CEN427 Python Programming

6 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN427
Name Python Programming
Term 2019-2020 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. SERKAN KARTAL
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

Aim of this course is to explain the important and enduring concepts underlying all computer systems, and to show the concrete ways that these ideas affect the correctness, performance, and utility of application programs.

Course Content

This course provides a programmer's view of how computer systems execute programs, store information, and communicate.It enables students to become more effective programmers, especially in terms of performance, portability and robustness. Topics covered include: performance evaluation and optimization, computer arithmetic, memory organization and management, networking technology and protocols, and supporting concurrent computation.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Have a fundamental understanding of the Python programming language.
LO02 Understand how to create your own Python programs.
LO03 Gain the Python Object-Oriented Programming (OOP) skills.
LO04 Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc..


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. 3
PLO02 Bilgi - Kuramsal, Olgusal Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 4
PLO03 Bilgi - Kuramsal, Olgusal Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. 3
PLO04 Bilgi - Kuramsal, Olgusal Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. 3
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. 4
PLO06 Bilgi - Kuramsal, Olgusal Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills.
PLO07 Bilgi - Kuramsal, Olgusal Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
PLO08 Bilgi - Kuramsal, Olgusal Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself. 3
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice.
PLO10 Bilgi - Kuramsal, Olgusal Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
PLO11 Bilgi - Kuramsal, Olgusal Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.


Week Plan

Week Topic Preparation Methods
1 The Basics of Python Reading of course notes
2 Program Flow Control Reading of course notes
3 Abstractions andFunctions Reading of course notes
4 Reading and writing data from a file Reading of course notes
5 Lists, Ranges and Tuples Reading of course notes
6 Dictionaries and Sets Reading of course notes
7 Testing, Debugging, Exceptions, Reading of course notes
8 Mid-Term Exam Reading of course notes
9 Object Oriented Programming in Python Reading of course notes
10 Python Classes and Inheritance Reading of course notes
11 Understanding Program Efficiency Reading of course notes
12 Searching and Sorting Reading of course notes
13 The Python Standard Library Reading of course notes
14 Third-Party Tools Reading of course notes
15 Advanced Topics Reading of course notes
16 Term Exams Reading of course notes
17 Term Exams Reading of course notes


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 29.04.2025 12:47