ace589

My understanding is that: On embedded system implementations CORDIC algorithms are used. Entire courses exist on this subject. At larger scale, software libraries typically will store the results in 1/2 degrees in a table and anything smaller is interpolated between those 1/2 degree increments.

Bandwidth is the expected theoretical capacity, like the diameter of a pipe. 1Gb/s for example. For some networks the time step is assumed to be the same for the whole network and thus omitted. Which is why you may not expect to see it all of the time, but in utilities it is customary to maintain the time step on the units. Throughput has multiple meanings depending on the context, but it can be thought of as the actual maximum capacity and the instantaneous capacity. The first being inefficiencies, such as aging copper cable or interference in wireless networks. For the most part these are considered "actual" capacities. You could think of this as a partially clogged pipe with sediment buildup or one with a small leak. The 2nd being the instantaneous flow distribution. In other words, you could have 1G/s capacity, but if the overall network is congested at that instant, 1G/s may not be available on the backhaul at that time. In other words the network is not balanced. The demand > supply. On the contrary, designing a network to handle 100% of the bandwidth 100% of the time would be a waste. If you turn only your bathtub on, it will have 100% flow as expected. But if you turn on every other faucet in your home at one time, the supply<demand. And the flow at the bathtub may be greatly reduced. Latency has more to do with time between arrivals. Traditionally long-distance variable-position wireless communications will have high latency, e.g. satellites etc. To obtain say 50mb/s with satellite, larger packet sizes will be needed because the latency is likely at least 7x that of a fixed position or copper-based network. To accommodate this they must use proportionately greater packet sizes. The resulting problem is then packet loss means a signicant increase in interruptions. This can be thought of as another example of "actual" capacity vs theoretical max. Keeping up with the plumbing analogy, maybe something like having a lot of air in the pipes

Maybe look into satellite campuses? for example you mention Purdue as a reach. But if you do some research of contact them. They do have several other campuses offering the same Purdue degree.

The CS Tracks won't have much relevance. Diff Eq and a Calculus based Intro to Probability and Stats are a must. I would take Financial and Managerial Decision Science and/or Engineering Economy if available. They are often considered prerequisites for FE Grad Courses. A minor in stats or applied math would be a good foundation.

I am not a statistics major. But I do have relative information. There are PhDs in actuarial science. Usually called Risk and insurance manangement. Although acturial science graduate programs aren't common. Phd in Economics is common path taken by statistics or other math majors even more so than ugrad econ majors because grad level econ is almost all math where ugrad is not. Phd Industrial Engineering or Operations Research or Management Science type programs are also common paths taken from math and statistics majors who don't want to go into pure math research. They are often considered branches of applied mathematics but more applied and may be more marketable in industry despite being similar. Courses in non-math areas are included in human factors, manufacturing, science, engineering, and business.

I know of atleast one acquaintance recently finished one of these programs. From what I know your profile is quite strong. Nice GRE and publications. But how will your recommendations be? Also, if you are interested in research why not a Phd? NYU does have research tract but the Columbia program is strictly professional. If employment in industry is your goal then I would apply to these programs and atleast a couple others.

This sounds like digital humanities or human computer interaction HCI. It also sounds like it has a bit of an AI feel too it. From what I've heard AI is the most popular subfield and thus usually the most competitive to get into to. And HCI is probably second or close to second. Being a nonCS undergrad doesn't help. Either way dissertations almost always have qualitative and quantitative research and research is always scientific.

Ah you did not mention in your other post that you are currently attending GA Tech. Your admission will likely be decided by the schools philosophy. Some schools, like Purdue, prefer their own graduates... Others, especially those in Canada from what Ive heard, encourage you to attend other grad schools. You should ask your undergraduate advisor. Anyhow, back on subject. If you are interested in healthcare then you should seek a school which has such a lab. Look for schools that also have a medical school and they may have such a partnership. Also you can quickly learn about schools and their research through organizations and conference articles. I searched INFORMS healthcare analytics and found Vanderbilt. You could find more with little additional searching. I don't think MSHS is necessary and could limit your options down the road.

Financial aid is unlikely for masters. You should apply to PhD programs or the trick to funding masters is to find an employer that offers tuition reimbursement and take part time courses. Generally this is the cheaper route anyhow. I would not recommend full time study and full time employment as you will burn out. If not right away, you will towards the end. Also, you will get better grades when you have less to focus on. Last I checked GA Tech was #1 rank for undergraduate IE so it will be difficult to get in. They do have an online program that is likely much easier to get into. From what I've read the online program has high enrollment and they are capitalizing on the scalability. If your goal is a Phd down the road then you should also do a thesis. My last bit of advice, OR specific, for math based courses you will want to do problems 3 times over to make sure you get the right answer. For the writing based courses you will want to give yourself lots of time to write and review. The literary reviews are comparatively easy, but open ended questions from professors are the worst. Many students including myself struggled with answering open ended questions. i.e. some professors expect 1 page answers that we have been trained to answer, and until now, answered with 1 paragraph or even 1 line answers. Best of luck!

What is your background? I am not familar with these programs but ... Heidelberg seems to expect you come from the application background. It appears to be more like a relaxed applied mathematics program. These type of programs are more traditional and allow you to take the same courses that other majors would take from CS or Math. This are generally transfered well. TUM appears to be more integrated. Programs like these have dedicated courses and less of the traditional courses that a CS or Math major might take. Instead these courses will focus on how the techniques are used in application and how to use them together. These programs save you alot of trouble trying to connect the dots and give you more hands-on and practical experience. If you want to do a Phd elsewhere or change paths later you may have some trouble transferring credits. ML appears be offered as a seminar/elective for both, but game theory is a bigger picture concept and is likely not. These are generally not considered part of the scientific computing core. I would prefer TUM but you should choose the program that's right for you.

Go for it! I am not sure about academia, but Wayne has high placement in industry. Although most of these graduates probably already worked foe those companies. Nonetheless, it would be a great networking opportunity. Living expense will be atleast 25% less in MI although you will want efficient heating, otherwise it could cost more. Tx will cost more but the scene will be more "liveable" in the winter months. Summers will be hot. Congratulations!

Hello again folks. I am geographically tied down, due to family and other personal reasons. So, I only applied to 4 schools. I was only accepted to Western Michigan, but without funding. There is a strong possibility of funding next year and beyond. The question is, should I enroll part time and commute 2 hours and 15 minutes one way once or twice a week. This would also cost me roughly $3300 per course. My 2nd option is to improve my GRE or GMAT and reapply to Purdue. Luckily they only required updated statements for reapplying. My 3rd option in addition to option 2 is to take courses or even complete another M.S. in a strong supporting area such as Mathematics at Purdue which I've heard will improve my chances of getting into a Phd at the same school. Sadly, I would likely qualify for funding of the MS through an assistantship.... Thanks in advance.

Ohio will usually be a little colder than Iowa but Iowa will get lots of sun too. Imo Ohio will have more outdoorsy things to do. But I'd take Iowa since you already have the TA offer.

Anyone apply to Purdue Management Science/Quantitative methods?

Anyone apply to one of the Phd Management programs at Purdue? This school is my #1 choice. The admission statistics say that a whopping 6% are accepted. I also heard that Purdue prefers to admit its own graduates. I have applied to 4 universities. And have been accepted to 1, but funding decisions are still pending. February appears to be the critical month for all 4 applications.