CS 111: Program Design I Lecture 18: Breaking News; Exam Review. Robert H. Sloan & Richard Warner University of Illinois at Chicago March 20, 2018

Transcription

1 CS 111: Program Desig I Lecture 18: Breakig News; Exam Review Robert H. Sloa & Richard Warer Uiversity of Illiois at Chicago March 20, 2018

2 Recall from last time: The Key Legal Rule Restatemet 211(3): Where the other party [= the busiess] has reaso to believe that the party maifestig such asset [= the cosumer] would ot do so if he kew that the writig cotaied a particular term, the term is ot part of the agreemet.

3 Iterlude: Terms of Use i the News Cambridge Aalytica aalyzed voter profiles for the 2016 Trump campaig. It obtaied the data from A. Koga, who set up a Facebook page offerig a app called, this is your digital life, described as used by psychological researchers. The terms of use for the app said the data would be used for a research app used by psychologists. But: Koga trasferred the data to Cambridge Aalytica for o-academic purposes.

4 Breach of Cotract This breaches Facebook s cotractual terms for third party developers: q q Do't sell, licese, or purchase ay data obtaied from us or our services. Do't trasfer ay data that you receive from us (icludig aoymous, aggregate, or derived data) to ay ad etwork, data broker or other advertisig or moetizatio-related service. q Facebook suspeded Koga s compay ad Cambridge Aalytica.

5 REVIEW: LIMITATIONS OF LEGAL ANALYSIS WITH DATA ANALYTICS

6 Accurate Predictio Predictive data aalysis (predictive aalytics) is rather poor at predictio geerally.

7 Useful Iaccuracy Ø Ø Predictive data aalysis (predictive aalytics) is bad at predictio. Ø Because it leaves out cotext. So whe is it useful? Ø Ø Ø Whe humas are eve worse at predictio. There is sigificatly icreased beefit from improved predictio accuracy. False positives ad false egatives are low.

8 Computer Fraud ad Abuse Act Crimial ad civil liability for whoever (a) itetioally accesses a computer (b) without authorizatio.., ad (c) thereby obtais... iformatio from ay... computer. 18 U.S.C. 1030(a)(2)(C). q Viewig iformatio is obtaiig it.

9 Code ad Copyright import urllib.request as ur page = ur.urlope(url) # raises CFAA issues start = page.read () # raises copyright issues Ad both ca raise cotract issues.

10 Copyright: A Budle of Rights The right to q q make copies ad distribute copies of the work. make a derivative work. q publicly display the work q publicly perform the work 17 U. S. C. 106.

11 Cotracts ad Good Faith If you have a adequate opportuity to read ad uderstad a agreemet, the law treats you as if you read ad uderstood eve if i fact you did ot do so. The obligatio of good faith limits the eforceable terms i such cotracts.

12 REST OF OUR REVIEW FOR EXAM

13 Today Review for exam If time / lack of review questios from you all, more o cotacts/terms of Use

14 Exam II Cumulative, but much heavier emphasis o material from last 5 6 weeks

15 Geeral CS topics Computers, algorithms, Moore's law, etc., from very begiig of course Software desig, hierarchical decompositio Writig code that humas ca read Notio of data aalytics / data sciece

16 Geeral legal topics Compelled disclosure of crypto keys CFFA ad use of websites Use of data aalytics istead of or i additio to expert aalysis i law i geeral, i uderstadig court decisios i particular

17 Pytho programmig cocepts Writig larger programs q fuctios, def, etc. Variables, Data, ad variable/data types simple if ad else for/while/if with elif or estig Modules q Very simplest basics of padas Strigs Lists, icludig mutability Files

18 Review questios Exam will have very little or most likely zero multiple choice questios, but may clicker questios ow to get everybody's ivolvemet

19 What is prited? ls = [2, 4, 6, 8, 10] foo = ls.pop(2) bar = ls.pop() prit(ls) A. [2, 6, 8] B. [4, 8, 10] C. [2, 4, 8]

20 What is prited? ls = [2, 4, 6, 8, 10] ls = ls.pop() prit(ls) A. [2, 4, 6, 8] B. [2, 4, 6, 8, 10] C. 10 D. [2, 4, 8] E. Noe

21 What is prited? ls = [2, 4, 6, 8, 10] b = [ ] for item i ls: b.apped(item+5) prit(b) A. [2, 4, 6, 8, 10] B. [2, 4, 6, 8, 10, 10] C. [7, 9, 11, 13, 15] D. Error; the + iside apped causes a issue

22 I Pytho a module is: A. A file cotaiig Pytho defiitios ad statemets iteded for use i other Pytho programs B. A separate block of code withi a program C. Oe lie of code i a program D. A file that cotais documetatio about fuctios i Pytho

23 Which statemet allows you to use the radom module i your program A. import radom B. iclude radom C. use radom D. Sice radom is i the stadard library, you do't eed ay statemet

24 What happes? x = -42 if x < 0: prit("the egative umber ", x, " is ot valid here.") else: if x > 0: prit(x, " is a positive umber") else: prit(x," is 0") A. The egative umber B. is a positive umber... C. is 0... D. Error

25 A variable pi is i the math library. Assumig you have imported math, how do you refer to pi? A. math.pi B. math(pi) C. pi.math D. math->pi

26 Which modules would you most likely eed if you eeded to simulate rollig dice ad do data aalytics? A. math B. radom C. padas D. padas ad math E. padas ad radom

27 Write a fuctio that sums up all the egative umbers i a list of umbers

28 write a fuctio That sums up all the umbers i a list of itegers up to but ot icludig the first odd umber

29 Grades to letter Write a fuctio that takes as iput a umber that is uderstood as a score out of 100 ad returs a legth-1 strig cotaiig a letter grade accordig to the covetioal scale: 90 or above is a A, 80 or above is a B, 70 or above is a C, 60 or above is a D, below 60 is F.

30 A BIT MORE ON CONTRACTS

31 It Worked for Hair Dryers Whe you buy a toaster or a hair dryer, how ofte do you have cotact with the maufacturer? How much data does the maufacturer collect? How ofte do you iteract with Google, Amazo, Facebook? Olie cotracts defie a log term, ogoig relatioship with itesive data collectio.