Computer Science and Engineering (Subtitle Pack for 160 Video Courses)

Computer Science and Engineering (160 Video Courses)

1. Natural Language Processing
2. Design and Analysis of Algorithms
3. Software Engineering
4. Computational Geometry
5. Logic for CS
6. Computer Architecture (Prof. Anshul Kumar)
7. Data Structures And Algorithms
8. Introduction to Computer Graphics
9. Principles of Programming Languages
10. Parallel Computing
11. Design Verification and Test of Digital VLSI Circuits
12. Computer Algorithms - 2
13. Theory of Computation
14. Introduction to Problem Solving and Programming
15. Riemann Hypothesis and its Applications
16. Biometrics
17. Parallel Algorithm
18. Computer Architecture (Dr. Mainak Chaudhuri)
19. Compiler Design (Prof. Sanjeev K Aggarwal)
20. NOC:Introduction to Programming in C
21. Cryptography and Network Security
22. High Performance Computer Architecture
23. Low Power VLSI Circuits and Systems
24. Real Time Systems
25. Artificial Intelligence (Prof. S. Sarkar, Prof. Anupam Basu)
26. Artificial Intelligence (Prof.P. Dasgupta)
27. Computer Networks
28. Data Communication
29. Electronic Design Automation
30. Internet Technology
31. Programming and Data Structure
32. Pattern Recognition
33. Performance Evaluation of Computer Systems
34. Theory of Automata, Formal Languages and Computation
35. Computer Graphics
36. Computer Organization
37. Database Design
38. Discrete Mathematical Structures
39. Artificial Intelligence (Prof. Deepak Khemani)
40. NOC:Programming, Data Structures and Algorithms
41. NOC:Introduction to Information Security I
42. NOC:Programming and Data structures (PDS)
43. NOC:Design and Analysis of Algorithms
44. NOC:Programming, Data Structures and Algorithms (Aricent)
45. Combinatorics
46. Compiler Design (Prof. Y.N. Srikanth)
47. Graph Theory
48. High Performance Computing
49. Numerical Optimization
50. Storage Systems
51. System Analysis and Design
52. Principles of Compiler Design
53. NOC:Computer Architecture
54. NOC:Model Checking
55. NOC:Functional Programming in Haskell
56. NOC:Fundamentals of Database Systems
57. NOC:Information Security - II
58. NOC:Introduction to Machine Learning (Sponsored by Arihant)
59. NOC:Artificial Intelligence: Knowledge Representation and Reasoning
60. Virtual Reality
61. NOC:Complex Network : Theory and Application
62. NOC:Object-Oriented Analysis and Design
63. NOC:Introduction to Machine Learning
64. NOC:Programming in C++
65. NOC:Software Testing
66. NOC:Theory of Computation
67. NOC:Introduction to Cryptology
68. NOC:Modern Algebra
69. NOC:Privacy and Security in Online Social Networks
70. NOC:Programming, Data Structures and Algorithms in Python
71. NOC:Introduction to Operating Systems
72. NOC:Mobile Computing
73. NOC:Reinforcement Learning
74. NOC:Introduction to Modern Application Development
75. Fundamental Algorithms:Design and Analysis
76. NOC:AI:Constraint Satisfaction
77. NOC:Computer Architecture
78. NOC:Information Security-3
79. NOC:Wireless Ad Hoc and Sensor Networks
80. NOC:Natural Language Processing
81. NOC:VLSI Physical Design
82. NOC:Embedded Systems Design
83. NOC:InterNetwork Security
84. NOC:Computer Architecture and Organization
85. NOC:Introduction to Algorithms and Analysis
86. NOC:Hardware Modeling using Verilog
87. NOC:Introduction to Internet of Things
88. NOC:Cloud Computing
89. NOC:Software Testing
90. NOC:Computer Organization
91. NOC:Introduction to Wireless and Cellular Communications
92. NOC:Introduction to Parallel Programming in OpenMP
93. NOC:Distributed Systems
94. NOC:Social Networks
95. NOC:Real Time Operating System
96. NOC:An Introduction to Probability in Computing
97. NOC:Advanced Graph Theory
98. NOC:Introduction to Soft Computing
99. NOC:Data Mining
100. NOC:Data Base Management System
101. NOC:Introduction to Human Computer Interaction
102. NOC:Information Security - IV
103. NOC:Data Science for Engineers
104. NOC:Computer Organization and Architecture - A Pedagogical Aspect
105. NOC:Problem Solving through Programming in C
106. NOC:Synthesis of Digital Systems
107. NOC:Design and Pedagogy of the Introductory Programming Course
108. NOC:Embedded Systems-Design Verification and Test
109. NOC:Multi-Core Computer Architecture-Storage and Interconnects
110. NOC:Cloud Computing and Distributed Systems
111. NOC:Software Engineering
112. NOC:Computer Networks and Internet Protocol
113. NOC:Blockchain Architecture Design and Use Cases
114. NOC:Switching Circuits and Logic Design
115. NOC:Scalable Data Science
116. NOC:The Joy of Computing using Python
117. NOC:Discrete Mathematics
118. NOC:Deep Learning
119. NOC:Randomized Algorithms
120. NOC:Parallel Algorithms
121. NOC:Big Data Computing
122. NOC:Compiler Design
123. NOC:Programming in Java
124. NOC:Discrete Structures
125. NOC:Embedded System Design with ARM
126. NOC:Hardware Security
127. NOC:Introduction to Industry 4.0 and Industrial Internet of Things
128. NOC:Introduction to Automata, Languages and Computation
129. NOC:Foundations to Computer Systems Design
130. NOC:Machine Learning for Engineering and Science Applications
131. NOC:Information Security 5 - Secure Systems Engineering
132. NOC:Multimodal Interaction
133. NOC:Deep Learning - Part 2
134. NOC:Machine Learning, ML
135. NOC:An Introduction to Programming through C++
136. NOC:Demystifying Networking
137. NOC:Discrete Mathematics
138. NOC:Advanced Computer Architecture
139. NOC:Operating System Fundamentals
140. NOC:Deep Learning (2019)
141. NOC:Computer Vision
142. NOC:Ethical Hacking
143. NOC:Software Project Management
144. NOC:Spatial Innformatics
145. NOC:C Programming and Assembly Language
146. NOC:Applied Natural Language Processing
147. NOC:Python for Data Science
148. NOC:Practical Machine Learning with Tensorflow