Professor record ECE
Ashwin Pananjady Martin
Georgia Institute of Technology-Main Campus
21 sections10 courses
Grades: 2021–2025Evaluations: 2021–2024
Flunk Score60/100
Strong
Courses taught
10 coursesLevel
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BMED 8813 Special Topics 1 section · Limited sample 3.00GPA
Published grade shares · 1 section · 1 term · Limited sample
Overall4.25 / 5
1 reported responses
Scale 1–5
Amount learned4.00
Instructor clarity4.00
Course effectiveness4.00
Instructor enthusiasm4.00
Instructor helpfulness5.00
Instructor availability4.00
Instructor communication4.00
Instructor effectiveness4.00
Instructor respectfulness4.00
Assignment measured knowledge3.00
Instructor stimulates interest5.00
CS 7750 Mathematical Foundations of Machine Learning 6 reported responses 4.64Eval / 5
Overall4.64 / 5
6 reported responses
Scale 1–5
Amount learned3.80
Instructor clarity4.80
Course effectiveness4.30
Instructor enthusiasm4.80
Instructor helpfulness3.90
Instructor availability4.70
Instructor communication4.80
Instructor effectiveness4.80
Instructor respectfulness4.50
Assignment measured knowledge3.80
Instructor stimulates interest4.80
CSE 6740 Computational Data Analysis: Learning, Mining, and Computation 1 section · Limited sample 3.81GPA
Published grade shares · 1 section · 1 term · Limited sample
Overall4.33 / 5
16 reported responses
Scale 1–5
Amount learned3.80
Instructor clarity4.00
Course effectiveness4.30
Instructor enthusiasm4.70
Instructor helpfulness3.80
Instructor availability4.60
Instructor communication4.60
Instructor effectiveness4.20
Instructor respectfulness4.70
Assignment measured knowledge4.00
Instructor stimulates interest4.00
CSE 7750 Mathematical Foundations of Machine Learning 1 section · Limited sample 3.89GPA
Published grade shares · 1 section · 1 term · Limited sample
Overall3.88 / 5
6 reported responses
Scale 1–5
Amount learned3.80
Instructor clarity3.30
Course effectiveness3.50
Instructor enthusiasm4.20
Instructor helpfulness4.00
Instructor availability4.00
Instructor communication4.00
Instructor effectiveness3.50
Instructor respectfulness4.20
Assignment measured knowledge2.50
Instructor stimulates interest3.80
ECE 7750 Mathematical Foundations of Machine Learning 5 sections 3.68GPA
Published grade shares · 5 sections · 1 term
Overall4.62 / 5
5 reported responses
Scale 1–5
Amount learned4.06
Instructor clarity4.38
Course effectiveness3.98
Instructor enthusiasm4.65
Instructor helpfulness4.65
Instructor availability4.42
Instructor communication4.78
Instructor effectiveness4.70
Instructor respectfulness4.63
Assignment measured knowledge3.58
Instructor stimulates interest4.72
ECE 8803 Special Topics 3 sections 3.85GPA
Published grade shares · 3 sections · 3 terms
Overall4.86 / 5
15 reported responses
Scale 1–5
Amount learned4.80
Instructor clarity4.86
Course effectiveness4.86
Instructor enthusiasm4.96
Instructor helpfulness4.57
Instructor availability4.92
Instructor communication4.86
Instructor effectiveness5.00
Instructor respectfulness4.92
Assignment measured knowledge4.63
Instructor stimulates interest4.80
ISYE 4699 Undergraduate Research 3 sections 4.00GPA
Published grade shares · 3 sections · 3 terms
ISYE 4803 Special Topics 3 sections 3.61GPA
Published grade shares · 3 sections · 3 terms
Overall4.95 / 5
10 reported responses
Scale 1–5
Amount learned4.63
Instructor clarity4.89
Course effectiveness4.89
Instructor enthusiasm5.00
Instructor helpfulness4.89
Instructor availability4.92
Instructor communication4.97
Instructor effectiveness4.97
Instructor respectfulness4.97
Assignment measured knowledge4.13
Instructor stimulates interest4.97
ISYE 6740 Computational Data Analysis: Learning, Mining, and Computation 2 sections 3.92GPA
Published grade shares · 2 sections · 1 term
Overall4.83 / 5
36 reported responses
Scale 1–5
Amount learned4.30
Instructor clarity4.80
Course effectiveness4.80
Instructor enthusiasm4.90
Instructor helpfulness4.70
Instructor availability4.90
Instructor communication4.80
Instructor effectiveness4.80
Instructor respectfulness4.90
Assignment measured knowledge4.40
Instructor stimulates interest4.80
ISYE 7750 Mathematical Foundations of Machine Learning 2 sections 3.95GPA
Published grade shares · 2 sections · 1 term
Overall4.17 / 5
18 reported responses
Scale 1–5
Amount learned3.60
Instructor clarity3.80
Course effectiveness4.30
Instructor enthusiasm4.50
Instructor helpfulness4.20
Instructor availability3.90
Instructor communication4.50
Instructor effectiveness4.20
Instructor respectfulness4.30
Assignment measured knowledge3.40
Instructor stimulates interest4.00
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