Course Modules

Module Description Duration Focus Area
1 Inducing the Aspirant’s Logical abilities from the angle of Technical Perspective with the flavor of Mathematics and Formulae Derivation. 30 Hrs Logic Building
2 Making Proficient in 1 Programming Language among (C/C++, JAVA, Python) with Problem Solving Skills through Data Structures and Algorithms 30/42/30 Hrs Tech Conceptual Skills
3 Value Added Courses (VAC): Computer networks, DBMS, CO, Operating Systems, Cloud Computing, IOT 39 Hrs Value Added Courses
4 Problem Solving through the Data structures and Algorithms of Problem Solving Strategies 135 Hrs (93 Hrs + 42 Hrs) Problem Solving through DSA
5 Full Stack Development Frameworks within Java and Python 48 Hrs Full Stack Frameworks
Total Number of Hours 282 Hrs to 294 Hrs

[Module 1 - Logic Building]
Key Points
Module Common Building Blocks – Programming Language Constructs – Logic Building
Objectives
  • Understanding the Programming Fundamentals
  • Hands on Logic Development strategies
Pre-Requisites Trainees should be Sincere with Learning Attitude and have basic knowledge on C/C++/Java/Python
Duration 30 Hrs. Theory
Selection Criteria Assessment Test (Optional)
Batch Size Max. 150 per Trainer
Forwards upon
Better Performance
  • Better Performance
  • Module 2 (Prior Fixed Criteria)
  • Can prepare for both Service/Product Based Companies

S. No List of Topics No. of Hrs
1 Number Systems 1
2 Binary Number System 1
3 8 bit/16 bit/32 bit/64 bit Unsigned Patterns 1
4 8 bit/16 bit/32 bit/64 bit Signed Patterns 2
5 Data Ranges 1
6 Fibonacci Series 6
7 Prime Numbers 3
8 GCD, LCM 6
9 Factorials 3
10 Arithmetic 6
Total No of Theory Hrs for Module 1 30

Key Points Details
Module Info Technical Conceptual Skills – Programming Language Skills
Objectives Preparing students for Placements in Service Based Companies, Learning a Programming Language and becoming proficient in that.
Pre-Requisites Module 1 Passing with Prior set Eligibility Criteria, Pre-Qualifying Assessment Test (If Module 1 not attended)
Duration 30 Hrs. for C/C++, Python
42 Hrs. for JAVA
Selection Criteria Pre-Qualifying Assessment Test (Mandatory)
Batch Size Max. 150 per Trainer
Forwards upon Better Performance Module 3, Module 2 Solidifying

S. No List of Topics No. of Hrs
1 Basic Programming Constructs, Data types 1
2 Decision Making Statements, Loops 2
3 Patterns 3
4 Functions & Recursion 3
5 Arrays 3
6 Strings 3
7 Searching & Sorting 3
8 Pointers 3
9 Files 3
10 Structures And Union 3
11 DMA 3
Total No of Theory Hrs. for Module 2 30

Module 2 – Tech Conceptual Skills
S. No List of Topics No. of Hrs.
1 Introduction to JVM, JRE, JDK, Class Loading subsystem 3
2 Introduction to OOPS: Data Abstraction, Encapsulation 3
3 Polymorphism, Static Vs Dynamic Binding 3
4 Inheritance 3
5 Packages and Access Control 3
6 Exception Handling 3
7 Abstract Classes 3
8 Interfaces in and after JDK8 3
9 Inner Classes 3
10 Multi-Threading, Producer Consumer Problem 3
11 Collections and Generics 12
Total No of Theory Hrs. for Module2 42

S. No List of Topics No. of Hrs.
1 Basics 1
2 Data Types and Operators 2
3 Control Statements 3
4 Strings 3
5 Lists 3
6 Tuples 3
7 Sets 3
8 Dictionary 3
9 Functions 3
10 OOPS 3
11 NumPy 3
Total Theory Hrs. 30

Key Points Details
Module Info Value Added Courses – Computer Networks – DBMS – OS – Cloud Computing – IOT
Objectives Mastering in Company Specific Topics, Learning above-mentioned value-added courses and becoming proficient in them.
Pre-Requisites Module 2 Passing with Prior set
Eligibility Criteria Pre-Qualifying Assessment Test (If Module 2 not attended)
Duration 39 Hrs. (30 Hrs. Theory & 42 Hrs. Practical)
Selection Criteria Pre-Qualifying Assessment Test (Mandatory)
Batch Size Max. 150 per Trainer
Forwards upon Better Performance Module 4
Module 3 Solidifying Conver to HTML table

S. No List of Topics No. of Hrs.
1 Computer Networks – Theory 3
2 Computer Organization – Theory 3
3 Computer Networks – Problems (Company Specific Content) 6
4 Computer Organization – Problems (Company Specific Content) 6
5 SQL in DBMS 6
6 PLSQL in DBMS 6
7 Operating Systems – Process Management – Theory 1
8 Operating Systems – Process Management – Problems 2
9 Cloud Computing – Essentials for Placement Test 3
10 IOT – Essentials for Placement Test 3
Total No of Hrs. for Module 3 39

Key Points Details
Module Info Data Structures and Algorithms – Built in Libraries
Objectives
  • Mastering students in Problem solving for Placements in Service Based Companies through DSA
  • Cracking Coding Contests and Competitions
Pre-Requisites Module 3 Passing with Prior set
Eligibility Criteria Pre-Qualifying Assessment Test (If Module 3 not attended)
Duration 135 Hrs. (93 Hrs. Theory and 42 Hrs. Practical)
Selection Criteria Pre-Qualifying Assessment Test (Mandatory)
Batch Size Max. 150 per Trainer
Forwards upon Better Performance
  • Module 5
  • Module 4 Solidifying

S. No List of Topics No. of Hrs
1 Bit Manipulation 2
2 Time and Space Complexity 2
3 Hash Set and Hash Map/ Dictionary 6
4 Stack – Queue 6
5 Heap – MaxHeap – MinHeap – Heap Sort – Priority Queue 6
6 Sieve Algorithm, Concepts and Variations 3
7 Linked Lists with Recursion and NonRecursion 6
8 Trees – Binary Trees – BST – AVL Trees 12
9 Graphs – Traversals 3
10 Dynamic Programming 18
11 Graph Algorithms 12
12 Greedy Algorithms 3
13 Divide and Conquer Problems 3
14 Back Tracking as Problem Solving strategy 3
15 Sliding Window and Two Pointer Technique 6
Total No of Theory Hrs. for Module4 93

S. No Practice Problems/Contests/Platform No. of Hrs
1 VJudge Contest on Bit Manipulation 3
2 MCQ Based Assessment Test on Time and Space Complexity 3
3 VJudge Contest on Set and Map 3
4 VJudge Contest on Stack and Queue 3
5 VJudge Contest on PriorityQueue Based Problems 3
6 MasterPick Practice Problems on Linked List 3
7 MasterPick Practice Problems on Trees 3
8 MasterPick Practice Problems on Graphs 3
9 MasterPick Practice Problems on Dynamic Programming 6
10 MasterPick Practice Problems on Greedy Algorithms 3
11 MasterPick Practice Problems on Divide and Conquer Algorithm 3
12 MasterPick Practice Problems on Backtracking Algorithms 3
13 VJudge Contest on Sliding Window and Two Pointer Techniques 3
Total No of Practical Hrs. for Module 4 42

Key Points Advanced Java – Full Stack Frameworks
Objectives
  • Mastering students to learn the full stack Frameworks.
  • Able to develop the Mini Projects
Pre-Requisites Module 4 Passing with Prior set
Eligibility Criteria Pre-Qualifying Assessment Test (If Module 4 not attended)
Duration 48 Hrs.
Selection Criteria Pre-Qualifying Assessment Test (Mandatory)
Batch Size Max. 150 per Trainer
Forwards upon Better Performance
  • Module 5
  • Module 4 Solidifying

S. No List of Topics No. of Hrs
1 Web 3.0 – HTML – CSS - JavaScript 3
2 Ajax, Jquery 3
3 Java Servlets 6
4 JSP 6
5 CRUD Operations 6
6 Hibernates 9
7 Springs Framework 12
8 Mern Stack Orientation 3
Total No of Theory Hrs. for Module5 48

* All the Module can be customized