This course is a continuation of algorithmic problem solving. introducing more advanced methods, particularly objectoriented design. Topics include procedural abstraction, userdefined static, dynamic and generic data types, linked structures, sorting and searching, event-driven programming and recursion.

Topics include procedural abstraction, user defined static dynamic and generic data types, linked structures, sorting and searching, event driven programming and recursion. Abstract data types, inheritance and polymorphism are examined in detail. Principles of rigorous programming practice and software development are emphasized. Learning Outcomes.

In this course, students will be introduced to formal languages and mathematical models of computation. The topics of finite state and pushdown automata, regular expressions, and context-free grammars will be covered, along with applications such as text processing and parsing.

CSCI 272: Object-Oriented Programming. Notebooks. Introduction to Object-Oriented Programing; Classes; Classes: Advanced; Operators; Stream I/O; Inheritance; Polymorphism; …

CSCI 272 at John Jay College of Criminal Justice (CUNY) (John Jay) in New York, New York. This course is a continuation of algorithmic problem solving introducing more advanced methods, particularly object-oriented design.

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Repository for all the work done for CSCI 272. Contribute to Eterxy/JJCUNY-CSCI-272 development by creating an account on GitHub.

2024年4月12日 · Last day to drop: Wednesday, January 17, 2024. Last day to add: Friday, January 19, 2024. Last day to withdraw (with ‘W’): Wednesday, February 28, 2024. Last day of classes: Friday, April 19, 2024. The following schedule of topics is subject to change. Jan 8 Teams session. Jan 10 Teams sessions – one, two. Jan 12 Teams session.

Section Name: MCSCI-272-0958 Units: 3 Pre-Requisites: Satisfactory completion of CSCI 271 (CMPSC 205). Course Description: CSCI 272-PROBLEM SOLVING AND PROGRAMMING 2, 3 UNITS Formerly listed as: CMPSC - 261: Problem Solving and Programming 2 27 Lecture Hours, 81 Lab Hours, 54 Out-of-Class Hours, Total Student Learning Hours=162

This course is a continuation of algorithmic problem solving. introducing more advanced methods, particularly objectoriented design. Topics include procedural abstraction, userdefined static, dynamic and generic data types, linked structures, sorting and searching, event-driven programming and recursion.