GRE Test Preparation
GRE
Introduction
GRE is a standardized test used as an admission requirement by various graduate schools across the United States of America and other English speaking countries around the world. Though it is primarily a computer based test, in many regions of the world it is also offered as a paper based exam. GRE score requirements vary widely from school to school as well as from one department to another within schools. Unlike GMAT which is essentially a B-schools admission criterion, GRE test takers aim at admissions in varied school types ranging from Engineering, Physical Sciences, Life Sciences, Social Sciences, Education, Humanities and Arts, and even Business Schools ;
DETAILS OF THE GRE TEST STRUCTUREThe GRE is a Computer-based Test comprising of three parts - Quantitative, Verbal and Analytical Writing Assessment.
TypeDescriptionDurationFee
OPTION IThe GRE®
Weekday Group Course
(Regular)
(Monday & Wednesday)8 weeks:
16 hours Verbal training
+ 16 hours Math training
OPTION IIThe GRE®
Weekday one-on-one course
(Monday to Thursday)7 weeks:
14 hours Verbal training
+ 14 hours Math training
SESSION PLAN FOR GRE
SESSION PLAN FOR GRE (MATH)
SESSIONSESSION PLAN FOR GRE (VERBAL)
Session 11. Introduction to Vocabulary:
• Types of questions based on Vocabulary • Strategies for question types
• Worksheet
• Vocabulary - List 1
• WORKSHEET- Home Assignment ( HA)1. ARITHMETIC:
• Decimals
• Exponents and Roots • Fractions
• Integers
Session 2• Discussion of HA
• Vocabulary = List 2 • Vocabulary - List 3 • WORKSHEET - HA• Percent
• Ratio
• Real Numbers
Session 32. Introduction to Passage Reading :
• Types of questions based on passages • Strategies for questions
• Practice worksheet in class
• WORKSHEET - HA2. ALGEBRA:
• Applications
• Coordinate Geometry
• Functions
• Graphs of Functions
• Operations with Algebraic
Expressions
Session 43. Introduction to Analytical styles:
• Class worksheet practice • Vocabulary List 4
• WORKSHEET - HA• Lines
• Rules of Exponents
• Solving Linear Equations
• Solving Linear Inequalities
• Solving Quadratic Equations
Session 5• Vocabulary list 5
• Most common question types -Revision • Practical teaching
• Advanced strategies and tricks
• WORKSHEETS - HA3. GEOMETRY:
• Circles
• Lines and Angles
• Polygons
• Quadrilaterals
• Three-Dimensional Figures • Triangles
Session 64. Introduction to Analysis of Writing Assessment ( AWA):
• Analysis of Issue4. DATA ANALYSIS:
• Counting Methods • Data Interpretation
• Analysis of ArgumentExamples
• Distributions of Data,
Random Variables
• Probability Distributions • Graphical Methods for
Describing Data
• Numerical Methods for
Describing Data • Probability
Our Training Approach:
Introduction
GRE is a standardized test used as an admission requirement by various graduate schools across the United States of America and other English speaking countries around the world. Though it is primarily a computer based test, in many regions of the world it is also offered as a paper based exam. GRE score requirements vary widely from school to school as well as from one department to another within schools. Unlike GMAT which is essentially a B-schools admission criterion, GRE test takers aim at admissions in varied school types ranging from Engineering, Physical Sciences, Life Sciences, Social Sciences, Education, Humanities and Arts, and even Business Schools ;
DETAILS OF THE GRE TEST STRUCTUREThe GRE is a Computer-based Test comprising of three parts - Quantitative, Verbal and Analytical Writing Assessment.
- Quantitative Reasoning — Measures problem-solving ability, focusing on basic concepts of arithmetic, algebra, geometry and data analysis. This section score ranges from 130 to 170, in 1 point increments.
- Verbal Reasoning — Measures your ability to analyze and evaluate written material and synthesize information obtained from it, analyze relationships among component parts of sentences and recognize relationships among words and concepts. This section score ranges from 130 to 170, in 1 point increments.
- Analytical Writing —Measures critical thinking and analytical writing skills, specifically your ability to articulate and support complex ideas clearly and effectively. This section score is awarded on a 0 to 6 band in increments
TypeDescriptionDurationFee
OPTION IThe GRE®
Weekday Group Course
(Regular)
(Monday & Wednesday)8 weeks:
16 hours Verbal training
+ 16 hours Math training
OPTION IIThe GRE®
Weekday one-on-one course
(Monday to Thursday)7 weeks:
14 hours Verbal training
+ 14 hours Math training
SESSION PLAN FOR GRE
SESSION PLAN FOR GRE (MATH)
SESSIONSESSION PLAN FOR GRE (VERBAL)
Session 11. Introduction to Vocabulary:
• Types of questions based on Vocabulary • Strategies for question types
• Worksheet
• Vocabulary - List 1
• WORKSHEET- Home Assignment ( HA)1. ARITHMETIC:
• Decimals
• Exponents and Roots • Fractions
• Integers
Session 2• Discussion of HA
• Vocabulary = List 2 • Vocabulary - List 3 • WORKSHEET - HA• Percent
• Ratio
• Real Numbers
Session 32. Introduction to Passage Reading :
• Types of questions based on passages • Strategies for questions
• Practice worksheet in class
• WORKSHEET - HA2. ALGEBRA:
• Applications
• Coordinate Geometry
• Functions
• Graphs of Functions
• Operations with Algebraic
Expressions
Session 43. Introduction to Analytical styles:
• Class worksheet practice • Vocabulary List 4
• WORKSHEET - HA• Lines
• Rules of Exponents
• Solving Linear Equations
• Solving Linear Inequalities
• Solving Quadratic Equations
Session 5• Vocabulary list 5
• Most common question types -Revision • Practical teaching
• Advanced strategies and tricks
• WORKSHEETS - HA3. GEOMETRY:
• Circles
• Lines and Angles
• Polygons
• Quadrilaterals
• Three-Dimensional Figures • Triangles
Session 64. Introduction to Analysis of Writing Assessment ( AWA):
• Analysis of Issue4. DATA ANALYSIS:
• Counting Methods • Data Interpretation
• Analysis of ArgumentExamples
• Distributions of Data,
Random Variables
• Probability Distributions • Graphical Methods for
Describing Data
• Numerical Methods for
Describing Data • Probability
Our Training Approach:
- Course completion Certificate provided
- Course materials and hand-outs
- Training in small batch for personalized attention
- Training by Qualified professionals and Subject Matter Experts
- Our training starts from Basic yet in detail
- Assist when you need us post training-stay connected with us.
هذه الدورة التدريبية لم تعد متاحة.
السعر: 953 USD
1,906 USD
100% ضمان استعادة الاموال
No questions asked refund With a goal of giving you a worry-free and secure enrollment experience, We offer a 24 hour money-back guarantee. Just send us a refund request via email within 24 hours after first class and we will refund 100% of your payment, no questions asked!
تدريب إفتراضي أونلاين. المحاضرات قد تكون فردية أو ضمن مجموعة.
- مدة الدورة التدريبية: Upto 36 Hours
تفاصيل الدورة
GREIntroduction
GRE is a standardized test used as an admission requirement by various graduate schools across the United States of America and other English speaking countries around the world. Though it is primarily a computer based test, in many regions of the world it is also offered as a paper based exam. GRE score requirements vary widely from school to school as well as from one department to another within schools. Unlike GMAT which is essentially a B-schools admission criterion, GRE test takers aim at admissions in varied school types ranging from Engineering, Physical Sciences, Life Sciences, Social Sciences, Education, Humanities and Arts, and even Business Schools ;
DETAILS OF THE GRE TEST STRUCTUREThe GRE is a Computer-based Test comprising of three parts - Quantitative, Verbal and Analytical Writing Assessment.
- Quantitative Reasoning — Measures problem-solving ability, focusing on basic concepts of arithmetic, algebra, geometry and data analysis. This section score ranges from 130 to 170, in 1 point increments.
- Verbal Reasoning — Measures your ability to analyze and evaluate written material and synthesize information obtained from it, analyze relationships among component parts of sentences and recognize relationships among words and concepts. This section score ranges from 130 to 170, in 1 point increments.
- Analytical Writing —Measures critical thinking and analytical writing skills, specifically your ability to articulate and support complex ideas clearly and effectively. This section score is awarded on a 0 to 6 band in increments
TypeDescriptionDurationFee
OPTION IThe GRE®
Weekday Group Course
(Regular)
(Monday & Wednesday)8 weeks:
16 hours Verbal training
+ 16 hours Math training
OPTION IIThe GRE®
Weekday one-on-one course
(Monday to Thursday)7 weeks:
14 hours Verbal training
+ 14 hours Math training
SESSION PLAN FOR GRE
SESSION PLAN FOR GRE (MATH)
SESSIONSESSION PLAN FOR GRE (VERBAL)
Session 11. Introduction to Vocabulary:
• Types of questions based on Vocabulary • Strategies for question types
• Worksheet
• Vocabulary - List 1
• WORKSHEET- Home Assignment ( HA)1. ARITHMETIC:
• Decimals
• Exponents and Roots • Fractions
• Integers
Session 2• Discussion of HA
• Vocabulary = List 2 • Vocabulary - List 3 • WORKSHEET - HA• Percent
• Ratio
• Real Numbers
Session 32. Introduction to Passage Reading :
• Types of questions based on passages • Strategies for questions
• Practice worksheet in class
• WORKSHEET - HA2. ALGEBRA:
• Applications
• Coordinate Geometry
• Functions
• Graphs of Functions
• Operations with Algebraic
Expressions
Session 43. Introduction to Analytical styles:
• Class worksheet practice • Vocabulary List 4
• WORKSHEET - HA• Lines
• Rules of Exponents
• Solving Linear Equations
• Solving Linear Inequalities
• Solving Quadratic Equations
Session 5• Vocabulary list 5
• Most common question types -Revision • Practical teaching
• Advanced strategies and tricks
• WORKSHEETS - HA3. GEOMETRY:
• Circles
• Lines and Angles
• Polygons
• Quadrilaterals
• Three-Dimensional Figures • Triangles
Session 64. Introduction to Analysis of Writing Assessment ( AWA):
• Analysis of Issue4. DATA ANALYSIS:
• Counting Methods • Data Interpretation
• Analysis of ArgumentExamples
• Distributions of Data,
Random Variables
• Probability Distributions • Graphical Methods for
Describing Data
• Numerical Methods for
Describing Data • Probability
Our Training Approach:
- Course completion Certificate provided
- Course materials and hand-outs
- Training in small batch for personalized attention
- Training by Qualified professionals and Subject Matter Experts
- Our training starts from Basic yet in detail
- Assist when you need us post training-stay connected with us.
