Chapter 5: Introduction to Advanced Server-Side Issues – Exam Revision Notes
1. Introduction 2. Database Connectivity 3. Authentication 4. Cookies 5. File Handling 6. Form Handling 7. Key Takeaways
SEM-III
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Chapter 4: The Server Tier – Exam Revision Notes
1. Introduction 2. Web Server Concept 3. Creating Dynamic Content 4. Sessions and State 5. Error Handling 6. Architecting Web Applications 7. Tag Libraries 8. Writing Tag Libraries 9. Key Takeaways
Chapter 3: The Client Tier – Exam Revision Notes
1. Introduction 2. Representing Content 3. Introduction to XML 4. Elements and Attributes 5. Namespaces Syntax: <x:book xmlns:x=”http://www.example.com/book”> 6. XML Schema (XSD) 7. Document Type Definition (DTD) 8. XSL/XSLT 9. XPath Example: /bookstore/book/title 10. XQuery 11. Parsing XML 12. Key Takeaways
Chapter 2: Issues of Web Technology – Exam Revision Notes
1. Introduction 2. Architectural Issues of Web Layer Web applications are divided into tiers or layers for better management and performance: 2.1 Two-Tier Architecture 2.2 Three-Tier Architecture 2.3 N-Tier Architecture 3. Key Web Technology Issues 4. Tier Technology in Web Applications 5. Key Takeaways
Chapter 1: HTML and CSS – Exam Revision Notes
1. Introduction to HTML 1.1 HTML Document Structure Basic HTML page layout: <!DOCTYPE html> <html> <head> <title>Page Title</title> </head> <body> Content goes here </body> </html> 1.2 HTML Tags 2. Images & Imagemaps 3. HTML Tables 4. HTML Frames 5. HTML Forms 6. Introduction to CSS 6.1 CSS Properties 7. Key Takeaways
Chapter 7: Design of Experiment (DOE) – Exam Revision Notes
1. Introduction 2. Concept of Analysis of Variance (ANOVA) 3. Linear Model in ANOVA 4. Types of ANOVA 4.1 One-Way ANOVA 4.2 Two-Way ANOVA 5. Observations per Cell 6. Fixed Effect Model 7. Key Takeaways
Chapter 6: Sample Survey Methods – Exam Revision Notes
1. Types of Sampling Sampling methods are broadly classified into Probability Sampling and Non-Probability Sampling. 1.1 Probability Sampling a) Simple Random Sampling (SRS) b) Stratified Random Sampling c) Systematic Sampling d) Cluster Sampling e) Multistage Sampling f) Probability Proportional to Size (PPS) Sampling 1.2 Non-Probability Sampling 2. Estimation of Population Total 3. Sampling Distributions 4….
Chapter 5: Sample Survey – Exam Revision Notes
1. Concept of Population and Sample 2. Need for Sampling 3. Census vs Sample Survey Aspect Census Sample Survey Population covered Entire Subset Cost High Low Time Longer Shorter Accuracy Very high Reasonably high Usage Small populations Large populations 4. Basic Concept of Sampling 5. Organizational Aspect of Sample Survey 6. Questionnaire Design 7. Sample…
Chapter 4: Probability – Exam Revision Notes
1. Definition of Probability Probability measures the likelihood of occurrence of an event. 2. Basic Laws of Probability 2.1 Addition Law P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) – P(A \cap B) P(A∪B)=P(A)+P(B)P(A \cup B) = P(A) + P(B) 2.2 Multiplication Law P(A∩B)=P(A)⋅P(B)P(A \cap B) = P(A) \cdot P(B) P(A∩B)=P(A)⋅P(B∣A)P(A \cap B) = P(A) \cdot…
Chapter 3: Correlation and Regression Analysis – Exam Revision Notes
1. Correlation Definition Correlation measures the strength and direction of the linear relationship between two quantitative variables. 1.1 Scatter Diagram 1.2 Karl Pearson’s Correlation Coefficient (rr) r=n∑XY−(∑X)(∑Y)[n∑X2−(∑X)2][n∑Y2−(∑Y)2]r = \frac{n \sum XY – (\sum X)(\sum Y)}{\sqrt{[n\sum X^2 – (\sum X)^2][n\sum Y^2 – (\sum Y)^2]}} Properties Interpretation r value Strength 0.0–0.3 Weak 0.3–0.7 Moderate 0.7–1.0 Strong 2….