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 Compulsory Departmental Courses
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 Gains sufficient knowledge in subjects specific to mathematics, natural sciences, and engineering disciplines; gains the ability to use theoretical and applied knowledge in these fields to solve complex engineering problems. X
2 Defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose. X
3 Designs a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements; applies modern design methods.
4 Selects and uses modern techniques and tools necessary for analyzing and solving complex problems encountered in engineering applications; gains the ability to use information technologies effectively. X
5 Designs experiments, conducts experiments, collects data, and analyzes and interprets the results for studying complex engineering problems or research topics specific to engineering disciplines.
6 Works effectively in both disciplinary and multidisciplinary teams; gains the ability to work individually.
7 Develops effective oral and written communication skills; acquires proficiency in at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, delivers effective presentations, and gives and receives clear and understandable instructions. X
8 Develops awareness of the necessity of lifelong learning; gains access to information, follows developments in science and technology, and continuously renews oneself. X
9 Acts in accordance with ethical principles, takes professional and ethical responsibility, and possesses knowledge of standards used in engineering applications.
10 Gains knowledge of business practices such as project management, risk management, and change management; develops awareness of entrepreneurship and innovation; possesses knowledge of sustainable development.
11 Gains knowledge of the impacts of engineering applications on health, environment, and safety in universal and societal dimensions, and the issues reflected in contemporary engineering fields; develops awareness of the legal consequences of engineering solutions.
12 Gains the ability to work in both thermal and mechanical systems fields, including the design and implementation of such systems.

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