Information Systems and Technologies
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

BST382

Course Name:

New Generation Programming

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	6

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi NURŞEN TOPÇUBAŞI

Course Lecturer(s):

Dr.Öğr.Üyesi NURŞEN TOPÇUBAŞI

Course Assistants:

Course Objective and Content

Course Objectives:

The aim of this course is to teach the program in detail with Python, to teach the engineering problems with numerical methods by writing different programs with Python.

Course Content:

Introduction to Python Programming Language; Looks; Variables; Basic Input-Output; Functions; Escape Sequences; Loops; Error Capture; Condition Structures; Series; Lists; Sheaves; Dictionary Structure; String; tuplestring; tuplefonksiyon on; Functions of Lists and Bundles; Embedded Functions; Advanced Functions, File Operations; File Methods and Properties; Modules; Objects; Embedded Functions; Object Oriented Programming with Advanced Python; Packages, Database Transactions with Python;

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) To explain the basic data types. Developing an algorithm with top-down, gradual improvement process. To recognize structural programming.
2 - Skills
Cognitive - Practical
1) Using logical operators, break and continue program control statements. See how to configure modular programs using small parts called functions. to study math functions.
2) To recognize data visualization processes
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) To explain the mechanisms used to transfer information between functions. Explain how to write and use functions that call them. Using arrays to store, sort, and search value tables and lists.
2) Processing large datasets in Python
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Basic Input-Output; Functions; Escape Sequences
1)	Matrix and graphics operations
2)	Arithmetic, logic and logical operations, Loops
3)	Error Capture
4)	Condition Structures
5)	Series; Lists; Sheaves; Dictionary Structure
6)	String; Tuple String; Tuple Functions
7)	Functions of Lists and Bundles
8)	Midterms
9)	Advanced Functions, File Operations
10)	File Methods and Properties
11)	Modules; Objects
12)	Object-Oriented Programming with Advanced Python
13)	Packages; Database Transactions with Python

Sources

Course Notes / Textbooks:	Python Programming_ An Introduction to Computer Science 3rd Edition, John Zelle, 3rd Ed. ISBN 1590280288, ISBN13: 9781887902991.
References:	- Learning Python, Mark Lutz, Oreilly, USA, 2013 - Intro to Python for Computer Science and Data Science, Paul J. Deitel; Harvey Deitel, Print ISBN: 9780135404676, 0135404673, eText ISBN: 9780135404812, 0135404819, Edition: 1st, Copyright year: 2020, Pearson

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	5	3	4
Program Outcomes
1) Having knowledge and skills in software development for different environments, systems management, network security, data and database management systems.
2) Keeping up-to-date with current issues about new information systems that are the result of rapid change of information technologies.
3) Be aware of the importance of Information Systems' stratagic position in the firm and its role in the creation of new business strategies.
4) To be able to explain the ideas and suggestions that is related to the field of Information Systems as in writing and orally.
5) ability to carry out an independent study on the subjects requiring expertise in the field of Information Systems.

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	Having knowledge and skills in software development for different environments, systems management, network security, data and database management systems.	4
2)	Keeping up-to-date with current issues about new information systems that are the result of rapid change of information technologies.	4
3)	Be aware of the importance of Information Systems' stratagic position in the firm and its role in the creation of new business strategies.	1
4)	To be able to explain the ideas and suggestions that is related to the field of Information Systems as in writing and orally.	1
5)	ability to carry out an independent study on the subjects requiring expertise in the field of Information Systems.	5

Learning Activity and Teaching Methods

Expression
Lesson
Group study and homework
Lab
Homework
Problem Solving

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Individual Project

Assessment & Grading

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

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	42	588
Laboratory	7	7	49
Application	2	4	8
Midterms	1	3	3
Final	1	3	3
Total Workload			651