SOFTWARE ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SEN4015	Advanced Programming with Python	Spring	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	E-Learning
Course Coordinator :	Instructor DUYGU ÇAKIR YENİDOĞAN
Course Objectives:	The aim of this course is to familiarize the student with the Python programming language and help the student gain impactful scientific computations using different libraries of Python. This course will build on the students' existing programming knowledge, incorporating further object-oriented design principles and techniques for visualization, web, game or application programming.

Learning Outcomes

The students who have succeeded in this course;
Get familiar with the Python programming language.
Gain the ability to implement object oriented programs with Python.
Understand the data types and structures in Python.
Solve problems with scientific computations.
Visualize the computational results for a better understanding.
Identify the commonly used operations involving file systems and regular expressions.
Articulate the Object-Oriented Programming concepts such as encapsulation, inheritance and polymorphism as used in Python.
Work with JSON and XML objects

Course Content

The contents of this course include basic Python programming as well as arrays, plotting, symbolic computation, scientific algorithms, object oriented programming, threading and random variables. The students will be introduced to popular Python packages like NumPy, Matplotlib, SciPy, and others. They will also be able to parse JSON and XML objects and convert Python to the others.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Orientation -Course Schedule -Expectations
2)	Introduction to Python - What is Python - Brief history and versions - Documentation - Setting up the environment	-Set up your environment
3)	Getting Familiar with Python - Data types - Conditionals
4)	Getting Familiar with Python - Loops - Functions
5)	Getting Familiar with Python - Exception handling - Debugging
6)	Getting Familiar with Python - Built-in functions and modules
7)	Getting Familiar with Python - List, tuples, dictionaries - File operations
8)	Midterm
9)	Getting Familiar with Python - Regular Expressions - Pattern and Match Objects - Regex flags
10)	Getting Familiar with Python - Object Oriented Programming - Method overloading - Static & In-Class methods - Accessing attributes
11)	Advanced Classes - Documenting the class - Encapsulation - Abstract classes - Class decorators
12)	Functional Programming - Lambda function - Passing functions as parameters - Map, Reduce, Filter - Generators - Coroutines
13)	Multi-threading & Multi-processing - Synchronizing threads - Rlocks & Semaphores - Global interpreter - The multiprocessing module
14)	Working with XML & JSON - Parsing XML - Handling unicode - Parsing XML with element tree - the Element and ElemantTree classes - Parsing the JSON object - Converting Python to JSON

Sources

Course Notes / Textbooks:

1) Kent D. Lee, ""Python Programming Fundamentals"", 2nd edition, Springer
2) Tony Gaddis, ""Starting out With Python"", 4th edition, Pearson"

References:

1) Jake VanderPlas, “Python Data Science Handbook: Essential Tools for Working with Data”, 1st Edition, O'Reilly
2) Aurelien Geron, Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems”, 1st Edition,O'Reilly
3) Wesley J Chun, “Core Python Applications Programming”, 3rd Edition, Pearson
4) Miguel Grinberg, “Flask Web Development: Developing Web Applications with Python”, 2nd Edition, O'Reilly"

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	10	% 0
Quizzes	5	% 30
Midterms	1	% 30
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Be able to specify functional and non-functional attributes of software projects, processes and products.
2)	Be able to design software architecture, components, interfaces and subcomponents of a system for complex engineering problems.
3)	Be able to develop a complex software system with in terms of code development, verification, testing and debugging.
4)	Be able to verify software by testing its program behavior through expected results for a complex engineering problem.
5)	Be able to maintain a complex software system due to working environment changes, new user demands and software errors that occur during operation.
6)	Be able to monitor and control changes in the complex software system, to integrate the software with other systems, and to plan and manage new releases systematically.
7)	Be able to identify, evaluate, measure, manage and apply complex software system life cycle processes in software development by working within and interdisciplinary teams.
8)	Be able to use various tools and methods to collect software requirements, design, develop, test and maintain software under realistic constraints and conditions in complex engineering problems.
9)	Be able to define basic quality metrics, apply software life cycle processes, measure software quality, identify quality model characteristics, apply standards and be able to use them to analyze, design, develop, verify and test complex software system.
10)	Be able to gain technical information about other disciplines such as sustainable development that have common boundaries with software engineering such as mathematics, science, computer engineering, industrial engineering, systems engineering, economics, management and be able to create innovative ideas in entrepreneurship activities.
11)	Be able to grasp software engineering culture and concept of ethics and have the basic information of applying them in the software engineering and learn and successfully apply necessary technical skills through professional life.
12)	Be able to write active reports using foreign languages and Turkish, understand written reports, prepare design and production reports, make effective presentations, give clear and understandable instructions.
13)	Be able to have knowledge about the effects of engineering applications on health, environment and security in universal and societal dimensions and the problems of engineering in the era and the legal consequences of engineering solutions.