Sriram Sankararaman
Department of Computer Science
AD
4.3
Overall Rating
Based on 26 Users
Easiness 3.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 4.3 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 3.4 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 4.4 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

There are no relevant tags for this professor yet.

GRADE DISTRIBUTIONS
22.6%
18.8%
15.1%
11.3%
7.5%
3.8%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

26.1%
21.7%
17.4%
13.0%
8.7%
4.3%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

21.9%
18.2%
14.6%
10.9%
7.3%
3.6%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

26.7%
22.3%
17.8%
13.4%
8.9%
4.5%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

55.1%
45.9%
36.7%
27.5%
18.4%
9.2%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

25.6%
21.3%
17.1%
12.8%
8.5%
4.3%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

24.8%
20.7%
16.5%
12.4%
8.3%
4.1%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

ENROLLMENT DISTRIBUTIONS
Clear marks

Sorry, no enrollment data is available.

AD

Reviews (17)

1 of 2
1 of 2
Add your review...
Quarter: Winter 2021
Grade: A
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
March 29, 2021

Professor Sankararaman is an amazing lecturer, and he explains concepts in a clear and concise manner. For my quarter, there were eight quizzes in total (pretty much one per week), which was somewhat inconvenient. However, I learned a lot from this class, and it was overall a highly enjoyable experience. I would definitely recommend taking this class with this professor.

Helpful?

2 0 Please log in to provide feedback.
Quarter: Winter 2019
Grade: N/A
April 1, 2019

grades were curved down. homework 50%, midterm 20%, and final 30%. if ur exam scores on midterm and final are higher than the median, and did all the homework, u should secure a B+ at least. not a easy class if u have no prior knowledge in ML.

Helpful?

1 0 Please log in to provide feedback.
Quarter: Winter 2024
Grade: B-
Verified Reviewer This user is a verified UCLA student/alum.
April 12, 2024

This class is very theory and math/proof heavy, which I struggled with as a Data Engineering Minor. Long, long proofs in class for machine learning models, difficult to focus on. The homework assignments were some light math assignments, then Python coding. The midterm exam was easy, the final exam was the hardest exam of my entire life. If you need to take this class, this professor is a solid choice.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2024
Grade: A
Verified Reviewer This user is a verified UCLA student/alum.
March 31, 2024

Go to lectures, they're good. Go to OH, Prof. Sriram is a nice guy. Take the homeworks seriously and start early, they take less than 5 hours each on average and there are only 4. Pretty frustrated to see people ask for extensions when they aren't really needed. (We have 2 ! weeks per pset). Midterm median was pretty high (it was also way too easy) at 93. Final exam was harder (relatively speaking, but not hard in general. Pset level of difficulty for the questions) with median of 74.5. We could have been downcurved this quarter if the average was higher. For that reason, I thank the DSE minors who took this class.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2024
Grade: A
Verified Reviewer This user is a verified UCLA student/alum.
March 31, 2024

Sriram is one of the best professors I have had at UCLA. He genuinely cares about students' learning and answers any questions. There are 4 problem sets, which are kinda long and are each worth 10%, but if you start early/with others they're cash. Quizzes every 2 weeks, with the lowest one being dropped, and each worth 5% (4 counted quizzes), which are pretty easy most weeks but can be a bit tougher towards the end. Midterm and Final were both 20%, and the midterm was easy, with the final being tougher. Overall, a great CS class and elective, would highly recommend to anyone.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2024
Grade: A
Verified Reviewer This user is a verified UCLA student/alum.
March 29, 2024

If you want an easy A look no further

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2024
Grade: A
Verified Reviewer This user is a verified UCLA student/alum.
March 28, 2024

The instructor is the best one that I've ever had in UCLA.
There are 4 labs for 40% of your grades, 6 quizzes, the first one is math review is not count as graded one, from other 5 quizzes he will drop the lowest one and 4 remaining quizzes worth of 20% of your grade, and final and midterm both have each 20% of the grades.
Both exams are open books and open notes and both are in person.
He always use slides and they will posted before the class for students to use to take a note during the class.
Annotated slides also will be posted after each class.
He is caring, super organized, and clear on his explanation if you ask questions in his class you do not feel you are dumb, he is patient to go over the concepts and explain until students to understand.
I highly recommend to take the class with him if you want to really understand something about machine learning you should take this class with him.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2023
Grade: A+
Verified Reviewer This user is a verified UCLA student/alum.
April 5, 2023

Lectures are clear and slides are provided.

There are easy quizzes most weeks.
There are easy problem sets with coding sections.
The final was easy compared to the EC ENGR C147 midterm (took in same quarter).
C147 helps with M146 more than M146 helps with C147.
Machine learning topics aren't viewed from a big-picture perspective and aren't really related to each other from week to week.
Machine learning topics are pretty boring.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2023
Grade: A
April 2, 2023

Overall a great intro class to ML, a good prep course for C147

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2023
Grade: N/A
March 28, 2023

Didn't attend a single lecture but the class is popular and well-structured. The TAs are very knowledgeable and very quick in grading. ML concepts are boring though.

Helpful?

0 1 Please log in to provide feedback.
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Quarter: Winter 2021
Grade: A
March 29, 2021

Professor Sankararaman is an amazing lecturer, and he explains concepts in a clear and concise manner. For my quarter, there were eight quizzes in total (pretty much one per week), which was somewhat inconvenient. However, I learned a lot from this class, and it was overall a highly enjoyable experience. I would definitely recommend taking this class with this professor.

Helpful?

2 0 Please log in to provide feedback.
Quarter: Winter 2019
Grade: N/A
April 1, 2019

grades were curved down. homework 50%, midterm 20%, and final 30%. if ur exam scores on midterm and final are higher than the median, and did all the homework, u should secure a B+ at least. not a easy class if u have no prior knowledge in ML.

Helpful?

1 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2024
Grade: B-
April 12, 2024

This class is very theory and math/proof heavy, which I struggled with as a Data Engineering Minor. Long, long proofs in class for machine learning models, difficult to focus on. The homework assignments were some light math assignments, then Python coding. The midterm exam was easy, the final exam was the hardest exam of my entire life. If you need to take this class, this professor is a solid choice.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2024
Grade: A
March 31, 2024

Go to lectures, they're good. Go to OH, Prof. Sriram is a nice guy. Take the homeworks seriously and start early, they take less than 5 hours each on average and there are only 4. Pretty frustrated to see people ask for extensions when they aren't really needed. (We have 2 ! weeks per pset). Midterm median was pretty high (it was also way too easy) at 93. Final exam was harder (relatively speaking, but not hard in general. Pset level of difficulty for the questions) with median of 74.5. We could have been downcurved this quarter if the average was higher. For that reason, I thank the DSE minors who took this class.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2024
Grade: A
March 31, 2024

Sriram is one of the best professors I have had at UCLA. He genuinely cares about students' learning and answers any questions. There are 4 problem sets, which are kinda long and are each worth 10%, but if you start early/with others they're cash. Quizzes every 2 weeks, with the lowest one being dropped, and each worth 5% (4 counted quizzes), which are pretty easy most weeks but can be a bit tougher towards the end. Midterm and Final were both 20%, and the midterm was easy, with the final being tougher. Overall, a great CS class and elective, would highly recommend to anyone.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2024
Grade: A
March 29, 2024

If you want an easy A look no further

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2024
Grade: A
March 28, 2024

The instructor is the best one that I've ever had in UCLA.
There are 4 labs for 40% of your grades, 6 quizzes, the first one is math review is not count as graded one, from other 5 quizzes he will drop the lowest one and 4 remaining quizzes worth of 20% of your grade, and final and midterm both have each 20% of the grades.
Both exams are open books and open notes and both are in person.
He always use slides and they will posted before the class for students to use to take a note during the class.
Annotated slides also will be posted after each class.
He is caring, super organized, and clear on his explanation if you ask questions in his class you do not feel you are dumb, he is patient to go over the concepts and explain until students to understand.
I highly recommend to take the class with him if you want to really understand something about machine learning you should take this class with him.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2023
Grade: A+
April 5, 2023

Lectures are clear and slides are provided.

There are easy quizzes most weeks.
There are easy problem sets with coding sections.
The final was easy compared to the EC ENGR C147 midterm (took in same quarter).
C147 helps with M146 more than M146 helps with C147.
Machine learning topics aren't viewed from a big-picture perspective and aren't really related to each other from week to week.
Machine learning topics are pretty boring.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2023
Grade: A
April 2, 2023

Overall a great intro class to ML, a good prep course for C147

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2023
Grade: N/A
March 28, 2023

Didn't attend a single lecture but the class is popular and well-structured. The TAs are very knowledgeable and very quick in grading. ML concepts are boring though.

Helpful?

0 1 Please log in to provide feedback.
1 of 2
4.3
Overall Rating
Based on 26 Users
Easiness 3.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 4.3 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 3.4 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 4.4 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

There are no relevant tags for this professor yet.

ADS

Adblock Detected

Bruinwalk is an entirely Daily Bruin-run service brought to you for free. We hate annoying ads just as much as you do, but they help keep our lights on. We promise to keep our ads as relevant for you as possible, so please consider disabling your ad-blocking software while using this site.

Thank you for supporting us!