SEN1002 Object Oriented Programming (Java)Bahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
SEN1002 Object Oriented Programming (Java) Spring 2 2 3 5
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Instructor DUYGU ÇAKIR YENİDOĞAN
Course Lecturer(s): Dr. Öğr. Üyesi TAMER UÇAR
Instructor DUYGU ÇAKIR YENİDOĞAN
RA MERVE ARITÜRK
RA SEVGİ CANPOLAT
Recommended Optional Program Components: None
Course Objectives: The aim of this course is to intoduce the Java language and object oriented programming techniques to the students. The main topics covered in this course are inheritance and polymorphism, gui interfaces, exception handling, file operations, recursive methods, search and sorting algorithms and generic types.

Learning Outcomes

The students who have succeeded in this course;
1. Develops the inheritance technique in class design.
2. Applies the concept of polymorphism
3. Create graphical user interface components and control events.
4. Develop programs with exception handling.
5. Define the String class and regular expressions.
6. Develops programs that write and read text and serialized objects files.
7. Builds and implements Enum types.
8. Create recursive methods.
9. Define sorting and search algorithms.

Course Content

1. Inheritance
2. Polymorphism
3. GUI interface design
4. String operations and regular expressions
5. Exception handling
6. File operations
7. Using Enumeration
8. Recursive methods
9. Search and sort algorithms
10. Generic types

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Classes and Objects
2) Inheritance
3) Polymorphism
4) Polymorphism
5) GUI Components
6) GUI and Event-driven Programming
7) Case Study: Object Oriented Design with the UML
8) Strings, Characters and Regular Expressions
9) Exception Handling
11) Files and Streams, object serialization
12) Recursion
13) Searching, Sorting (Selection Sort, Merge, Insertion Sort)
14) Generic Classes and Methods

Sources

Course Notes / Textbooks: Paul Deitel, Harvey Deitel, Java: How to Program, Pearson, ISBN-10: 0132575663
References: C. Thomas Wu, An Introduction to Object Oriented Programming with Java, McGraw Hill.

Y. Daniel Liang, Introduction to Java Programming, Comprehensive, Pearson.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 2 % 30
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Laboratory 14 2 28
Study Hours Out of Class 14 3 42
Quizzes 2 2 4
Midterms 1 12 12
Final 1 15 15
Total Workload 129

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.