Object-Oriented Software Development

Course Code:

ACM 413

Course Period:

Autumn

Course Type:

Area Elective

P:

3

Lab:

0

Credits:

3

ECTS:

6

Prerequisite Courses:

Structural Programming

Course Language:

İngilizce

Course Objectives:

This subject introduces the student to the object-oriented programming paradigm, and to the basic concepts of the discipline called "Bottom-up software development". Object-oriented programming in an approach to writing software which is based around the idea of building specific data structures to represent the parts of the problem (and/or the parts of the solution), and then defining how those data structures inter-relate and interact. Software development is the study and practice of a collection of concepts, techniques and tools which enable programmers to design and build, and maintain large software systems in a reliable and cost effective way

Course Content:

Revision of Object Oriented Concepts: Abstraction and Encapsulation, Typing and Inheritance, Polymorphism and Overloading, Genericity and Persistence, Overview of OOP in C++, The Software Development Process, Software Characteristics and Metrics, Object Oriented Design, Templates, libraries, Software Validation, Verification, Debugging, and Testing, Software Maintenance. Enterprise Applications.

Course Methodology:

1: Lecture, 2: Question-Answer, 3: Discussion

Course Evaluation Methods:

A: Testing, C: Homework

Vertical Tabs

Course Learning Outcomes

Learning Outcomes	Teaching Methods	Assessment Methods
1 Understand the fundamental principles underlying Object-Oriented software design in C++ and C#.	1,2,3	A,C
2 Employ formal methods to produce effective software designs as solutions to specific tasks.	1,2,3	A,C
3 Develop structured sets of simple user-defined classes using Object-Oriented principles to achieve overall programming goals.	1,2,3	A,C
4 Develop error identification and testing strategies for code development.	1,2,3	A,C
5 Plan and write assignments, within the specified parameters and to a professional standard..	1,2,3	A,C

Course Flow

Week	Topics	Study Materials
1	Topic 1: Abstraction and Encapsulation Topic 2: Typing and Inheritance	Lecture notes
2	Topic 3: Polymorphism and Overloading Topic 4: Genericity and Persistence	Lecture notes
3	Topic 5: Revision of C Fundamentals Topic 6: Overview of C++ Non-OO Features	Lecture notes
4	Topic 7: C++ Classes Topic 8: C++ Functions	Lecture notes
5	Topic 9: C++ Inheritance Topic 10: C++ Polymorphism	Lecture notes
6	Topic 11: Revision of OO Concepts Topic 12: Revision of C++	Lecture notes
7	MIDTERM	Lecture notes
8	Topic 13: The Software Development Process Topic 14: Software Characteristics and Metrics	Lecture notes
9	Topic 15: Object-oriented Design I Topic 16: Object-oriented Design II	Lecture notes
10	Topic 17: The UML Notation Topic 18: Design Patterns	Lecture notes
11	Topic 19: C++ Operator Overloading Topic 20: C++ Templates	Lecture notes
12	Topic 21: C++ Exceptions Topic 22: The C++ Standard Library	Lecture notes
13	Topic 23: A Case Study (The C++ iostream Classes) Topic 24: Software Validation, Verification, Debugging, and Testing	Lecture notes
14	Topic 25: Software Maintenance and Re-engineering Topic 26: Revision	Lecture notes
15	Review and Midterm

Recommended Sources

Textbook

Lippman, S. & Lajoie, J., "C++ Primer, 3rd Edition", Addison Wesley, 1998.

Stroustrup, B., "The C++ Programming Language, 3rd Ed.", Addison Wesley, 1997.

Fowler, M. (with Kendall Scott), "UML Distilled", 2nd Ed., Addison Wesley, 2000.

Additional Resources

Assessment

IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-terms	1	60
Quizzes	1	20
Homework	1	20
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		60
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		40
Total		100

COURSE CATEGORY

Expertise/Field Courses

Course’s Contribution to Program

No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	Information Systems graduates have the knowledge and the skills to design and develop the complete systems for multi-media visual user interface.	X
2	Information Systems graduates have advanced the knowledge and skills to design, develop and install the application systems for multi-media.		X
3	Information Systems graduates have the knowledge and the skills to design, develop and apply algorithms and data structures to solve the basic problems of information processing, within the framework of discrete mathematics.					X
4	Information Systems graduates have the knowledge and the skills to design and develop computer applications, based on user specificed requirements, using modern structured development tools and install them on various hardware platforms and deploy their usage.					X
5	Information Systems graduates have the knowledge and the skills to design and develop computer applications, based on user specificed requirements, using modern object-oriented development tools and install them on various hardware platforms and deploy their usage.					X
6	Information Systems graduates know the logic of computer operating systems, the basic set of system commands, how to control access to system resources by users of different departments and how to monitor the running of jobs in the system.				X
7	Information Systems graduates have the knowledge and the skills to design and develop data models serving different requirements, database applications that would access and process data using various types of software, including queries, reports and business applications.			X
8	Information Systems graduates have the knowledge and the skills to design and develop business applications that would provide data acess, modification and processing for data kept in enterprise database systems.			X
9	Information Systems graduates have the knowledge about computer networks, and have the skills to design, develop and monitor computer networks, how to configure them and how to maintain their performance.	x
10	Information Systems graduates have the knowledge and the skills to design and develop visual user interfaces for the web, web-based applications for n-tier client/server configurations, how to deploy them in enterprises.	x

ECTS

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Including the exam week: 16x Total course hours)	16	4	64
Hours for off-the-classroom study (Pre-study, practice)	16	3	48
Mid-terms	1	10	10
Quiz	1	8	8
Homework	1	10	10
Final examination	1	10	10
Total Work Load			150
Total Work Load / 25 (h)			6
ECTS Credit of the Course			6

None

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