An integrated, software-based approach to teaching introductory computer programming

ABSTRACT

We have developed a course in scientific and statistical programming consisting of an introduction to computer programming and data analysis concepts using a variety of software packages. This approach addresses the problems inherent in introducing programming to non-computer science majors, particularly those in engineering, the sciences, and the social sciences where computing and statistical data analysis techniques are essential professional tools, as well as to computer science majors with minimal or nonexistent programming backgrounds.Key programming concepts are introduced, including variables and identifiers, absolute versus relative addresses, assignment statements, IF/THEN/ELSE statements, nested and compound IF statements, truth tables, precedence of operations, use of built-in and user-defined functions, dummy variables, passing by value and reference, the importance of order in specifying input to functions, modular program design, subprograms, debugging and testing techniques, properties of good programs, and iterative loops. Elementary statistical concepts and data analyses are covered within a computing environment context that emphasizes data analysis and interpretation of results.Assignments and examples are developed in collaboration with the students' major departments to insure relevance and interest to the students.

REFERENCES

• 1: Jeffrey L. Popyack , Nira Herrmann, Mail merge as a first programming language, ACM SIGCSE Bulletin, v.25 n.1, p.136-140, March 1993
• 2: JL Popyack and N Herrmann. "Using Software to Teach Computer Programming Concepts," MacAdemia "91, University of Pennsylvania, Philadelphia, PA, June 1991.
• 3: N Herrmann and JL Popyack. "A Software-Based Approach to Scientific and Statistical Computing for Science, Social Science, and Engineering Freshmen," Computers Across the Curriculum: A Conference on Technology in the Freshman Year, City University of New York, New York, NY, May 1992.

INDEX TERMS

Primary Classification:
  K. Computing Milieux
  K.3 COMPUTERS AND EDUCATION
      K.3.2 Computer and Information Science Education
          Subjects: Computer science education

Additional Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
  D.3 PROGRAMMING LANGUAGES
      D.3.2 Language Classifications
          Subjects: Macro and assembly languages

  H. Information Systems
  H.4 INFORMATION SYSTEMS APPLICATIONS
      H.4.1 Office Automation
          Subjects: Spreadsheets

  K. Computing Milieux
  K.3 COMPUTERS AND EDUCATION
      K.3.2 Computer and Information Science Education
          Subjects: Curriculum

General Terms:
Human Factors, Languages