Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
			//

Course Goals	The aim of the course is to learn and experience programmin in Python programming language as a popular programming language used in almoust about any type of programming with the availability of diverse and reliable libraries.
Prerequisite(s)
Corequisite(s)
Special Requisite(s)
Instructor(s)
Course Assistant(s)
Schedule
Office Hour(s)
Teaching Methods and Techniques
Principle Sources
Other Sources

Course Schedules
Week	Contents	Learning Methods
1. Week	Python Basics	Oral and written presentation.
2. Week	Flow Control	Oral and written presentation.
3. Week	Functions	Oral and written presentation.
4. Week	Lists	Oral and written presentation.
5. Week	Dictionaries and Structuring Data	Oral and written presentation.
6. Week	Manipulating Strings	Oral and written presentation.
7. Week	Pattern Matching with Regular Expressions	Oral and written presentation.
8. Week	Midterm	Midterm.
9. Week	Reading and Writing Files	Oral and written presentation.
10. Week	Organizing Files	Oral and written presentation.
11. Week	Web Scraping	Oral and written presentation.
12. Week	Working with CSV Files and JSON Data	Oral and written presentation.
13. Week	Controlling the Keyboard and Mouse with GUI Automation	Oral and written presentation.
14. Week
15. Week
16. Week
17. Week

Assessments
Evaluation tools	Quantity	Weight(%)
Midterm(s)	1	40
Attendance	1	10
Final Exam	1	50

Program Outcomes PO-1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. PO-2 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. PO-3 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) PO-4 Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively. PO-5 Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems. PO-6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. PO-7 Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language. PO-8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. PO-9 Awareness of professional and ethical responsibility. PO-10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. PO-11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Learning Outcomes LO-1 Having knowledge on the structure and syntax of Python as a programming language LO-2 Having code development experience of Python environment tools LO-3 Having information about the flexibility of Python LO-4 Experienced in selected Python libraries

Course Assessment Matrix:

LO 1
LO 2
LO 3
LO 4
LO 5
LO 6
LO 7
LO 8
LO 9
LO 10
LO 11
LO 12
LO 13
LO 14
LO 15
LO 16
LO 17
LO 18
LO 19
LO 20
LO 21
LO 22
LO 23
LO 24
LO 25
LO 26
LO 27
LO 28
LO 29
LO 30
LO 31
LO 32
LO 33
LO 34
LO 35
LO 36
LO 37
LO 38
LO 39
LO 40
LO 41
LO 42
LO 43
LO 44