Midterm Exam Topics

Midterm Exam Topics#

Overview#

Our midterm exam format will be similar to any quiz you take in this course. It is a big quiz covering all the topics we’ve learned. You’ll have 1 hour and 50 minutes to complete the exam.

Important Note: You need to use your laptop or computer to finish the exam.

Topics Covered#

The midterm exam will include questions from the following topics:

  • Knowledge Discovery Process

  • Attribute Types: Nominal, Binary, Ordinal, Numeric, Discrete, Continuous

  • Statistics of Data:

    • Central Tendency: Mean, Median, Mode, Midrange

    • Dispersion of Data: Range, Quantiles, Quartiles, IQR, Five-number Summary, Variance, Standard Deviation

    • Covariance and Correlation

    • Graphic Displays: Quantile Plot, Q-Q Plot, Histograms, Scatter Plots

  • Data Transformation:

    • Normalization

    • Discretization

  • Data Compression:

    • Discrete Wavelet Transform (DWT)

    • Sampling

  • Similarity and Distance Measures:

    • Proximity Measures : Nominal, Binary, Numeric, Ordinal, Mixed Types

    • Cosine Similarity

    • Entropy & Cross Entropy

    • K-L Divergence

  • Analyzing Feature Relationships:

    • Covariance, Correlation Coefficient, Spearman’s Rank Correlation, Chi-Square Test