SE 360 | Course Introduction and Application Information

Course Name
Advances in Software Development
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
SE 360
Fall/Spring
3
0
3
5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives This course provides advanced topics in Java programming language. The course is tailored towards students who have already learned fundamentals of Java Programming. The course starts with a brief recap of classes/objects, methods, encapsulation, input/output, exceptions and the concepts of inheritance, and polymorphism. Graphical user interfaces (GUIs) in Java, the use of layout managers and design of event listener objects are introduced. Advanced topics including serialization, XML and JSON data processing, multi-threading, sockets, and database connectivity are discussed. The students are exposed to Junit testing and debugging. The students are expected to complete a project involving the design and implementation of a fairly complex Java program that consists of a GUI and utilizes at least two of the advanced programming areas.
Course Description The students who succeeded in this course;
  • will be able use Java Collections Framework
  • will be able to develop GUI based programs
  • will be able to develop multi-threaded sockets programs
  • will be able to connect to a database and manipulate data
  • will be able to test programs using Junit and debugger
Course Content This course introduces the students advanced topics in Java programming language.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
X
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Classes and Object Oriented Design, Inheritance, Horstmann, Chapters 2, 7, and 9
2 Abstract Classes, Interfaces, Polymorphism and dynamic binding Horstmann, Chapter 8
3 Event Handling and Exceptions Horstmann, Chapter 10
4 GUI Programming in Swing Horstmann, Chapter 17
5 Java Collections Framework I Horstmann & Cornell, Chapter 13
6 Java Collections Framework II, Generics Horstmann & Cornell, Chapters 12 and 13
7 Streams, serialization and file I/O Hortsmann, Chapter 18
8 MIDTERM EXAM
9 Testing with Junit, Debugging Lecturer Notes
10 Database Connectivity-JDBC Lecturer Notes
11 Sockets and Threads Lecturer Notes
12 XML and JSON data processing Hortsmann, Chapter 22
13 Introduction to design patterns- Iterator, Observer, Composite Lecturer Notes
14 Project Presentation
15 Project Presentation
16 Review of the Semester

 

Course Notes/Textbooks

1)  Big Java, Horstmann, 4th edition, 2010, Wiley, ISBN13: 978-0470553091

2)  Core Java, Volume I Fundamentals, 8/e, Horstmann & Cornell, 2008, Prentice Hall, ISBN10: 0132354764,  ISBN13: 978-0132354769

Suggested Readings/Materials

Java Docs https://docs.oracle.com/javase/10/

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Homework / Assignments
Presentation / Jury
Project
1
40
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
50
Final / Oral Exam
Total

Weighting of Semester Activities on the Final Grade
3
100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
Including exam week: 16 x total hours
16
3
48
Laboratory / Application Hours
Including exam week: 16 x total hours
16
Study Hours Out of Class
15
4
Field Work
Quizzes / Studio Critiques
Homework / Assignments
Presentation / Jury
Project
1
20
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
22
Final / Oral Exam
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems X
2 Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose X
3 Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose X
4 Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice X
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems X
6 Ability to work efficiently in Software Engineering disciplinary and multi-disciplinary teams; ability to work individually X
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9 Awareness of professional and ethical responsibility
10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development
11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Software Engineering solutions

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest