Explain in detail Positive, negative and zero covariance with appropriate graphs.
Data Modeling & Visualization Question Papers - SPPU University
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INSEM Papers for Data Modeling & Visualization
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Data Modeling & Visualization Questions
Pre-rendered question cards from available structured metadata.
2025 Nov Dec ENDSEM
2025 Aug INSEM
2024 Sep INSEM
2023 Sep INSEM
2025 Nov Dec ENDSEM
2024 Nov Dec ENDSEM
2023 Nov Dec ENDSEM
INSEM
2025 Aug INSEM
12 Questions
Q1
15 Marks
Q1
·
b
·
5 Marks
Explain Central Limit Theorem with example.
Q1
·
c
·
5 Marks
Explain in Data Modeling Process.
Q2
15 Marks
Q2
·
a
·
5 Marks
Differentiate between Descriptive Statistics and Graphical Statistics.
Q2
·
b
·
5 Marks
Explain model historical data in details.
Q2
·
c
·
5 Marks
List discrete distributions and explain two discrete distributions.
Q3
15 Marks
Q3
·
a
·
5 Marks
Define Poisson process. Explain Poisson distribution with example.
Q3
·
b
·
5 Marks
Differentiate between Z-Test and T-Test.
Q3
·
c
·
5 Marks
Explain the Bayesian Network with example.
Q4
15 Marks
Q4
·
a
·
5 Marks
Explain Autoregressive Moving Average (ARMA) Processes.
Q4
·
b
·
5 Marks
Explain the Markov Model in Hidden States.
Q4
·
c
·
5 Marks
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'] |
INSEM
2024 Sep INSEM
12 Questions
Q1
15 Marks
Q1
·
a
·
5 Marks
Explain Covariance and Central Limit Theorem.
Q1
·
b
·
5 Marks
Differentiate between Discrete and Continuous random variables with the help of an example.
Q1
·
c
·
5 Marks
Define Independent Variable and explain types of Independent Variables with Example.
Q2
15 Marks
Q2
·
a
·
5 Marks
Explain Data Modelling Concepts with Example.
Q2
·
b
·
5 Marks
Explain Chebyshev inequality with the help of an example.
Q2
·
c
·
5 Marks
Define Descriptive Statistics and Graphical Statistics. Explain different Estimation Methods.
Q3
15 Marks
Q3
·
a
·
5 Marks
Explain Stochastic Processes with the help of an Example.
Q3
·
b
·
5 Marks
Calculate Pi Using Monte Carlo method.
Q3
·
c
·
5 Marks
Discuss type 1 and type 2 errors with an example.
Q4
15 Marks
Q4
·
a
·
5 Marks
Explain the steps of Hypothesis Testing.
Q4
·
b
·
5 Marks
Differentiate between T-Test , Z-Test and F-Test.
Q4
·
c
·
5 Marks
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'] |
INSEM
2023 Sep INSEM
12 Questions
Q1
15 Marks
Q1
·
a
·
5 Marks
Explain in detail Positive, negative and zero covariance with appropriate graphs.
Q1
·
b
·
5 Marks
Differentiate between Discrete and Continuous random variables with the help of an example.
Q1
·
c
·
5 Marks
Explain following discrete distributions : i) Geometric distribution ii) Binomial distribution
Q2
15 Marks
Q2
·
a
·
5 Marks
Define and explain maximum likelihood estimation.
Q2
·
b
·
5 Marks
Explain Chebyshev Inequality with the help of an example.
Q2
·
c
·
5 Marks
Define Descriptive Statistics and Graphical Statistics. Explain different Estimation Methods.
Q3
15 Marks
Q3
·
a
·
5 Marks
Define Poisson process. Poisson process is a suitable stochastic model in rare events. Justify?
Q3
·
b
·
5 Marks
Calculate Pi Using Monte Carlo method.
Q3
·
c
·
5 Marks
How does a queuing system work? What happens with a job when it goes through a queuing system?
Q4
15 Marks
Q4
·
a
·
5 Marks
Explain the steps of Hypothesis Testing.
Q4
·
b
·
5 Marks
Draw a neat diagram of Right-tail, Left-tail and Two sided Z-test and locate Acceptance and rejection regions.
Q4
·
c
·
5 Marks
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'] |
ENDSEM
2025 Nov Dec ENDSEM
20 Questions
Q1
18 Marks
Q1
·
a
·
6 Marks
What is Computational Statistics, and how does it relate to Data Visualization?
Q1
·
b
·
6 Marks
How do Presentation Graphics differ from Exploratory Graphics? Provide examples.
Q1
·
c
·
6 Marks
Discuss the role of Computing in Graphics and its impact on Data Visualization.
Q2
18 Marks
Q2
·
a
·
6 Marks
Explain the different Types of Data Visualization and their applications.
Q2
·
b
·
6 Marks
Write a short note on Statistical Historiography in data visualization.
Q2
·
c
·
6 Marks
What are some key Scientific Design Choices in Data Visualization, and why are they important?
Q3
17 Marks
Q3
·
a
·
6 Marks
Explain the differences between Combining and Merging Data Sets. When should each technique be used?
Q3
·
b
·
6 Marks
How does matplotlib compare to pandas and seaborn in terms of Data Visualization capabilities?
Q3
·
c
·
5 Marks
Describe the key steps involved in the process of data wrangling.
Q4
17 Marks
Q4
·
a
·
9 Marks
Describe the concept of Multidimensional Scaling and its role in Data Visualization.
Q4
·
b
·
8 Marks
What are Force-directed Techniques in Graph Layout, and how do they help in visualizing complex data structures?
Q5
18 Marks
Q5
·
a
·
9 Marks
Write a short note on i) Data Aggregation ii) Pivot Tables
Q5
·
b
·
9 Marks
Explain Cross Tabulation and its uses with suitable example.
Q6
18 Marks
Q6
·
a
·
9 Marks
What is the Group by mechanism in data aggregation, and how does it facilitate data analysis?
Q6
·
b
·
9 Marks
What are Moving Window Functions, and how are they useful in smoothing and analyzing time series data?
Q7
17 Marks
Q7
·
a
·
6 Marks
Discuss Data Reconstruction and its types in data modeling and visualization.
Q7
·
b
·
6 Marks
Discuss a case study where medical image visualization and database modeling played a crucial role in diagnosis or treatment.
Q7
·
c
·
5 Marks
Explain ultrasound images and its applications in data modeling and visualization.
Q8
17 Marks
Q8
·
a
·
8 Marks
Write a short note on i) PET Images ii) Magnetic Resonance Images
Q8
·
b
·
9 Marks
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'] |
ENDSEM
2024 Nov Dec ENDSEM
16 Questions
Q1
17 Marks
Q1
·
a
·
8 Marks
Explain in detail design choices in data visualization.
Q1
·
b
·
9 Marks
Explain data handling for data visualization.
Q2
17 Marks
Q2
·
a
·
8 Marks
Write a short note on Role of Computational Statistics in data visualization.
Q2
·
b
·
9 Marks
Explain the different types of Data visualization.
Q3
17 Marks
Q3
·
a
·
9 Marks
Explain the Force-directed Techniques and Multidimensional Scaling in detail.
Q3
·
b
·
8 Marks
Explain importance of reshaping and pivoting in data visualization.
Q4
17 Marks
Q4
·
a
·
8 Marks
Write a short note on Pulling Under Constraints Model.
Q4
·
b
·
9 Marks
Explain the process of data wrangling in detail.
Q5
18 Marks
Q5
·
a
·
9 Marks
Explain Data aggregation with suitable example.
Q5
·
b
·
9 Marks
Explain in detail cross tabulation 67 Time Series.
Q6
18 Marks
Q6
·
a
·
9 Marks
Explain Group by Mechanics techniques in data modeling and visualization.
Q6
·
b
·
9 Marks
Write a short note on. i) Pivot Tables ii) Periods and Periods Arithmetic
Q7
18 Marks
Q7
·
a
·
9 Marks
Explain PET Images and its applications in data modeling and visualization.
Q7
·
b
·
9 Marks
Explain the various data reconstruction techniques used to assist data modeling and visualization.
Q8
18 Marks
Q8
·
a
·
9 Marks
Write a short note on :- i) Ultrasound Images ii) Magnetic Resonance Images
Q8
·
b
·
9 Marks
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'] |
ENDSEM
2023 Nov Dec ENDSEM
21 Questions
Q1
18 Marks
Q1
·
a
·
10 Marks
Explain need of Graphics and computing in data visualization. How exploratory graphics is useful in visualization.
Q1
·
b
·
8 Marks
Write a short note on Statistical Historiography in data visualization.
Q2
18 Marks
Q2
·
a
·
10 Marks
Explain data handling in data modeling and visualization.
Q2
·
b
·
8 Marks
Explain the types of Data Visualization with suitable example.
Q3
17 Marks
Q3
·
a
·
7 Marks
Discuss various functions available in matplotlib.
Q3
·
b
·
6 Marks
Explain effective graph layout techniques in data visualization.
Q3
·
c
·
4 Marks
Differentiate Force-directed Techniques and Multidimensional Scaling.
Q4
17 Marks
Q4
·
a
·
7 Marks
Explain in detail force-directed techniques in multidimensional Scaling.
Q4
·
b
·
6 Marks
Explain Bipartite Graph and its applications.
Q4
·
c
·
4 Marks
Describe the key steps involved in the process of data wrangling.
Q5
18 Marks
Q5
·
a
·
8 Marks
Describe in detail data aggregation with its importance for group operations.
Q5
·
b
·
6 Marks
Explain Group by Mechanics technique in data modeling and visualization.
Q5
·
c
·
4 Marks
Explain the steps involved in Split Apply Combine strategy.
Q6
18 Marks
Q6
·
a
·
8 Marks
Explain Cross Tabulation and its uses with suitable example.
Q6
·
b
·
10 Marks
Write a short note on (Any Two) i) Data Aggregation ii) Pivot Tables iii) Periods and Periods Arithmetic
Q7
17 Marks
Q7
·
a
·
7 Marks
Discuss Data Reconstruction and its types in data modeling and visualization.
Q7
·
b
·
6 Marks
Explain ultrasound images and its applications in data modeling and visualization.
Q7
·
c
·
4 Marks
Explain Dbschema Pro Modeler in data modeling and visualization.
Q8
17 Marks
Q8
·
a
·
7 Marks
Write a short note on :- i) PET Images ii) Magnetic Resonance Images
Q8
·
b
·
6 Marks
Explain ER/Studio with its applications.
Q8
·
c
·
4 Marks
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'] |
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