FACULTY OF ENGINEERING

Department of Computer Engineering

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
Mode of Delivery -
Teaching Methods and Techniques of the Course -
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.
Learning Outcomes The students who succeeded in this course;
  • be able use Java Collections Framework,
  • be able to develop GUI based programs,
  • be able to develop multi-threaded sockets programs,
  • be able to connect to a database and manipulate data,
  • be able to test programs using Junit and debugger.
Course Description 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
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
2
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
15
2
30
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
37
37
Seminar / Workshop
0
Oral Exam
0
Midterms
1
15
15
Final Exam
1
20
20
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

X
6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering.

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

 


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