SE 115 | 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
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.
Course Description 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 Content This course introduces the students to the fundamental concepts of 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 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; Project proposal submission; LAB#5. Deitel Chapters 4 and 5
7 Introduction to class, object and method concepts; HW#1; LAB#6. Deitel Chapter 3
8 Methods Part I: method definition, method call, parameters, arguments, return, static methods, the methods of class Math, local variables, method overloading; LAB#7. Deitel Chapter 6
9 Methods Part II: predefined methods, Java Application Programming Interface (Java API) packages, scope rules, recursion; LAB#8. Deitel Chapters 6 and 18
10 Midterm
11 Arrays Part I: array creation, array initialization, passing arrays to methods, pass-by-value versus pass-by-reference, multidimensional arrays. Deitel Chapter 7
12 Arrays Part II: the methods of class Arrays, collection class ArrayList; HW#2; LAB#9. Deitel Chapter 7
13 Generic collections; LAB#10. Deitel Chapter 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

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
10
10
Field Work
Quizzes / Studio Critiques
Homework / Assignments
2
10
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
35
Total

Weighting of Semester Activities on the Final Grade
14
65
Weighting of End-of-Semester Activities on the Final Grade
1
35
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
Study Hours Out of Class
15
4
Field Work
Quizzes / Studio Critiques
Homework / Assignments
2
4
Presentation / Jury
Project
1
25
Seminar / Workshop
Oral Exam
Midterms
1
10
Final Exam
1
13
    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, Computer Science and Software 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 Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern 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 software 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 Software Engineering problems.

X
6

To be able to work effectively in Software 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 be able to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices and software applications on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Engineering and Software 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 Software Engineering, and to be able to communicate with colleagues in a foreign language.

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 Software Engineering.

X

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