Alexander R Dickson (Instructor) - Grade Details
(with breakdown by course)
Alexander R Dickson - All Courses
Average Grade - 3.301
Median Grade - 4.0
Latest grades from Spring 2024
Alexander R Dickson - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown | ||
|---|---|---|---|---|---|---|
| BMB 101 | Average Grade - 3.010 Median Grade - 3.0 |
102 | Fall 2016 | |||
| CMSE 801 | Average Grade - 3.955 Median Grade - 4.0 |
11 | Fall 2016 | |||
| CMSE 201 | Average Grade - 3.285 Median Grade - 4.0 |
905 | Spring 2024 | |||
| NSC 801 | Average Grade - 3.694 Median Grade - 4.0 |
18 | Spring 2016 | |||
| BMB 805 | Average Grade - 3.505 Median Grade - 3.5 |
99 | Spring 2024 | |||
| BMB 961 | Average Grade - 3.958 Median Grade - 4.0 |
12 | Spring 2022 | |||
| BMB 803 | Average Grade - 3.500 Median Grade - 4.0 |
11 | Spring 2023 | |||
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BMB 101 - Frontiers in Biochemistry
Introduction to topics in biochemistry, career paths, professional development, and campus resources.
Average Grade - 3.010
Median Grade - 3.0
Latest grades from Fall 2016
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BMB 803 - Protein Structure and Function
Protein structure and relationship of function to structure. Applications of kinetic methods to elucidation of enzyme mechanisms and regulation. Offered first ten weeks of semester.
Average Grade - 3.500
Median Grade - 4.0
Latest grades from Spring 2023
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BMB 805 - Protein Structure, Design, and Mechanism
Protein architecture, dynamics, folding, stability, and evolution. Conformational changes, ligand binding, and kinetics. Elucidation of enzyme mechanisms.
Average Grade - 3.505
Median Grade - 3.5
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BMB 961 - Selected Topics in Biochemistry II
Selected topics in biochemistry with faculty lectures, laboratory, or other instruction.
Average Grade - 3.958
Median Grade - 4.0
Latest grades from Spring 2022
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CMSE 201 - Computational Modeling and Data Analysis I
Computational modeling using a wide variety of applications examples. Algorithmic thinking, dataset manipulation, model building, data visualization, and numerical methods all implemented as programs.
Average Grade - 3.285
Median Grade - 4.0
Latest grades from Spring 2024
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CMSE 801 - Introduction to Computational Modeling and Data Analysis
Introduction to computational modeling using a wide variety of application examples. Algorithmic thinking and model building, data visualization, numerical methods, all implemented as programs. Command line interfaces. Scientific software development techniques including modular programming, testing, and version control.
Average Grade - 3.955
Median Grade - 4.0
Latest grades from Fall 2016
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NSC 801 - Introduction to Computational Science
Basics of computational science using a wide variety of application examples. Algorithmic thinking and model building, programming fundamentals, data visualization, numerical methods.
Average Grade - 3.694
Median Grade - 4.0
Latest grades from Spring 2016
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