ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
AIN1002 Computer Programming II (C++) Spring 2 2 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Must Course
Course Level: Bachelor
Mode of Delivery: Hybrid
Course Coordinator : Assist. Prof. BİNNUR KURT
Course Objectives: This course provides an introduction to programming language with C++. In addition to, it covers in-depth coverage of object-oriented programming principles and techniques using C++.

Learning Outputs

The students who have succeeded in this course;

Course Content

Topics include classes, overloading, data abstraction, information hiding, encapsulation, inheritance, polymorphism, file processing etc.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Problem Solving & Programming
2) Basic Data Types, Operators, Loops
3) Arrays, Multi-Dimensional Arrays
4) Pointers
5) Functions
6) Introduction to Classes and Objects
7) Classes in Depth, Encapsulation (information hiding)
8) Midterm
9) Destructors, Copy Constructors, Default Member wise Assignment
10) More Details about Classes (const object, member initializer list, friend keyword, etc.) Function Overloading, Operator Overloading
11) Pointers, Dynamic Memory Management, Static Classes
12) Inheritance
13) Polymorphism
14) String Operations and File Operations

Sources

Course Notes: C++ How to Program by Paul Deitel and Harvey Deitel The C++ Programming Language by Bjarne Stroustrup
References: C++ How to Program by Paul Deitel and Harvey Deitel The C++ Programming Language by Bjarne Stroustrup

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory 1 % 15
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes 1 % 15
Homework Assignments % 0
Presentation % 0
Project % 0
Seminar % 0
Midterms 1 % 30
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Laboratory 14 2 28
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 0 0 0
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 1 20 20
Preliminary Jury 0 0 0
Midterms 1 26 26
Paper Submission 0 0 0
Jury 0 0 0
Final 1 36 36
Total Workload 138

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Build up a body of knowledge in mathematics, science and Artificial Intelligence Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. 5
2) Design complex Artificial Intelligence systems, platforms, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
3) Identify, formulate, and solve complex Artificial Intelligence Engineering problems; select and apply proper modeling and analysis methods for this purpose.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in Artificial Intelligence Engineering practice; employ information technologies effectively. 5
5) Design and conduct numerical or physical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Artificial Intelligence Engineering.
6) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions.
7) Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself.
8) Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Artificial Intelligence Engineering applications.
9) Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
10) Acquire knowledge about the effects of practices of Artificial Intelligence Engineering on health, environment, security in universal and social scope, and the contemporary problems of Artificial Intelligence Engineering; is aware of the legal consequences of Mechatronics engineering solutions.
11) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Artificial Intelligence-related problems.