GATE Exam Preparation Course: Computer Science Stream
Looking for a complete prep on GATE 2016? This comprehensive course on GATE for Computer Science Engineers includes lectures on the topics of Quantitative Aptitude, Logical Reasoning, Verbal Ability and Engineering Mathematics along with the GATE Computer Science Engineering topics. Also, get access to topic wise tests for a complete prep on the GATE.
9999 4999
Level
Beginner
# Learners
46
Duration
96 hrs 51 mins
Rating
About Course
The Graduate Aptitude Test in Engineering, popularly known as GATE, is a national level examination conducted to test a candidate’s understanding of undergraduate subjects in Engineering and Technology. The Indian Institute of Science (IISc) and seven Indian Institutes of Technology (IITs at Bombay, Delhi, Guwahati, Kanpur, Kharagpur, Madras and Roorkee) jointly administer GATE for close to 10 lakh applicants every year. Engineering colleges (including premier colleges like the IITs and IISc) across the country accept the GATE score for admissions to post-graduate programs like M.E., M.Tech, etc. Based on the GATE score, some candidates would also be eligible to receive financial assistance from the Ministry of Human Resource Development and other Government Agencies. GATE scores are also being used by various Private and Public Sector Undertakings (PSUs) for employment screening purposes.
This course on GATE prep is designed to help you prepare comprehensively for GATE. This course is based on the latest syllabus and hence promises to keep you up-to-date with your GATE preparation.
The exam pattern for the engineering students will contain three main sections. Engineering Mathematics and General Aptitude each carrying around 15% of the total marks and the rest 70% includes questions on the subject of the paper (CS, Mech, Electrical etc.)
This course is designed for the students taking up Computer Science paper in GATE. You will get a detailed understanding of all the sections of the GATE which includes:
- Quantitative Aptitude
- Logical Reasoning
- Verbal Aptitude
- Engineering Mathematics
The first four sections being common to any engineering test taker, the final section will focus on the GATE Computer Science topics. The topics under discussion include:
- Digital Logic
- Computer Organization and Architecture
- Programming and Data Structures
- Theory of Computation
- Computer Networks
- Database Systems
- Operating Systems
- Web Technology
- Algorithms
- Software Engineering
- Compiler Design
Along with detailed explanation of the above topics, you will get complete access to topic wise and section wise tests. This course also comes equipped with 2 full-length GATE Computer Science Mock Tests to give you a complete preparation for this section of the GATE. Subscribe now and guarantee yourself good scores in GATE 2016.
Curriculum
Section 1 : Introduction to course
1.1
About GATE
02:08
Section 2 : General Aptitude: Introduction to section
2.1
Get over the Fear of General Aptitude
01:01
Section 3 : Quantitative Aptitude: Percentages
3.1
Concept of Percentages
08:44
3.2
Calculating Percentage of Decimal numbers
08:52
3.3
The Increase – Decrease Concept
06:00
Section 4 : Quantitative Aptitude: Averages
4.1
The Concept of Averages
07:01
4.2
Solved Problems
09:02
Section 5 : Quantitative Aptitude: Ratios
5.1
The Concept of Ratios
03:11
5.2
Solved Problems
02:22
Section 6 : Quantitative Aptitude: Equations
6.1
The Concept Of Equations
07:57
6.2
Solved Problems
12:13
Section 7 : Quantitative Aptitude: Permutation and Combination
7.1
The Concept of Permutation and Combination
11:46
7.2
Solved Problems
06:44
Section 8 : Quantitative Aptitude: Probability
8.1
The Concept of Probability
07:40
8.2
Solved Problems
04:53
Section 9 : Quantitative Aptitude: Geometry
9.1
The Concept of Geometry
18:43
9.2
Solved Problems
22:25
Section 10 : Quantitative Aptitude: Logarithms
10.1
The Concept of Logarithms
06:27
10.2
Solved Problems
02:12
Section 11 : Quantitative Aptitude: Patterns
11.1
How to tackle questions
08:43
11.2
Solved Problems
06:17
Section 12 : Quantitative Aptitude: Shortcut Strategies: Assumption
12.1
How Assumptions work
06:51
12.2
The Chocolate Method
07:21
12.3
Solved Problems
12:23
Section 13 : Quantitative Aptitude: Shortcut Strategies: Bottom Up
13.1
How Bottom up works
07:44
13.2
Solved Problems
10:50
Section 14 : Quantitative Aptitude: Shortcut Strategies: SpyCam
14.1
How SpyCam works
07:01
14.2
Solved Problems
08:28
Section 15 : Quantitative Aptitude: Assessment of Knowledge
15.1
Test
15:00
Section 16 : Logical Reasoning: Patterns: Series
16.1
The concept of series and solved problems
11:59
Section 17 : Logical Reasoning: Patterns: Coding and Decoding
17.1
The concept of coding and decoding
11:34
Section 18 : Logical Reasoning: Patterns: Analogy
18.1
The concept of Analogy and solved problems
06:43
Section 19 : Logical Reasoning: Patterns: Odd Man Out
19.1
The concept of odd man out and its problems
17:53
Section 20 : Logical Reasoning: Patterns: Visual Reasoning
20.1
The Concept of Visual reasoning
07:03
20.2
Solved Problems
16:34
Section 21 : Logical Reasoning: Patterns: Calenders
21.1
The concept of odd days
12:38
21.2
Solved problems
05:44
Section 22 : Logical Reasoning: Patterns: Clocks
22.1
The concept of clocks
04:14
22.2
Solved problems
07:30
Section 23 : Logical Reasoning: Arrangements: Data Arrangements
23.1
The concept of Data Arrangement
01:23
23.2
Solved Problems – Part 1
06:40
23.3
Solved Problems – Part 2
12:51
Section 24 : Logical Reasoning: Arrangements: Blood Relations
24.1
The Concept of Blood Relations and solved problems
08:09
Section 25 : Logical Reasoning: Arrangements: Direction Sense
25.1
The Concept of Direction sense and solved problems
07:46
Section 26 : Logical Reasoning: Arrangements: Cubes
26.1
The Concept of solving cubes
02:55
26.2
Types of Cube problems
08:43
26.3
Solved Problems
05:37
Section 27 : Logical Reasoning: Reasoning: Data Sufficiency
27.1
The Concept of data sufficiency
06:07
27.2
Solved Problems
10:27
Section 28 : Logical Reasoning: Reasoning: Venn Diagrams
28.1
The concept of Venn Diagrams and solved questions
12:02
Section 29 : Logical Reasoning: Reasoning: Syllogism
29.1
The concept of Syllogism
15:52
29.2
Solved Problems
11:04
Section 30 : Logical Reasoning: Assessment of Knowledge
30.1
Test
10:00
Section 31 : Verbal Aptitude: Pre-Assessment Test
31.1
Test
15:00
Section 32 : Verbal Aptitude: Reading Comprehension
32.1
Introduction to Reading Comprehension
16:50
32.2
RC passage-1: Question-1
10:35
32.3
RC passage-1: Question-2
02:47
32.4
RC passage-1: Question-3
01:35
32.5
RC passage-1: Question-4
02:16
32.6
RC passage-1: Question-5
03:14
32.7
RC passage-2: Question-1
07:13
32.8
RC passage-2: Question-2
01:05
32.9
RC passage-2: Question-3
01:56
32.10
RC passage-2: Question-4
01:39
Section 33 : Verbal Aptitude: Para-Jumbles
33.1
The concept of Para-Jumbles
13:04
33.2
Para-Jumbles: Question-1
03:49
33.3
Para-Jumbles: Question-2
00:53
33.4
Para-Jumbles: Question-3
02:25
Section 34 : Verbal Aptitude: Sentence Completion
34.1
The concept of Sentence Completion
19:25
34.2
Sentence Completion: Question-1
01:55
34.3
Sentence Completion: Question-2
01:28
34.4
Sentence Completion: Question-3
06:59
Section 35 : Verbal Aptitude: Sentence Correction
35.1
Introduction to Sentence Correction
02:17
35.2
Articles
12:04
35.3
Comparison Error
02:17
35.4
Determiners
03:13
35.5
Modifier Error
07:34
35.6
Parallelism Error
03:03
35.7
Prepositional Error
08:22
35.8
Pronoun Antecedent Agreement Error
05:14
35.9
Subject-Verb agreement Error
09:12
35.10
Verb-Time Sequence Error
02:19
35.11
Sentence Correction: Question-1
03:04
35.12
Sentence Correction: Question-2
01:27
35.13
Sentence Correction: Question-3
01:13
35.14
Sentence Correction: Question-4
00:52
35.15
Sentence Correction: Question-5
00:55
35.16
Sentence Correction: Question-6
01:29
35.17
Sentence Correction: Question-7
01:15
35.18
Sentence Correction: Question-8
01:19
35.19
Sentence Correction: Question-9
01:30
35.20
Sentence Correction: Question-10
02:04
35.21
Sentence Correction: Question-11
02:02
Section 36 : Verbal Aptitude: Analogy
36.1
Introduction to Analogy
14:31
36.2
Analogy: Question-1
01:26
36.3
Analogy: Question-2
01:24
36.4
Analogy: Question-3
00:59
36.5
Analogy: Question-4
00:57
36.6
Analogy: Question-5
00:36
36.7
Analogy: Question-6
01:26
36.8
Analogy: Question-7
01:13
36.9
Analogy: Question-8
03:10
36.10
Analogy: Question-9
01:58
36.11
Analogy: Question-10
01:53
36.12
Analogy: Question-11
02:06
36.13
Analogy: Question-12
02:35
36.14
Analogy: Question-13
00:44
36.15
Analogy: Question-14
02:29
36.16
Analogy: Question-15
00:49
36.17
Analogy: Question-16
01:44
36.18
Analogy: Question-17
01:24
36.19
Analogy: Question-18
01:04
36.20
Analogy: Question-19
03:29
Section 37 : Verbal Aptitude: Critical Reasoning
37.1
Critical Reasoning
03:12
37.2
Critical Reasoning: Question-1
03:25
37.3
Critical Reasoning: Question-2
01:01
37.4
Critical Reasoning: Question-3
01:58
Section 38 : Verbal Aptitude: Post Assesment Test
38.1
Test
15:00
Section 39 : Mock Aptitude Section
39.1
Mock Test
10:00
39.2
Mock Test Analysis: Problem 1
02:13
39.3
Mock Test Analysis: Problem 2
02:03
39.4
Mock Test Analysis: Problem 3
00:44
39.5
Mock Test Analysis: Problem 4
01:20
39.6
Mock Test Analysis: Problem 5
01:57
39.7
Mock Test Analysis: Problem 6
01:40
39.8
Mock Test Analysis: Problem 7
01:53
39.9
Mock Test Analysis: Problem 8
01:02
39.10
Mock Test Analysis: Problem 9
01:01
39.11
Mock Test Analysis: Problem 10
01:33
Section 40 : Engineering Mathematics Section
40.1
Introduction to Engineering Maths
01:34
Section 41 : Engineering Mathematics: Mathematical Logic
41.1
Concept of Mathematical Logic
57:40
41.2
Mathematical Logic – Test
10:00
Section 42 : Engineering Mathematics: Conditional Probability
42.1
Conditional Probability Concept
48:30
Section 43 : Engineering Mathematics: Probability
43.1
Concept of Probability
41:24
Section 44 : Engineering Mathematics: Mean, Median, Mode, SD
44.1
Mean, Median, Mode and Standard Deviation Concepts
17:16
Section 45 : Engineering Mathematics: Distributions
45.1
Distributions Concepts -1
01:31
45.2
Distributions Concepts -2
38:08
45.3
Distributions Concepts -3
32:28
45.4
Distributions Concepts -4
38:52
45.5
Probability and Distribution Test
10:00
Section 46 : Engineering Mathematics: Set Theory and Algebra
46.1
Set Theory & Algebra Concepts – 1
53:54
46.2
Set Theory & Algebra Concepts – 2
41:07
46.3
Set Theory & Algebra Concepts – 3
45:39
46.4
Set Theory Test
10:00
Section 47 : Engineering Mathematics: Combinatorics
47.1
Concept of Combinatorics – 1
01:01
47.2
Concept of Combinatorics – 2
33:06
47.3
Combinatorics Test
15:00
Section 48 : Engineering Mathematics: Graph Theory
48.1
Graph Theory Concepts – 1
46:39
48.2
Graph Theory Concepts – 2
22:20
Section 49 : Engineering Mathematics: Linear Algebra
49.1
Linear Algebra Concepts- 1
34:25
49.2
Linear Algebra Concepts- 2
28:37
49.3
Linear Algebra Concepts- 3
21:26
49.4
Linear Algebra Test
20:00
Section 50 : Engineering Mathematics: Numerical Methods
50.1
Numerical Methods – 1
23:12
50.2
Numerical Methods – 2
12:51
50.3
Numerical Methods – 3
38:43
50.4
Numerical Methods – 4
35:24
50.5
Numerical Methods Test
10:00
Section 51 : Engineering Mathematics: Calculus
51.1
Concepts in Calculus-1
02:14
51.2
Concepts in Calculus-2
29:50
51.3
Concepts in Calculus-3
44:20
51.4
Concepts in Calculus-4
45:45
51.5
Concepts in Calculus-5
20:46
51.6
Concepts in Calculus-6
55:46
51.7
Concepts in Calculus-7
34:20
51.8
Concepts in Calculus-8
26:03
51.9
Concepts in Calculus-9
09:42
51.10
Concepts in Calculus-10
32:32
51.11
Concepts in Calculus-11
07:29
51.12
Concepts in Calculus-12
18:15
51.13
Concepts in Calculus-13
18:19
51.14
Concepts in Calculus-14
06:38
51.15
Concepts in Calculus-15
03:32
51.16
Calculus Test
10:00
Section 52 : Engineering Mathematics: Differential Equations
52.1
Linear and Non-linear Differential Equation
36:36
52.2
Applications of Differential Equation
40:43
52.3
Cauchy-Eular Differential Equation
25:25
52.4
Higher Order Differential Equation
41:57
52.5
Initial and Boundary value problems
11:10
52.6
Partial Differential Equation(Lagrange’s Linear Equations)
29:45
52.7
Variation of Parameters and method of Undetermined Coeffeicients
40:51
52.8
Differential Equation Test
10:00
Section 53 : Engineering Mathematics: Transform Theory
53.1
Fourier Transform
56:21
53.2
Laplace Transform
32:35
53.3
Laplace Transform : Solved Problems
22:44
53.4
Z Transform
03:25
53.5
Transform Theory Test
10:00
Section 54 : Engineering Mathematics: Complex Variables
54.1
Concept of Complex Variable
12:15
Section 55 : Computer Science Concepts
55.1
Introduction to Section
00:54
Section 56 : Computer Science Concepts: Digital Logic Introduction
56.1
Introduction To Digital Logic
01:36
56.2
Test-1
10:00
Section 57 : Computer Science Concepts: Electronic Gate Logic
57.1
Electronic Gate
20:53
57.2
Switching Algebra
32:41
Section 58 : Computer Science Concepts: Canonical Forms
58.1
Canonical Forms
24:44
58.2
Karnaugh Maps
41:32
Section 59 : Computer Science Concepts: Understanding Karnaugh Maps
59.1
Examples Of Karnaugh Maps
44:26
59.2
Test-2
15:00
Section 60 : Computer Science Concepts: Logic Circuits Explained
60.1
Combinational Logic Circuits
01:07
Section 61 : Computer Science Concepts: Looking Into Code Converters
61.1
Code Converters
48:55
61.2
Test-3
10:00
Section 62 : Computer Science Concepts: Number Representation
62.1
Number Representation
45:41
Section 63 : Computer Science Concepts: Introduction To Computer Organization And Architecture
63.1
Computer Organization And Architecture
04:29
63.2
Functional Units of Computer
07:19
63.3
Test-4
05:00
63.5
Instruction Set Architecture And Addressing Modes
13:58
63.6
ALU And Datapath
09:22
63.7
Control Units
20:10
63.8
Test-5
05:00
Section 64 : Computer Science Concepts: Computer Memory
64.1
The Memory System
35:54
64.2
Test-6
10:00
64.3
Virtual Memory
19:44
64.4
Test-7
10:00
Section 65 : Computer Science Concepts: Memory Access Techniques
65.1
Input/Output Organization
21:40
65.2
Direct Memory Access
22:07
65.3
Test-8
15:00
Section 66 : Computer Science Concepts: Pipelining
66.1
Pipelining
19:12
66.2
Test-9
15:00
66.3
Secondary Storage
17:40
66.4
Test-10
15:00
Section 67 : Computer Science Concepts: Data Structures Introduction
67.1
Data Structures In C
42:43
67.2
Pointers
07:53
67.3
Test-11
15:00
Section 68 : Computer Science Concepts: Datastructures Explained
68.1
Datastructures
53:42
68.2
Test-12
10:00
Section 69 : Computer Science Concepts: Stacks
69.1
Stacks
50:15
69.2
Test-13
10:00
Section 70 : Computer Science Concepts: Queues
70.1
Queues
41:47
70.2
Test-14
15:00
Section 71 : Computer Science Concepts: Theory Of Computation
71.1
Theory Of Computations
05:02
71.2
Finite Automata
08:25
71.3
Regular Expression
35:11
71.4
Test-15
10:00
Section 72 : Computer Science Concepts: Computation Techniques
72.1
DFA- Minimizing Techniques
11:02
72.2
NFA-Non deterministic Finite Automata
17:52
72.3
Moore And Mealy Machines
09:32
72.4
Family Of Languages
20:54
72.5
Test-16
10:00
72.6
Test-17
10:00
Section 73 : Computer Science Concepts: More on Computation Techniques
73.1
CFG Simplification
17:16
73.2
Push Down Automata
13:57
73.3
Chomsky Hierarchy
13:27
73.4
Test-18
10:00
Section 74 : Computer Science Concepts: Turing Machines
74.1
Turing Machines
23:46
74.2
Pumping Lemma
09:16
74.3
Test-19
15:00
Section 75 : Computer Science Concepts: Compilers And More
75.1
Compiler Design
13:13
75.2
Lexical Anaylsis
22:45
75.3
Ambiguous Grammar
11:08
75.4
Test-20
15:00
Section 76 : Computer Science Concepts: Parsing Techniques
76.1
Left Recursion And Left Factoring
08:07
76.2
Parser
04:30
76.3
LL(1) Parser
08:46
76.4
Test-21
10:00
Section 77 : Computer Science Concepts: LR Parser
77.1
LR Parser
24:04
77.2
Test-22
10:00
Section 78 : Computer Science Concepts: SLR Parser
78.1
SLR Parse Table
57:06
78.2
Test-23
10:00
Section 79 : Computer Science Concepts: CLR(1) And LALR(1)
79.1
CLR(1) And LALR(1)
36:21
79.2
Test-24
10:00
Section 80 : Computer Science Concepts: Translation
80.1
Syntax Directed Translation
43:15
80.2
Test-25
10:00
Section 81 : Computer Science Concepts: Computer Environment
81.1
Runtime Environment
14:25
81.2
Intermediate And Target Code Generation
11:20
81.3
Test-26
15:00
Section 82 : Computer Science Concepts: Code Optimization
82.1
Code Optimization
13:03
82.2
Control Flow Graphs
15:47
82.3
Peephole Optimization
03:49
Section 83 : Computer Science Concepts: The Application Layer
83.1
Application Layer
15:50
83.2
TCP/IP
29:34
Section 84 : Computer Science Concepts: DNS And Email
84.1
Domain Name System
24:28
84.2
Email
26:25
Section 85 : Computer Science Concepts: Web Technologies
85.1
FTP
14:48
85.2
WEB
39:48
Section 86 : Computer Science Concepts: Database Systems
86.1
Introduction To Database Systems
43:20
86.2
Test-27
15:00
Section 87 : Computer Science Concepts: Database Models
87.1
Relational Models
52:47
Section 88 : Computer Science Concepts: RDBMS
88.1
Relational Database System
58:14
Section 89 : Computer Science Concepts: Database Concepts Explained
89.1
Database Concepts-1
10:39
Section 90 : Computer Science Concepts: More Database Concepts
90.1
Database Concepts-2
32:05
Section 91 : Computer Science Concepts: Introduction To Operating Systems
Section 92 : Computer Science Concepts: Operating Systems Concepts Explained
92.1
Operating Systems Concepts-1
38:29
Section 93 : Computer Science Concepts: More Operating Systems Concepts
93.1
Operating Systems Concepts-2
00:37
Section 94 : Computer Science Concepts: Scheduling Concepts Explained
94.1
Scheduling Concepts-1
00:12
Section 95 : Computer Science Concepts: More Scheduling Concepts
95.1
Scheduling Concepts-2
35:32
Section 96 : Computer Science Concepts: Deadlocks
96.1
Deadlocks
08:51
Section 97 : Computer Science Concepts: Memory
97.1
Memory Management
09:49
Section 98 : Computer Science Concepts: Segmentation
98.1
Segmentation
41:45
Section 99 : Computer Science Concepts: Client-Server
99.1
Client-Server Model
06:10
99.2
Basics Of HTML And CSS
23:59
99.3
XML
11:02
Section 100 : Computer Science Concepts: Web Technology
100.1
Test-28
20:00
Section 101 : Computer Science Concepts: Introduction To Algorithms
101.1
Algorithms Basics
21:58
Section 102 : Computer Science Concepts: Types Of Algorithms
102.1
Worst And Average Cases
29:26
102.2
Master Theorem
12:20
102.3
Divide And Conquer
17:55
102.4
Test-30
10:00
Section 103 : Computer Science Concepts: Algorithm Designs
103.1
Algorithm Design-Greedy Approach-1
20:55
103.2
Algorithm Design-Greedy Approach-2
18:08
Section 104 : Computer Science Concepts: Dynamic Programming
104.1
Dynamic Programming-1
28:56
104.2
Dynamic Programming-2
31:26
Section 105 : Computer Science Concepts: Back Tracking
105.1
Back Tracking
27:24
105.2
Graph Traversals
26:47
105.3
Test-31
10:00
Section 106 : Computer Science Concepts: Sorting
106.1
Sorting
49:52
Section 107 : Computer Science Concepts: Sorting Techniques
107.1
Divide And Conquer Sorting Techniques
34:58
Section 108 : Computer Science Concepts: More Sorting Techniques
108.1
Heap Sort And Radix Sort
32:56
108.2
Test-32
15:00
Section 109 : Computer Science Concepts: Hashing
109.1
Hashing
31:26
109.2
Complexity Classes
09:46
109.3
Test-33
10:00
Section 110 : Computer Science Concepts: Software Engineering
110.1
Software Engineering
36:08
110.2
Test-34
20:00
Section 111 : Mock Test-1
111.1
Mock Test: part-1
20:00
Section 112 : Mock Test-2
112.1
MockTest: part-2
25:00
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