Information Systems and Technologies | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | BST382 | ||||||||
Course Name: | New Generation Programming | ||||||||
Course Semester: | Fall | ||||||||
Course Credits: |
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Language of instruction: | TR | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Department Elective | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Dr.Öğr.Üyesi NURŞEN TOPÇUBAŞI | ||||||||
Course Lecturer(s): |
Dr.Öğr.Üyesi NURŞEN TOPÇUBAŞI |
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Course Assistants: |
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; |
The students who have succeeded in this course;
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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 |
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 |
Learning Outcomes | 1 |
2 |
5 |
3 |
4 |
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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. |
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 |
Expression | |
Lesson | |
Group study and homework | |
Lab | |
Homework | |
Problem Solving |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Homework | |
Application | |
Individual Project |
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 |
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 |