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DATA ANALYSIS & MODELING TECHNIQUES, Fall 2024, Computer Science, The University of Texas at Arlington, United States

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CSE 5301: DATA ANALYSIS & MODELING TECHNIQUES

Fall 2024, Computer Science and Engineering Department, The University of Texas at Arlington

  • Lecturer: Negin Fraidouni, Ph.D
    • Department of Computer Science and Engineering
    • University of Texas at Arlington
    • fraidouni at uta dot edu
    • Office ERB 551
      • Tue, Thu 17:30-18:30 || by appointment
  • Graduate Teaching Assistant (GTA): Akshay Basavalingaiah
    • axb6287 at mavs dot uta dot edu

Expectation

Probbility and statistics

Study Materials

(Recommended)

  • Probability and Statistics for Computer Scientists 3rd Edition (Michael Baron)

  • The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling 1st Edition (Raj Jain)

  • Slide notes will be given

Grading

  • 1$^\text{st}$ Exam: 40%
  • 2$^\text{st}$ Exam: 40%
  • Homeworks: 20%
A B C D F
90-100% 80-89% 70-79% 60-69% 0-60%

For Exams

  • Allowed to bring both a scientific calculator and an A4 size paper containing all formulas you need.
    • The paper could be written on the front and back

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DATA ANALYSIS & MODELING TECHNIQUES, Fall 2024, Computer Science, The University of Texas at Arlington, United States

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