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SEED by Mind Map: SEED

1. Module 2

1.1. Before 4th Sem

1.1.1. Java Programming

1.1.1.1. Java Environment Setup

1.1.1.2. Datatypes, Loops, Control Statements

1.1.1.3. RegEx, Data Structures & Exceptions

1.1.1.4. Threads & Generics

1.1.1.5. File I/O Programming

1.1.1.6. File Formats

1.1.1.6.1. JSON

1.1.1.6.2. CSV

1.1.1.6.3. Text

1.1.1.7. Arrays, Multi-Dimensional Arrays

1.1.1.8. OOPS

1.1.1.8.1. Class and Object

1.1.1.8.2. Polymorphism

1.1.1.8.3. Inheritance and Multiple Inheritance

1.1.1.9. Collections Framework

1.1.1.9.1. List,

1.1.1.9.2. Set

1.1.1.9.3. Map

1.1.2. Database Skills

1.1.2.1. Data Evolution

1.1.2.2. ACID vs BASE vs CAP Design goals

1.1.2.3. RDBMS

1.1.2.3.1. Normalization techniques

1.1.2.3.2. SQL Basics

1.1.2.3.3. Tables and Views

1.1.2.4. NoSQL

1.1.2.5. ETL Basics

1.1.3. Linux Shell Scripting

1.1.3.1. Shell Variables

1.1.3.2. Trouble Shooting

1.1.3.3. Shell Script Parameters

1.1.3.4. Arithmetic, Relational and Boolean Operators

1.1.3.5. String Operators

1.1.3.6. Control Structures

1.1.3.7. getopts

1.1.3.8. Shell Substitution

1.1.4. Web Dev

1.1.4.1. HTML, CSS and JS

1.1.4.2. PHP Programming

1.1.4.3. Build a PHP Web App with MySQL as the backend

1.1.5. Aptitude

1.1.5.1. Logical Reasoning

1.1.5.2. Problem Solving

1.1.5.3. Quantitative Aptitude

2. Module 1

2.1. Before 2nd Sem

2.1.1. Master O/S Skills

2.1.1.1. Windows O/S

2.1.1.1.1. NTFS File System

2.1.1.1.2. Customize to suit your taste

2.1.1.1.3. Network and Internet

2.1.1.1.4. Security

2.1.1.1.5. 21 Hidden Secrets

2.1.1.1.6. Windows Services

2.1.1.1.7. Windows Registry

2.1.1.1.8. Administrator mode

2.1.1.2. Linux O/S

2.1.1.2.1. Architecture

2.1.1.2.2. Absolute vs Relative Path

2.1.1.2.3. Aliases

2.1.1.2.4. Directory Commands

2.1.1.2.5. Vi Editor

2.1.1.2.6. Linux File System

2.1.1.2.7. umask

2.1.1.2.8. stdin, stdout, stderr

2.1.1.2.9. ENV Variables and PATH

2.1.1.2.10. sed, awk,grep and find

2.1.1.2.11. Process Management Commands

2.1.1.2.12. ssh and scp

2.1.1.2.13. cron jobs

2.1.2. C- Programming Mastery

2.1.2.1. i/o operations

2.1.2.2. Branching and Looping

2.1.2.3. Arrays

2.1.2.4. Implement Search and Sort using Algo

2.1.2.5. Structures and Pointers

2.1.3. Data Structures and Algorithms

2.1.3.1. Arrays

2.1.3.2. Stack, Queue, Tree, Linked List

2.1.3.3. Sorting and Searching

2.1.3.4. Hashing

2.1.3.5. Recursion

2.1.4. git and github

2.1.4.1. Git Basics

2.1.4.2. Git Branching

2.1.4.3. Github

2.1.4.4. Git Internals

2.1.5. Productivity Tools and Tips

2.1.5.1. Evernotes

2.1.5.2. Snipping tool

2.1.5.3. notepad++

2.1.5.4. Visual Studio Code

2.1.5.5. Everything - Search Tool

2.1.5.6. sublime text

2.1.5.7. cygwin

2.1.6. Art of Documentation and Presentation

2.1.7. Build Confidence with Public Speaking

3. Module 3

3.1. Before 6th Sem

3.1.1. Advanced Java

3.1.1.1. DB Connectivity

3.1.1.1.1. ORM Concepts

3.1.1.1.2. JPA Standards

3.1.1.1.3. Hibernate - JPA Provider and ORM Tool

3.1.1.2. Spring Framework

3.1.1.2.1. Java Annotations

3.1.1.2.2. MVC Architeture

3.1.1.2.3. IOC and Dependency Injection

3.1.1.3. Spring Boot 2.0

3.1.1.3.1. REST API

3.1.1.3.2. CRUD

3.1.1.3.3. Security

3.1.1.3.4. Build End-to-End Spring Boot Application

3.1.2. Python basics

3.1.2.1. Learn to use Jupyter Notebook

3.1.2.2. Variable, Expression and Statements

3.1.2.3. Conditionals and recursion

3.1.2.4. Functions

3.1.2.5. Modules

3.1.2.6. Anakonda

3.1.2.7. Fruitful Functions

3.1.2.8. Iteration

3.1.2.9. Strings

3.1.2.10. Lists

3.1.2.11. Tuples

3.1.2.12. Files and Exceptions

3.1.3. Serverless Computing

3.1.4. Microservices

3.1.5. Big Data and Analytics

3.1.5.1. Hadoop

3.1.5.1.1. 4 Vs

3.1.5.1.2. HDFS Commands

3.1.5.1.3. NN High Availability

3.1.5.1.4. HDFS and YARN Architecture

3.1.5.1.5. MapReduce 2.0

3.1.5.2. Hive

3.1.5.2.1. What Hive is and What Hive is not

3.1.5.2.2. Beeline

3.1.5.2.3. Managed and External Table

3.1.5.2.4. Partitioning

3.1.5.2.5. Bucketing

3.1.5.3. Spark Programming using Java

3.1.5.3.1. RDD

3.1.5.3.2. DataFrames

3.1.5.3.3. Datasets

3.1.5.3.4. SparkSQL

3.1.5.3.5. Streaming

3.1.5.4. ML Algo for Big Data Analytics

3.1.6. Corporate Interview Skills