours 600 Mins
Course Objectives:
  1. Understand why AI is in demand; get familiarized with commonly used AI techniques.
  2. Become familiar with some algorithms, AI architecture.
  3. Understands adoption of AI across domains, knowing the leading AI Platforms
Module-1 Why AI? Case Studies - Part 1, Case Studies - Part 2, AI Business Opportunities, Business Value of AI, Case Studies – Quiz 60 Mins
Module-2 History of AI, Types of AI, Aspects of AI - Part 1,Aspects of AI - Part 2,Technical view of AI, Machine Learning, How does a machine make predictions?, Supervised Learning Types of supervised learning, Classification, Support Vector Machine (SVM),Decision Tree, K- Nearest Neighbors KNN),Logistic Regression, Regression, Deep Learning ,Types of Artificial Neural Network (ANN),Overfitting and Underfitting, Ensemble method and Random Forest, Bias Variance Tradeoff, Unsupervised Learning, Types of Unsupervised Learning, Reinforcement Learning, Timeseries Forecasting, AI is the new UI 300 Mins
Module-3 AI in Practice, AI in Business, AI Platforms, Assessments 240 Mins
Course Outcomes:

CO1: Learners will develop understanding of the fundamental concepts, principles, and techniques that underpin artificial intelligence, including machine learning, neural networks, and natural language processing.
CO2: Learners will be able to apply AI techniques to solve real-world problems across various domains, including computer vision, robotics, healthcare, and finance, demonstrating the practical applications of AI.
CO3: Learners will obtain a thorough understanding of the landscape of AI platforms, including cloud-based ones like AWS SageMaker, Google AI Platform, and Microsoft Azure ML.

AWS Cloud Practitioner

Course AWS Cloud Practitioner Associate Company AWS
Course Coordinator Prof. Jagadevi Bakka Course Duration/Total Hours 90 Hrs
Course Objectives:
  1. Equip students with fundamental cloud computing knowledge and an understanding of AWS services.
  2. Ensure proficiency in utilizing key AWS services and navigating the AWS Management Console.
  3. Instill knowledge of cloud governance, security, and compliance in accordance with industry standards.
Module-1 Introduction to Amazon Web Services 5 Hrs
Module-2 Compute in the Cloud 15 Hrs
Module-3 Global Infrastructure and Reliability 5 Hrs
Module-4 Networking 10 Hrs
Module-5 Storage and Databases 10 Hrs
Module-6 Security 10 Hrs
Module-7 Monitoring and Analytics 10 Hrs
Module-8 Pricing and Support 10 Hrs
Module-9 Migration and Innovation 10 Hrs
Module-10 The Cloud Journey 5 Hrs
Course Outcomes:

CO1: Upon completion, students will demonstrate the ability to deploy and manage basic AWS services effectively.
CO2: Graduates will understand the core principles of cloud computing and be able to make informed decisions on cloud adoption.
CO3: Successful participants will be prepared to pass the AWS Certified Cloud Practitioner exam and embark

Java Foundation

Course Java Foundation Associate Company Oracle Academy
Course Coordinator Prof. Manimegalai A Course Duration/Total Hours 40 Hrs
Course Objectives:
  1. Students will understand the concepts of Java programming.
  2. Students will learn how to design object-oriented applications with Java.
  3. Students will learn creating Java programs using hands-on, engaging activities..
Module-1 Introduction, Java software development 6 Hrs
Module-2 Java data types, Java methods and Library classes 10 Hrs
Module-3 Decision statements, Loop constructs 8 Hrs
Module-4 Creating classes, Arrays and exceptions 8 Hrs
Module-5 JavaFX 8 Hrs
Course Outcomes:

CO1: Students will be able to apply the concepts of Java programming.
CO2: Students will be able to design object-oriented applications with Java.
CO3: Students will design Java programs using hands-on, engaging activities.

Database Foundation

Course Database Foundation Associate Company Oracle Academy
Course Coordinator Prof. Manimegalai A Course Duration/Total Hours 40 Hrs
Course Objectives:
  1. Students will learn the basic relational database concepts.
  2. Students will learn and understand relational database terminology and data modeling concepts.
  3. Students will learn building Entity Relationship Diagrams (ERDs), and also mapping ERDs.
Module-1 Introduction 6 Hrs
Module-2 Databases and database Modeling 10 Hrs
Module-3 Refining data model, Oracle SQL Developer Data Modeler 8 Hrs
Module-4 Mapping to the Physical Model 8 Hrs
Module-5 Introduction to SQL 8 Hrs
Course Outcomes:

CO1: Students learnt the concepts of relational database.
CO2: Students will be able to apply relational database terminology and data modeling concepts.
CO3: Students will be able to build Entity Relationship Diagrams (ERDs), and also map ERDs.

Introduction to Natural Language Processing

Course Introduction to Natural Language Processing Associate Company Infosys Springboard
Course Coordinator Sekhar Subramanian
Swetha Sree S
Course Duration/Total Hours 180 Mins
Course Objectives:
  1. Understand the fundamental concepts of NLP.
  2. Identify examples of where NLP is used in business and the trends in its use.
  3. Discuss the challenges in natural language processing, including ambiguities and other challenges.
Module-1 NLP and its Applications, Examples of where NLP is used, NLP trends in business, Quiz: What is NLP, Challenges in Natural Language Processing: Challenges in NLP, Ambiguities in Natural Language, Quiz: Ambiguities in NLP, Other Challenges in NLP. 80 Mins
Module-2 NLP Pipeline, Ambiguity Haunts Again, Exercise: Ambiguity haunts again! No word is alone!, Deep Learning for NLP, Deep Learning and NLP, Ambiguity 100 Mins
Course Outcomes:

CO1: Acquires the knowledge of natural language processing is and appreciate and how it is changing our lives today
CO2: Learners can describe the various techniques used in the field of NLP, articulate the business potential of using NLP.
CO3: Recognizing the Comparing various software platforms, tools, and frameworks used to create NLP solutions

Cyber Security and Ethical Hacking

Course Cyber Security and Ethical Hacking Associate Company Quantum Learnings
Course Coordinator Prof. Shammi L Course Duration/Total Hours 78 Hrs
Course Objectives:
  1. To offer students a solid mixture of experts with knowledge of both general and technical aspects of Cyber Security.
  2. To improve the environment for future Cyber Security by boosting cyber education, coordinating, and refocusing research and development activities among students.
  3. To develop best practices, standards, and carry out projects in the area of privacy and cyber security.
Module-1 Introduction to Azure Security 5 Hrs
Module-2 Ethical Hacking Fundamentals 10 Hrs
Module-3 Ethical Hacking in Azure 10 Hrs
Module-4 Security Monitoring and Incident Response 15 Hrs
Module-5 Capstone Project 20 Hrs
Course Outcomes:

CO1: Students will gain a deep understanding of the various types of cyber threats, including malware, phishing, DDoS Attacks and social engineering.
CO2: Students will develop the skills to implement security measures and best practices to protect digital assets.
CO3: Students will be proficient in creating and implementing an incident response plan to effectively handle security incidents.

Pre Qualifier Submitted

Back

Planning to submit the application

Back