1 00:00:00,010 --> 00:00:05,340 Okay guys, optimization, Discrete Optimization mailbag week five, so I'm 2 00:00:05,340 --> 00:00:11,290 back in the land of kangaroos, opera house coffee and footie, okay? 3 00:00:11,290 --> 00:00:14,000 Stay until the end because there's some big announcement at the end. 4 00:00:14,000 --> 00:00:17,740 But we're going to start with statistics as usual. 5 00:00:17,740 --> 00:00:20,850 So you see this curve here is leveling off which is nice. 6 00:00:20,850 --> 00:00:23,520 So this is the number of students active in the class. 7 00:00:23,520 --> 00:00:26,915 We are stabilizing here around a little bit more than a thousand right now. 8 00:00:26,915 --> 00:00:30,890 Okay. this is the number of submissions graded. 9 00:00:30,890 --> 00:00:36,010 You see them stepping up every time so it's nice, you know, growth here. 10 00:00:36,010 --> 00:00:40,870 This is also what is really interesting. So this is the number of submission per 11 00:00:40,870 --> 00:00:43,640 active students. You have seen that many times but you see 12 00:00:43,640 --> 00:00:46,490 this big jump coming up now. So this is really nice. 13 00:00:46,490 --> 00:00:50,010 So more people are active. The students that are still active are 14 00:00:50,010 --> 00:00:53,630 getting more active and you know, obviously we love that. 15 00:00:53,630 --> 00:00:59,020 This is the number of On Track parts per active student. 16 00:00:59,020 --> 00:01:02,830 And once again, you see these things. [SOUND] Going up every time. 17 00:01:02,830 --> 00:01:05,740 So this is exactly what we want to see. So this is really good. 18 00:01:05,740 --> 00:01:08,820 We are very happy. About that part as well. 19 00:01:08,820 --> 00:01:12,505 this other statistic, the participation per assignment, so are at the level of 20 00:01:12,505 --> 00:01:14,640 TSP, right. So look at the numbers here. 21 00:01:14,640 --> 00:01:18,995 We are almost at 1000, so a little bit of effort guys and we are there. 22 00:01:18,995 --> 00:01:22,800 Obviously, Warehouse Location there, Warehouse Locations there is a little bit 23 00:01:22,800 --> 00:01:25,700 more work to be done there, we are halfway where we want to be. 24 00:01:25,700 --> 00:01:30,220 but, you know, it's a very doable assignment, so hopefully, you know, some 25 00:01:30,220 --> 00:01:35,020 of you can pick it up and push it up to a thousand there. 26 00:01:35,020 --> 00:01:37,920 people have already starting working on the VRP. 27 00:01:37,920 --> 00:01:43,040 It's a very healthy number there, a quarter of where we want to be roughly. 28 00:01:43,040 --> 00:01:46,310 And interesting numbers on the puzzle challenge as well. 29 00:01:46,310 --> 00:01:51,960 This is the life plot, okay, so you can, you know, view it on the website in real 30 00:01:51,960 --> 00:01:54,330 time. So I won't go into very much detail. 31 00:01:54,330 --> 00:01:57,270 The only thing that I want to show you is that at this point we are at the point 32 00:01:57,270 --> 00:02:01,285 where we are basically lifting up the tail of this distribution. 33 00:02:01,285 --> 00:02:04,200 In a sense, that this is nice. So you see these blue things getting 34 00:02:04,200 --> 00:02:08,370 bluer and bluer and getting up and up and hopefully it's going to level at a much 35 00:02:08,370 --> 00:02:10,660 higher level. That's what we are hoping now, okay? 36 00:02:10,660 --> 00:02:13,610 So it's getting, this tail is in a sense getting thicker. 37 00:02:13,610 --> 00:02:16,940 Every tail is a distribution. We really want a very heavy tail 38 00:02:16,940 --> 00:02:19,305 distribution, okay? So that's what we have there. 39 00:02:19,305 --> 00:02:23,130 so mid course survey. We want to give you some result. 40 00:02:23,130 --> 00:02:27,555 We promised we would do that, okay? it's basically 10 percent of the active 41 00:02:27,555 --> 00:02:32,430 students who, responded to the survey. And the first question was, how do they 42 00:02:32,430 --> 00:02:36,560 find the course? And this is, this is, what it came out. 43 00:02:36,560 --> 00:02:40,860 So look at this this way, right? So, it's a little bit tedious. 44 00:02:40,860 --> 00:02:45,240 but it's very rewarding. It's also very time consuming. 45 00:02:45,240 --> 00:02:48,730 It's also very hard, but it's also very fun, okay? 46 00:02:48,730 --> 00:02:52,010 So, essentially that's the kind of things we wanted for the class, okay? 47 00:02:52,010 --> 00:02:56,140 Something where you learn a lot, where it's fun to do, but obviously, you know, 48 00:02:56,140 --> 00:02:59,610 we didn't want an award on the class, so it's hard, it takes time, okay? 49 00:02:59,610 --> 00:03:02,990 So not very much surprise for us, but this, this is nice, okay? 50 00:03:02,990 --> 00:03:06,975 This is what we wanted to see. You know mid course survey. 51 00:03:06,975 --> 00:03:08,500 W-, you know? That was essentially, you know? 52 00:03:08,500 --> 00:03:13,363 Trying to find out ways [INAUDIBLE] . Okay? 53 00:03:13,363 --> 00:03:14,530 And you know I think, what you can see, you know? 54 00:03:14,530 --> 00:03:19,500 Students, you know? satisfied learning a lot. 55 00:03:19,500 --> 00:03:22,850 A little bit behind, some on track. So this is interesting, right? 56 00:03:22,850 --> 00:03:26,530 So you have students there basically spread between a little bit behind and on 57 00:03:26,530 --> 00:03:29,920 track, okay? And of, you know, some students are 58 00:03:29,920 --> 00:03:32,690 learning moderately enough so we have to make the class harder. 59 00:03:32,690 --> 00:03:36,250 Just kidding, right, so, but essentially this is, this is what you see there, 60 00:03:36,250 --> 00:03:41,060 where people are at this point. this is the traditional graphics that you 61 00:03:41,060 --> 00:03:44,930 want to see in this kind of survey. What is the favorite class, favorite part 62 00:03:44,930 --> 00:03:47,550 of your class? And what you see in big, big, big 63 00:03:47,550 --> 00:03:51,420 programming assignments lecture, okay, so this is the stuff that you guys like. 64 00:03:51,420 --> 00:03:55,860 You also see, you know, constraint programming, local search, these are, you 65 00:03:55,860 --> 00:03:58,830 know, high level key words that are appearing there. 66 00:03:58,830 --> 00:04:04,590 Also heart, okay so interesting there. So, basically, you know? 67 00:04:04,590 --> 00:04:07,120 One of the things we were surprised is how much you love the programming 68 00:04:07,120 --> 00:04:09,030 assignments. If you want, we can give you even more, 69 00:04:09,030 --> 00:04:11,240 right? So, once again, just kidding, right? 70 00:04:11,240 --> 00:04:13,420 So you can see that I'm still completely jet lagged, right? 71 00:04:15,220 --> 00:04:20,810 so what we are going to give you now is a one week extension until, August 20th. 72 00:04:20,810 --> 00:04:24,100 And the reason we are doing this is because you really want to lift a little 73 00:04:24,100 --> 00:04:27,640 bit this curve, a little bit more, okay? So, we think it's very fair, even the 74 00:04:27,640 --> 00:04:31,360 difficulty of the class, the feedback that we that we received, okay? 75 00:04:31,360 --> 00:04:36,529 So we give you one week to just, you know, work really, really hard, okay? 76 00:04:36,529 --> 00:04:41,130 And so people were asking also whether class will stay open after August 20. 77 00:04:41,130 --> 00:04:45,170 It was August 13 before, and the answer is yes, you can complete all the 78 00:04:45,170 --> 00:04:47,480 assignments afterwards. Even if you want you can see your 79 00:04:47,480 --> 00:04:49,840 results, you can do all kinds of experimentation. 80 00:04:49,840 --> 00:04:54,930 People who would, you know, register for a new class would into a subsequent 81 00:04:54,930 --> 00:04:57,970 session, okay. So essentially one week extension that's 82 00:04:57,970 --> 00:05:00,325 good. Okay, so that gives you a lot more 83 00:05:00,325 --> 00:05:03,720 opportunity to consolidate everything you have learned. 84 00:05:03,720 --> 00:05:06,930 And we let the class be open after the end date anyway. 85 00:05:06,930 --> 00:05:09,710 So that, you know, even if you can't complete everything. 86 00:05:09,710 --> 00:05:13,450 If you still want to get some tents, and find out what it would take to, for you 87 00:05:13,450 --> 00:05:16,569 to get some tents of some of the assignments, you have the opportunity to 88 00:05:16,569 --> 00:05:18,240 do so. Okay? 89 00:05:18,240 --> 00:05:21,490 What next? Well, you know the VRP assignment is a 90 00:05:21,490 --> 00:05:23,670 difficult assignment. It's a very fun assignment. 91 00:05:23,670 --> 00:05:28,780 So this is an assignment which is get you really, really close, to real problems. 92 00:05:28,780 --> 00:05:32,540 So real-life problems, so one of the reason that, one of the things we 93 00:05:32,540 --> 00:05:37,090 promised at the beginning of the class is that we would actually bridge the gap 94 00:05:37,090 --> 00:05:42,030 between know, knowing almost nothing. To actually being able to tackle real 95 00:05:42,030 --> 00:05:45,030 life problems. This is where we are at. 96 00:05:45,030 --> 00:05:49,050 Okay, so some of the things that we use for polar restoration for instance, for, 97 00:05:49,050 --> 00:05:53,840 you know, you know, logistic problems, are basically built on top of the VRP 98 00:05:53,840 --> 00:05:56,240 that you're going to do. So this is, you know, this is like the 99 00:05:56,240 --> 00:06:00,580 reward at the end of this class. You are very close to solving a real life 100 00:06:00,580 --> 00:06:04,620 optimization problem, which is meaningful, and which is really, r-, 101 00:06:04,620 --> 00:06:07,620 really tough, okay? So this is like the cherry on the cake at 102 00:06:07,620 --> 00:06:08,970 the end. It's tough. 103 00:06:08,970 --> 00:06:12,650 But I think it's really telling you how much you have learned during the class. 104 00:06:12,650 --> 00:06:16,525 this, th-, these couple, these last couple of weeks. 105 00:06:16,525 --> 00:06:20,330 I was about to say this semester. But this is like professional 106 00:06:20,330 --> 00:06:23,570 deformation, right? once again, you know, steady progress on 107 00:06:23,570 --> 00:06:25,700 the assignment, we were very happy. Keep up the good work. 108 00:06:25,700 --> 00:06:30,750 You're almost there, okay. And, yeah, another announcement is also 109 00:06:30,750 --> 00:06:33,360 we are working on the, the course T-shirt. 110 00:06:33,360 --> 00:06:36,280 Stay tuned, we have a couple of designs that we are going to run by you very 111 00:06:36,280 --> 00:06:39,950 soon. so this also, you know, something that 112 00:06:39,950 --> 00:06:43,900 came out of the forum and we just wanted to let you know about this. 113 00:06:43,900 --> 00:06:46,110 A lot of activities in the forums as well came up. 114 00:06:46,110 --> 00:06:49,470 I don't know if I have them on the slides but I think people have really picked up. 115 00:06:49,470 --> 00:06:53,210 I mentioned that last week, I'm rementioning it again, it was very nice 116 00:06:53,210 --> 00:06:57,210 to see more people putting new threads and creating new threads and responding 117 00:06:57,210 --> 00:07:01,200 to threads and things like this. Okay, so keep up the last, you know, keep 118 00:07:01,200 --> 00:07:05,360 up the work that, on optimization. Make sure that You keep, you know, 119 00:07:05,360 --> 00:07:07,050 producing the reasons that you have produced. 120 00:07:07,050 --> 00:07:09,080 I think it's amazing. This is the last assignment. 121 00:07:09,080 --> 00:07:12,920 It's the last mile. So, you know, hopefully you, you, you 122 00:07:12,920 --> 00:07:15,260 survived that one last assignment.