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1

Shiflet, Angela B. "Computer science with the sciences." ACM SIGCSE Bulletin 34, no. 4 (2002): 40–43. http://dx.doi.org/10.1145/820127.820162.

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2

Chu, Yul, and Jin Hwan Park. "An Effective Model for Computer System Building Projects in Computer Engineering and Computer Science." International Journal of Information and Education Technology 5, no. 6 (2015): 432–36. http://dx.doi.org/10.7763/ijiet.2015.v5.544.

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3

Fagan, Jody Condit, and David J. Gaines. "EBSCO Computers and Applied Sciences Complete and ProQuest Computer Science Collection." Charleston Advisor 13, no. 1 (2011): 14–17. http://dx.doi.org/10.5260/chara.13.1.14.

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4

Barron, D. W. "Two cultures: computer science and personal computers." Endeavour 13, no. 1 (1989): 25–28. http://dx.doi.org/10.1016/0160-9327(89)90047-1.

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5

Kadijevich, Djordje. "Gender Differences in Computer Attitude among Ninth-Grade Students." Journal of Educational Computing Research 22, no. 2 (2000): 145–54. http://dx.doi.org/10.2190/k4u2-pwqg-re8l-uv90.

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A study of fifty-four female and fifty-nine male Gymnasium (high school) students from four ninth-grade classes oriented toward natural sciences and mathematics surveyed students' attitudes toward computers in relation to gender and computer experience and found that males showed a more positive attitude toward computers than females, even when computer experience was controlled. An additional study of fifty-one females and fifty-four males from the initial sample found that males did show more interest in computer science than females, but these differences could not explain gender differences in computer attitude.
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6

Vaughan, Christopher. "Computer Science." Science News 134, no. 10 (1988): 156. http://dx.doi.org/10.2307/3972976.

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7

Cupper, Robert D. "Computer science." ACM SIGCSE Bulletin 30, no. 1 (1998): 25–29. http://dx.doi.org/10.1145/274790.273151.

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8

French, C. "Computer Science." Computer Journal 35, no. 4 (1992): 404. http://dx.doi.org/10.1093/comjnl/35.4.404.

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9

Cohen, Avi, and Bruria Haberman. "Computer science." ACM SIGCSE Bulletin 39, no. 4 (2007): 65–69. http://dx.doi.org/10.1145/1345375.1345417.

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10

Lazowska, Ed. "Computer science." ACM SIGCSE Bulletin 40, no. 1 (2008): 549. http://dx.doi.org/10.1145/1352322.1352321.

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11

Hopcroft, John E. "Computer science." Communications of the ACM 30, no. 3 (1987): 198–202. http://dx.doi.org/10.1145/214748.214750.

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12

Marchal, Bruno. "Theoretical computer science and the natural sciences." Physics of Life Reviews 2, no. 4 (2005): 251–89. http://dx.doi.org/10.1016/j.plrev.2005.07.001.

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13

Ismail, Lizah. "Computer Science and Applied Sciences Complete (EBSCOhost)." Charleston Advisor 20, no. 1 (2018): 33–34. http://dx.doi.org/10.5260/chara.20.1.33.

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14

Stewart, N. F. "Science and computer science." ACM Computing Surveys 27, no. 1 (1995): 39–41. http://dx.doi.org/10.1145/214037.214088.

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15

Shneiderman, B. "COMPUTER SCIENCE: Science 2.0." Science 319, no. 5868 (2008): 1349–50. http://dx.doi.org/10.1126/science.1153539.

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16

Denning, Peter J. "Is computer science science?" Communications of the ACM 48, no. 4 (2005): 27–31. http://dx.doi.org/10.1145/1053291.1053309.

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17

Chubarikov, Vladimir Nikolaevich, Nikolai Nikolaevich Dobrovol’skii, Irina Yurievna Rebrova, and Nikolai Mihailovich Dobrovol’skii. "Computer science, computer, computational complexity." Chebyshevskii sbornik 22, no. 1 (2021): 520–36. http://dx.doi.org/10.22405/2226-8383-2021-22-1-520-536.

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18

Matshonisa Seeletse, Solly, Tsakani Violet Ndobe, Tichavasia Alex Dandadzi, and Taurai Hungwe. "Crowdsourcing benefits in postgraduate project supervision: Sefako Makgatho Health Sciences University statistics and computer science case study." Environmental Economics 7, no. 2 (2016): 122–29. http://dx.doi.org/10.21511/ee.07(2).2016.13.

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The paper reports on the findings made on an experiential exercise of Bachelor of Science Honours in Statistics (BSc Hons Stat) in the Department of Statistics and Operations Research (SOR) of the Sefako Makgatho Health Sciences University (SMU) in South Africa. SOR is a small, understaffed department, which offers courses for degrees from Bachelor to Doctoral levels in the subfields of Artificial Intelligence, Data Mining, Operations Research, Statistics and related ones. On SMU campus, expertize in some of these fields is also available in the Department of Computer Science (DCS). In the 2015 academic year SOR admitted 20 BSc Hons Stat students beyond its staffing capacity. Then, SOR invited DCS in a crowdsourcing initiative to jointly supervise student projects in the various subfields mentioned. The challenges include conflict and limited experience. These are managed satisfactorily though, but mainly because they occur at low levels. This crowdsourcing arrangement nevertheless results in timely submissions of final projects, improved quality projects worthy of being published, innovation, quality teamwork, and some synergistic outcomes. Coordinators also learn and/or improved some project management skills
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19

Iswahyuni, Iswahyuni. "COMPUTER SCIENCE STUDENTS’ ATTITUDES TOWARDS ENGLISH LANGUAGE LEARNING." Education of English as a Foreign Language 1, no. 2 (2018): 43–53. http://dx.doi.org/10.21776/ub.educafl.2018.001.02.05.

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20

KORDAKI, Maria, and Ioannis BERDOUSIS. "IDENTIFYING BARRIERS FOR WOMEN PARTICIPATION IN COMPUTER SCIENCE." Pro Edu. International Journal of Educational Sciences 2, no. 2 (2020): 5–20. http://dx.doi.org/10.26520/peijes.2020.2.2.5-20.

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21

Mączka, Janusz, and Adam Olszewski. "The Question of the Boundaries of Computer Science." Seminare. Poszukiwania naukowe 2020(41), no. 4 (2020): 45–57. http://dx.doi.org/10.21852/sem.2020.4.04.

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W pracy postawiona zostaje teza dotycząca granic informatyki w nawiązaniu do pewnej pracy Stewarda C. Shapiro. Podaje się argument za tym, że owe granice są określone przez własności umysłu w świecie rzeczywistym. Teza Churcha jest właśnie tym czynnikiem, który wyznacza i specyfikuje owe granice. Potem rozważane są pewne zagadnienia związane z rozumieniem tezy Churcha jak: podział jej sformułowań na warianty i wersje. Następnie, co jest głównym tematem pracy, przedyskutowane są relacje zachodzące pomiędzy klasami funkcji rekurencyjnych, algorytmów, maszyn i programów komputerowych. W tym kontekście podany jest także komentarz na temat rozumienia terminu ‘effectively’.
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22

Stevenson, D. E. "Science, computational science, and computer science." Communications of the ACM 37, no. 12 (1994): 85–96. http://dx.doi.org/10.1145/198366.198386.

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23

Stacewicz, Paweł. "From Computer Science to the Informational Worldview. Philosophical Interpretations of Some Computer Science Concepts." Foundations of Computing and Decision Sciences 44, no. 1 (2019): 27–43. http://dx.doi.org/10.2478/fcds-2019-0003.

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AbstractIn this article I defend the thesis that modern computer science has a significant philosophical potential, which is expressed in a form of worldview, called here informational worldview (IVW). It includes such theses like: a) each being contains a certain informational content (which may be revealed by computer science concepts, such as code or algorithm), b) the mind is an information processing system (which should be modeled by means of data processing systems), c) cognition is a type of computation. These (pre)philosophical theses are accepted in many sciences (e.g. in cognitive science), and this is both an expression and strengthening of the IWV. After a general discussion of the relations between philosophy, particular sciences and the worldview, and then the presentation of the basic assumptions and theses of the IWV, I analyze a certain specification of thesis b) expressed in the statement that “the mind is the Turing machine”. I distinguish three concepts of mind (static, variable and minimal) and explain how each of them is connected with the concept of the Turing machine.
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24

Kalia, Lipika Priyadarshini. "Computer Science is Cognitive Science." Advanced Science Letters 22, no. 2 (2016): 538–39. http://dx.doi.org/10.1166/asl.2016.6851.

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25

Kumar, Deepak. "Data science overtakes computer science?" ACM Inroads 3, no. 3 (2012): 18–19. http://dx.doi.org/10.1145/2339055.2339060.

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26

Denning, Peter J. "The science in computer science." Communications of the ACM 56, no. 5 (2013): 35–38. http://dx.doi.org/10.1145/2447976.2447988.

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27

Frenkel, Karen A. "Computer Science meets environmental science." Communications of the ACM 52, no. 9 (2009): 23. http://dx.doi.org/10.1145/1562164.1562174.

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28

Snow, Steven G., and James Hearne. "Computer Science With Political Science." Social Science Computer Review 15, no. 3 (1997): 288–91. http://dx.doi.org/10.1177/089443939701500306.

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29

Ploeger, Lennert S. "Computer Science Meets Medical Science." Analytical Cellular Pathology 28, no. 3 (2006): 69–70. http://dx.doi.org/10.1155/2006/312128.

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30

Bell, Tim. "Ubiquity symposium: The science in computer science: unplugging computer science to find the science." Ubiquity 2014, March (2014): 1–6. http://dx.doi.org/10.1145/2590528.2590531.

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31

Orwant, Carol J. "Computer ethics—part of computer science!" ACM SIGCAS Computers and Society 21, no. 2-4 (1991): 40–45. http://dx.doi.org/10.1145/122652.122659.

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32

Addison, Paul. "Teaching computer science without a computer." ACM SIGCSE Bulletin 29, no. 4 (1997): 30–33. http://dx.doi.org/10.1145/271125.271149.

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33

Lister, Raymond. "Computer Science Education." Computer Science Education 18, no. 2 (2008): 65–66. http://dx.doi.org/10.1080/08993400802172449.

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34

Crouch, Donald B., and Leslie Schwartzman. "Computer science accreditation." ACM SIGCSE Bulletin 35, no. 1 (2003): 36–40. http://dx.doi.org/10.1145/792548.611927.

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35

Magrass, Yale. "Computer science curriculum." ACM SIGCSE Bulletin 17, no. 4 (1985): 59–64. http://dx.doi.org/10.1145/989369.989378.

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36

McGuffee, James W. "Defining computer science." ACM SIGCSE Bulletin 32, no. 2 (2000): 74–76. http://dx.doi.org/10.1145/355354.355379.

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37

West, Dave. "Hermeneutic computer science." Communications of the ACM 40, no. 4 (1997): 115–16. http://dx.doi.org/10.1145/248448.248467.

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38

Allan, V. H., and M. V. Kolesar. "Teaching computer science." ACM SIGCUE Outlook 25, no. 1-2 (1997): 2–10. http://dx.doi.org/10.1145/274375.274376.

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39

DeReamer, Sharon. "Teaching computer science." ACM SIGSOFT Software Engineering Notes 35, no. 1 (2010): 31–34. http://dx.doi.org/10.1145/1668862.1668880.

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40

Kearse, Iretta B., and Charles R. Hardnett. "Computer science olympiad." ACM SIGCSE Bulletin 40, no. 1 (2008): 92–96. http://dx.doi.org/10.1145/1352322.1352167.

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41

Gagliano, Ross. "Computer science reconsidered." Ubiquity 2007, August (2007): 1. http://dx.doi.org/10.1145/1295229.1295288.

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42

Astrachan, Owen, and R. Brook Osborne. "Computer Science principles." ACM SIGCSE Bulletin 44, no. 4 (2012): 4. http://dx.doi.org/10.1145/2398328.2398330.

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43

Cerf, Vinton G. "Computer science revisited." Communications of the ACM 55, no. 12 (2012): 7. http://dx.doi.org/10.1145/2380656.2380658.

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44

Lanzagorta, Marco, and Jeffrey Uhlmann. "Quantum Computer Science." Synthesis Lectures on Quantum Computing 1, no. 1 (2008): 1–124. http://dx.doi.org/10.2200/s00159ed1v01y200810qmc002.

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45

Daniels, Mats, Judith Gal-Ezer, Ian Sanders, and G. Joy Teague. "Teaching computer science." ACM SIGCSE Bulletin 28, no. 1 (1996): 102–6. http://dx.doi.org/10.1145/236462.236518.

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46

Denning, Peter J., and Andrew McGettrick. "Recentering computer science." Communications of the ACM 48, no. 11 (2005): 15–19. http://dx.doi.org/10.1145/1096000.1096018.

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47

Rosenberger, Jack. "Computer science awards." Communications of the ACM 55, no. 3 (2012): 23. http://dx.doi.org/10.1145/2093548.2093557.

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48

GRIES, D., R. MILLER, R. RITCHIE, and P. YOUNG. "Computer Science Funding." Science 230, no. 4722 (1985): 120. http://dx.doi.org/10.1126/science.230.4722.120-a.

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49

Freeman, Peter A. "Effective computer science." ACM Computing Surveys 27, no. 1 (1995): 27–29. http://dx.doi.org/10.1145/214037.214048.

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50

Rieffel, Eleanor. "Quantum computer science." ACM SIGACT News 41, no. 3 (2010): 39–44. http://dx.doi.org/10.1145/1855118.1855127.

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