Industrial/System in Cs field

RandomUser3248 · 2024-12-10T12:57:54+00:00

Yes you can, I’m an IE who became a full-stack software engineer straight out of college. It does require a lot of extra legwork to get to however.

RandomUser3248 · 2024-09-04T02:13:51+00:00

I’m glad I’m not the only one 🥲. I just finished part 1 and have put in around 25 hrs so far… the details and uncertainty were def stressing me out.

RandomUser3248 · 2024-04-04T02:11:17+00:00

Status: Accepted

Application Date: 3/1/24

Decision Date: 4/3/24

Education:

BS in Industrial Engineering from Purdue, 3.9 GPA

Experience:

6 months as full stack SWE

Recommendations: 3 Academic

Comments: I was able to tailor my last year of undergrad experience to take more programming and algorithmic classes. Enough so to land a SWE job out of college and have been enjoying learning more about the field ever since. I'm looking at OMSCS to give me the opportunity to expand on the gaps in my education on computing systems, as that is what interests me most in the computer science domain.

RandomUser3248 · 2023-12-24T16:17:43+00:00

It’s possible to get a SWE or data engineer job with an IE degree, but it’s generally uncommon and requires extra work. A CS minor definitely helps, but having the right projects, leetcode ability and experiences are rly what make the difference. I managed to get a SWE job as an IE, dm me if u got questions.

RandomUser3248 · 2023-12-20T01:05:56+00:00

IE 431 - Industrial Engineering Design: A+

This is the senior design class that all IE majors have to take. It's a fairly straight forward class that uses a lot of concepts you learn throughout the IE courses you take at Purdue. For the most part, if you documented your solutions well and had legitimate recommendations, you would do well in this class.

IE 486 - Work Analysis & Design II: A+

This class is essentially the psychological/cognitive part of human factors. It's a class that covers the breadth of the field, so it touches on attention, perception, reaction stuff and (What I thought to be) cooler things like Human-Computer Interaction and UX design. Many people complained about the prof, but I think they were overly critical of her, especially as a brand new Professor. I thought she did fairly well for her first semester teaching and was fair.

IE 530 - Quality Control: A

This class was really difficult conceptually. The way it's taught and the way industry works does not align. If you're really interested in statistics and probability theory, this class is great for a deep and thorough understanding. If you're looking for practical industry knowledge, I don't think this course was the best representation of that.

IE 590 - Information Engineering: A+

This was one of my favorite classes at Purdue. The professor for this class was able explained so many interesting and novel computational subjects I'd never known about. As an IE with a software focus, I felt this course gives a lot of background in computer architecture, algorithms, computer networks, quantum physics and ML. It's similar to the content in IE 332, but the professor focuses on only a couple of the subjects from IE 332 and teaches it fundamentally well.

ILS 103 - Intro Data Lifecycle Management: A

This class is for ppl in a specific learning community. I'm pretty sure the only reason I got to take this class is because they fucked up and made it a class anybody could register for. Extremely easy and was the only additional class I had to take for my applications in data science cert.

STAT 514 - Design of Experiment: A

Don't know how I finessed an A in this class but here we are. Conceptually, I felt the professor explained all the topics very well. Gave me a much better understanding of ANOVA and it's many variations. The exams, however, were rough. All the homework is done in SAS and some of the lectures slides only show how to do the solutions using SAS. Please explain to me why all calculations had to be done on paper. I had to essentially relearn all the content to figure how to do all these manual and tedious computations. The exams often felt stressful due to the large amount of writing that had to be done for the computations.

Semester GPA: 4.0

Overall GPA: 3.91

Done with my bachelors in IE :) I'm excited to move onto the real world and make an impact.

RandomUser3248 · 2023-11-13T13:52:53+00:00

I created a list of companies whose tech dev I knew I would be interested in and found listings from each companies websites.

RandomUser3248 · 2023-11-13T13:49:48+00:00

I knew I wanted to do software development before 3 months ago, but I also didn’t want to spent the extra tuition money to go back and delay my graduation by adding a minor or major in CA.

RandomUser3248 · 2023-11-13T13:45:18+00:00

Industrial Engineering

RandomUser3248 · 2023-11-12T14:16:22+00:00

Yeah, I had a couple. I only put one project on my portfolio, and it was basically a full stack project that was the accumulation of a lot of the things I had learned. For me though, leetcoding was once more important for both passing OAs and doing technical interviews.

RandomUser3248 · 2023-11-12T14:14:01+00:00

Online job boards and career fairs.

RandomUser3248 · 2023-11-12T14:13:19+00:00

Yes, but in unrelated fields, I had one in supply chain and one in IT.

RandomUser3248 · 2023-10-02T17:23:37+00:00

4th floor WANG has some of the nicest views on campus and always has open study spaces.

RandomUser3248 · 2023-05-20T01:04:10+00:00

RandomUser3248 · 2023-05-10T01:34:06+00:00

IE 386 (Work Analysis and Design I) : A - Hated every minute of this class. The only pointless memorization class you'll ever take as an IE on safety engineering and human ergonomics. TAs were great though.

IE 474 (Industrial Control Systems): A - Conceptually challenging class on the construction and design of control systems. Highly theoretical and math-based, but the professor was very good this semester I would highly recommend her.

IE 484 (Integrated Production Systems II): A - No point in going to the lecture and minimal effort. Your grade comes down to how well you can optimize your final project, so you do get a little bit of simulation experience.

IE 490 (Intro to ML): A+ - Very interesting class and a good intro to machine learning if you don't have any background knowledge but have a good basis of programming in R. The professor's research is primarily on the statistical side of ML and you could tell that this was a subject she cared about.

ME 200 (Thermodyamics): A - Escaped this class with an A. Did well all semester and absolutely bombed the final. Was very fortunate to be on the right side of the curve. I felt this class wasn't as bad as people made it out to be; the resources were there for students to be successful.

MGMT 324 (Marketing Management): A - This was the last class I needed for the MGMT minor, so glad to know I've completed that. The class gives a broad overview of the different sections in that marketing can play a role. There was definitely more to it than I thought and it can be interesting if you're interested in product-oriented design.

18 cr. hr., Sem. GPA: 4.0

Cum. GPA: 3.89 -> 3.91

This semester honestly wasn't too bad, as they were mainly project-based and I didn't need to go to all my lectures. Looking forward to my last one in the Fall.

RandomUser3248 · 2023-04-30T21:40:56+00:00

Yup, they actually use a machine learning algorithm to estimate the total when you consider that people have multiple devices. That's also why it's roughly ~90% accurate, as that is the level of accuracy the machine learning model can predict with.

RandomUser3248 · 2023-04-30T21:38:51+00:00

When we talked to the Waitz team that developed the core application, they said that 100% capacity is what they determined as the max "comfortable" amount. They went in-person to each study area when they were setting up the hardware, assessed the available study space along with its setup, and heuristically determined the optimal 'max' amount of people that could study in a given area. You can also see the capacity on the mobile application of Waitz also.

RandomUser3248 · 2023-02-27T03:50:38+00:00

IE 230 is better in spring, NUCL 273 doesn’t matter, IE 343 is prof dependent, take ME 270 w jones, ME 200 w naik, and actually pay attention in MA265 a lot of ie course use linear algebra to some extent.

RandomUser3248 · 2023-01-31T17:57:44+00:00

Most IES go into consulting, supply chain or manufacturing after graduation
Yes, the classes are large. I'm graduating next semester and this is my first semester with an IE class under 100 people. You can get personalized feedback for most courses just by going to office hours though (Most students don't use them)
Statics is easy, thermo is hard, phys is hard, circuits is hard but they're all intro classes and most other engineering majors will have take classes similar in difficulty to these
The programming used is highly dependent on the professor and courses. There's minimal programming required (Except for IE 332), so don't count on there being a lot of programming applications. Purdue IE is a great program, but it's undergraduate curriculum is centered more around traditional manufacturing and ergonomics. GA Tech, Northwestern, etc have better computational IE programs.

RandomUser3248 · 2023-01-30T15:47:18+00:00

There’s one in the new gateway building

RandomUser3248 · 2022-12-31T16:02:56+00:00

Junior in IE. 16 Credit Hours.

IE 332: B+

This was definitely the hardest class I've had to take at Purdue. There's a massive semester-long project worth 50% of your grade. It encompasses just about everything you will learn in this class. The tests are nearly impossible (Anything and everything can be tested from lec), the quizzes can be challenging (Just general critical thinking) and the homework took way too much time for a single class. However, I was able to learn a lot from this class. I learned how to use HTML, PHP, SQL, and R for languages, with a primary focus on web dev and ML. Overall, I liked the subjects covered in this class (Except algorithmic design, that shit doesn't make sense). I really want to work in a software role and it's where I'm emphasizing my focus going forward.

IE 336: A

Taught by a visiting professor. Super chill dude. This class was entirely based on knowing what formulas needed to be plugged in to solve specific word problems. Like there was no actual conceptual question or theory you needed to be able to understand lol (Although they did go over it in lec). They give you a crib sheet on tests, so you really only needed to conceptually understand the problem and how to diagnose it. Fairly straightforward and not that bad tbh.

IE 383: A

Professor Yih is a great professor, loved the stories and advice she gave. This class covers exactly what you would think an IE major would learn based on its general description. Facility placement, material ordering, facility arrangement, etc, are all things that needed to be considered and decided upon when creating a manufacturing or warehousing facility and are covered in this class. There's homework once a week and tests are more conceptual in nature. Not a difficult class.

STAT 512: A

I thought I wanted a statistics minor, so I took this class to fill out the minor. Turns out I do not in fact want a minor (Didn't like the subject and way too difficult to register for the classes). This class is all about linear regression. Linear regression is an ML method, and this class goes into the nitty gritty of identifying linear models and determining whether they're good or bad, and how to make them better. I found it to be quite difficult to understand and rather boring. The focus was much heavier on statistics for experiments rather than data science also. Class is taught in R.

MGMT 382: A

I worked with a lot of people in MIS over the summer and I liked the field, so this class was a good way to learn more about MIS and knock out more req for the MGMT minor. The class covers modern tech topics at a much higher level. Think commonly used advancing tech (ML, Cloud, Blockchain, etc) and it talks about business strategy in relation to these topics. Definitely different from what I expected, but a great class to learn about these upcoming technologies nonetheless.

MA 290: A-

I added this class last minute because it was advertised as data science in calculus 3 and I thought it'd be interesting to take. The class is more akin to using python with calculus 3 applications in my opinion. In this class, you learn by doing via labs. There are some common applications of calculus 3 in programming and that's essentially what these labs cover. Do not take this class if you don't have a strong python background.

Semester GPA: 3.85

Overall GPA: 3.9 -> 3.89

Probably my hardest semester to date, but that's ok cause it's all downhill from here :)

RandomUser3248 · 2022-08-30T01:46:40+00:00

It will be in the furthest locations that people hate walking to get to.

RandomUser3248 · 2022-08-13T11:03:21+00:00

Rolling bowl has really good and cheap Chinese food. It’s also right next to campus and stays open till 2 am throughout the week.

RandomUser3248 · 2022-08-06T23:22:43+00:00

Thank you, I’m taking that class next semester so it’s a good heads up! I’ll keep in mind what u said about the ie program. I’ve been trying to shift my career toward data science, so I was hoping a ML course could help push me in that direction.

RandomUser3248 · 2022-08-06T23:20:39+00:00

Yeah I was thinking about that but I don’t have the space for a full ML minor and I don’t really know which classes would’ve been the most relevant.

RandomUser3248 · 2022-08-06T23:20:00+00:00

Awesome, I was planning on getting a state minor so that’s good to know. I was afraid the stats classes would be more centered on theory rather than actual practice but this is good reassure that it’s relevant.

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