Nathan Kenneth Haut (Instructor) - Grade Details
(with breakdown by course)
Nathan Kenneth Haut - All Courses
Average Grade - 3.521
Median Grade - 4.0
Latest grades from Spring 2025
Nathan Kenneth Haut - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| CMSE 202 | Average Grade - 3.556 Median Grade - 4.0 |
397 | Fall 2024 | |
| CMSE 401 | Average Grade - 3.625 Median Grade - 4.0 |
32 | Spring 2025 | |
| STT 180 | Average Grade - 3.448 Median Grade - 4.0 |
232 | Spring 2025 |
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CMSE 202 - Computational Modeling and Data Analysis II
Standard methods and tools for computational modeling and data analysis using simulation techniques, data mining, and machine learning.
Average Grade - 3.556
Median Grade - 4.0
Latest grades from Fall 2024
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CMSE 401 - Methods for Parallel Computing
Core principles, techniques, and use of parallel computation using modern supercomputers. Parallel architectures and programming models. Message-passing and threaded programming. Principles of parallel algorithm design. Performance analysis and optimization.
Average Grade - 3.625
Median Grade - 4.0
Latest grades from Spring 2025
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STT 180 - Introduction to Data Science
Pervasiveness and utility of data in modern society. Obtaining and managing data. Summarizing and visualizing data. Ethical issues in data science. Communication with data. Fundamentals of probability and statistics.
Average Grade - 3.448
Median Grade - 4.0
Latest grades from Spring 2025
See detailed grade info for this course