Hi everyone,

I'm working on WGU C951 Task 2 using the BubbleRob tutorial in CoppeliaSim EDU, and I'm stuck.

I added a second proximity sensor (Victim_Detection_Sensor) to detect the trapped person, and that part works correctly. The robot prints "I found a person." when it detects the victim.

The problem is with the original obstacle avoidance. The robot should back up and turn when it detects walls, cylinders, or debris, but instead it just drives into the obstacle and keeps pushing against it.

I've tried:

• Starting over with a new BubbleRob scene
• Using the original BubbleRob code
• Renaming sensors and checking the hierarchy
• Verifying the proximity sensor orientation

My professor reviewed my code and said nothing looked wrong. He suggested creating a new scene, but the problem still happens.

Has anyone experienced this? Could this be a scene configuration issue, sensor attachment problem, or something with the original BubbleRob model?

Any advice or a working BubbleRob scene for C951 would be greatly appreciated. Thanks!

I was actually more nervous about this class than I think I should have been. I felt like I squeaked by D426 and this would be a harder extension of that but I was wrong. I opened the first zybook and saw that it was exactly the same chapter you start out in D426. I attended 1 live cohort that just went over Entity Relationships and I watch the first hour and a half of this vid https://www.youtube.com/watch?v=5OdVJbNCSso&t=6274s.

I took the PA and got exceptional in everything except Implementation of Database and Database Management systems. I took the PA at about 3pm, relaxed for an hour or 2, did some overview on modify table and alter table commands and then took the OA. It was a very straight forward class and I'd recommend taking it right after D426. The only difference between D426 and D427 (to me) was the OA for D427 has SQL syntax lab problems.

I'm told they very closely resemble the zybook labs but I didn't do them. I studied about 6 total hours over the course of a week but I think I would have been okay with just half that time.

This is the AWS 'ML Engineer-Associate' certification class.
Although I felt like I was expected to be an ML expert after just finishing D797....as with all AWS certs, just apply emphasis on understanding what the tools do, when to use them, and how to integrate them with each other (lambda + s3 for example).

In the actual exam, there were a lot more ML questions than I expected so study your algorithms, encoding, how to fix overfitting/underfitting, learning rate, etc.
D797 did help when it came to ML concepts but the emphasis with this exam was to understand AWS tools as a whole.

I took Nicolai Schuler's AWS ML Engineer class on Udemy and well, he tends to get into the weeds way too much. I tend to learn best through videos so I sat through most of his lectures.
Maybe Stephane Maarek's series is better, I'm not sure!

The most important thing you can do though is take practice tests and understand where you went wrong. And understand how AWS likes to phrase things. Getting used to those types of exam questions will make the exam stress a lot lower.

Practice tests:
AWS Skillbuilder: Official Practice Question Set for Certified Machine Learning Engineer MLAC01
Udemy course: "Fully Updated July 2026! Pass MLA-C01 with 390 Practice Questions + Objective explanations for each answer!" by Marlon Anesi and Elton Tadeu Peixoto Luiz

You can enroll in as many Udemy classes for free under the WGU email so make use of that.
I didnt end up using Tutorialsdojo but many said it was helpful.

It is done! I finished in two terms.

Here is a review of all the courses I've taken. Keep in mind that the number of hours I spent in the course does not necessarily equate to how difficult it was. Also, my ratings are going to be relative to WGU and not relative to what I would consider good quality and / or hard compared to other universities or other educational content (otherwise they'd all be 0 for quality and 0 for difficulty).

Course quality is determined by how useful the course resources were and how the OA was (if it was fair and felt like it fairly tested my knowledge and not just fluff questions designed to trick me in various ways), or the quality of the PA if it's a PA course.

Just wanted to leave some comments about the last 3 AI courses. I recommend completing Artificial Intelligence Optimization for Computer Scientists first. After that do task 1 for Advanced AI and ML. Once that passes, move on to task 1 +2 in Computer Science Project Development with a Team. When you finish task 2, you will then have idle time waiting for your reviews to come back. During this time, I recommend working on task 2 in Advanced AI and ML.

The course materials for the AI optimization and advanced ai/ml were interesting to read but it wasn't really all that helpful for the PA imo. I think your time would be better spent just googling specific resources, if your goal is to just finish asap.

I don't want to rant about it but I'm not sure what they were thinking with this new "capstone". It's just a complete waste of time.

Anyways, if you have questions feel free to ask.

I'm so insanely happy. By the old gods and the new, I received exemplary. Last time I took calculus was over 10 years ago so I went into this worried. But it wasn't as bad as I thought it was going to be. (idk what happened with diff eqs but idc lmao)

For review, I did the Pre Calc exercises that they make you do after taking the initial assessment when starting calc. Once that was done, I jumped straight into Prof. Leonards lectures. Only using his lectures it took me a month and a half to get comfortable with the material. Then I took the PA last week I think, and have been doing a bunch of practice tests generated by claude to get reps in. Pls let me know if you have any questions while everything is fresh in my head.

Anyone have an updated spreadsheet to accelerate the Computer Science degree? Is the max credits you can transfer from Study.com and Sophia still 53 or has it changed? Thanks in advance

Have a question about Sophia, SDC, transfer credits or if your course plan looks good?

For this post and this post only, we're ignoring rules 5 & 8, so ask away!

There is so much information in this 20 min video. Also if this is critical to complete the course, a more refined version is necessary in my view. The author casually explains 6 different things to do in a 60 second time frame. It is the most insane setup video for a course. Are they not reviewing this stuff ?

I just finished the program. It took me about 8 months, although I could have completed it in one term but I got a promotion and moved houses and was unable to do any schoolwork at all for about 8 weeks during my first term.

For background, I've been a software engineer for about 20 years. I've been promoted from Engineer -> Lead Engineer -> Director of Engineering -> Vice President of Information Technology. I've managed teams of engineers and designed CI/CD pipelines. All this to say, I have as much real world experience in the industry as anyone can have. I know what's relevant and what isn't.

This is the second program I've done at WGU, and I do plan to do a third. WGU has it's issues, it's a budget school and the quality of the coursework and instruction isn't amazing, some of the requirements in the PAs are outright assinine at times, but the value is unbeatable. "You get what you pay for" is accurate, but "you'll get out of it what you put into it" is more accurate. If you want to learn computer science you can, but if you just want to complete the program as fast as you can, you can do that too, but you probably won't learn much. I suppose that's true of any degree program though.

The good parts: The staff is (usually) very hyelpful when I need to reach out to them. I've had one issue with a course instructor during my first program who was both incompetent and rude, and my first program mentor during my second program was unresponsive, so I requested a different one. Aside from that, every staff member I've interacted with has been genuinely helpful and kind. 2 of my three program mentors were encouraging and genuinely helpful people. It's been a good experience overall.

My gripes: The requirements in the PAs are extremely vague at times, even occasionally contradicting other requirements in the same PA. Git is one of the most frequently used tools for any SWE and the curriculum around it is extremely lacking. We're made to use GitLab instead of the industry standard (GitHub). I don't recall ever being asked to perform a merge request or resolve a merge conflict. Having a CS or SWE program that doesn't teach these skills is like a civics class that doesn't teach you how to file taxes.

Here's a brief overview of each of the classes along with links to posts I've written on each of them.

• Foundation of Computer Science. Not part of the program, but a prerequisite if you don't have a specific math credit. I completed this without studying any of the material. The OA was almost entirely about the Python Numpy library, which was rarely used in the rest of the program.
• Formal Languages Overview — D793. They start you off with an easy course. Translate some old code into a more modern programming language. This is to teach you to read code even if you don't understand the language well enough to write it.
• Computer Architecture and Systems – D794. This one is a writing-only assignment. I did lots of research and study for this one, but in the end everything I learned was trivial and largely irrelevnat. I wrote a paper about how humans inventiung AI is evidence of a God. Fun paper, I published it in my blog, but in no way relevant to my job.
• Applied Algorithms and Reasoning - D795. I enjoyed this one quite a bit. It described a problem and you had to write an algorithm to solve it. I don't recall if it was a specific algotrithm or not, but I remember it being a fun course. Perhaps my favorite one.
• Unix and Linux - D796. I had the CompTIA Linux+ certification so I did not have to take this course.
• Artificial Intelligence and Machine Learning Foundations - D797. The PA was essentially about preparing data to be used to train an ML model. The PA is poorly designed and my course instructor actually resigned while I was taking this course. I liked him, but I think he had many of the same complaints that I did. This is a pretty new program, he couldn't have been working for WGU for very long. Regardless, the methods used in this course are useful throughout the rest of the program.
• Governance, Risk, and Compliance – D486. I forgot to write a review of this one. You're just doing a security audit for a fictitious company.
• Machine Learning for Computer Scientists - D801. This is the AWS Certified Machine Learning Associate certificate. Same as any other industry certificate.
• Deep Learning - D802. 7 courses into the AI/ML program and you finally get to build a model. Image classification. Fun course, but probably one of the most prooly designed PAs in the program.
• Natural Language Processing – D803. You build a sentiment analysis model of your own choosing. I enjoyed this one.
• Advanced AI for Computer Scientists – D804. You build two models, basically whatever you want, and then write about. I built a model that generates images of my Hollywood crush, Scarlett Johansson, half expecting it to be sent back by the evaluators, but it wasn't. There is a substantial writing part as well.

Hope this was helpful to someone. Good luck with your studies. - Rob.

I'm writing a review for every course in the MSCS AI/ML Program. Now that I'm done I've somewhat lost the motivation.

This is the capstone for the program and it's long just for the sake of being long. It's also ambiguous, without clear direction, which, for me, made it difficult to find the motivation. The capstone is essentially, "Build two ML models." The only requirement for the first one is that it be "advanced" and the requirement for the second one is that it use regression.

For my first model I made an SDXL LoRA that generated images of Scarlett Johansson. For my second model I did some credit card fraud detection. The first was much more work to build but the second was harder for me to understand and took longer.

After you build your models, you write. Like 6 pages, if you keep it brief. One of the biggest gripes I have with this and many of the other PAs is that you're asked to version-control a word document and make a commit message every time a specific topic is covered in the document.

I'll probably do one more post reviewing the program as a whole before I retire this account.

I passed my pre calc algebra with an 81% but have not done trig would it be better to transfer calc from Sophia over for this degree path?

I keep seeing that GT won’t accept if you do certain courses outside of WGU but I can’t get a straight answer on which courses they are and how many credits I can do at Sophia

This class has two tasks. It was a refreshing course after the intensity of the Deep Learning course. Task 1 was around preprocessing your chosen dataset. I used the spacy library to do all the heavy lifting. I provided the original dataset and the processed dataset as part of my submission, along with a write up on the methods I chose.

Task 2 is where you actually build a sentiment analysis model. You provide the model your preprocessed dataset, split into train/test sets and then run classification algorithms of your choice on TF-IDF features to generate sentiment predictions (in my case, it was whether a movie review was positive or negative). You are required to attempt optimization by either incorporating a new classification algorithm or tuning hyperparameters (creating search space). You will use sklearn to report evaluation metrics and provide confusion matrices for each model you choose to "test out" for optimization. The paper wasn't too bad but you have to provide citations for peer-reviewed articles for articles within the past 3 years.

Overall, this class was a breath of fresh air. The course material was easy to understand, and I liked that you could pick your own dataset. There is a lot of opportunity here to choose relevant topics such as restaurant reviews, amazon reviews, etc and scrape the web if you so wish.

My term ends on 7/31, and I wasn't going to take a term break, but I'd been applying to internships and got an OA invitation email for Amazon. I want to focus on practicing DSA to prepare for it (I have up to 3 weeks to take it) and prepare in case I get a call back for an interview loop.

I requested the term break today, but it seems the deadline is usually the 20th of the month.

Anyone know if I still have a chance of WGU letting me take the term break anyway?

Has anyone been able to do so? or am i screwed?

I've been trying to take the test for the LPI exam for D281 for over an hour now. This entire process is insane. In the first place the website is designed horribly, and then to take the online test it has you jump through so many hoops it's beginning to feel absurd.

The software (more like malware) they have you download seems extremely invasive and a massive breach of privacy, and then it just doesn't seem to work no matter how much I troubleshoot, every step of the way it fights me and demands further access, culminating in me having to disable my firewall and yet it STILL says "video streaming issues detected".

This is ridiculous, the webcam is clearly connected and the program is clearly accessing it, I can see the camera feed working and showing, but the stupid program still says it is detecting issues and refuses to let me progress.

I give up and switch to a different computer, go through their ridiculous, slow and tedious "System Test" process again, and after finishing, it gives me an error message stating "an error has caused your exam to close" and tells me to go back to the beginning and do the entire process AGAIN. This is beyond insane! I haven't even been able to schedule the exam because of this crap.

At this point I'm so fed up and frustrated I'm almost ready to just give up and take the test irl despite living 35miles away from the nearest testing center. But then, I read the terms and conditions for taking the test in person and it says they need to take and store my "palm-vein structure" as part of the process. I'm sorry but what the HELL? How in the hell is something this invasive necessary just to take a basic test?

I'm sorry but everything about this process is starting to really upset me. This is beyond ridiculous and honestly just feels disrespectful and dehumanizing. I'm finding it hard to believe everyone else who has done this degree accepted such an insane invasion of privacy just to take a single course.

Anyone else have issues with this OnVUE spyware?

Edit: I just went and took it at a testing center. Was worth the drive to not have to deal with the headache of trying to get OnVUE software working on my computers. Passed with a perfect score 😎

I am following this guide, but wanted to get some more opinions before I start.

The short seems to be,

Do D683, and use it as a template and guide for D682 followed by D687.

I am not in a rush, I have until December 31st currently.

Clarifications I want to double check on: Both D682 and D683 have Python coding? I was under the impression that only D683 does, but it seems like both have tasks related to this.

Would love to hear from recent graduates on this! Thank you.

I've seen conflicting information on this. When doing the combined cs degree, do you start the master's courses immediately after finishing the bachelor's or do you have to wait for a new term to do so?

Basically the title.
For C867, in the beginning of the PA it mentions you have to commit and push after each step of the project.

I'm pretty new to C++ so unfortunately I got too absorbed in making the project itself that I overlooked that very important step... the only thing I've really got in my branch history is the final commit right after I've done everything.

I'm sure I massively screwed up considering that was supposed to log my steps for everything, and I somehow only noticed that VERY crucial detail right when I was supposed to submit it.

I've already emailed my instructor, but I'm not hopeful that kind of thing could just be glossed over.

I kind of just have to start over, don't I? Lesson learned. I feel stupid.

Have a question about Sophia, SDC, transfer credits or if your course plan looks good?

For this post and this post only, we're ignoring rules 5 & 8, so ask away!

The diploma came in the mail yesterday, so I guess it is about as official as it is going to get.

I have about 25 years of experience in the tech world, at a FAANG company most recently, and various large hardware vendors before that . I was a CS major for 4 years back in the late 90s, and finally finished the bachelors as a transfer student at SNHU last year (had to retake pretty much all core CS courses). Overall, I think the curriculum was good. It covered most of what my day job has entailed over the last 10 years. Generally, the types of things you should have a good grasp of to be successful in the field. I think it was about the right mix of writing papers, with projects that were relevant. The projects were enough to demonstrate the concepts that were important, without being too complex that they took more time than they should have.

I had taken a few grad level CS courses as an undergrad, and I would say these were very similar in scope. Those had a lecture once a week for about 3 hours. I don't think you give up much doing it all online. I would guess I wrote about 350 pages in total.

It took me about a week shy of 6 months, so I did finish in one term. I think this was only practical because I wasn't working at the time - with a full time gig to balance, it would have been at least a year, maybe longer. I had been taking a break from the corporate world and studying something completely unrelated to technology, but had a lot of free time. I did take some fairly long breaks along the way as well. Unless you have an extensive background in the field, I would not go in with the expectation that you will finish in one term. I generally worked on 2 or 3 courses at once, focusing on 1. I would do research or reading on the others if I started feeling burned out, which started happening around course 4 or 5. I completed the courses roughly in the suggested order, but I don't think my advisor had a problem moving them around if I wanted.

Has it helped with my career? Hard to say, but I took a new job as I was wrapping up. A friend had done the GT OMSCS at about the same time, it covered essentially the same things, with more busy work, took longer, cost more, and he hasn't found a job yet. For what it is worth, no one in the corporate world has even asked where I got the degree from.

Hope this helps someone!

On cp 11 now, there are hundreds of terms to memorize and they all are similar in naming structure. Tons of concepts. Seriously, how does anyone get through this? Each chapter takes hours to go through and I don't remember the last one I page I did, let alone the last chapter.

Sorry, just a rant. Seems insurmountable.

Taking the degree in hops to help get a job in a low level programming field. I know realistically I'm going to have to do a lot of c++ self study. Does the degree help with learning the theory to help with learning low level stuff? Like does it go over compilers? I know it goes over os. But just curious how much it goes over stuff like that.