BST382 New Generation ProgrammingIstanbul Okan UniversityDegree Programs Information Systems and TechnologiesGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
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: TR
Course Requisites:
Does the Course Require Work Experience?: No
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):













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) Possesses theoretical and practical knowledge in the field of information systems and technologies.
2) Identifies, analyzes, and develops solutions to complex information technology problems using appropriate tools.
3) Understands the software development life cycle, effectively uses programming languages, and develops software projects.
4) Designs and manages database systems and performs big data analysis.
5) Is skilled in teamwork, with well-developed project management and communication abilities.
6) Has professional ethical values and a lifelong learning mindset; follows current technologies and engages in continuous self-improvement.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Possesses theoretical and practical knowledge in the field of information systems and technologies. 4
2) Identifies, analyzes, and develops solutions to complex information technology problems using appropriate tools. 4
3) Understands the software development life cycle, effectively uses programming languages, and develops software projects. 1
4) Designs and manages database systems and performs big data analysis. 1
5) Is skilled in teamwork, with well-developed project management and communication abilities. 5
6) Has professional ethical values and a lifelong learning mindset; follows current technologies and engages in continuous self-improvement.

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