Computer Programming (CMPE102) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Computer Programming CMPE102 1. Semester 2 2 0 3 4
Pre-requisite Course(s)
N/A
Course Language English
Course Type Service Courses Taken From Other Departments
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to provide the basics of programming concepts using Python programming language and enable students to gain experience in laboratory environment.
Course Learning Outcomes The students who succeeded in this course;
  • Introduce concepts of programming
  • Gain programming experience in laboratory environment
  • Gain skills in algorithm development for problem solving
Course Content The objective of this course is to provide the basics of programming concepts using Python programming language and enable students to gain experience in laboratory environment.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Computers and Programming Chapter 1
2 Algorithm Development (pseudo code and flowchart) Chapter 2
3 Input, Processing, and Output Chapter 2
4 If and compound statements Chapter 3
5 Nested decision structures Chapter 3
6 Repetition and loop statements: While loop, For loop Chapter 4
7 Repetition and loop statements: Nested loops Chapter 4
8 Lists and Tuples Chapter 7
9 Lists and Tuples Chapter 7
10 Dictionaries Chapter 9
11 Sets Chapter 9
12 Functions Chapter 5
13 Functions Chapter 5
14 Review

Sources

Course Book 1. Tony Gaddis, “Starting Out with Python”, Pearson, 5th Edition, 2019.
Other Sources 2. "Python 3", Onur Sevli, Kodlab, 12.Baskı , 2023.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 2 20
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 30
Toplam 5 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
2 Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
3 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4 Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. X
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. X
7 Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Awareness 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 Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 2 32
Laboratory 12 2 24
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 4 8
Prepration of Final Exams/Final Jury 1 4 4
Total Workload 100