CMSC 132 Object Oriented Programming II Nelson Padua Perez William Pugh Department of Computer Science University of Maryland College Park Course Catalog Description Introduction to use of computers to solve problems using software engineering principles Design build test and debug medium size software systems Learn to use relevant tools Use object oriented methods to create effective and efficient problem solutions Use and implement application programming interfaces APIs Programming done in Java Things You Will Learn Object oriented software development Modern software development techniques Object oriented design Algorithms data structures Lists trees graphs Programming skills Java API IDE testing debugging Why Object Oriented Programming Coding is small part of software development Estimated of time 35 20 30 15 Specification design Coding debugging Testing reviewing fixing Documentation support Object oriented approach makes other parts of software development easier Course Is Not Just About Java May seem to focus on Java All programming in Java Many interesting Java language features Lessons intended to be general Principles should apply to all languages Ways of thinking about design General ideas about software Can translate skills to other languages Assume You Already Know Coding Variables operators loops arrays Basic object oriented programming Classes methods inheritance Java Class libraries exceptions Tools Eclipse IDE debugger Where does 132 fit in CMSC 131 Basic programming skills CMSC 132 Software design basic algorithms CMSC 212 Low level programming CMSC 250 Discrete math logic CMSC 351 Analysis of algorithms Organization Personnel Instructors Nelson Pugh Teaching assistants 3 section leaders 2 graders Classes Lectures Labs Office hours Textbook Required Objects Abstractions Data Structures and Design Using Java By Elliot Koffman and Paul Wolfgang Textbook cont Recommended Java Precisely By Peter Sestoft Projects 8 projects Evaluate design coding testing skills Tries to involve interesting application areas Networking user interfaces data compression Late policy Projects due at 6 pm 20 penalty up to 9am the next morning Plan to complete all projects on time Good faith attempt Must attempt all projects to pass Projects cont Environment Eclipse IDE Automated submission testing Submit server https submit cs umd edu Maintains record of submissions CVS repository May use for research Release testing Can evaluate project using real test cases Grading Based on Projects labs quizzes midterms final Point distribution roughly 40 Projects 20 Lab assignments quizzes 10 Midterm 1 10 Midterm 2 20 Final Exam Available on line https grades cs umd edu Course Bulletin Board Server https forum cs umd edu forumdisplay php f 9 Policy on project postings Can ask about specification setup tools etc Do not ask about design implementation etc Violators may face penalty for academic dishonesty Academic Honesty All individual assignments exams must be done individually except open assignments Do not copy or allow others to copy your work in any way Submissions will be compared to submissions from current and previous semesters Cases of academic dishonesty will be referred to the University s Office of Judicial Programs Visit Student Honor Council website for more detailed explanation of academic dishonesty Excused Absences Students must apply in writing and furnish documentary support for excused absences Support should explicitly indicate the dates or times the student was incapacitated Excused absence does not typically translate into project extensions Students requesting reasonable academic accommodations due to a disability must provide a letter from the Office of Disability Support Services Course Advice Start projects early Ask questions Read book Attend lectures Attend sections Attend office hours Topics Preview Object oriented software development Software life cycle Requirements specifications Designing objects classes Testing code coverage Unified Modeling Language UML Programming paradigms Design patterns Topics Preview Algorithms data structures Asymptotic efficiency Lists stacks queues Trees tries heaps Sets maps graphs Recursion Topics Preview Programming skills Javadoc Junit Java collection framework Exceptions Threads synchronization Java APIs Networking GUIs
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