Why do engineers with low gpa (under 3.0) think they are impressive.

I am just tired of engineers telling me how much harder their major is, and how much better they are than me. When these people have 2.5 GPA, and I have a 3.5. My major might not be engineering but it isn't easy.


<p>what's your major :rolleyes:</p>

<p>"Survival is a notable achievement."</p>

<p>haha...sooooo many peope switch out to management in their first year. and we dont graduate for about 5 or 6 years because of co-ops</p>

<p>I have a double major in Mathematics and Statistics.</p>

<p>Wait... so <em>you're</em> majoring in statistics, you come on to an <em>engineering</em> forum and post a thread (<a href="http://talk.collegeconfidential.com/showthread.php?t=237725%5B/url%5D"&gt;http://talk.collegeconfidential.com/showthread.php?t=237725&lt;/a&gt;) with a statistics problem that <em>you</em> can't figure out, and then talk smack about engineers when nobody volunteers an answer...?</p>


<p>That was graduate level mathematics problem that I was curious about. Thought some here might have taken graduate level probability theory.</p>

<p>I didn't talk smack, I just was wondering if anyone could do it.</p>


<p>Maybe these weren't the hardest stat courses, but for my M.S. in Engineering, I had to take graduate level:</p>

<li>Calc-based Stat/Probability course</li>
<li>Experimental Design</li>
<li>Statistical Quality Control</li>
<li>Taguchi Methods</li>
<li>Software Reliability Engineering</li>

<p>I breezed through all of those and they mostly involved looking up some values in a table (well the Taguchi used Qualitek software). I got a 4.0 GPA out of those graduate stat courses.</p>

<p>Why am I mentioning this?....I didn't have a 3.0 GPA as an undergrad.</p>

<p>Also, engineering and computer science is different for the arts. You interview for a job in the arts and you gotta go through 4 rounds of interviews, show off an artistic portfolio and be the best candidate in a 500-mile radius.</p>

<p>In computer science, especially if in the "hot areas" of I.T., all you do is e-mail a resume, do a 10-min phone technical screen, have one formal interview (doesn't even have to be in a suit) and the offer letter is FedEX to you house.</p>

<p>So a 2.5 in engineering is not bad at all. You will still get hired.</p>

<p>well you are taking about Com E</p>

<p>what about M E, Chem E, E E, Civils, etc?</p>

<p>Global no those are not the hardest stat courses. The hardest ones includes Real Analysis and Measure Theory based Probability and Statistics. Fourier Analysis (Spectral Analysis) based times series, Bayesian Analysis, and Multivariate Analysis. These are NOT about looking up values in a table.</p>

<p>The hardest stat courses are heavy in Complex Analysis, Real Analysis, Fourier Analysis, and Multivariate Calculus.</p>


<p>Ok, those would have been hard for me, given that as an undergrad Computational Math major...Real Analysis and Complex Variables were snatched out (required for regular math majors) and replaced by all of those Numerical Analysis, Numerical Solutions for ODE/PDE, and Discrete Mathematics courses.</p>

<p>True Ph.D level probability is a 1 year long sequence using Real Analysis and Measure Theory. Same with Ph.D level Mathematical Statistics.</p>

<p>You have taken Numerical Analysis?</p>

<p>Then can you tell me which of these 2 would be most intersting to take.</p>

<p>Numerical Analysis in Solutions of Equation</p>

<p>Numerical Analysis in Differential Equations.</p>


<p>I am going to assume that the first one "Numerical Analysis in Solutions of Equations" pertains more to the solution of simultaneous (or homogeneous) equations.</p>

<p>I hate to give you a cop-out answer, but both are fun.</p>

<p>Numerical Analysis in Solutions of Equations will be more of solving using computational linear algebra techniques like solving vectors, matrices, LU decomposition (which figures into Stats & Regression).</p>

<p>Numerical Analysis in Differential Equations will be solving 1st, 2nd and maybe 3rd order differential equations. I don't know (by that course title) if partial differential equations will be included. Usually, with Diff Eq computer solution courses, the professor witll go over various methods because for a certain type of Diff Eq, one method will be more accurate than another.</p>


<p>Also, because you will writing programs, make sure you know about data structures like arrays and loops in order to simulate vectors and matrices.</p>

<p>Please do not talk about arrays and loops...they are the devil</p>

<p>I would go with numerical analysis for diff. eq. A lot more interesting.</p>

<p>Then I should review my C, and C+ book.</p>