Blog, ECS 132, Winter 2021

Saturday, March 27, 1:55 pm

I've been asked what courses I recommend for students who wish to go further into the subject matter of our course. I have suggestions below.

My most recommended choices would be, in this priority order, ECS 171 or STA 142AB;, ECS 172; STA 137; MAT 135B, 167.

Saturday, March 27, 9:55 am

I just turned in the grades for our class! Sorry for the delay, mainly due to time needed to grade the Term Projects, and an emergency need to modify my grading scripts.

I don't know how long it will take for the grades to show up on your own records. You are welcome to e-mail me, asking for your grade.

At the start of the quarter, I stressed two points:

In addition to its formal role in the course grade, the Project gave a bump to your grade as follows: Your course grade from the formula (70% Quizzes, 30% Homework/Project) was raised 1, 2 or 3 notches, for a Term Project grade of B+, A- and A, respectively.

So, the Project, combined with dropping your 3 lowest Quiz grades, can have a dramatic effect on your course grade. For example, one student this quarter had Quiz grades of

M M C- C- B- F B+ C+ B- 

(M means Missing) but ended up with an A grade for the course! After dropping the lowest 3 Quizzes but adding Homework/Project, this student had an overall average of 2.88. That was just barely a B, but with an A project, the student's grade was raised 3 notches, resulting in an A for the course. This is similar to the sample from Fall 2019 that I gave in our Syllabus.

The distribution of course grades was

> grds <- ucd$GradeCode
> table(grds)
grds
 A A+ A-  B B+ B-  C C+ C-  D  F  I
29  4  5 17 12  4  3  7  1  1  4  3

Please note this official UCD rule:

A grade can be changed only if a "clerical or procedural error" can be documented. No change of grade may be made on the basis of reassessment of the quality of a student's work.

I hope you're having a nice break.

Wednesday, March 17, 4:20 pm

I am still answering questions by e-mail today, though I am available by e-mail only intermittently.

Here is an example of using tar:

fandrhome/matloff/public_html/matloff/public_html/132/OldExams/tmp/z
laura:tmp/z% ls
a  b
laura:tmp/z% tar cf newtar.tar a b
laura:tmp/z% ls
a  b  newtar.tar
laura:tmp/z% tar tf newtar.tar
a
b

Here I was in a directory z, with files a and b. I used tar from within z to produce newtar.tar, consisting of just a and b. To check, I ran tar tf.

Tuesday, March 16, 3:25 pm

I've received a number of requests to be allowed to use the geospheree package in calculating distances. It's fine. But I just wanted to make sure everyone realizes that it's a trivial geometric calculation that you can do yourself.

Monday, March 15, 5:15 pm

In Part B, in the section on linear models, I want you to try an ordinary linear model first. Then you can try polynomial models.

You are required only to form a confidence interval for your ordinary linear model, not polynomial ones. Note, though, that you COULD form CIs for the polynomial models too, because they are still linear models, i.e. linear in β, on which the CI is based.

Sunday, March 14, 7:15 pm

Happy Pi Day. :-)

Someone asked me about including code listings in your report. Should you include by copy-and-paste? What LaTeX macros could you use for making it look nice?

Definitely don't do copy-and-paste! We're CS people, after all. :-)

Your text editor should have a feature to import files. In vi/vim, for instance, type

:r your_file_name

The contents of the specified file will then be read into your current buffer, at the point at which you invoked the command.

There are many ways to display code in LaTeX, some quite fancy. I used the listings package.

Saturday, March 13, 10:45 am

Later today I will be e-mailing you summaries of your quiz grades. Make sure to double-check their veracity.

Recall that for Section A02, Quiz 2 counts double, as Quiz 1 had to be canceled at the last minute. So you will see a "Quiz 1" score which is identical to that of Quiz 2. Similarly, Quiz 3 counts double for Section A01, due to lack of Quiz 2, etc. Finally, Quiz 4, the oral quiz, also counts double, so you will see two identical grades.

Also:

Wednesday, March 10, 9:55 pm

A followup to the blog posts of March 1, 7:55 pm and March 7, 10:20 am:

In school, most if not all of your assignments are "sanitized." Even if some courses may have students do some data cleaning, in many respects this project goes considerably further, where even the measurements themselves (e.g. driver idle time) may not be so obvious.

Some of you may have heard the term proxy. In economics or other statistical analysis, it means that even though we don't have data on our preferred variable U, we do have V, which to some extent serves as a substitute for V, i.e. a proxy. (The root is of course the same as in "approximate," and the word is also used in voting by stockholders.) You may find it best to use one or more proxies in your project.

So, I don't have certain output numbers that your analysis must match. There is no "answer key." Instead, I want your group to discuss various alternatives for each problem that arises, and choose one. Then in your report, present the alternatives and explain your choice.

Tuesday, March 9, 1:40 pm

I had been missing a couple of the solutions files for Quiz 6, fixed now.

Tuesday, March 9, 11:25 am

The regtools package also includes a dataset peFactors. Make sure you are familiar with it for this week's quiz. Run data(peFactors to load it. Learn about it by typing

> ?peFactors

BEFORE you take the quiz, as ? may not work for you during the quiz.

Monday, March 8, 2:25 pm

Continuing with the "Candidate X" example from our 3/8 lecture, say you survey 500 people, and 288 say they will vote for X.

Let's test the hypothesis H0: p = 0.50000000..., where p is the population proportion of people who will vote for X. We will use α = 0.05.

Here T is pest, the proportion of people in our sample who will vote for X (288/500 = 0.576 with the above data), and θ is p, with θ0 = 0.5.

What about s.e.(T)? As noted in the March 5 blog post, pest, coming from indicator variables is a special case of "X bar," so s.e.(T) = s/n0.5, with s boiling down to [(pest (1 - pest) / n]0./5, about 0.0221. So,

Z = (0.576 - 0.5) / 0.0221 = 3.4389

Is |3.4389| > 1.96? Yes! So we reject H0. We had the policy of believing H0 unless and until we get strong evidence to the contrary. If H0 were true, there would only be a 5% chance of |Z| > 1.96. The latter event ocurred, and rather than dismissing it as a rare event, we choose to abandon our belief in H0.

And now we get greedy: Since 3.4389 is quite a bit above 1.96, we suspect we would have rejected H0 even if we had chosen a more stringent value of α than 0.05. How about, say, 0.01, i.e. 0.005 area in each of the left and right tails?

> qnorm(0.005)
[1] -2.575829

So the rejection cutoff with α = 0.01 is about 2.58. Is 3.4389 larger than that? Yes! So we would have rejected H0 even under the more cautious level α = 0.01.

Just how far could we take this reasoning? Well, we can work backwards:

> 2 * pnorm(-3.4389)
[1] 0.0005840829

Wow! Not just 0.05, not just 0.01, but 0.0005840829! Super significant! This is the p-value. Candidate X enjoys the support of a majority of voters in the population, at a super-highly significant level!

Well...don't celebrate yet. X is in the lead with 57.6% favoring him in our survey, but that it not really far above 50%; things could change later in the election campaign. And, consider another example: Say we survey 10,000 people, and 5188 of them favor X. It turns out that Z = 3.7626, with a p-value of 0.000168156, even tinier, ie even more super-"significant." Yet here X would have a lead of only 51.88%, pretty close to 50%.

The key problem is that the significance test is not telling us HOW MUCH Candidate X is in the lead. It's only telling us whether he is in the lead at all.

A 95% CI for p in that example with n = 10000 is (0.5090069,0.5285931). It's telling us 2 things:

This is much more informative.

READING: Pages 243-247 and 249-254.

Monday, March 8, 2:15 pm

I've been getting a number of queries re Problem A and posters. I've been assuming most people would choose the pandemic option, i.e. papers rather than posters, as most people are not on campus and the online posters don't offer much choice. But a poster is fine if you want that. No matter what, though, keep in mind the blog post of March 2, which said,

In Part A, [any author] with a Professor title is eliigible, including Assistant and Associate Professors.
Monday, March 8, 9:00 am

The following problem was in one of versions of Quiz 6:

Say we have a random sample, Xi, i = 1,2,...,n from some population in which X has unknown density fX. We are interested in the population mean μ, and will use W = the sample mean ("X-bar") as our estimator. Then |W - μ| is our estimation error, and we may be interested in E(|W - μ|). Use simulation to evaluate that in the case of fX being an exponential distribution with mean 2.0.
sim <- function(n,nreps) {

}

print(sim(1000,10000))

Can you work problems like this?

And what about this one?

Say we have a random sample, X1, X2, ... Xn, from some population in which X has unknown density fX. We will form a histogram, but with freq = TRUE so we get actual bin counts. Say our bins are (i-1,i] for i = 1,2,...,25, with an extra bin (25,∞). Suppose, unknown to us, fX is exponential with mean 2.0. Let NI be the count for bin i, i = 1,2,...,25. Find Var(Ni).

varHist <- function(n,i)
{


}

print(varHist(100,2))

Monday, March 8, 8:55 am

Our lecture today will cover problems with hypothesis testing, using this document in regtools. Of course, it is directly related to Problem A of the Term Project.

Sunday, March 7, 3:10 pm

Your group submits just ONE copy of your progress report. Note, though, that it must list what each person has done so far.

Sunday, March 7, 10:20 am

Reminder concerning Problem B: This is real data, full of imperfections and ambiguities. There are various issues on which you will need to make decisions, e.g. whether to include certain trips in your analysis. You will need to discuss these issues in your group, and finally decide how to handle the issues. It is imperative that you explain your decisions in your report. And clearly, there is no single "correct" way to handle things.

Sunday, March 7, 9:05 am Saturday, March 6, 10:45 pm

Please make sure to have both regtools and mlbench installed on your machines for this coming week's quiz. Again, this means you must be able to run library(regtools) and library(mlbench) from within OMSI. Note too that the version of regtools must be the one from my GitHub site, not CRAN.

Friday, March 5, 9:00 pm

(As with any blog post, this is considered part of our course. It is related to NON-required material in the book, which you may wish to read, but that material is optional.)

Many statistical quantities are approximately normally distributed if the sample size n is large, just as is the case with the sample mean. If T is such a quantity, estimating some population value θ, we refer to the estimated standard deviation of T as its standard error.

Here is how that fits in to the example we've had so far, with T being the sample mean and θ being the population mean. We know that Var(T) = σ2 / n, where σ2 is the population variance. The latter is unknown, but is estimated by s2, the sample variance. We say that s / n0.5 is the standard error of T; let's denote it by s.e.(T).

And that means we can follow the same pattern we used to derive an approximate 95% confidence interval for the population mean. For any asymptotically normal T, we have that

(T - 1.96 s.e.(T), T + 1.96 s.e.(T))

is an approximate 95% confidence interval for θ.

For the same reason, we can do testing, say for H0: θ = θ0: Reject H at the 5% level if |Z| > 1.96, where Z = (T - θ0) / s.e.(T); under H0, the probability of rejection will be 0.05.

Similarly, we can compute the corresponding p-value, which is double the area to the right of Z if Z > 0 (or to the left of -Z if Z < 0).

Example: Esimation in linear regression models involves a lot of sums, suggesting that the Central Limit Theorem can be used. In fact, one can show that the estimates of the βi are approximately normally distributed. Let's use that for the mlb data.

 data(mlb)
> mlb <- mlb[,4:6]
> linout <- qeLin(mlb,'Weight',holdout=NULL)
> summary(linout)
...
Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) -187.6382    17.9447  -10.46  < 2e-16 ***
Height         4.9236     0.2344   21.00  < 2e-16 ***
Age            0.9115     0.1257    7.25 8.25e-13 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
...

The estimated βheight is 4.92, so one extra inch of height means, on average, about 5 extra pounds of weight, with a standard error of 0.23. Adding and subtracting 1.96 times the standard error gives us an approximate 95% CI of (4.46,5.38).

We can test the hypothesis that βheight = 0. (An absurdly false hypothesis.) We compute (4.92 - 0)/0.23 = 21.00. The area to the right of that under the N(0,1) density is tiny, in fact about 10-16, as it says in the last column.

By the way, what about the case of a proportion? Since it's an average of 1s and 0s, it's just a special case of means. But it turns out that s2 reduces to something simple: Let T be the sample proportion, i.e. "X bar" in Eqn. (11.24). But since each Xi is either 1 or 0, and since 12 = 1 and 02 = 0, that first term in (11.24) is ALSO T! In other, s2 = T - T2 = T(1-T).

Thursday, March 4, 9:55 pm

In yesterday's/last night's lecture, I noted that the neural networks picture was missing. It's up there now.

Thursday, March 4, 5:40 pm

Two items:

Wednesday, March 3, 11:05 pm

Two items:

Wednesday, March 3, 5:50 pm

The dataset for our Term Project is quite large. Many real-world datasets are even larger, but this one is already big enough to be of concern in various ways. Please note that one of the reasons I chose this data for the project IS its large size. In other words, dealing with the size issues is an important part of the educational value of the project. Note the following:

Wednesday, March 3, 12:10 pm

A student asked whether the special lectures on distribution fitting and machine learning methods will be covered on our remaining quizzes, i.e. this week and next week. The answer is Yes!

Note that the material in these special lectures definitely relates to our earlier course material. The same will be true for the quizzes.

Remember, the policy is that any quiz covers material through the most recent lecture, i.e. a Wednesday, though in practice it usually will be only through the most recent Monday. However, today's lecture (postponed until this evening) will help solidify what I did on Monday.

This evening's makeup lecture should appear on your Canvas page.

Tuesday, March 2, 9:25 pm

I've added several pictures to the document I started discussing in lecture yesterday, and elaborated some more in the text.

Tuesday, March 2, 8:55 pm

Project news:

Monday, March 1, 7:55 pm

Remember, this project is largely open-ended. There are no unique answers, and there are a number of places in which you will need to exercise your own judgment. This is real-world, not the crisply-defined, cloistered, sanitized, insulated project that you may be used to.

If you encounter an issue that has a unique solution, you should:

Monday, March 1, 2:45 pm

I also mentioned that though random forests are generally thought of as having been invented by Leo Breiman, a famous statistiics professor at UC Berkeley and UCLA, the idea was first proposed by Tin Kam Ho, who called them random decision forests. While it's true that Breiman is the main one who refined RFs, Ho must be recognized for her role.

These days proper credit is finally given to prominent women scientists whose work was sadly overshadowed by male colleagues, e.g. Rosalind Franklin in the discovery of DNA. So, good for Dr. Ho! (And even better that she is Hong Kong Cantonese. :-) )

Breiman, by the way, was a very colorful character. He had a nice life as a full professor at UCLA, doing research in probability theory, but suddenly quit to become a free-lance consultant, so that he would have time to take care of his children (foster dad). Through the kids, he saw first-hand how bad (in his opinion) the public schools were, so he ran for the Santa Monica School Board. He won, and later became president of the board. Meanwhile, in spite of having no prior background in applications, his consulting business was doing well, and he was inventing new methology. UCB then lured him back into academia.

Monday, March 1, 2:25 pm

In lecture today I mentioned that one can name vector elements. E.g.

> x <- c(5,12,13,8.88)
> x
[1]  5.00 12.00 13.00  8.88
> names(x) <- c('Jack','Jill','Zack','Bill')
> x
 Jack  Jill  Zack  Bill 
 5.00 12.00 13.00  8.88 

One can name rows and columns of matrices and data frames too. (Of course, for data frames columns are named anyway.) Consider:

> head(mtcars)
                   mpg cyl disp  hp drat    wt  qsec vs am gear carb
Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

You see 12 columns, right? No:

> dim(mtcars)
[1] 32 11

Only 11! That first "column," with the make and model of the car, actually consists of the row names:

> head(row.names(mtcars))
[1] "Mazda RX4"         "Mazda RX4 Wag"     "Datsun 710"       
[4] "Hornet 4 Drive"    "Hornet Sportabout" "Valiant"        
> mtcars[2,]
              mpg cyl disp  hp drat    wt  qsec vs am gear carb
Mazda RX4 Wag  21   6  160 110  3.9 2.875 17.02  0  1    4    4
> mtcars['Mazda RX4 Wag',]
              mpg cyl disp  hp drat    wt  qsec vs am gear carb
Mazda RX4 Wag  21   6  160 110  3.9 2.875 17.02  0  1    4    4

And that can be handy:

> mercs <- grep('Merc',rns)
> mercs
[1]  8  9 10 11 12 13 14
> mtcars[mercs,]  # get rows of the Mercury cars
             mpg cyl  disp  hp drat   wt qsec vs am gear carb
Merc 240D   24.4   4 146.7  62 3.69 3.19 20.0  1  0    4    2
Merc 230    22.8   4 140.8  95 3.92 3.15 22.9  1  0    4    2
Merc 280    19.2   6 167.6 123 3.92 3.44 18.3  1  0    4    4
Merc 280C   17.8   6 167.6 123 3.92 3.44 18.9  1  0    4    4
Merc 450SE  16.4   8 275.8 180 3.07 4.07 17.4  0  0    3    3
Merc 450SL  17.3   8 275.8 180 3.07 3.73 17.6  0  0    3    3
Merc 450SLC 15.2   8 275.8 180 3.07 3.78 18.0  0  0    3    3

This becomes even more powerful when used as indices in loops, vectorized expressions etc.`

Friday, February 26, 11:45 am

Sorry, accidentally shut down Zoom. I don't want to start again, as it may wipe out the recording. Please send me your questions via e-mail.

Thursday, February 25, 11:15 pm

Tomorrow I will lecture on this special material.

Wednesday, February 24, 7:00 pm

In order to provide you with necessary information for Problem B in the Term Project as early as possible, my tentative plan is:

I'll be getting the supplemtary material on the Web tomorrow.

If you want to read ahead, Chapter 14 would be a good choice.

Wednesday, February 24, 5:45 pm

In the Term Project specs, I elaborated on how to install regtools. There are many ways to install packages, described on the Web, but the example I gave is easy to do on Unix-family machines. It may need a little tweaking on Windows. Let us know if you have any problems.

Tuesday, February 23, 10:15 am

I've updated the specs file for the Term Project, adding some clarifying language (and replacing qeSVM by qeLASSO).

As I mentioned in class:

Monday, February 22, 11:45 pm

Our Term Project is now up on our Web page!

Note NOW the two important dates:

I will probably tweak the wording a bit here and there, but it is READY for you to begin! You already have enough background for the first two bulleted tasks, and very soon will have the rest of what you need.

Here is a crucial quote from the project specs:

It is imperative that you start early. There are many things to be done that you may not realize at the outset. You'll need to figure out how the software works, which can sometimes be challenging in the case of graphics. You'll encounter various idiosyncrasies in the data, and will need to figure out how to handle them. You'll find yourself wondering, "Well, in actuality, what does that statistical method do?" This is a rather large dataset; some computations may have long run times. Etc.
Saturday, February 20, 9:20 pm

Since Hwk 2 does not cover more recent course topics, you might like to have something to exercise your understanding. Here's one below. It will only take a few minutes, and it will help solidify your understanding.

One can show that (in the language of abstract math we've used) that the Poisson family is "closed under independent summation." This is just a fancy way of saying that if X and Y are independent Poisson random variables, then their sum S = X + Y also has a Poisson distribution. Note that since a Poisson mean is the parameter lambda, the lambda values must then add too: The lambda for S is the sum of the lambdas for X and Y. And of course, all this then extends to sums of more than two such terms, by induction.

Say X1 X2,..., Say X100 are independent Poisson, each having lambda = 1. So S, their sum, also has a Poisson distribution, with lambda 100.

But since S is a sum, the Central Limit Theorem then tells us that it has an approximately normal distribution. We could then find, say P(S <= 90) in two ways, either using ppois() for the exact value, or pnorm() to get an approximate value. Of course, since it is easy to get the former, the latter is not that useful, but out of curiosity, we might try the latter to see how close the approximation is. TRY IT!

Saturday, February 20, 8:50 pm

What I had as "(0,X)" in Problem 5 has now been fixed as "(0,Y)". I thought I had fixed that a week ago, apparently not. Sorry for any inconvenience.

Saturday, February 20, 1:05 pm

You may be wondering how your overall quiz grade will be affected by the facts that (a) we've had 2 double quizzes (the oral quiz is the second) and (b) I will be dropping your lowest 3 quizzes rather than my usual 2. Here is a worked-out example for you.

Say a hypothetical student in Sec. A02 had the following grades:

Quiz 0: A+
Quiz 1-2: B-
Quiz 3 C+
Quiz 4 A-
Quiz 5 B+
Quiz 6 C
Quiz 7 B+

On the standard 4-point scale, this student would have scores 4.3, 2.7, 2.7, 2.3, 3.7, 3.7, 3.3, 2 and 3.3. Then before dropping 3 quizzes, this student's average quiz grade would be calculated as

> mean(c(4.3, 2.7, 2.7, 2.3, 3.7, 3.7, 3.3, 2, 3.3))
[1] 3.111111

which is a B. (3.2 is needed for a B+.) After dropping the 3 lowest quizzes, the calculation would be

> mean(c(4.3, 2.7, 3.7, 3.7, 3.3, 3.3))
[1] 3.5

That's a B+. (The cutoff for A- is 3.6.)

Saturday, February 20, 10:40 am

Yesterday in lecture, in discussing the relation between the exponential distribution family and the Poisson distribution family, I mentioned that that section of the book is somewhat confusing, as the symbol lambda is rather "overloaded," used differently in different contexts. I've now replaced lambda by eta in the full version of the book, Section 9.1. You are not required to read the revision, but you may find it helpful in understanding Section 8.1 of our course's official book, which is required.

Saturday, February 20, 9:00 am

We are now entering the phase of our course in which we most use linear algebra. In quizzes and the Term Project, you will be expected to know Appendix B of our textbook well, especially Section B.8, Matrix Algebra in R.

Thursday, February 18, 7:30 pm

Please note, again, that although the time slots for the oral quizzes are nominally 5 minutes, the typical time is 6 or 7 minutes.

Wednesday, February 17, 3:50 pm

The "grades" for this afternoon's oral quiz, all NA, of course, were accidentally sent out.

Wednesday, February 17, 8:30 pm

I hope to have your Term Project specs ready by the middle of next week. It will be due on the day of our scheduled final exam. (The Project is in lieu of a final.)

As I've said a number of times, the Term Project IS the course. The earlier material does have its own independent value, but to me a major point is that it lays the foundation for the Project. And, as explained, in many cases the project has an outsized impact on a student's course grade.

Recall that one of the topics in our ethics meetings concerned collaborating with one's teammates. I believe that has generally gone well, but as I am currently having a major problem with one particiular group, that suggests there may be others.

You must fix any such problems NOW, since the Term Project will by its nature demand COLLABORATION. Not only will there be a considerable amount of code to be written, but much more importantly, you will need to: (a) Before starting your data analysis, decide what methods you'll choose to analyze the data with (largely open-ended) and (b) after conducting your analysis, decide how to interpret the results and how to write them up clearly in your report. Remember, in your Project grade, the words will be just as important as the numbers.

Wednesday, February 17, 8:30 pm

I've been requested to extend the due date for Hwk 2, since I didn't have office hours this week. So, the new date will be Monday, 2/22.

Saturday, February 13, 11:15 pm

I've added test cases for Problems 3 and 7.

Again, do not underestimate Problem 7. It can be done rather compactly -- in my version, only 49 lines, including comments and blank lines -- and I've given you a broad outline, yet I think most groups will find it difficult to understand the concepts. As noted, do not wait to work this problem.

Saturday, February 13, 9:50 am

I will not be able to meet my office hour on Feb. 17.

Friday, February 12, 9:55 pm

I've fixed typos in Equations (7.44), (7.56) and (7.57). See the new PDF.

Friday, February 12, 7:35 pm

So, the first week of oral quizzes comes to a close. I thought I'd give three examples of questions, and comment on how students whom I asked these questions did in their responses. (Don't worry about this "spoiling" things; there are lots of other questions I've been asking, and lots more that I could ask.)

Friday, February 12, 9:55 am

Reminder: If you send me a class-related e-mail message, please include 'ECS 132' in the Subject line, to ensure that I see it.

Friday, February 12, 8:55 am

Misc. items:

Thursday, February 11, 10:45 pm

Due to unforeseen circumstances, each of the two sections had a double quiz. It does indeed count as two quizzes. So for instance, in Sec. A01, Quiz 3 will be recorded as Quiz 2 and Quiz 3, as if they were independent quizzes. If say your (letter) grade there is your lowest quiz grade, then Quiz 2 and Quiz 3 will be dropped, leaving you one more quiz to be dropped.

Thursday, February 11, 9:35 pm

Section A02 students, please sign up for your oral quiz here.

Thursday, February 11, 8:05 pm

Here is some more on Problem 7.

I stated that there is lots of information on discrete event simulation on the Web, including some R packages, such as simmer. (The best Python one is SimPy, in my opinion.) I said the packages are too complex for you to learn merely for working this problem, and really, the information I gave in last night's blog should be enough. However, you might gain by looking at the README file for my own package, DES, for guidance.

If you wish, you can use some DES package (must be in R), including mine, to do Problem 7. I will instruct the TAs to give you Extra Credit.

Note: Assume that initially, all the spaces are empty.

Thursday, February 11, 11:35 am

I must reluctantly ask everyone NOT to wear earphones during the oral quiz and homework grading, as they could be used for outside communication.

Sorry to bring this up. I know the vast majority of you do not cheat. But I have already encountered two cases of suspicious behavior during the oral quiz.

Wednesday, February 10, 11:35 pm

As I noted when I first assigned Hwk 2, it is not easy. The hardest problem is probably Problem 7. It actually is an example of discrete event simulation. There's lots on the Web on this, and some R packages, but it's really not necessary to use them. You may find that reading some Web resources clarifies your thinking, but the R packages are complex, best avoided. Here are some hints:

Of course, you'll need "bookkeeping" code, updating the sums necessary for the ouput.

Wednesday, February 10, 11:10 pm

Here is one of the equations you should have for Problem 3:

m6 = 1 + (1/6) m7 + (5/6) 0

The underlying ideas are: Say you start at square 6. What happens after your first turn? Well, you've already taken 1 turn, hence the "1 +." With 1/6 probability, your roll was a 1, placing you at square 7. Since the die you are rolling "has no memory," the mean time needed to get to/past 0 from there is m7, so that's the expected remaining time you'll have on your trip around the board. If instead you roll a non-1, you're already at/past 0, so your remaining time (expected and actual) is 0.

Wednesday, February 10, 8:20 pm

Some points on the oral quiz:

Wednesday, February 10, 4:20 pm

Somehow the Zoom meetings for my office hours have disappeared. I will restore them now. I may need a few minutes.

Tuesday, February 9, 7:55 pm

This may help your thinking in Problem 3.

Tuesday, February 9, 9:45 am

I just finished the first session of the oral quiz. I think it went pretty well.

I will usually send oral quiz grades on the same day as you take the quiz. (I need to write a script for this first.) Almost all of today's grades were in the A and B range, a trend that will hopefully continue.

Remember to have your book with you during the oral quiz. You are welcome to look things up (especially via searching in your PDF viewer). However, keep in mind that this is not a "facts" type of exam; instead, it's probing your depth of insight into the course material. If you've been playing an active role in your homework group, and keeping up with the reading, you should do fine.

Monday, February 8, 11:05 pm

Overall, I would say that recent quizzes have been too difficult. If you look at past quizzes, you'll see for instance that in simulation problems I typically give students most of the code, and have them fill in some blank lines. We (the TAs and I jointly compose the quizzes) have not been doing that. We'll make sure to do that in future quizzes (we have 3 more, in addition to the oral quiz).

Accordingly, I will change the rule of dropping the lowest 2 quizzes to the lowest 3. I've done this occasionally when teaching the course in the past.

Again, I feel very strongly about the importance of this course. I want you to do well, and to feel that you have learned something to carry with you after you finish school. So, I don't want you to become demoralized if you feel you are doing poorly. As I've explained before, my grading system is very flexible, and most people end up with a higher course grade than their quiz grades.

Monday, February 8, 7:30 pm

News items:

Sunday, February 7, 5:00 pm

Note: During your oral quiz, you must have your camera on.

Sunday, February 7, 3:15 pm

If on Quiz 3 (A01) your answer to a library model problem was 2, you probably were misgraded. Contact me to fix it.

Saturday, February 6, 4:50 pm

By the way, the solution files were in disarray, fixed now.

In grading quizzes, a few points have arisen that I'd like to mention:

Friday, February 5, 6:20 pm

This message is about Section A02, but please read it even if you are in A01.

Wednesday, February 3, 9:10 pm

Extremely important details on the oral quiz:

Wednesday, February 3, 6:00 pm

In my office hour today, I asked those present if they would like me to put them through a dry run of the oral quiz, asking questions like those I'll ask in the real thing. They said yes, so here is a summary of what transpired:

I said, "Tell me about indicator variables." One student answered that they indicate whether a certain event occurs, good, and brought up some other good points. He did make a wrong statement, which I corrected, and he immediately saw it and added some more comments.

I then asked this: "One can see just by the fact that people gave such variables a special name that they must be important. Can you give an example of where we used them?"

That latter question turned out to be more challenging. One of the other students present did mention that indicator variables come up in Bernoulli trials, good, but that's just description. What I was asking for was where did indicator variables actually turn out to help us solve problems.

For instance, the use of indicator random variables made it really easy to derive the mean and variance of binomial random variables. See also the library examples, etc.

Needless to say, those students did well in light of the fact that they hadn't prepared, hadn't reviewed the material, etc. But the point is that what I'll be measuring in the real oral quizzes will be the ability of students to see the "big picture," exemplified above.

Wednesday, February 3, 2:35 pm

See this interesting tweet and discussion.

Tuesday, February 2, 1:15 pm

As we are now around the midpoint of the quarter, a reminder re course grading procedures would be helpful.

Tuesday, February 2, 10:25 am

Yesterday several students asked about Sec. 3.9.4, p.64. I'll go through the details here.

As is often the case, the mailing tubes play a key role. The derivation simply consists of repeated application of (3.41) and (3.25). Note that simple algebra implies that an alternative form of (3.41) is E(U2) = Var(U) + (EU)2.

A natural first step to try would be to apply (3.41), treating IS as "U":

Var(IS) = E[(IS)2] - [E(IS)]2

Now consider the first term on the right-hand side. By (3.25),

E[(IS)2] = E[I2 S2] = E(I2] E[S2]

Let's look at that latter factor first. By the above-mentioned alternative form of (3.41), we have

E[S2] = Var(S) + (ES)2 = 5 + 102

One can evaluate E(I2] in the same manner. Or, one can note that I2 = I and then use (3.78). Make sure you understand how both approaches work.

One then evaluates E(IS) as EI ES, again by (3.25).

In other words, there is nothing deep at all in this example. The problem simply requires a dogged persistence, applying mailing tubes until one succeeds in coming up with a number. Remember, persistence matters!

Monday, February 1, 7:30 pm

Reminder: When you send me e-mail, please put "[ECS 132]" in the Subject line.

Monday, February 1, 1:00 pm

I fixed a couple of typos in Problem 3 of the Homework 2.

Thursday, January 28, 11:00 pm

Eqn. (3.76) is missing a factor ai aj in the sum of covariances.

Thursday, January 28, 9:00 pm

Hwk 2 is now up on our Web page. It's somewhat longer, and in my opinion somewhat more difficult, than Hwk 1. So START EARLY! Teams who wait until, say a week before the due date, WILL NOT FINISH.

Thursday, January 28, 7:10 pm

Shubham held a special quiz this evening for a student whose Quiz 0 was somehow lost. This was not meant to be general.

Wednesday, January 27, 4:20 pm Tuesday, January 26, 12:10 pm

Hwk 1 due date now 1/29.

Tuesday, January 26, 9:35 am

I've gotten a number of questions on how to do Problem 2 in the homework. Here is what I wrote to one student:

Because of the recursive nature, you don't write any explicit probability computation into your code. The recursion generates the probabilities on its own, using (2.2) and (2.7). You don't do probability computation yourself, since the problem statement GIVES you the recursive equation.

In other words, you're making the problem way too hard. Almost all of the function is already written for you. All you have to do is identify the termination conditions. And even one of those is given to you, p1,1 = 1.

Rethink the problem, and if you have more questions, feel free to ask.

Monday, January 27, 10:25 am

Here is an important point about Quiz Problem 4, V.1, Sec A01, which asks for the probability of the bus having 1 passenger as it leaves Stop 6, given that it has 1 passenger as it leaves Stop 5.

In our bus example, we are assuming the bus is initially empty. But we could assume it initially has 1 passenger. Then the above probability is the same as the probability of the bus having 1 passenger as it leaves Stop 1. The reason for this is that even if the bus is initially empty, what happens at Stop 6 depends only on the state of the bus as it leaves Stop 5. E.g., knowing that say L3 = 4 becomes irrelevant.

Monday, January 25, 9:05 pm

Solutions for Sec. A01 Quiz are now here.

Monday, January 25, 7:30 pm

The expression at the end of Problem 4 is correct but needs some explaining. I've added an explanation.

Monday, January 25, 9:50 am

In The Wizard of Oz, Dorothy says to her dog Toto, "We're not in Kansas anymore!" Well, for those of you who might have some prior background in probability, "We're not in AP Stat anymore!" You can't rely on the intuition you used before in "Kansas."

Intuition is definitely important, but to solve any nontrivial probability problem, you need more:

Sunday, January 24, 11:10 pm

Someone asked how to split a .tex file into multiple files. Say Jack and Jill write Jack.tex and Jill.tex, with the aim of combining them into one PDF. To do this, write a file main.tex, with this form:

% your usual preamble, e.g.
\documentclass{article}[11pt]

\setlength{\oddsidemargin}{0.0in}
\setlength{\evensidemargin}{0.0in}
% etc

\input Jack
\input Jill

\end{document}
Sunday, January 24, 11:00 pm

News items:

Sunday, January 24, 8:30 pm

Please keep in mind the blog post of Thursday, January 14, 7:45 pm. DURING GRADING, THE AUTO SCRIPT WILL RUN YOUR CODE. If your R code blows up (execution/runtime error), you will get at most 1/2 credit for the problem. Be SURE to run your code, using the Submit and R button in OMSI; that is a major advantage of OMSI, the ability to actually run your code.

Saturday, January 23, 12:30 pm

ECS 132 news items:

Friday, January 22, 6:30 pm

Somehow the quiz for Sec. 2 is not up. We will do two quizzes for Sec. 2 next week.

Friday, January 22, 2:25 pm

As noted before, even if a homework problem asks you to find a probability, expected value etc. analytically (i.e. math), you should still write simulation code for your own benefit, to check your math.

In Problem 4, I have the opposite advice: Use an analytical solution to check your simulation code. I've added a couple of examples to the problem writeup.

Friday, January 22, 2:20 pm

Homework submission information on CSIF, per Arnav. Use the handin app:

handin acharyya hwk1

Friday, January 22, 9:40 am

In order to give you exposure to more examples involving expected value and variance (Problem 5), I'm moving the due date of Hwk 1 back to 1/27.

Wednesday, January 20, 11:20 pm

Keep in mind, the quiz policy is just like that of the homework. If a problem asks for a probability, expected value etc., it means the exact answer is required; do not do simulation unless it is specifically requested.

Please MAKE SURE you are mindful of the blog post of Thursday, January 14, 7:45 pm, especially the point about NOT simplifying math answers.

Wednesday, January 20, 7:10 pm

In a discussion of Problem 1a in the OH today, a student said his solution steps led him to finding

P(X1 + X2 ≥ 4 | X1 ≤ 3 and Y1 ≤ 3)

where Xi and Yi are Jill's and Jack's ith rolls, respectively. (Note that for instance X2 is undefined if Jill wins on the first turn.) He was unsure where to go next.

Well, first, we have that

P(X1 + X2 ≥ 4 | X1 ≤ 3 and Y1 ≤ 3) = P(X1 + X2 ≥ 4 | X1 ≤ 3)

Now, what to do with that? Rewrite it as

P(X1 + X2 ≥ 4 | X1 = 1 or X1 = 2 or X1 = 3)

Then use P(B | A) = P(A and B) / P(A) etc.

The message is, Don't give up! Persistence is key! Your solution may turn out to be rather lengthy in some cases.

Wednesday, January 20, 7:10 pm

I'm still seeing a lot of students try to intuit their way into solutions to the probability problems. Yes, intuition is highly important, but it will often lead you astray if you don't couple it with detailed, step-by-step use of the mailing tubes.

Wednesday, January 20, 7:00 pm

Someone asked whether numerical values will be announced for the math problems in the homework, so you can check your work. As I explained a couple of times in the blog and in class, what I prefer is that you write simulation code for the purpose of such checks (even if the problem doesn't ask for simulation code).

It may be that you find that your math and simulation answers don't match. Carefully go through each, and if you can't find the reason for the discepancy, contact a TA or me.

Note that simulation gives only approximate answers, so the math and simulation answers will not match perfectly. Try a much larger value of nreps if you are concerned that the difference may be due to a logical error. The discepancy should diminish.

Tuesday, January 19, 9:40 am

Homework news:

Monday, January 18, 9:00 pm

News items:

Friday, January 15, 8:40 pm

Reminder:

As explained in our course syllabus, all my files recording your grades on quizzes, homework and the term project are indexed by your official UCD e-mail address (which is the address I've been using in my e-mail messages to you). If you use some other e-mail address, in effect we have no record of your work! This is not good. :-(

Keep in mind that this is an issue not just for quizzes, but also for homework and term projects. Note that in the latter two cases, you work in groups. For instance, your group makes just one submission for the group, not one for each group member. That means that the person who submits the homework or term project must make sure that the e-mail address for each group member is correct.

Friday, January 15, 3:55 pm

There has been a change in office hours. Arnav will take over for Shubham. See our "course at a glance page for details. Shubham is still one of the TAs, so you can still e-mail him etc.

Friday, January 15, 2:05 pm

Make sure you understand R's *apply() functions. None is absolutely necessary, but they can simplify your work quite a lot.

Reminder: All blog posts are considered part of your official course materials. Be ready to use the *apply() functions on quizzes.

Thursday, January 14, 7:45 pm

Some tips to remember for Quiz 1 next week and all subsequent quizzes:

Thursday, January 14, 12:30 pm

Someone asked whether it's OK to use '=' instead of '<-' as your assigment operator. The answer is "usually." There are situations, e.g. this one, where it may give you the wrong result or even generate an error message.

On the principle of "better safe than sorry," I do urge you to use '<-' for assigment. And I urge you to put a shortcut into your text editor's startup file. For instance, I have this line in my vim startup file:

map! eqq <- 

Then every time I want the "left arrow" assignment operator, I simply type 'eqq'. No hunting on the keyboard for '<','i, '-' or even '='.

Wednesday, January 13, 2:50 pm

Shubam will hold a special OH today re OMSI, 4 pm.

Tuesday, January 12, 11:00 pm

Misc.:

Tuesday, January 12, 9:55 pm

Concerning office hours (TAs and myself):

Tuesday, January 12, 4:50 pm

CRUCIAL instructions for taking quizzes. Follow these TO THE LETTER!

  1. Make sure you have thoroughly tested OMSI, playing the roles of both student and instructor.
  2. In your above tests, do at least one in which the server is running on CSIF, which will be the case during quizzes. Note that that means you must be running the UCD VPN.
  3. The server host and port for your quiz will be shared with you in separate e-mail message, the day before the quiz. DO NOT SHARE THESE WITH OTHER STUDENTS; doing so will result in a report to the SJA.
  4. That e-mail message will also state the start and end times of the quiz, usually a duration of 25 minutes. Of course, once the server shuts down, you cannot submit any further work. In fact, even if you submit just before the server goes down, it may not be processed by the server on time.
  5. The quiz will be hosted during the discussion sections. You must take the quizzes in your enrolled discussion section.
  6. As your discussion section is about to start, enter the Zoom session for that section, via Canvas. The TA will start the server at the appointed time, and you may begin the quiz.
  7. Questions from students to the TA via Chat are allowable for clarification of the quiz questions' wording. Questions about the course content, the location of items in the textbook and other course materials will be answered with a polite statement, "Sorry, I can't answer that kind of question."
  8. If you have a question during the quiz, address it ONLY to the TA, not to Everyone (the default). We may be able to disable the latter.
  9. Quizzes are open book/notes. For convenience, you may wish to use OMSI's PDF feature, as it allows searches.
  10. You are NOT allowed to otherwise access the Internet during quizzes.
  11. You are NOT allowed to communicate with anyone, in the class or not, during a quiz.
  12. Be ready for the quiz ON TIME. Clearly, with the quizzes being only 25 minutes in duration, you cannot afford to be late.

Tuesday, January 12, 8:40 am

ECS 132 news items:

Monday, January 11, 19:15 pm

This post will be about LaTeX.

LaTeX is a standard typesetting language in tech and the sciences. It was invented by a computer scientist, the Turing Award winner Leslie Lamport. It consists of a number of macros for the more basic typesetting language, TeX, invented by another Turing Award winner, Stanford CS professor Donald Knuth . It is used by most CS professors in their research. If you do research with a professor, you probably will use it. It is also the basis for math typesetting in the Wikipedia.

What tools might you use to write LaTeX?

How can you learn how to do a certain LaTeX trick, e.g. having a column of equations with the = signs lined up?

Monday, January 11, 11:55 am

I corrected the time for the last ethics meeting (earlier blog post today). It is 11:45.

Monday, January 11, 10:10 am

I've mentioned that as CS students, you should be good at using Unix (i.e. Unix-family OSs, notably Mac or Linux). This is NOT required for our course, but it's something that you should do simply as a tech expert. Note again that Intel once complained that UCD CS grads don't know Unix well.

The only way to get good at Unix is to use it in your daily life. Just because you, say, did well on Unix exam questions in ECS 36B doesn't mean you know Unix, not at all. The only way to know Unix on a practical level is to USE it, learning along the way as issues arise to be solved. If you have a Mac, fine (but use the command line a lot). Otherwise, run Linux.

And that means using REAL Linux. Any emulator, virtual machine etc. will fall short in one way or another. That includes the Windows Subsystem for Linux.

A student tried to run OMSI on WSL, and got an error message, "no $DISPLAY environment variable." That was apparently due to this problem with WSL, a great example of why WSL is not the "real" Linux, even though Linux has been installed.

But the incident shows more than just the failings of WSL. The important thing is that, as a CS student, you should know what this error message means. In fact, it was discussed briefly in my blog post of January 4, 7:15 pm, so you can see it is a common error, thus something any CS student should know about. This is an example of what I meant above in my "learning along the way" remark; this kind of daily life stuff will NOT be on an ECS 36B exam.

Using Unix on a daily basis will improve your productivity. Same for a using a debugging tool. If you learned, say, gdb in ECS 36B but are still using print statements to debug your code, you are doing yourself a disfavor. The purpose of including a debugging tool in the ECS 36B topic list is to prepare you to do effective debugging in every course from then on, NOT just to have one more topic for your final exam.

If you have a Windows machine, I recommend that you set it up to dual-boot Windows and Linux.

Monday, January 11, 10:00 am

The last ethics meeting will occur at the end of class this Wednesday, at 11:45 am. If you are in the list in the blog post below (1/10, 11:30 am), you must participate at that time. A Zoom invitation will be e-mailed to you later today.

Sunday, January 10, 11:30 am

Here is a list of students, by last 4 digits of student ID, who we believe have not yet participated in the ethics meeting:

7264
6580
7488
8351
3884
8815
1526
4619
7484
7793
9171
8729
1502
0394
5729
7446

If you did participate, please let me know as soon as possible.

Friday, January 8, 2:20 pm

I fixed a typo in the homework: d> should be just d.

On p.12 in the book, there is reference to node A and node B. This is confusing, as readers may think this is related to events A and B in, e.g., Equation (2.6). So, instead, say that we have two terminals, at which John and Mary are typing. Call the nodes Node John and Node Mary.

So, between (2.15) and (2.16), "A" means Node John and "B" means Node Mary.

Thursday, January 7, 10:55 pm

The first two problems for Hwk 1 are now on our class Web site. There may be some small changes made in the next day or so, but basically the problems are ready and you should get started now.

Thursday, January 7, 9:30 pm

Important news items:

Wednesday, January 6, 9:30 pm

Several points:

Wednesday, January 6, 3:25 pm

Ethics meetings: Those who added the course late, or who miss their assigned meeting, will be handled separately.

Wednesday, January 6, 12:15 pm

Reminder: We have our "ethics meetings" this week, during your assigned discussion sections.

You were e-mailed Zoom invitations. (In class today I mistakenly said it was via Canvas, which is not true. For this particular meeting, it is on my personal Zoom room.)

It is crucial that you JOIN THE ZOOM SESSION ON TIME. I will create breakout sessions and meet with you one group at a time, and the way I have it set up, Zoom will form breakout room groups AMONG THOSE PRESENT AT THE TIME. (Breakout rooms can be pre-assigned, but I didn't do it this way.)

After your group's meeting is done, you are free to leave.

Tuesday, January 5, 9:55 pm

Office hours for the TAs and me have now been posted, as recurrent meetings on Zoom via Canvas.

Tuesday, January 5, 1:55 pm

If you were enrolled in the course as of early afternoon today, you have been e-mailed an invitation to the ethics meeting for your discussion section THIS WEEK. Please read the instructions immediately.

As has been mentioned, this meeting is REQUIRED. You will not be able to take any quizzes (70% of the course grade) if you have not attended. Since this is your regular discussion section, you should not have a time conflict, but if you do, please contact me immediately.

Those on the class Waiting List will be handled separately, if/when you are admitted to the course.

Monday, January 4, 8:45 pm

Sorry for all the blog posts today. We of course will have more now at the start of the quarter, but once things settle down there will usually between 0 and 2 per day.

The purpose of the current post is to announce that the course syllabus is ready

Yes, it is absurdly lengthy, but it is your user manual for the course. It gives you full information on homework, quizzes, the term project, group work and grading.

Note these points in particular:

The importance of following directions correctly cannot be overemphasized. A sad example occurred one time concerning the term project, which is due at 11:59 pm the day of the scheduled final exam. (We don't have a final.) At 12:03 a.m. I received a message from a frustrated, very panicky student saying that he didn't know how to submit the project to CSIF. His teammate had been the one to submit the homework to CSIF, but he was already on a plane home. Of course, I explained what to do and didn't impose a penalty, but this student had gone through a lot of avoidable anguish.

Anyway, that's the last of the numerous messages this evening. See you Wednesday!

Monday, January 4, 7:40 pm

More on OMSI:

As you know, our first quiz will be held in Week 2. It will be a "warmup" quiz. EVERYONE should get an A+.

And MOST everyone will. Here is the distribution from my teaching the course last year:

> z <- read.table('Quiz0Grades') 
> table(z$V7)

  A  A+   B   C   D  D+   F
  1 106  20   1   9   5   1

As you can see, more than 2/3 of the class did get an A+, but about 10% got D or F grades. Those in that latter group simply didn't prepare. Some did recover and eventually get A or B grades in the course, but it certainly is a bad way to start the quarter. :-)

Remember, OMSI helps YOU get a better grade, because you can test your code and revise it if it doesn't work right. One time (pre-pandemic days), a student forgot his laptop and had to take the quiz on paper. He was very upset with himself, saying "That puts me at a disadvantage."

I've been using OMSI for 5 years now, and it works well. It's not fancy, e.g. no code syntax highlighting, but it does its job. You may wish to browse through the source code; it's complex but hopefully well organized. Good example of network and threaded programming.

Suggestions for new features etc. are always welcome, but unless they are quick to implement, they may just be filed away.

OMSI is simple to use, but you do need to read through the entire documentation. Please be patient.

Monday, January 4, 7:15 pm

During quizzes, please run OMSI on your own laptop, not CSIF (stated here, which is linked to from the OMSI docs). I have several reasons for this, but now I'd like to use this as a "Unix lesson."

A student tried running the OMSI on CSIF, and get an error message, "no $DISPLAY environment variable." Here's why:

When you use ssh to connect to CSIF remotely, you can only run text applications, not GUI. That error message is saying the CSIF machine has nowhere to display the OMSI window.

My point in bringing this up is to show an example of what "knowing Unix" means. I mentioned today in class that Intel recruiters once complained that UCD grads don't know Unix well. As you can see here, it's a lot more than just knowing the ls and cd commands. And the only way to gain this knowledge is to use Unix (Mac or Linux) in your daily life.

BTW, one can run GUIs with ssh if one uses the -Y command line option.

Monday, January 4, 2:50 pm

Re Discord:

Monday, January 4, 2:00 pm

Problems 1 and 2, especially Problem 1, in most quizzes will be very easy. I do this because I want to make sure every student who has been keeping up with the class gets some points. Thus, don't try to overinterpret a problem that you might feel is "too easy."

Monday, January 4, 2:00 pm

In sending e-mail to me or the TAs, please put '[ECS 132]' in the Subject line.

Monday, January 4, 12:10 pm

Sorry I didn't see the Chat messages. They weren't visible to me once I did screen sharing. I'll see about fixing this. Meanwhile, let's see if I can address them here.

The URL for the textbook was in one of the pre-quarter e-mail messages I sent. Those messages are archived here. If you haven't read those messages yet, read them NOW; they are crucial to your success in the course.

Re CSIF: You will need to use CSIF only for submitting the homework and term project. Make sure everyone in your group knows how to do this, to avoid disaster, e.g. unsubmitted term project and failed course grade.

Note: As mentioned over the break, as CS experts, you all should know Unix (Linux or Mac) well; Windows is for non-techies. Knowing ssh is part of that.

Nicholas asked whether the main computer in the example would hold a queue of messages in a buffer. Not in our very simple example here. And even a buffer can fill, with other messages being discarded.

Monday, January 4, 10:40 am

My office hours will be MW 4:30-5:30 pm (starting in Week 2) and by apppointment. TA office hours will be announced soon.

Sunday, December 27, 11:20 pm

Starting January 4, all course announcements will be made here.