| Course Objectives: |
Introducing Python programming basics including simple data types, flow control and program design with functions. The course discusses the fundamental principles of Object-Oriented Programming, as well as data and information processing techniques. Students will solve problems, explore real world software development challenges, and create practical and contemporary applications.
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| Course Content: |
1. Introduction
2. String, Input/Output, Branching, Iteration
3.Loop Over String, Guess And Check, Binary, Float & Approximation Method
4.Bisection Search, Decomposition,Abstraction, Function
5. Function As Objects, Lambda Function, Tupels And Lists
6. List, Mutability, Alising, Cloning
7. Lıst Comprehensıon, Functıons As Objects, Testıng, Debuggıng, Exceptıons, Assertıons
8. Dıctıonarıes, Dıctıonarıes
9. Recursıon On Nonnumerıcs, Python Classes
10. More Python Classes Methods, Inherıtance
11. Fıtness Tracker Object Orıented Programmıng Example, Tımıng Programs, Countıng Operatıons
12. Bıg Oh And Theta, Complexıty Classes Examples
13. Sortıng Algorıthms, Plottıng
14. List Access, Hashing, Simulations, And Wrap-Up
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| Week |
Subject |
Related Preparation |
| 1) |
1. Giriş |
Chapter 1, 2.1-2.2: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 2) |
2. String, Input/Output, Branching, Iteration |
Chapter 2.3-2.8: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 3) |
3. Loop Over String, Guess And Check, Binary, Float & Approximation Method
|
Chapter 3.1-3.3: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 4) |
4. Bisection Search, Decomposition,Abstraction, Function |
Chapter 3.4-3.5, 4.1-4.2: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 5) |
5. Function As Objects, Lambda Function, Tupels And Lists |
Chapter 4.3-4.6, 5.1-5.3: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 6) |
6. List, Mutability, Alising, Cloning |
Chapter 5.3-5.5: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 7) |
7. Lıst Comprehensıon, Functıons As Objects, Testıng, Debuggıng, Exceptıons, Assertıons
|
Chapter 4.4 , 8,9 : Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 8) |
8. Dıctıonarıes |
Chapter 5.7, 6.1: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 9) |
9. Recursıon On Nonnumerıcs, Python Classes |
Chapter: 6.2-6.4, 10.1: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 10) |
10. More Python Classes Methods, Inherıtance |
Chapter 10.1-10.2: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 11) |
11. Fıtness Tracker Object Orıented Programmıng Example, Tımıng Programs, Countıng Operatıons |
Chapter:10.4, 11: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 12) |
12. Bıg Oh And Theta, Complexıty Classes Examples |
Chapter 11, 12.1: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 13) |
13. Sortıng Algorıthms, Plottıng |
Chapter 12.2, 13: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| 14) |
14. List Access, Hashing, Simulations, And Wrap-Up |
Chapter 12.3, 17: Introduction to Computation and Programming Using Python with Application to Computational Modeling and Understanding Data, third edition, John V. Guttag |
| |
Program Outcomes |
Level of Contribution |
| 1) |
Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. |
5 |
| 2) |
The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. |
5 |
| 3) |
The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) |
5 |
| 4) |
Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively. |
2 |
| 5) |
Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems. |
|
| 6) |
The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. |
3 |
| 7) |
Effective communication skills in oral and written communication; at least one foreign language knowledge. |
|
| 8) |
Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. |
4 |
| 9) |
Professional and ethical responsibility. |
|
| 10) |
Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development. |
3 |
| 11) |
Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions. |
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ISTANBUL OKAN UNIVERSITY INFORMATION PACKAGE / COURSE CATALOGUE
