### Computational Approaches to Problem Solving (IF 100)

2020 Fall
Faculty of Engineering and Natural Sciences
Interfaculty Course(IF)
3
5.00 / 5.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Hüsnü Yenigün yenigun@sabanciuniv.edu, İnanç Arın inancarin@sabanciuniv.edu, Duygu Karaoğlan Altop duygukaltop@sabanciuniv.edu,
English
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Formal lecture,Recitation

### CONTENT

The course is an introduction to the key concepts in computational thinking such as algorithmic thinking, abstraction and decomposition. The students will also gain basic programming skills in order to apply computational thinking concepts in practice. Through the lectures, homeworks, and interactive recitations specific to different disciplines, the students will learn how to design algorithms, how to divide a problem into subproblems, and how to build a solution by means of compositions. Evaluation of the solutions in terms of correctness and efficiency will also be covered. In order to enable students apply computational thinking skills in practice, basic programming concepts, such as variables, statements, conditionals, iteration, and functions will be introduced by using a simple programming language such as Python.

### OBJECTIVE

The course is an introduction to the key concepts in computational thinking such as algorithmic thinking, abstraction and decomposition. The students will also gain basic programming skills in order to apply computational thinking concepts in practice.

Through the lectures, homeworks, and interactive recitations specific to different disciplines, the students will learn how to design algorithms, how to divide a problem into subproblems, and how to build a solution by means of compositions. Evaluation of the solutions in terms of correctness and efficiency will also be covered.

In order to enable students apply computational thinking skills in practice, basic programming concepts, such as variables, statements, conditionals, iteration, and functions will be introduced by using a simple programming language such as Python.

### LEARNING OUTCOME

Define and apply computational thinking and its components for problem solving
Understand and use variables, assignments and basic input/output
Understand and use conditional statements
Understand and use loop statements and its importance in abstraction and pattern recognition
Understand and use data types and their methods
Understand and use functions for code modularity and its importance in decomposition and abstraction
Perform simple text file I/O operations

### PROGRAMME OUTCOMES

1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 5

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 5

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 5

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 1

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 3

1. Develop knowledge of theories, concepts, and research methods in humanities and social sciences. 3

2. Assess how global, national and regional developments affect society. 1

3. Know how to access and evaluate data from various sources of information. 1

1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5

4. Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 5

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 3

6. Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 2

7. Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 1

1. Demonstrate an understanding of economics, and main functional areas of management. 1

2. Assess the impact of the economic, social, and political environment from a global, national and regional level. 1

### ASSESSMENT METHODS and CRITERIA

 Percentage (%) Final 33 Exam 34 Assignment 33