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ENGINEERING CHEMISTRY - Dr. Shuchita Agrawal
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B.E. / B.TECH. All Branches Material and Video Lectures
Data Mining
Data Mining
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Introduction To Data Warehousing, Needs For Developing Data Warehouse
2
Data Warehouse Systems And Its Components
3
Design Of Data Warehouse
4
Dimension And Measures
5
Data Marts:-Dependent Data Marts, Independents Data Marts & Distributed Data Marts
6
Conceptual Modeling Of Data
Warehouses
7
Star Schema, Snowflake Schema
8
Fact Constellations
9
Multidimensional Data Model
10
Aggregates
11
OLAP, Characteristics Of OLAP System
12
Motivation For Using OLAP
13
Multidimensional View And Data Cube
14
Data Cube Implementations
15
Data Cube Operations, Queries
16
Guidelines For OLAP Implementation
17
Difference Between OLAP & OLTP
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18
Olap Servers:- Rolap
19
Multidimensional OLAP
20
Hybrid OLAP
21
Introduction To Data Mining, Knowledge Discovery
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22
Data Mining Functionalities
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23
Data Mining System Categorization And Its Issues
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24
Data Processing :- Data Cleaning
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25
Data Integration And Transformation
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26
Data Reduction
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27
Data Mining Statistics
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28
Guidelines For Successful Data Mining
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29
Association Rule Mining:-Introduction, Basic The Task And A Naïve Algorithm
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30
Apriori Algorithms, Improving The Efficiency Of The Apriori Algorithm
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31
Apriori-Tid, Direct Hasing And Pruning(DHP)
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32
Dynamic Itemset Counting (Dic)
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33
Mining Frequent Patterns Without Candidate Generation(FP-Growth)
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34
Performance Evaluation Of Algorithms
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35
Classification:-Introduction, Decision Tree, The Tree Induction Algorithm
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36
Split Algorithms Based On Information Theory, Split Algorithm Based On The Gini Index
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37
Overfitting And Pruning,K Means Algorithm
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38
Decision Trees Rules, Naïve Bayes Method
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39
Cluster Analysis:- Introduction, Desired Features Of Cluster Analysis
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40
Types Of Cluster Analysis Methods:- Partitional Methods, Hierarchical Methods
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41
Density- Based Methods, Dealing With Large Databases
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42
Quality And Validity Of Cluster Analysis Methods
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Advanced Computer Network
Advanced Computer Network
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Topic 1 Review of networking
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2
Topic 2 Review of O.S.
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3
Topic 3 ISO OSI Model
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4
Topic 4 Function of Different Layers
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5
Topic 5 Transport layer
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6
Topic 6 Presentation Layer
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7
Topic 7 Types Of Network
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8
Link OF PDF 1
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9
Link OF PDF 2
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10
Tooic1 TCP/ IP Model
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11
Topic 2 IP Packet Format
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12
Topic 3 Protocol Layers
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13
Link OF PDF 1
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14
Link OF PDF 2
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15
Link OF PDF 1
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16
Link OF PDF 2
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17
Link OF PDF 1
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18
Link OF PDF 2
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19
Tooic1 Introduction to Wireless Communication Part 1
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20
Topic 2 MAC Layer
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21
Topic 3 Wireless LAN
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22
Topic 4 Transport Layer
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23
Topic 5 CDMA
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24
Link OF PDF 1
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25
Link OF PDF 2
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Cloud Computing
Cloud Computing
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Introduction and History development of Cloud Computing
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2
Vision and characteristics of Cloud Computing
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3
Cloud computing reference model ,Cloud computing environments
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4
Cloud services requirements, Cloud and dynamic infrastructure
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5
Cloud applications
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6
Types of Clouds
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7
Cloud Interoperability & Standards, Scalability and Fault Tolerance
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8
Cloud Ecosystem, Cloud Business Process Management
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9
Cloud Service Management, Cloud Analytics
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10
Testing Under Control, Virtual Desktop Infrastructure
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11
Resiliency, Provisioning, Asset management
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12
Concepts of Map reduce , Cloud Governance, High Availability and Disaster Recovery
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13
Compute concept, Storage and networking virtualization
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14
Desktop and Application virtualization, Server virtualization
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15
Block and file level storage virtualization, Hyper management software
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16
Cloud security services
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17
Cloud Computing Design principles and Policy implementation
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18
Cloud Computing Security Challenges
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19
Computing Security Architecture
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20
Market Based Management of Clouds(MOCC)
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21
Federated cloud
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22
Third Party cloud Services
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23
Google App Engine
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24
Microsoft Azure
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25
Hadoop Part1
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26
Hadoop Part2
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27
Amazon
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28
Aneka
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Refrigeration & Air Conditioning - Mechnical, By: Er. Amar Mishra
Refrigeration & Air Conditioning - Mechnical, By: Er. Amar Mishra
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Psychometric -Calculation of psychometric properties of air
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2
Psychometric -Sensible cooling and, sensible heat
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3
Psychometric -Sensible heat factor
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4
Psychometric -Conditioning, requirements of comfort air conditioning
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5
Psychometric -Human comfort, effective temperature & chart
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6
Air conditioning loads -Calculation of summer & winter air conditioning load
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8
Air conditioning loads -Bypass
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9
-Factor Of Coil
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10
Air conditioning loads -Room sensible heat factor
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11
Air conditioning loads -Grand Sensible Heat Factor
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12
Air conditioning loads -Effective sensible heat factor
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13
Air conditioning loads -Calculation of summer & winter air conditioning load
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Advanced Machine Design - Mechanical, By:- Er. Kritika Thakur
Advanced Machine Design - Mechanical, By:- Er. Kritika Thakur
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Limit Design Analysis -Design Stress method
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2
Limit Design Analysis -Mechanical properties under design stress method
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3
Limit Design Analysis -Design of unsymmetrical sections
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4
Limit Design Analysis -Part subjected to unsymmetrical bending
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5
Limit Design Analysis -Elastic action in tension test
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6
Strain Gauge -Strain gauge and gauge factor
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7
Strain Gauge -Strain gauge rosette
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8
Strain Gauge -Rectangular strain gauge rosette
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9
Strain Gauge -Numerical based on gauge rosette
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10
Strain Gauge -Modes of failures
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11
Strain Gauge -Modes of failures
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12
Strain Gauge -Photoelasticity
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13
Strain Gauge -Stress optic law
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14
Limit Design Analysis -4th UNIT NOTES IN PDF
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15
Limit Design Analysis -4th UNIT NOTES IN PDF
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16
Limit Design Analysis -4th UNIT NOTES IN PDF
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17
Strain Gauge Rosette -5th UNIT NOTES IN PDF
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18
Modes of mechanical failures -5th UNIT NOTES IN PDF
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19
Strain Gauge Rosette -5th UNIT NOTES IN PDF
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20
Strain Gauge & Gauge factor -5th UNIT NOTES IN PDF
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Machine Learning By. Er. Nandkishor Kurmi
Machine Learning By. Er. Nandkishor Kurmi
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Introduction to machine learning
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2
Applications of machine learning ,scope and limitations
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3
Machine learning life cycles
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4
Probability and addition law of probability
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5
Regression analysis and its types
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6
Linear regression
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7
Logistic regression
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8
Polynomial regression
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9
Support vector machine regression
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10
Decision tree regression
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11
Data visualization, hypothesis function and testing,
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12
data preprocessing, data distributions
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13
data augmentation, normalizing data sets
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14
machine learning v/s AI,
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15
Supervised machine learning ,types and ADVANTAGES
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16
Unsupervised machine learning,types,advantages and disadvantage
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17
16
Difference between supervised and unsupervised machine learning
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18
Linearity vs non linearity,
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19
activation functions
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20
linear function
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21
Sigmoid function
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22
ReLU
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23
weights and bias, loss function, gradient descent, multilayer network,backpropagation, weight initialization,
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24
pooling layer, loss layer, dance layer 1x1convolution,
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25
inception network, input channels, transfer learning, one shot
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26
learning, dimension reductions,
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27
Convolutional neural network,
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28
flattening, subsampling, padding, stride,
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29
convolution layer
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30
Supervised v/s unsupervised ml
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31
Neural network
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32
Recurrent neural network,
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33
gated recurrent unit,
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34
beam search and width,
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35
NOTE : 1) LAB MANUAL FOR MACHINE LEARNING
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36
2) SOFT COPY OF UNIT - 4 NOTES
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37
3) SOFT COPY OF UNIT -5 NOTES
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38
4) SOFT COPY OF UNIT -3 NOTES
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39
Reinforcement Learning,
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40
RL-framework,Bellman equations
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41
Long short-term memory part_1
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42
Long short-term memory part_2
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43
MDP
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44
Q Learning
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45
Support Vector Machines,
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46
Nonlinear Support Vector Machine
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47
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48
Bayesian learning,
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49
Example of bayes theorem
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50
Case Study: ImageNet Competition
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application of machine learning .
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51
Supervised machine learning
52
5) SOFT COPY OF UNIT -2 NOTES
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53
6) SOFT COPY OF UNIT -1 NOTES
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Computer Graphics & Multimedia
Computer Graphics & Multimedia
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Introduction to Raster Scan displays
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2
Pixels, Frame buffer, Vector & Character generation
3
Random Scan systems, Display devices
4
Scan Conversion techniques
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5
Line Drawing: simple DDA, Bresenham’s Algorithm
6
Circle Drawing Algorithms: Midpoint Circle drawing and Bresenham’s Algorithm
7
Polygon fill algorithm: Boundary-fill and Flood-fill algorithms
8
2-D Transformation: Translation, Rotation, Scaling
9
Shearing, Reflection. Inverse Transformation
10
Homogenous coordinate system,
11
Matrices Transformation, Composite Transformation
12
Windowing & Clipping: World Coordinate System
13
Screen Coordinate System, Viewing Transformation
14
Line Clipping & Polygon Clipping Algorithms
15
3-D Transformations: Translation, Rotation and Scaling
16
Parallel & Perspective Projection: Types of Parallel & Perspective Projection
17
Hidden Surface elimination: Depth comparison
18
Back face detection algorithm
19
Painter’s Algorithm, Z-Buffer Algorithm. Curve generation
20
Bezier and Bspline methods. Basic Illumination Model: Diffuse reflection
21
Specular reflection, Phong Shading, Gouraud shading, Ray Tracing,
22
Color models like RGB, YIQ, CMY, HSV
23
Visualization: Multimedia Visualization of 2D/3D scalar fields: color mapping, ISO surfaces
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24
Direct volume data rendering: ray-casting, transfer functions, segmentation
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25
Visualization of Vector fields and flow data
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26
Time-varying data, High-dimensional data: dimension reduction
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27
Parallel coordinates, Non-spatial data: multi-variate, tree/graph structured
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28
Text Perceptual and cognitive foundations
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29
Evaluation of visualization methods, Applications of visualization
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30
Basic Animation Techniques like traditional, key framing
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31
Multimedia :Basic of multimedia, application of Multimedia, Text-
Types
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32
Unicode Standard ,text Compression, Text file formats
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33
Audio Components, Digital Audio, Digital Audio processing, Sound cards, Audio file formats ,Audio Processing software
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34
Video-Video color spaces, Digital Video, Digital Video processing, Video file formats
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35
Animation: Uses of Animation, Principles of Animation, Computer based animation, 3D Animation,
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36
Animation file formats, Animation software,Special Effects in animation, Storyboarding for Animation
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37
Compression: Lossless/Lossy Compression techniques, Image, Audio & Video Compression
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38
MPEG Standards ,Multimedia Architecture, Multimedia databases.
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Project Management By. Er. Monali Sahoo
Project Management By. Er. Monali Sahoo
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Iterative process planning
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2
Project organisations and responsibilities
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3
management indicators
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4
Quality indicators
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5
life cycle expections.
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6
Process discriminants.
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7
Evolution of software economics. Improving software economics: reducing product size,
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8
software processes, team effectiveness, automation through software environments. Principles of
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9
modern software management.
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10
Framework,: Life cycle phases- inception, elaboration, construction and training phase. Artifacts
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11
Unit 3 Notes :
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12
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13
Unit 2 Notes :
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14
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15
Unit 1 Notes :
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16
Unit 1 :
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17
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18
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19
Unit 2 :
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Thermal Engineering & Gas Dynamics - Mechnical, By: Er. Amar Mishra
Thermal Engineering & Gas Dynamics - Mechnical, By: Er. Amar Mishra
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Nozzles and Condensers -Steam condensers,
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2
Nozzles and Condensers -types of condensers
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3
Nozzles and Condensers -Surface condensers
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4
Nozzles and Condensers -Working of Rotary compressor
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5
Nozzles and Condensers -various types of cooling towers
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6
Nozzles and Condensers -Steam Nozzle
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7
Nozzles and Condensers -Condition for maximum discharge
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8
Nozzles and Condensers -Flow of steam through nozzles
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Robotics - Mechanical, By:- Er. Kritika Thakur
Robotics - Mechanical, By:- Er. Kritika Thakur
1
Robot Programming -Robot Programming Langauge
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2
Robot Programming -Classification of Robot Langauges
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3
Ropbot Programming -Online programming methods
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4
Robot Programming -Operation functions in robot programmings
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5
Economics & Effectiveness of robot -Economics of Effectiveness of robot
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6
Economics & Effectiveness of robot -Investment & operational costs
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7
Economics & Effectiveness of robot -Concepts of testing in robot
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8
Economics & Effectiveness of robot -Work cycle time analysis MTM
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9
Economics & Effectiveness -Work cycle time analysis RTM
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Software Engineering By Er. Monali Sahoo
Software Engineering By Er. Monali Sahoo
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Software Static and Dynamic analysis
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2
Code inspections
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3
Software Testing, Fundamentals
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4
Testing Levels,
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5
Test Criteria, Test Case Design
6
Black-Box Testing
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7
White-Box Unit Testing
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8
Advantages & disadvantages of white box testing
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9
Unit Testing Frameworks
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10
Integration Testing
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11
System Testing and other Specialized
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12
Test Plan
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13
Test Metrics
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14
Testing Tools
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15
Object-oriented analysis
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16
Object-oriented design and comparison
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17
Need and Types of Maintenance
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18
Software Configuration Management (SCM), Software Change Management,
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19
Re-engineering, Reverse Engineering
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20
Project Management Concepts, Feasilibility Analysis
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21
Resources Allocations, Software efforts, Schedule
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22
Cost estimations
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23
Project Scheduling and Tracking
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24
Risk Assessment and Mitigation, Software Quality Assurance(SQA)
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25
Project Plan, Project Metrics.
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pan style='mso-spacerun:yes'>
26
LAB FILE
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27
UNIT1
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28
UNIT2
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29
UNIT3
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30
UNIT4
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31
UNIT5
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32
IMPORTANT QUESTIONS
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Manufacturing Technology - Mechanical, By:- Er. Kritika Thakur
Manufacturing Technology - Mechanical, By:- Er. Kritika Thakur
S.NO
TOPIC
Notes Link
YOUTUBE LINK
1
Unconventional Machining Process -Ultrasonic machining
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2
Unconventional Machining Process -Electrochemical machining
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3
Unconventional Machining Process -Electric discharge machining
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4
Unconventional Machining Process -Plasma arc machining
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5
Unconventional Machining Process -Electron beam machining
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6
Extrusion Process -Extrusion process
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7
Extrusion Process -Hot & Cold extrusion
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8
Extrusion Process -Tube drawing
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9
Extrusion Process -NC machining
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10
Extrusion Process -NC coordinate systems
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11
Extrusion Process -Part program
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12
Extrusion Process -NC Vs CNC
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13
Unit 5 Complete Notes
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22
Topic
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