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Course Catalog

IF 100 Computational Approaches to Problem Solving 3 Credits
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.

Last Offered Terms Course Name SU Credit
Summer 2018-2019 Computational Approaches to Problem Solving 3
Spring 2018-2019 Computational Approaches to Problem Solving 3
Fall 2018-2019 Computational Approaches to Problem Solving 3
Summer 2017-2018 Computational Approaches to Problem Solving 3
Spring 2017-2018 Computational Approaches to Problem Solving 3
Fall 2017-2018 Computational Approaches to Problem Solving 3

Prerequisite: __
Corequisite: IF 100R
ECTS Credit: 5 ECTS (5 ECTS for students admitted before 2013-14 Academic Year)
General Requirements:
 
IF 100R Computational Approaches to Problem Solving ? Recitation 0 Credit

Last Offered Terms Course Name SU Credit
Summer 2018-2019 Computational Approaches to Problem Solving ? Recitation 0
Spring 2018-2019 Computational Approaches to Problem Solving ? Recitation 0
Fall 2018-2019 Computational Approaches to Problem Solving ? Recitation 0
Summer 2017-2018 Computational Approaches to Problem Solving ? Recitation 0
Spring 2017-2018 Computational Approaches to Problem Solving ? Recitation 0
Fall 2017-2018 Computational Approaches to Problem Solving ? Recitation 0

Prerequisite: __
Corequisite: IF 100
ECTS Credit: NONE ECTS (NONE ECTS for students admitted before 2013-14 Academic Year)
General Requirements:
 
IF 200 Fantasy, Reality, Science and Society 3 Credits
This course aims at making certain that our students can maximally benefit from the rich and diverse accumulation of knowledge at Sabancı University. It is an interfaculty course, supported by our Faculty of Engineering and Natural Sciences, Faculty of Arts and Social Sciences, and Faculty of Management. The contents are modular, such as: 1. Water: Its Physics, Nanophysics, Chemistry, and Geopolitics; 2. Barriers in Istanbul Facing Specially Challenged Persons; 3. Quantum Computing and Time Travel; 4. Jules Verne, Literature, Fantasy, Reality; 5. Economy, Finance, and Your Future Well-Being; 6. Gender and Cultural Rights, Richness in Diversity; 7. Phase Changes, Scale Invariance, Universality, Brain and Memories.

Last Offered Terms Course Name SU Credit
Fall 2016-2017 Fantasy, Reality, Science and Society 3
Spring 2015-2016 Fantasy, Reality, Science and Society 3
Fall 2015-2016 Fantasy, Reality, Science and Society 3
Spring 2014-2015 Fantasy, Reality, Science and Society 3
Fall 2014-2015 Fantasy, Reality, Science and Society 3
Spring 2013-2014 Fantasy, Reality, Science and Society 3

Prerequisite: __
Corequisite: __
ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year)
General Requirements:
 
IF 301 Gender in Science and Technology 3 Credits
Why are there relatively few women scientists in some disciplines? Does gender influence the production of scientific knowledge and its content? What kind of an impact did the entering of women into science and engineering have? What is ?gendered science?? This course aims to investigate these and related questions. It starts by introducing the concept of gender and how science, technology, engineering, mathematics (STEM) and this concept are related to each other in general. It then examines the historical exclusion of women from these fields, their experiences and struggles against it as well as the scientific, technological and socio-economic costs of this exclusion. Finally, it explores the policies and ?best practices? that eliminate gender biases in STEM fields, their affects in the further development of STEM fields and the new areas of research that arose as a result of these efforts.

Last Offered Terms Course Name SU Credit
Fall 2019-2020 Gender in Science and Technology 3
Fall 2018-2019 Gender in Science and Technology 3

Prerequisite: __
Corequisite: __
ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year)
General Requirements:
 
IF 333 Creativity, Innovation and Entrepreneurship 3 Credits
In this course, wide range approaches, techniques and tools that have been developed for the effective management of creativity, innovation and entrepreneurship will be reviewed and discussed in a common framework. Students will develop an entrepreneurial project and have the opportunity to apply these different approaches, techniques and tools in a practical case. The students will learn how human creative processes are organized and what their underlying brain mechanisms are. Some of the topics that will be included in this course are individual differences in creativity, team creativity, visual imagery and creativity, expertise and creativity, development of creativity, creative problem solving (cognitive mechanisms & creative strategies), intelligence and emotional intelligence, brain basis of creativity. This course will also focus on qualitative and quantitative approaches, techniques and tools (e.g.: data visualization, data analyses, focus groups , structured/semi structured interviews, delphi method, brainstorming, mind mapping, kano analysis, fishbone analysis etc.) that provide students with abilities and skills to further scrutinize, test and make decisions about the problems and creative solutions that are developed during the course and for their projects. During the course, various steps of the process of realization of the new ideas and products such as: value creation, identification of target customers/ users, business models, teaming, leadership, finding and acquiring resources, and pitching ideas to resource holders, DMAIC (define, measure, analyze, improve and control) the key performance indicators will also be delivered.

Last Offered Terms Course Name SU Credit
Fall 2017-2018 Creativity, Innovation and Entrepreneurship 3

Prerequisite: __
Corequisite: __
ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year)
General Requirements:
 
IF 401 Energy: Supply Chain, Economics and Geopolitics 3 Credits
We address the production and the consumption of energy, its role in the global economy and the markets, its effect global politics and international relations and the influences reflected onto the consumers. The significance of energy in our daily lives is studied along with an insight into the consumption processes and mechanisms while understanding why and how energy is needed. Production of energy is studied with a technological and physical perspective in order to depict how alternative sources of energy are transformed into usable forms of energy. Principles and mechanisms of energy markets are investigated by positioning energy production as a core economic activity. We address how energy production and consumption drives the energy supply chain and decision making processes of parties in the supply chain. The role of energy on global, regional and local policies and their impact on the environment is investigated with an up-to-date perspective.

Last Offered Terms Course Name SU Credit
Spring 2019-2020 Energy: Supply Chain, Economics and Geopolitics 3
Spring 2018-2019 Energy: Supply Chain, Economics and Geopolitics 3
Spring 2017-2018 Energy: Supply Chain, Economics and Geopolitics 3
Spring 2016-2017 Energy: Supply Chain, Economics and Geopolitics 3

Prerequisite: __
Corequisite: __
ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year)
General Requirements:
 
IF 467 Decision, Psychology and Brain 3 Credits
Many scientific fields such as neuroscience, psychology, operations research, management science have modeled, analyzed, and tried to understand how people make decisions, with various tools, techniques and approaches within their own conventional theoretical frameworks. Recent advances in technology have accelerated brain research, and have given the opportunity to experiment and question the theoretical frameworks related to decision making developed in various disciplines. In this regard, decision making has become of particular interest to scientific fields such as cognitive and behavioral neuroscience, cognitive psychology, computational sociology and neuroeconomics. In this course, the students will learn how to model realistically and consistently the basic elements of decision making, i.e., the value system and objectives , alternatives, uncertainties, and preferences, based on the mathematical frameworks provided by various fields such as economics, operations research, computer sciences, as well as cognitive, physiological, and behavioral neuroscience. In the course, some mathematical tools, techniques and approaches (e.g., decision trees, game theory, mathematical programming, modeling uncertainty and Bayes theorem, Bayesian learning, modeling of preferences and vNM utility theory, entropy, decision tree learning and artificial neural networks) which will provide an analytical framework for decision making an learning will be covered. Aside to these techniques findings from the recently growing fields such as neuroeconomics, behavioral economics and behavioral neuroscience (e.g., prospect theory, conditioning, reinforcement, reward and punishment, expectation of judgment and decision- making, experience and deferral) will also be discussed within the same framework. In the course neural processes and mechanisms of social and individual decision making, behavior and choice (e.g., reward perception, learning types, attention, memory, belief systems, interaction with motor processes, trust, cooperation, alturism, social behavior) will be addressed and supported by neuroethological comparisons.

Last Offered Terms Course Name SU Credit
Spring 2017-2018 Decision, Psychology and Brain 3

Prerequisite: (NS 201 - Undergraduate - Min Grade D)
and (MATH 203 - Undergraduate - Min Grade D)
Corequisite: __
ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year)
General Requirements: