Jonathan Kao

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Class Most Helpful Review
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CLASSES

EC ENGR 102
Systems and Signals See Full Profile

Overall 4.9 Easiness 2.4 Workload 2.5 Clarity 4.7 Helpfulness 4.9

Most Helpful Review

He really cares about how well students understand the material but when it comes to grades, he's not helpful, his weekly hws are long but easy and doable and it can really help your grade, for me the midterm was extremely hard which I failed it, but he announced in the class that back then when he took this class he failed his midterm and his professor gave him a second chance by replacing the final's grade for midterm and that's what he did for me, even though I aced the final and it got replaced with my midterm, my grade was so close to next letter grade but he didn't curve the class at all, so my advice just do the hws and try your best to get A on final because there is absolutely no curve and final basically determines your grade

(Fall Quarter 2019)
EC ENGR C143A
Neural Signal Processing See Full Profile

Overall 5.0 Easiness 3.3 Workload 3.3 Clarity 5.0 Helpfulness 5.0

Most Helpful Review

Kao is one of the best professors at this school. He is clear, engaging, informative, and an incredibly supportive teacher. Would highly recommend both Kao and this class, and would easily choose to take this class again.
If you've had 102 with Kao, his style of teaching for this class is very similar. He posts unannotated slides before lecture, annotates them during lecture, and reposts them to CCLE afterwards. His unannotated slides contain information and videos, but most of the derivations and math he does by hand on blank slides. He uses polls to monitor class comprehension, and frequently stops to ask for and take questions. He uses piazza to allow students to answer each others questions, but both Kao and the TA's are present to resolve ongoing confusion.
The neuroscience and probability homeworks were written, while the decoding and classification were jupyter notebooks. They walk you through complex concepts in small increments, and are interesting and fun to work through (and great for learning python!).
Brain machine interfaces were one of the first things that drew my attention to electrical engineering, and I found it incredibly interesting to take a class in exactly that. If you have the opportunity, I would highly recommend taking this class.

(Spring Quarter 2020)
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EC ENGR 189
Advanced Honors Seminars Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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EC ENGR 189
Advanced Honors Seminars See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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EC ENGR 239AS
Special Topics in Signals and Systems: Neural Networks and Deep Learning See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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EC ENGR 239AS
Special Topics in Signals and Systems: Neural Networks and Deep Learning See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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EC ENGR C243A
Neural Signal Processing Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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EC ENGR C243A
Neural Signal Processing See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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EC ENGR 299
MS Project Seminar Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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EC ENGR 299
MS Project Seminar See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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