Explain in detail Positive, negative and zero covariance with appropriate graphs.
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Explain in detail Positive, negative and zero covariance with appropriate graphs.
Explain Central Limit Theorem with example.
Explain in Data Modeling Process.
Differentiate between Descriptive Statistics and Graphical Statistics.
Explain model historical data in details.
List discrete distributions and explain two discrete distributions.
Define Poisson process. Explain Poisson distribution with example.
Differentiate between Z-Test and T-Test.
Explain the Bayesian Network with example.
Explain Autoregressive Moving Average (ARMA) Processes.
Explain the Markov Model in Hidden States.
Explanation of the Queuing system an illustration of Little's Law with a neat graph.
| Subject Name | Data Modeling & Visualization |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417522 |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | [6580]-694 |
| Academic Year | B.E. |
| Branch Name | AI & DS |
| Exam Type | INSEM |
| Exam Session | 2025 Aug INSEM |
| Watermark | ['CEGP013091', '49.248.216.237 20/08/2025 13:30:48 static-237'] |
Explain Covariance and Central Limit Theorem.
Differentiate between Discrete and Continuous random variables with the help of an example.
Define Independent Variable and explain types of Independent Variables with Example.
Explain Data Modelling Concepts with Example.
Explain Chebyshev inequality with the help of an example.
Define Descriptive Statistics and Graphical Statistics. Explain different Estimation Methods.
Explain Stochastic Processes with the help of an Example.
Calculate Pi Using Monte Carlo method.
Discuss type 1 and type 2 errors with an example.
Explain the steps of Hypothesis Testing.
Differentiate between T-Test , Z-Test and F-Test.
Explain Transition State Diagram and Emission State Diagram of Hidden Markov Model with the help of example.
| Subject Name | Data Modeling & Visualization |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417522 |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | [6361]-189 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence and Data Science |
| Exam Type | INSEM |
| Exam Session | 2024 Sep INSEM |
| Watermark | ['CEGP013091', '49.248.216.238 02/09/2024 13:31:38 static-238'] |
Explain in detail Positive, negative and zero covariance with appropriate graphs.
Differentiate between Discrete and Continuous random variables with the help of an example.
Explain following discrete distributions : i) Geometric distribution ii) Binomial distribution
Define and explain maximum likelihood estimation.
Explain Chebyshev Inequality with the help of an example.
Define Descriptive Statistics and Graphical Statistics. Explain different Estimation Methods.
Define Poisson process. Poisson process is a suitable stochastic model in rare events. Justify?
Calculate Pi Using Monte Carlo method.
How does a queuing system work? What happens with a job when it goes through a queuing system?
Explain the steps of Hypothesis Testing.
Draw a neat diagram of Right-tail, Left-tail and Two sided Z-test and locate Acceptance and rejection regions.
Explain Transition State Diagram and Emission State Diagram of Hidden Markov Model with the help of example.
| Subject Name | Data Modeling & Visualization |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417522 |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | [6188]-291 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence & Data Science |
| Exam Type | INSEM |
| Exam Session | 2023 Sep INSEM |
| Watermark | ['CEGP013091', '49.248.216.238 05/09/2023 13:53:25 static-238'] |
What is Computational Statistics, and how does it relate to Data Visualization?
How do Presentation Graphics differ from Exploratory Graphics? Provide examples.
Discuss the role of Computing in Graphics and its impact on Data Visualization.
Explain the different Types of Data Visualization and their applications.
Write a short note on Statistical Historiography in data visualization.
What are some key Scientific Design Choices in Data Visualization, and why are they important?
Explain the differences between Combining and Merging Data Sets. When should each technique be used?
How does matplotlib compare to pandas and seaborn in terms of Data Visualization capabilities?
Describe the key steps involved in the process of data wrangling.
Describe the concept of Multidimensional Scaling and its role in Data Visualization.
What are Force-directed Techniques in Graph Layout, and how do they help in visualizing complex data structures?
Write a short note on i) Data Aggregation ii) Pivot Tables
Explain Cross Tabulation and its uses with suitable example.
What is the Group by mechanism in data aggregation, and how does it facilitate data analysis?
What are Moving Window Functions, and how are they useful in smoothing and analyzing time series data?
Discuss Data Reconstruction and its types in data modeling and visualization.
Discuss a case study where medical image visualization and database modeling played a crucial role in diagnosis or treatment.
Explain ultrasound images and its applications in data modeling and visualization.
Write a short note on i) PET Images ii) Magnetic Resonance Images
How can tools like ER/Studio, Erwin Data Modeler, and DbSchema Pro aid in structuring and analyzing medical imaging data?
| Subject Name | Data Modeling & Visualization |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417522 |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6584]-384 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence & Data Science |
| Exam Type | ENDSEM |
| Exam Session | 2025 Nov Dec ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.237 15/12/2025 13:36:52 static-237'] |
Explain in detail design choices in data visualization.
Explain data handling for data visualization.
Write a short note on Role of Computational Statistics in data visualization.
Explain the different types of Data visualization.
Explain the Force-directed Techniques and Multidimensional Scaling in detail.
Explain importance of reshaping and pivoting in data visualization.
Write a short note on Pulling Under Constraints Model.
Explain the process of data wrangling in detail.
Explain Data aggregation with suitable example.
Explain in detail cross tabulation 67 Time Series.
Explain Group by Mechanics techniques in data modeling and visualization.
Write a short note on. i) Pivot Tables ii) Periods and Periods Arithmetic
Explain PET Images and its applications in data modeling and visualization.
Explain the various data reconstruction techniques used to assist data modeling and visualization.
Write a short note on :- i) Ultrasound Images ii) Magnetic Resonance Images
Explain ER/Studio with its applications.
| Subject Name | Data Modeling & Visualization |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417522 |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6354]-782 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence and Data Science |
| Exam Type | ENDSEM |
| Exam Session | 2024 Nov Dec ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.237 13/12/2024 13:45:38 static-237'] |
Explain need of Graphics and computing in data visualization. How exploratory graphics is useful in visualization.
Write a short note on Statistical Historiography in data visualization.
Explain data handling in data modeling and visualization.
Explain the types of Data Visualization with suitable example.
Discuss various functions available in matplotlib.
Explain effective graph layout techniques in data visualization.
Differentiate Force-directed Techniques and Multidimensional Scaling.
Explain in detail force-directed techniques in multidimensional Scaling.
Explain Bipartite Graph and its applications.
Describe the key steps involved in the process of data wrangling.
Describe in detail data aggregation with its importance for group operations.
Explain Group by Mechanics technique in data modeling and visualization.
Explain the steps involved in Split Apply Combine strategy.
Explain Cross Tabulation and its uses with suitable example.
Write a short note on (Any Two) i) Data Aggregation ii) Pivot Tables iii) Periods and Periods Arithmetic
Discuss Data Reconstruction and its types in data modeling and visualization.
Explain ultrasound images and its applications in data modeling and visualization.
Explain Dbschema Pro Modeler in data modeling and visualization.
Write a short note on :- i) PET Images ii) Magnetic Resonance Images
Explain ER/Studio with its applications.
Explain SQL Database Modeler in data modeling and visualization.
| Subject Name | Data Modeling & Visualization |
|---|---|
| Semester | VII |
| Pattern Year | 2019 |
| Subject Code | 417522 |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6181]-405 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence and Data Science |
| Exam Type | ENDSEM |
| Exam Session | 2023 Nov Dec ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.238 02/12/2023 13:45:33 static-238'] |