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Code IF 100
Term 201702
Title Computational Approaches to Problem Solving
Faculty Faculty of Engineering and Natural Sciences
Subject Interfaculty Course(IF)
SU Credit 3
ECTS Credit 5.00 / 5.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Duygu Karao?lan Altop duygukaltop@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
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Mode of Delivery Formal lecture,Recitation
Planned Learning Activities Interactive,Learner centered,Task based learning
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 computational thinking
Define components of computational thinking for problem solving
Apply components of computational thinking for problem solving
Write small Python programs
Understand the basic programming concepts for control statements
Use the basic programming concepts for control statements
Understand and use functions
Perform simple text file I/O operations
Understand built-in and user-defined data types
Define and use advanced data types

Programme Outcomes
 
Common Outcomes For All Programs
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
Common Outcomes ForFaculty of Arts & Social Sci.
1 Develop a thorough knowledge of theories, concepts, and research methods in the field and apply them in research design and data analysis. 3
2 Assess the impact of the economic, social, and political environment from a global, national and regional level. 1
3 Know how to access written and visual, primary and secondary sources of information, interpret concepts and data from a variety of sources in developing disciplinary and interdisciplinary analyses. 1
Common Outcomes ForFaculty of Eng. & Natural Sci.
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
Common Outcomes ForSchool of Management
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 40
Midterm 30
Exam 20
Homework 10