COURSE INFORMATION
Course Title: ADVANCED OBJECT ORIENTED PROGRAMMING
Code Course Type Regular Semester Theory Practice Lab Credits ECTS
CEN 811 C 99 3 2 0 4 7.5
Language: English
Compulsory/Elective: Elective
Classroom and Meeting Time:
Course Description: -
Course Objectives: This course calls on you to demonstrate: (1) knowledge of object programming techniques, (2) the ability to reason through analysis, evaluation and design of programs, and (3) the ability to effectively apply this knowledge to the construction of such programs. Students will be expected to use the course texts and readings as well as outside references and documentation to supplement lecture material.
COURSE OUTLINE
Week Topics
1 Introduction to Computers, the Internet and the World Wide Web
2 C++ Programming basics
3 Control Statements: Part 1
4 Control Statements: Part 2
5 Methods
6 Arrays
7 Object Oriented Programming
8 Midterm
9 The static structure: classes
10 Object-Oriented Programming: Inheritance
11 Object-Oriented Programming: Polymorphism
12 Strings and Characters
13 Exception Handling
14 Multithreading/Data Structures/Collections
Prerequisite(s): Object Oriented Programming
Textbook:
Other References:
Laboratory Work: Yes
Computer Usage: Yes
Others: No
COURSE LEARNING OUTCOMES
1 Understand the basics of object oriented programming language
2 Understand the concepts of inheritance, encapsulation and polymorphism
3 Understand object-oriented design and GUI programming
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
Doctorate (PhD) in Computer Engineering Program
1 Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.
2 Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations
3 Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.
4 Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.
5 Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.
6 Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.
7 The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.
8 Ability for effective oral and official communication skills in foreign language.
9 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.
10 Engineering graduates with well-structured responsibilities in profession and ethics.
11 Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.
12 Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.
COURSE EVALUATION METHOD
Method Quantity Percentage
Midterm Exam(s)
1
40
Quiz
2
10
Final Exam
1
40
Total Percent: 100%
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 5 80
Hours for off-the-classroom study (Pre-study, practice) 16 5 80
Mid-terms 1 12 12
Assignments 0
Final examination 1 15.5 15.5
Other 0
Total Work Load:
187.5
Total Work Load/25(h):
7.5
ECTS Credit of the Course:
7.5