CS2013Data

OBJECTIVE

This is a package of scripts and data for analysing a text based on the Body of Knowledge (BOK) of CS2013 [CS2013]. Outputs consist of the rates in 18 Knowledge Area (KA)s of CS2013 followed by the rates in three clusters as shown below.

• HUMAN(C1): [HCI, SP, SE]
• THEORY(C2): [AL, DS, CN, GV, IS]
• IMPLEMENTATION(C3): [AR, SF, OS, PD, IAS, NC, IM, PBD, PL, SDF]
• SOFTWARE IMPLEMENTATION(C3a): [PBD, PL, SDF]
• HARDWARE IMPLEMENTATION(C3b): [AR, SF, OS, PD, IAS, NC, IM]

FILE

• analyze_with_CS2013.pl
  The script to analyse a text. This uses lda-c [LDA] internally.
• final.beta, final.other
  The model obtained by analyzing CS2013. This was extracted by ssLDA [ssLDA] and is used by the lda-c.
• settings.conf
  The parameters used by (ss)LDA.
• ka.csv
  The name of 18 KAs in CS2013 BOK.
• word.csv
  3304 words in CS2013 BOK.
• CS140_result.csv
  CS140 [CSCI140] is a introductory course on algorithm design and analysis techniques. This course is a course exemplar of CS2013 Final Report [CS2013] at p.234.
  This file is obtained by running analyze_with_CS2013.pl with the text extracted from CS140 Web Site (2016-12-13).

PROCEDURE

1. Set up the Perl environment.
2. Install lda-c from https://github.com/blei-lab/lda-c/
3. Place the following files in the lda-c directory.
   analyze_with_CS2013.pl, word.csv, ka.csv, settings.conf, final.beta, final.other
4. Run the following command in the directory.
   ./analyze_with_CS2013.pl textfilename1 [textfilename2 textfilename3 ...]
5. Results are in result.csv.

SAMPLE

1. Get HTML file from CS140 Web site.
   curl http://www.cs.pomona.edu/~tzuyi/Classes/CC2013/Algorithms/index.html > CS140.txt
2. Run analyze_with_CS2013.pl
   ./analyze_with_CS2013.pl CS140.txt
3. Confirm that the course is related to "Algorithms and Complexity (AL)".
   cat result.csv

REFERENCES

[CS2013] The Joint Task Force on Computing Curricula Association for Computing Machinery (ACM) IEEE Computer Society, Computer Science Curricula 2013 Curriculum Guidelines for Undergraduate Degree Programs in Computer Science (2013).

[CSCI140] Tzu-Yi Chen, CSCI 140: Algorithms, Pomona College Claremont, CA 91711, USA, http://www.cs.pomona.edu/~tzuyi/Classes/CC2013/Algorithms/index.html (accessed 2016-12-09).

[LDA] David M. Blei, LDA-C, http://www.cs.princeton.edu/~blei/lda-c/ (accessed 2016-12-09).

[ssLDA] T. Sekiya, Y. Matsuda, and K. Yamaguchi. Curriculum Analysis of CS Departments Based on CS2013 by Simplified, Supervised LDA. LAK’15, Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, pp. 330-339, NY, USA, 2015.

LICENSE

This software (CS2013Data) is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

CS2013Data is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA.

Takayuki Sekiya sekiya[at]ecc.u-tokyo.ac.jp

(C) Copyright 2016, Takayuki Sekiya (sekiya[at]ecc.u-tokyo.ac.jp)