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 use 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; Quiz#1; 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; Quiz#2; 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
2
10
Homework / Assignments
2
10
Presentation / Jury
Project
1
20
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
20
Final / Oral Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
16
70
Weighting of End-of-Semester Activities on the Final Grade
1
30
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
Field Work
Quizzes / Studio Critiques
2
5
Homework / Assignments
2
4
Presentation / Jury
Project
1
15
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
10
Final / Oral Exam
1
13
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems X
2 Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose X
3 Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose X
4 Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice X
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems X
6 Ability to work efficiently in Software Engineering disciplinary and multi-disciplinary teams; ability to work individually X
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9 Awareness of professional and ethical responsibility
10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development
11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Software Engineering solutions

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