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 -
Teaching Methods and Techniques of the Course Group Work
Problem Solving
Application: Experiment / Laboratory / Workshop
Lecturing / 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 to computing and an overview of Java programming language. Deitel Chapters 1 and 2
2 Introduction to algorithms Part I: algorithm, pseudocode, program code, memory concepts, flow charts and activity diagrams; LAB#1.
3 Introduction to algorithms Part II: examples of simple algorithms, finding sum, finding average, finding minimum, finding maximum, searchig a value, quantity counting, finding second minimum, finding second maximum; LAB#2.
4 Introduction to Java programming: fundamental data types, constants, variables, statements, expressions, operators, input/output statements, Java virtual machine; LAB#3. Deitel Chapter 2
5 Structured program development Part I: Boolean algebra concepts, selection statements, if-else, switch-case; LAB#4. Deitel Chapters 4 and 5
6 Structured program development Part II: repetition statements, for, while, do-while, break, continue; LAB#5. Deitel Chapters 4 and 5
7 Introduction to class, object and method concepts; LAB#6. Deitel Chapter 3
8 Midterm exam.
9 Methods Part I: method definition, method call, parameters, arguments, return, static methods, the methods of class Math, local variables, method overloading. Deitel Chapters 6
10 Methods Part II: predefined methods, Java Application Programming Interface (Java API) packages, scope rules, recursion; LAB#7. Deitel Chapters 6 and 18
11 Arrays Part I: array creation, array initialization, passing arrays to methods, pass-by-value versus pass-by-reference, multidimensional arrays; LAB#8. Deitel Chapter 7
12 Arrays Part II: the methods of class Arrays, collection class ArrayList; LAB#9. Deitel Chapter 7
13 Generic collections; Review of class, object and method concepts; LAB#10. Deitel Chapters 3 and 16
14 Submission of project materials and project presentations.
15 Review.
16 -
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 Weigthing
Participation
Laboratory / Application
1
10
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exam
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
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
14
5
70
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
25
Seminar / Workshop
Oral Exam
Midterms
1
10
Final Exams
1
11
    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.

X
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)

X
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.

X

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