FACULTY OF ENGINEERING

Department of Computer Engineering

SE 375 | Course Introduction and Application Information

Course Name
System Programming
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
SE 375
Fall/Spring
2
2
3
7

Prerequisites
  SE 116 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives The goal of this course is to extend students’ knowledge in systems programming by focusing on practical network and multi threaded programming. Topics such as communication protocols, synchronization primitives, deadlocks, information security, authentication, confidentiality, integrity and digital signing are introduced in this course. The Java programming language will be used throughout the course.All laboratory exercises and assignments will be performed in Java; therefore, to be able to complete this course, a student should have good programming skills in Java.
Learning Outcomes The students who succeeded in this course;
  • be able to explain threading concepts and the advantages and potential problems of threaded programming,
  • be able to design experiments to illustrate advantages obtained from threaded programs,
  • be able to explain the key principles of computer networks and their operation principles and protocols,
  • be able to implement socket programming and multi-threaded networking program,
  • be able to apply security concepts of authentication, confidentiality, integrity and digital signing.
Course Description To acquaint students with basic knowledge to develop systems programs that involves multi-threading and computer networks. It provides an introduction to multi-threading, socket programming and information security.

 



Course Category

Core Courses
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 Instructor Notes
2 Processes, Threads, Concurrency Horstmann & Cornell, Chapter 14, pp. 716-722
3 Thread Programming Constructs Horstmann & Cornell, Chapter 14, pp. 730-735
4 Synchronization, Race Conditions, Deadlocks Horstmann & Cornell, Chapter 14, pp. 736-762
5 Thread-safe Collections, Swing Horstmann & Cornell, Chapter 14, pp. 771-806
6 Networking Basics-Introduction Hortsmann, Chapter 20, pp.818-823
7 Reference Models OSI-TCP/IP Hortsmann, Chapter 20, pp.818-823
8 Network Protocol Basics: IP/TCP/UDP Hortsmann, Chapter 20, pp.818-823
9 Socket Programming Constructs Hortsmann, Chapter 20, pp. 823-842
10 MIDTERM EXAM
11 Security Basics. General overview and definitions of information security. Oaks, Chapter 1
12 Practical information security: authentication, hashing, symmetric and asymmetric encryption and decryption techniques, digital signature. Oaks , Chapters 7,9,11.
13 Security Programming Lecturer Notes
14 LAB EXAM
15 Review of the Semester
16 Review of the Semester

 

Course Notes/Textbooks

1) Core Java, Volume I Fundamentals, 8/e, Horstmann & Cornell, 2008 , Prentice Hall , ISBN10: 0132354764,  ISBN13: 978-0132354769

Suggested Readings/Materials

1)  Big Java, Horstmann, 4th edition, 2010, Wiley, ISBN13: 978-0470553091

2) Java Security, Scott Oaks, 2nd Edition,  2013,O'Reilly Media, ISBN13: 978-0596001575, ISBN10: 0596001576

 

EVALUATION SYSTEM

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

Weighting of Semester Activities on the Final Grade
2
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
16
6
96
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
25
25
Final Exam
1
25
25
    Total
210

 

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.

X
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.

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

 


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