COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Advanced Programming
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
SE 226
Spring
2
2
3
4
Prerequisites
 SE 115To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives The main objective of this course is to improve programming skills of students in multiple languages. Python and C++ languages will be used. Students will be exposed to commonly used data structures, libraries, methodologies and tools by experiencing them first in theory, then in practical laboratory sessions. Students will prepare a project that meets the requirements by applying methods given in the course.
Learning Outcomes The students who succeeded in this course;
  • develop programs in multiple languages,
  • control the flow in multiple programming languages,
  • construct data structures in multiple languages,
  • define functions in multiple languages,
  • access data resources,
  • build a program that meets requirements using complex methods, structures and data resources.
Course Description
Related Sustainable Development Goals

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Types of Programming Languages
2 Fundamental data types, constants, variables, operators
3 Flow control: selection statements, looping statements
4 Data Structures in C++: Memory operations, pointers, arrays, Linked lists, Stacks
5 Data structures in Python: Lists, Sets, Dictionaries
6 Functions I
7 Functions II
8 Midterm
9 Python Modules
10 Classes and Objects in Python
11 File Handling
12 Database access
13 Building GUI
14 Submission of project materials and project presentations.
15 Semester Review
16 Final exam
Course Notes/Textbooks
  • Python for Everybody: Exploring Data in Python 3, Charles Severance, CreateSpace Independent Publishing Platform, 978-1530051120
  • C++ How to Program, 10/E Deitel & Deitel©2015 ISBN-10: 9780134448237
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weighting
Participation
Laboratory / Application
1
20
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
3
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
14
1
14
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
12
Seminar / Workshop
Oral Exam
Midterms
1
10
Final Exams
1
20
    Total
120

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computer computation, and topics specific to related engineering disciplines; the ability to use this knowledge in solving complex engineering problems

X
2

Problem Analysis: The ability to define, formulate, and analyze complex engineering problems by using fundamental science, mathematics, and engineering knowledge, while considering the relevant UN Sustainable Development Goals (SDGs) related to the problem.

X
3

Engineering Design: The ability to design creative solutions to complex engineering problems; the ability to design complex systems, processes, devices, or products that meet present and future requirements, considering realistic constraints and conditions.

4

Use of Techniques and Tools: The ability to select and use appropriate techniques, resources, and modern engineering and information technology tools, including prediction and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations

X
5

Research and Investigation: The ability to use research methods, including literature review, designing experiments, conducting experiments, collecting data, analyzing and interpreting results, for the investigation of complex engineering problems.

X
6

Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals (SDGs); awareness of the legal consequences of engineering solutions

7

Ethical Behavior: Acting in accordance with the principles of the engineering profession; knowledge of ethical responsibility; awareness of acting impartially and inclusively, without discrimination in any matter. (FENG101)

8

Individual and Team Work: The ability to work effectively as an individual and as a member or leader of both intra-disciplinary and interdisciplinary teams (whether face-to-face, remote, or hybrid).

9

Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession), particularly in technical matters.

10

Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.

11

Lifelong Learning: The ability to learn independently and continuously, adapt to new and emerging technologies, and think critically about technological changes.

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