Specific Placement Oriented Training Programs

Off Campus Drives - Accenture, Infosys, IBM, Hexaware, TechMahindra, and Cognizant

Syllabus Covered

1. English Ability

• Topics to Cover:

  • Synonyms and Antonyms

  • Sentence Construction & Improvement

  • Error Identification and Correction

  • Reading Comprehension

  • Fill in the Blanks / Sentence Completion

  • Para Jumbles & Passage Completion

  • Subject-Verb Agreement, Tenses, Prepositions

  • WET- Written English Test Practice

• Practice:

  • Daily 20-minute reading exercises and 20-minute vocabulary building (Synonyms/Antonyms).

2. Aptitude and Reasoning Skills

Logical and Analytical Reasoning

• Topics to Cover:

• Number Series, Analogies, Blood Relations, Syllogism

• Seating Arrangements, Puzzles, Coding-Decoding

• Directional Sense, Data Sufficiency,

• Input Output questions, Decision making, Puzzles and Statement Assumption questions

• Practice:

• 2 sets of 25-minute mock tests daily focusing on the topics above.

• Daily practice on solving puzzles and reasoning problems.

Problem-Solving & Quantitative Aptitude

• Topics to Cover:

• Percentages, Profit and Loss, Simple and Compound Interest

• Speed, Time, and Distance, Time and Work, Algebra

• Permutations, Combinations, Probability

• Averages, Ages, Ratio and Proportion, Data Interpretation

• Practice:

• Practice 2 sets of 30-minute math tests focusing on word problems and analytical reasoning.

3. Technical Skills

Pseudocode & Coding Basics

• Topics to Cover:

• Looping, Arrays, Conditional Statements, Functions, Recursion

• Inheritance, Method Overriding, Sorting, Complexity Analysis

• Practice:

• Solve 3-4 coding problems on platforms like HackerRank, LeetCode, or CodeChef.

• Mock test: 1 hour to write pseudocode for a given problem.

Data Structures and OOP

• Topics to Cover:

• Arrays, Linked Lists, Stacks, Queues

• OOP Concepts, Classes & Objects, Inheritance

• Functions, File Handling, Exception Handling, Libraries

• Practice:

• Implement basic data structures in any programming language.

• Work on small projects that use these data structures.

Advanced Data Structures & Algorithms

• Topics to Cover:

• Searching and Sorting Algorithms

• Stacks, Queues, Trees, Graphs

• Recursion, Dynamic Programming, Backtracking

• Practice:

• Daily coding practice on advanced algorithms.

• Solve problems related to sorting, searching, and recursion.

SQL and Databases

• Topics to Cover:

• SQL Queries (DDL, DML, DCL, TCL), Joins, Subqueries

• Basic concepts of databases: Primary/Foreign keys, Constraints, Views

• Practice:

• Solve SQL query challenges on platforms like LeetCode, Hackerrank.

• Write SQL queries for creating tables, joining multiple tables, and working with data.

Cloud Computing & Networking

• Topics to Cover:

• Cloud Computing Fundamentals

• Networking Security, Firewalls, Encryption

• Cloud Service Providers, Data Centers, Client-Server Architecture

• Practice:

• Go through basic cloud concepts and practical applications (AWS, Azure basics).

• Learn about networking protocols, security devices, and cloud services.

System Design & DBMS

• Topics to Cover:

• Database Design

• Basic concepts of system design

• Practice:

• Design simple systems using relational databases.

• Write database schema, and perform query optimization.

Mock Tests for Aptitude & Technical

• Topics to Cover:

• Full-length aptitude and reasoning tests.

• Full-length technical coding tests.

• Practice:

• Take full-length practice exams under time constraints.

Interview Preparation

• Topics to Cover:

• Review core computer science fundamentals: OS, DBMS, Networking.

• Study common coding interview questions and practice solutions.

• Prepare for behavioral questions (HR round).

• Mock Interview:

• Simulate interviews focusing on both technical and HR rounds.

• Use platforms like Pramp or Interviewing.io for mock technical interviews.