FACULTY OF ENGINEERING

Department of Industrial 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
Service Course
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
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 Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

X
4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

X
6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

X
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 contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

X
9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

X
10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

X
11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

X
12

To be able to speak a second foreign 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 Industrial Engineering.

X

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

 


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