COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Introduction to Programming I
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
SE 115
Fall
2
2
3
6
Prerequisites
None
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery Blended
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 will introduce the basic elements of structural programming. Java programming language will be used in code applications. Topics include the concept of type, main types, expressions, standard functions, input/output statements, control structures, selection statements, repetition statements, functions, modularity in programming, global and local variables, dynamic variables, and arrays.
Learning Outcomes The students who succeeded in this course;
  • will be able to define the fundamental concepts in programming,
  • will be able to write, compile and debug programs in Java language,
  • will be able to use control structures (decision and loop statements) in Java codes,
  • will be able to design functions in Java codes,
  • will be able to use arrays in Java codes,
  • will be able to define classes in Java codes.
Course Description This course introduces the students to the fundamental concepts of programming using Java programming language.
Related Sustainable Development Goals

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction Deitel Chapters 1 and 2
2 Variables Deitel Chapter 2
3 Control Deitel Chapters 4 and 5
4 Loop Deitel Chapters 4 and 5
5 Functions Deitel Chapter 6
6 Recursion Deitel Chapter 18
7 Arrays Deitel Chapter 7
8 Midterm 1
9 Introduction to Classes Deitel Chapter 3
10 Text Processing Deitel Chapter 14
11 File I/O Deitel Chapter 15
12 Algorithms Deitel Chapters 4 and 19
13 Exercises
14 Review and Project Presentations
15 Review of the Semester  
16 Review of the Semester  
Course Notes/Textbooks Java How to Program, 10/e (Early Objects), Global Edition, Paul Deitel Harvey Deitel, Pearson, ISBN13: 9781292018195
Suggested Readings/Materials

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

2. Evan Jones, Adam Marcus, and Eugene Wu. 6.092 Introduction to Programming in Java, January IAP 2010. (Massachusetts Institute of Technology: MIT OpenCourseWare), http://ocw.mit.edu (Accessed). License: Creative Commons BY-NC-SA

3. zyBook Java Early Objects,
Authors:      Roman Lysecky / Professor of Electrical and Computer Engineering / Univ. of Arizona   ;   Adrian Lizarraga / zyBooks / ECE Ph.D., Univ. of Arizona / zyBooks
ISBN: 979-8-203-22747-8

 

EVALUATION SYSTEM

Semester Activities Number Weighting
Participation
Laboratory / Application
1
5
Field Work
Quizzes / Studio Critiques
3
15
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exam
Midterm
1
20
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
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
15
4
60
Field Work
Quizzes / Studio Critiques
3
2
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
25
Seminar / Workshop
Oral Exam
Midterms
1
10
Final Exams
1
15
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computer computation, and topics specific to related engineering disciplines; the ability to use this knowledge in solving complex engineering problems

X
2

Problem Analysis: The ability to define, formulate, and analyze complex engineering problems by using fundamental science, mathematics, and engineering knowledge, while considering the relevant UN Sustainable Development Goals (SDGs) related to the problem.

X
3

Engineering Design: The ability to design creative solutions to complex engineering problems; the ability to design complex systems, processes, devices, or products that meet present and future requirements, considering realistic constraints and conditions.

X
4

Use of Techniques and Tools: The ability to select and use appropriate techniques, resources, and modern engineering and information technology tools, including prediction and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations

X
5

Research and Investigation: The ability to use research methods, including literature review, designing experiments, conducting experiments, collecting data, analyzing and interpreting results, for the investigation of complex engineering problems.

6

Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals (SDGs); awareness of the legal consequences of engineering solutions

X
7

Ethical Behavior: Acting in accordance with the principles of the engineering profession; knowledge of ethical responsibility; awareness of acting impartially and inclusively, without discrimination in any matter. (FENG101)

8

Individual and Team Work: The ability to work effectively as an individual and as a member or leader of both intra-disciplinary and interdisciplinary teams (whether face-to-face, remote, or hybrid).

9

Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession), particularly in technical matters.

10

Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.

11

Lifelong Learning: The ability to learn independently and continuously, adapt to new and emerging technologies, and think critically about technological changes.

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