FACULTY OF ENGINEERING

Department of Computer Engineering

SE 116 | Course Introduction and Application Information

Course Name
Introduction to Programming II
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
SE 116
Spring
2
2
3
6

Prerequisites
  SE 115 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Group Work
Problem Solving
Application: Experiment / Laboratory / Workshop
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives This course aims to provide the students with general principles underlying the practice of object-oriented programming using Java programming language. In this course, the students will learn the main concepts of object-oriented programming including classes, objects, data members, methods, inheritance, and polymorphism. Object-oriented programming techniques such as implementation of inheritance and polymorphism using abstract classes will also be covered.
Learning Outcomes The students who succeeded in this course;
  • will be able to define classes in Java programming language,
  • will be able to define the features of object-oriented programming languages,
  • will be able to develop programs in Java programming language using objects,
  • will be able to use inheritance technique in class designs with Java programming language,
  • will be able to implement polymorphism concept in Java programming language.
Course Description This course covers the fundamental concepts of object-oriented programming using Java programming language.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Object Oriented Programming, OO Design Principles (Abstraction, Encapsulation, Modularity), Classes Java How to Program, 10/e (Early Objects) Global Edition, Chapters 3 and 8
2 Thinking in Objects Java How to Program, 10/e (Early Objects) Global Edition, Chapters 3 and 8
3 Java Collections Framework Java How to Program, 10/e (Early Objects) Global Edition, Chapter 16
4 Extending Classes (Inheritance), The Object Class, Annotations, Packages, Nested Classes Java How to Program, 10/e (Early Objects) Global Edition, Chapter 9
5 Polymorphism Java How to Program, 10/e (Early Objects) Global Edition, Chapter 10
6 Interfaces and Abstract Classes Java How to Program, 10/e (Early Objects) Global Edition, Chapter 10
7 Exceptions Java How to Program, 10/e (Early Objects) Global Edition, Chapter 11
8 Streams, Buffers, Serialization Java How to Program, 10/e (Early Objects) Global Edition, Chapter 15
9 Text Processing with Regular Expressions Java How to Program, 10/e (Early Objects) Global Edition, Chapter 14
10 Midterm Exam
11 Generic Classes and Methods Java How to Program, 10/e (Early Objects) Global Edition, Chapter 20
12 Best Practices I Effective Java, Third Edition
13 Best Practices II Effective Java, Third Edition
14 Project Presentations
15 Semester Review
16 Final Exam

 

Course Notes/Textbooks Java How to Program, 10/e (Early Objects), Global Edition, Paul Deitel and Harvey Deitel, Pearson, ISBN13: 9781292018195
Suggested Readings/Materials

Effective Java, Third Edition, Joshua Bloch, Addison-Wesley, ISBN13: 978-0134685991

Available Java tutorials on the Web (such as https://www.tutorialspoint.com/java)

Introduction to Programming Using Java, v.7, David J. Eck, http://math.hws.edu/javanotes/

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
10
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
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
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
14
5
70
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
25
25
Seminar / Workshop
0
Oral Exam
0
Midterms
1
9
9
Final Exam
1
12
12
    Total
180

 

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.

6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary 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 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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