Computer Science 189-1 - Spring 2022

Instructor Jonathan Shewchuk 152 respondents
Rate the overall teaching effectiveness of this instructor 5.9 / 7
How worthwhile was this course compared with others at U.C.? 5.5 / 7
Gives lectures that are well organized 4.6 / 5
Is enthusiastic about the subject matter 4.5 / 5
Identifies what he/she considers important 4.5 / 5
Has an interesting style of presentation 4.3 / 5
Uses visual aids and blackboards effectively 4.5 / 5
Encourages questions from students 4.4 / 5
Is careful and precise in answering questions 4.6 / 5
Relates to students as individuals 4.2 / 5
Is accessible to students outside of class 4.3 / 5
Is friendly and helpful to students during office hours 4.4 / 5
Gives interesting and stimulating assignments 4.0 / 5
Gives exams that permit students to show their understanding 3.6 / 5
Uses a grading system that is clearly defined and equitable 3.8 / 5
Required course material is sufficiently covered in lecture 4.0 / 5
Pace of the course is too fast 3.4 / 5
The required text/notes are beneficial 4.3 / 5
Workload is heavier than for courses of comparable credit 4.4 / 5
TA Anastasios Angelopoulos
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TA Kevin Li
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TA Allan Jabri
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TA Ishaan Srivastava
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TA Ben Hoberman
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TA Philippe Hansen-Estruch
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TA Anika Ramachandran
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TA Agnibho Roy
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TA Sean O'Brien 148 respondents
Rate the T.A.'s overall teaching effectiveness 5.0 / 5
Helpful in understanding course material 5.0 / 5
Is well prepared 5.0 / 5
Communicates ideas effectively 4.5 / 5
Appears to have a good knowledge of the subject matter 5.0 / 5
Answers questions accurately 4.5 / 5
Encourages questions and/or classroom discussion 5.0 / 5
Is aware when students are having difficulty 5.0 / 5
Is accessible during office hours 4.5 / 5
TA Sean Lin
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TA Ashwin Balakrishna
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TA Frank Liu
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TA Yongming Ge
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TA Rahul Kumar
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TA Joe Zou
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TA Justin Yu
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TA Gaurav Ghosal
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TA Ziye Ma
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TA Philip Jacobson
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TA Kumar Agrawal
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TA Oleksii Volkovskyi
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