Modules

For Tech-Graduates: Part 3

For TECH GRADUATEs

Aptitude & logical Reasoning - Section I

Regular & Long Term modules

For Tech-Graduates: Part 3

Aptitude Module 3

  • Branch & Semester : B.Tech – V Semester
  • Session : September- January

Module Outline:

  1. Need of the Module
  2. Objective of the Module
  3. Expected Outcome
  4. Contents (Unit 1 to Unit 5)
  5. Lectures’ Plan (Lecture 1 to 28)
  6. Evaluation System

1. Need of the Module

Quantitative aptitude measures numerical ability and problem solving skills of students. In most of the placement exam, quantitative aptitude test is conducted as a part of the written exam, which is usually the very first round of the selection process.’

Quantitative aptitude test basically involves mathematical questions. Quantitative aptitude shows one’s ability to comprehend and solve problems.

As the test is time bound, they also test the logical thinking of the candidates and their ability to reason and make effective decision quickly under pressure.

2. Objective of the Module

Aptitude deals in enhancing the abilities of the students and makes them Avant-grade and placement ready by providing them advance learning program. Reasoning enables students to hone their skills so that they are able to use an appropriate approach to tackle the particular situation in the best possible way.

3. Expected Outcome

After successful completion of the module it is expected that students-

  • Will be able to critically evaluate various real life situations by resorting to analysis of key issues and factors.
  • Will be able to read between the lines and understand various language structures.
  • Will have a fair knowledge of Reasoning Ability.
  • Will able to solve problems and correctly arrive at meaningful conclusions regarding their answers.

4. Contents (Unit 1 to Unit 5) 

Unit

Topics

Lectures

UNIT-1

Number System, Simplification, Percentage (Moderate)

Lecture 1-7

 

Practice Sessions

 
 

Assignments

 

UNIT-2

Profit & Loss , Discount

Lecture 8-12

 

Practice Sessions

 
 

Assignment

 

UNIT-3

Permutation & Combination, Classification

Lecture 13-17

 

Practice Sessions

 
 

Assignments

 

UNIT-4

Venn- Diagram , Coding- Decoding

Lecture 18-22

 

Practice Sessions

 
 

Assignments

 

UNIT-5

Puzzle, Statistics & Data Interpretation

Lecture 23-28

 

Practice Sessions

 
 

Assignments

 

 

5. Lecture – Plan (1 to 28)

 

Sr. No.

Topic

Lecture-1

Introduction- Number System

Lecture-2

Practice and Query Session

Lecture-3

Simplification

Lecture-4

Practice and Query Session

Lecture-5

Introduction to Percentage

Lecture-6

Practice session

Lecture-7

Assignment based on Number System, Simplification, Percentage

Lecture 8

Introduction- Profit & Loss  and Query Session

Lecture-9

Practice session

Lecture-10

Introduction- Discount

Lecture-11

Practice and Query Session

Lecture-12

Assignment based Profit & Loss, Discount

Lecture-13

Introduction- Permutation

Lecture-14

Introduction- Combination

Lecture-15

Practice session

Lecture-16

Introduction- Classification

Lecture-17

Practice session

Lecture-18

Introduction- Venn Diagram

Lecture-19

Practice session

Lecture-20

Introduction- Coding Decoding

Lecture-21

Practice session

Lecture-22

Assignment based on Venn Diagram & Coding Decoding

Lecture-23

Introduction- Puzzle

Lecture-24

Querry session

Lecture-25

Practice session

Lecture-26

Introduction- Statistics & Data Interpretation

Lecture-27

Practice session

Lecture-28

Assignment based on Puzzle & Statistics.

 

6. Evaluation System

 The evaluation and assessment plan consists of the following components:

Class attendance and participation in class discussions etc.:

  • Substantial in-class contribution about class topics and discussion questions.
  • Response to other students’ queries
  • Contribution in discussion and chat sessions

Quizzes:

  • Quizzes will be of multiple choice types.

Home-works and assignments:

  • The assignments/home-works may be of multiple choice type or comprehensive type.

The grades and detailed solutions of assignments (of both types) will be shared online/ during classes after the submission deadline.

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