THEORY AND PRACTICE IN COMPUTER SCIENCE EDUCATION

Name: THEORY AND PRACTICE IN COMPUTER SCIENCE EDUCATION
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Rating: 4.9 (275 reviews)

COMPSCI/CURRIC 502

과목 설명

Computer science educational pedagogy and general teaching practices. Practical experience gained through tutoring students. Knowledge of object-oriented programming required.

선수과목

COMPSCI 300 or 302 or declared in Computer Science graduate program

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

3.95

-0.03% 과거 데이터 대비

수료율

100%

0.36% 과거 데이터 대비

A 비율

93.55%

-1.43% 과거 데이터 대비

학급 규모

46.55% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

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유사 과목

GRADUATE COOPERATIVE EDUCATION

COMPSCI 702

Apply computer sciences principles in a hands-on, professional setting.

LEARNING A PROGRAMMING LANGUAGE

COMPSCI 368

For students interested in learning a particular programming language. Focuses on a specific language offered at one of three levels: beginner, intermediate, and advanced. Students may repeat the course if the topic title is different.

PROGRAMMING I

COMPSCI 200

Learn the process of incrementally developing small (200-500 lines) programs along with the fundamental Computer Science topics. These topics include: problem abstraction and decomposition, the edit-compile-run cycle, using variables of primitive and more complex data types, conditional and loop-based flow control, basic testing and debugging techniques, how to define and call functions (methods), and IO processing techniques. Also teaches and reinforces good programming practices including the use of a consistent style, and meaningful documentation. Intended for students who have no prior programming experience.

INTRODUCING COMPUTER SCIENCE TO K-12 STUDENTS

COMPSCI 402

Work in teams to lead Computer Science clubs and workshops for K-12 students at sites in the Madison area. Design and lead activities to help K-12 students learn computational thinking and computer programming.

INTRODUCTION TO THE THEORY AND DESIGN OF PROGRAMMING LANGUAGES

COMPSCI 538

Design and theory of programming languages: procedural, object-oriented, functional and logic paradigms. Serial and concurrent programming. Execution models and formal specification techniques.