Paul R Eggert
Department of Computer Science
AD
3.1
Overall Rating
Based on 73 Users
Easiness 1.6 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 3.2 / 5 How clear the professor is, 1 being extremely unclear and 5 being very clear.
Workload 1.7 / 5 How light the workload is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 3.3 / 5 How helpful the professor is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Tough Tests
  • Needs Textbook
  • Engaging Lectures
  • Useful Textbooks
  • Tolerates Tardiness
  • Appropriately Priced Materials

GRADE DISTRIBUTIONS

20.7%
17.2%
13.8%
10.3%
6.9%
3.4%
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.

23.0%
19.1%
15.3%
11.5%
7.7%
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.

27.5%
22.9%
18.3%
13.7%
9.2%
4.6%
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.

27.3%
22.7%
18.2%
13.6%
9.1%
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.

20.0%
16.7%
13.3%
10.0%
6.7%
3.3%
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.

19.5%
16.3%
13.0%
9.8%
6.5%
3.3%
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.

19.6%
16.3%
13.0%
9.8%
6.5%
3.3%
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.

25.0%
20.8%
16.7%
12.5%
8.3%
4.2%
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.

25.5%
21.2%
17.0%
12.7%
8.5%
4.2%
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.

20.7%
17.3%
13.8%
10.4%
6.9%
3.5%
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.

22.7%
18.9%
15.1%
11.3%
7.6%
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.

22.3%
18.6%
14.9%
11.2%
7.4%
3.7%
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.

23.0%
19.1%
15.3%
11.5%
7.7%
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.

23.6%
19.7%
15.7%
11.8%
7.9%
3.9%
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.

19.7%
16.4%
13.1%
9.8%
6.6%
3.3%
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.

22.4%
18.7%
14.9%
11.2%
7.5%
3.7%
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.

29.0%
24.2%
19.4%
14.5%
9.7%
4.8%
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.

29.3%
24.4%
19.5%
14.7%
9.8%
4.9%
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.

29.5%
24.6%
19.7%
14.7%
9.8%
4.9%
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.

31.3%
26.0%
20.8%
15.6%
10.4%
5.2%
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.

24.3%
20.3%
16.2%
12.2%
8.1%
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.

25.4%
21.2%
16.9%
12.7%
8.5%
4.2%
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.

30.0%
25.0%
20.0%
15.0%
10.0%
5.0%
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.

35.7%
29.8%
23.8%
17.9%
11.9%
6.0%
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.

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Reviews (56)

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2 of 6
Add your review...
Quarter: Fall 2019
Grade: N/A
Dec. 5, 2019

Eggert, as a lecturer, is very enthusiastic and knowledgable. I can tell he is super passionate about computer science and knows a ton. However, the workload and rigor of this class is TOO MUCH. I can barely catch a break while I was in this class. The professor's lectures were all over the place, with no clear direction and random concepts thrown in as a mush. I still do not understand many of the concepts of the class. Eggert's exams were impossible to study for, as he just puts whatever he wants. Overall, I applaud him for being a good lecturer, but the course needs to be organized better.

Helpful?

2 0 Please log in to provide feedback.
Quarter: Spring 2020
Grade: I
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
May 28, 2020

I think I learned a lot from this course, but at the expense of my mental health unfortunately. The lectures are a bit all over the place in terms of organization, and it is sometimes difficult to know what are the essential concepts to take away from a lesson are. I do appreciate the professor's enthusiasm and extensive domain knowledge on the subject, and his little tidbits and asides kept the lectures from being dull. He is also really good at addressing questions that are brought up during lecture and is approachable in that regard. Overall, the lectures were very informational, but not very digestible. Sometimes the "bigger picture" was lost in the focus on minute details.

The homework/projects, on the other hand, are an utter mess. I wish I was being hyperbolic. The assignments are written in a way that almost seems like they are intentionally trying to be confusing and frustrating for students. I quickly learned that there is very little point in starting the homework before discussion section because it is simply not worth my time to decipher (and probably misinterpret) the assignment. Luckily, the TAs are great in filling the gaps in this respect, but their absolute necessity to make any meaningful progress on the assignments is very telling of their quality. Keeping updated on every Piazza post is a must to not lose points on arbitrary requirements that were mentioned vaguely, if at all in the assignment. For example, the Scheme parsing assignment is nearly impossible to complete by just reading the very open-ended specifications -- you almost have to code against the already additional sample test cases provided by the TAs to have a chance to do well or spend hours writing code to handle edge cases at random. This was especially frustrating because new test cases would be updated multiple times throughout the assignment period, though I am at least thankful they existed to make up for the shortcomings of the specification.

The stress of these assignments that many students complain about come from this dispiriting experience of programming based on assumptions that they are forced to make while waiting on TA's to confirm/deny via Piazza. It is sad to say that it is actually a viable strategy to wait for these Piazza clarification posts before starting the assignment. Overall, even though the assignments could be better formulated, I did feel like I learned a lot about the different programming styles by completing them. It's just a shame that my experience had to be this way, and although I think the TAs did a great job considering these circumstances, the course should be able to stand on its own.

Helpful?

4 1 Please log in to provide feedback.
Quarter: Fall 2020
Grade: A
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Dec. 29, 2020

It's hard. The midterm was already difficult, and then the final took it to another level. One of the questions could legitimately be a Scheme homework assignment. Generally speaking, there are three types of exam questions:

- Rote: Implementing a simple function, drawing syntax diagrams, etc. This is as close to free points as you're gonna get, so I try to do these first.
- Discussion: I save them for last since they're pretty easy to BS. On the flip side, the TA's will often have a random reason to dock points.
- Cool stuff: Occasionally there will be a question that is like a logic puzzle. The answer was not discussed in class exactly, but you can arrive at it with a solid understanding of the course material. Probably where people lose most points.

Overall, there is no difference between remote and non-remote Eggert exams; they're still timed and he still writes them the day before.

On the other hand, the homeworks are extremely fair. The spec contains a lot of test cases, and if you pass all of them you're almost certainly going to score perfectly. Not to mention the exponential decay penalty for late submission :chef_kiss:

Helpful?

1 0 Please log in to provide feedback.
Quarter: Spring 2019
Grade: B+
Oct. 7, 2020

Unpopular opinion: Eggert is one of the best professors at UCLA. His lectures are incredibly engaging and the subject material is interesting. You learn a lot about a bunch of things related to programming languages. This may have been the most interesting CS class I've taken here. There are also practical aspects through the projects. Maybe Prolog isn't that useful but you do a lot of functional programming and go over asynchronous programming and multi threading. These are all extremely useful. Projects range in difficulty. The OCaml project on parsing a grammer is impossible, I think I turned it in a week late. The Java project is okay but a little obnoxious. Every other project is straightforward and fun. I actually found the Lisp project the most fun (but I'm sure a lot of people won't). There's a paper due at the end of the class where you have to talk about a modern programming language. This paper is very easy and depending on how much effort you put into it you could maybe learn something that will help you. We had Kotlin as our language for our paper, which is nice because it can be used practically. The tests had a lot more coding than an average Eggert class. Our first midterm was 3/5s writing functional programs. These kind of tests are a lot more fair and the projects do help.

Don't get me wrong, this class is hard and you will have to put effort in it. But this is the best and fairest class I've taken from Eggert and one of the best Upper Divs at UCLA.

Helpful?

1 0 Please log in to provide feedback.
Quarter: Winter 2020
Grade: A
April 1, 2020

Ok so this is probably an unpopular opinion but I didn't find 131 to be as tough as people make it out to be. Yes it's still hard. Yes I still struggled. And I'm surprised I got an A (was honestly expecting a B+) so hear me out:

I took CS33 with him and that was an absolute madhouse so I was prepared for 131 to be so much worse but was surprised when it wasn't. I actually understood what he was talking about for like 70% of lectures and the stuff that I didn't get I would go online and read articles, watch YouTube, and go through the textbook to make sense of it. If you go into the class with the mindset of being ready to work hard, you will learn a lot in this class. The textbook was really helpful to read (it doesn't cover everything though) but it's a good way to gain a simple understanding of material if you have no idea what's happening.

The TAs are all super good and super active on piazza and also had hint code on github for us to refer to (tbh it wasn't that helpful after the first homework). Homeworks 2 and 5 (Scheme) were the hardest imo. It's difficult conceptually to wrap your head around let alone code yourself so be prepared to be super frustrated with these. Homeworks 3 and 6 were the easiest and took like 2 and 4 hours respectively. It's really important that you put in effort for the project report and HW6 because these are more conceptual and high level and are more than likely to be tested.

Also, I took 111 with Harry Xu before 131 and I think that helped me out a little bit because I had the analytical skills of weighing pros/cons that you do a lot in 111.

Tests are open notes like usual and our midterm average was like 70% which is ridiculously high for an Eggert test and most people thought that this midterm was easy. It definitely felt more straightforward and the questions weren't as convoluted as usual. The final was online because of the whole COVID-19 situation and the average was bout 65% which is again, super high but we had open internet access and 24 hours to do the test.

Helpful?

1 0 Please log in to provide feedback.
Quarter: Fall 2019
Grade: NR
Nov. 25, 2019

nothing new, homie Eggert, "interesting" exams, annoying specs, satisfying curves :|

Helpful?

1 0 Please log in to provide feedback.
Quarter: Fall 2019
Grade: N/A
Feb. 25, 2020

The projects are moderately hard. The midterm and final are ridiculously hard. Open book and open notes will help you little. If you want your effort to be paid off reasonably, avoid him at all costs.

Helpful?

2 1 Please log in to provide feedback.
Quarter: Fall 2017
Grade: A
Feb. 11, 2018

宝儿作为在职的软件工程师 讲他做喜欢的软件工程(不是计算机科学)
看得出来满腔热情
思路很快 得保持全神贯注
能学到很多

Helpful?

7 9 Please log in to provide feedback.
Quarter: Spring 2020
Grade: P
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
May 27, 2020

Honestly after taking 35L and 111 with Eggert I thought it couldn't get any worse but it does. This is hands down the most useless class I've ever been apart of. The amount of work involved with it is absolutely insane(much more than his 111 IMO), and his "late policy" is just his way of assigning more work than can be done in class.

For the Prolog section, he started going over the language the day the homework was due. Python project is due in less than 48 hours and he hasn't spoken about Python of TCP once haha. It's absolute madness. They need to rework this entire class. Remove one of the OCAML homeworks and maybe you could have a decent schedule.

Helpful?

2 2 Please log in to provide feedback.
Quarter: Winter 2021
Grade: C+
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
March 29, 2021

I made the mistake of not githubing anything in this class. I know the material really well did remarkably well in the homework (as in lost points only because I submitted late), but you need only look at my grade to see how that turned out.

Here's a few tips for the class if you're looking for a good grade:
1) Don't try. Really. Just github all the projects. You'll need the high grades on homework since everyone else is githubbing too and they'll have perfect scores.
2) BS on the exam. You may know how to code well on all the languages and understand the concepts, it won't matter. You need to write as much as you can using words that pop up in lecture. Don't paraphrase.
3) If you're taking exams online, cheat as much as you can. They won't be able to tell as there is no way to tell.
Do yourself a favor, do what CS35L really tried hard to teach you to do: Copy, steal and lie.

If on the other hand you actually want to learn something in this crap class do all the projects yourself, read the textbook and try to understand by digging deeper into every concept.
You will learn a lot. I'm a better programmer because of this class. I'm a worse student however as my GPA says.
I am also a smarter human because of it too! I know now that you need to take advantage of everything you can regardless of whether it is fair or honest. I don't know if that was the lesson Professor Eggert was trying to give, or if he even cares enough to give any lesson.

I am bitter because of my results in this class, but at least I learned a lot.

Helpful?

1 1 Please log in to provide feedback.
Quarter: Fall 2019
Grade: N/A
Dec. 5, 2019

Eggert, as a lecturer, is very enthusiastic and knowledgable. I can tell he is super passionate about computer science and knows a ton. However, the workload and rigor of this class is TOO MUCH. I can barely catch a break while I was in this class. The professor's lectures were all over the place, with no clear direction and random concepts thrown in as a mush. I still do not understand many of the concepts of the class. Eggert's exams were impossible to study for, as he just puts whatever he wants. Overall, I applaud him for being a good lecturer, but the course needs to be organized better.

Helpful?

2 0 Please log in to provide feedback.
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Quarter: Spring 2020
Grade: I
May 28, 2020

I think I learned a lot from this course, but at the expense of my mental health unfortunately. The lectures are a bit all over the place in terms of organization, and it is sometimes difficult to know what are the essential concepts to take away from a lesson are. I do appreciate the professor's enthusiasm and extensive domain knowledge on the subject, and his little tidbits and asides kept the lectures from being dull. He is also really good at addressing questions that are brought up during lecture and is approachable in that regard. Overall, the lectures were very informational, but not very digestible. Sometimes the "bigger picture" was lost in the focus on minute details.

The homework/projects, on the other hand, are an utter mess. I wish I was being hyperbolic. The assignments are written in a way that almost seems like they are intentionally trying to be confusing and frustrating for students. I quickly learned that there is very little point in starting the homework before discussion section because it is simply not worth my time to decipher (and probably misinterpret) the assignment. Luckily, the TAs are great in filling the gaps in this respect, but their absolute necessity to make any meaningful progress on the assignments is very telling of their quality. Keeping updated on every Piazza post is a must to not lose points on arbitrary requirements that were mentioned vaguely, if at all in the assignment. For example, the Scheme parsing assignment is nearly impossible to complete by just reading the very open-ended specifications -- you almost have to code against the already additional sample test cases provided by the TAs to have a chance to do well or spend hours writing code to handle edge cases at random. This was especially frustrating because new test cases would be updated multiple times throughout the assignment period, though I am at least thankful they existed to make up for the shortcomings of the specification.

The stress of these assignments that many students complain about come from this dispiriting experience of programming based on assumptions that they are forced to make while waiting on TA's to confirm/deny via Piazza. It is sad to say that it is actually a viable strategy to wait for these Piazza clarification posts before starting the assignment. Overall, even though the assignments could be better formulated, I did feel like I learned a lot about the different programming styles by completing them. It's just a shame that my experience had to be this way, and although I think the TAs did a great job considering these circumstances, the course should be able to stand on its own.

Helpful?

4 1 Please log in to provide feedback.
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Quarter: Fall 2020
Grade: A
Dec. 29, 2020

It's hard. The midterm was already difficult, and then the final took it to another level. One of the questions could legitimately be a Scheme homework assignment. Generally speaking, there are three types of exam questions:

- Rote: Implementing a simple function, drawing syntax diagrams, etc. This is as close to free points as you're gonna get, so I try to do these first.
- Discussion: I save them for last since they're pretty easy to BS. On the flip side, the TA's will often have a random reason to dock points.
- Cool stuff: Occasionally there will be a question that is like a logic puzzle. The answer was not discussed in class exactly, but you can arrive at it with a solid understanding of the course material. Probably where people lose most points.

Overall, there is no difference between remote and non-remote Eggert exams; they're still timed and he still writes them the day before.

On the other hand, the homeworks are extremely fair. The spec contains a lot of test cases, and if you pass all of them you're almost certainly going to score perfectly. Not to mention the exponential decay penalty for late submission :chef_kiss:

Helpful?

1 0 Please log in to provide feedback.
Quarter: Spring 2019
Grade: B+
Oct. 7, 2020

Unpopular opinion: Eggert is one of the best professors at UCLA. His lectures are incredibly engaging and the subject material is interesting. You learn a lot about a bunch of things related to programming languages. This may have been the most interesting CS class I've taken here. There are also practical aspects through the projects. Maybe Prolog isn't that useful but you do a lot of functional programming and go over asynchronous programming and multi threading. These are all extremely useful. Projects range in difficulty. The OCaml project on parsing a grammer is impossible, I think I turned it in a week late. The Java project is okay but a little obnoxious. Every other project is straightforward and fun. I actually found the Lisp project the most fun (but I'm sure a lot of people won't). There's a paper due at the end of the class where you have to talk about a modern programming language. This paper is very easy and depending on how much effort you put into it you could maybe learn something that will help you. We had Kotlin as our language for our paper, which is nice because it can be used practically. The tests had a lot more coding than an average Eggert class. Our first midterm was 3/5s writing functional programs. These kind of tests are a lot more fair and the projects do help.

Don't get me wrong, this class is hard and you will have to put effort in it. But this is the best and fairest class I've taken from Eggert and one of the best Upper Divs at UCLA.

Helpful?

1 0 Please log in to provide feedback.
Quarter: Winter 2020
Grade: A
April 1, 2020

Ok so this is probably an unpopular opinion but I didn't find 131 to be as tough as people make it out to be. Yes it's still hard. Yes I still struggled. And I'm surprised I got an A (was honestly expecting a B+) so hear me out:

I took CS33 with him and that was an absolute madhouse so I was prepared for 131 to be so much worse but was surprised when it wasn't. I actually understood what he was talking about for like 70% of lectures and the stuff that I didn't get I would go online and read articles, watch YouTube, and go through the textbook to make sense of it. If you go into the class with the mindset of being ready to work hard, you will learn a lot in this class. The textbook was really helpful to read (it doesn't cover everything though) but it's a good way to gain a simple understanding of material if you have no idea what's happening.

The TAs are all super good and super active on piazza and also had hint code on github for us to refer to (tbh it wasn't that helpful after the first homework). Homeworks 2 and 5 (Scheme) were the hardest imo. It's difficult conceptually to wrap your head around let alone code yourself so be prepared to be super frustrated with these. Homeworks 3 and 6 were the easiest and took like 2 and 4 hours respectively. It's really important that you put in effort for the project report and HW6 because these are more conceptual and high level and are more than likely to be tested.

Also, I took 111 with Harry Xu before 131 and I think that helped me out a little bit because I had the analytical skills of weighing pros/cons that you do a lot in 111.

Tests are open notes like usual and our midterm average was like 70% which is ridiculously high for an Eggert test and most people thought that this midterm was easy. It definitely felt more straightforward and the questions weren't as convoluted as usual. The final was online because of the whole COVID-19 situation and the average was bout 65% which is again, super high but we had open internet access and 24 hours to do the test.

Helpful?

1 0 Please log in to provide feedback.
Quarter: Fall 2019
Grade: NR
Nov. 25, 2019

nothing new, homie Eggert, "interesting" exams, annoying specs, satisfying curves :|

Helpful?

1 0 Please log in to provide feedback.
Quarter: Fall 2019
Grade: N/A
Feb. 25, 2020

The projects are moderately hard. The midterm and final are ridiculously hard. Open book and open notes will help you little. If you want your effort to be paid off reasonably, avoid him at all costs.

Helpful?

2 1 Please log in to provide feedback.
Quarter: Fall 2017
Grade: A
Feb. 11, 2018

宝儿作为在职的软件工程师 讲他做喜欢的软件工程(不是计算机科学)
看得出来满腔热情
思路很快 得保持全神贯注
能学到很多

Helpful?

7 9 Please log in to provide feedback.
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Quarter: Spring 2020
Grade: P
May 27, 2020

Honestly after taking 35L and 111 with Eggert I thought it couldn't get any worse but it does. This is hands down the most useless class I've ever been apart of. The amount of work involved with it is absolutely insane(much more than his 111 IMO), and his "late policy" is just his way of assigning more work than can be done in class.

For the Prolog section, he started going over the language the day the homework was due. Python project is due in less than 48 hours and he hasn't spoken about Python of TCP once haha. It's absolute madness. They need to rework this entire class. Remove one of the OCAML homeworks and maybe you could have a decent schedule.

Helpful?

2 2 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: C+
March 29, 2021

I made the mistake of not githubing anything in this class. I know the material really well did remarkably well in the homework (as in lost points only because I submitted late), but you need only look at my grade to see how that turned out.

Here's a few tips for the class if you're looking for a good grade:
1) Don't try. Really. Just github all the projects. You'll need the high grades on homework since everyone else is githubbing too and they'll have perfect scores.
2) BS on the exam. You may know how to code well on all the languages and understand the concepts, it won't matter. You need to write as much as you can using words that pop up in lecture. Don't paraphrase.
3) If you're taking exams online, cheat as much as you can. They won't be able to tell as there is no way to tell.
Do yourself a favor, do what CS35L really tried hard to teach you to do: Copy, steal and lie.

If on the other hand you actually want to learn something in this crap class do all the projects yourself, read the textbook and try to understand by digging deeper into every concept.
You will learn a lot. I'm a better programmer because of this class. I'm a worse student however as my GPA says.
I am also a smarter human because of it too! I know now that you need to take advantage of everything you can regardless of whether it is fair or honest. I don't know if that was the lesson Professor Eggert was trying to give, or if he even cares enough to give any lesson.

I am bitter because of my results in this class, but at least I learned a lot.

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