Descriptive Analytics (BAN 527)

2020 Fall
Sabancı Business School
Business Analytics(BAN)
3
10
Burak Gökgür bgokgur@sabanciuniv.edu,
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English
Doctoral, Master
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CONTENT

This course aims to provide a review of methods for statistical inference, and develop an understanding of how these tools can be applied in a variety of business problems. The emphasis of this course would be on applications, through practical examples and cases. A variety of statistical software will be introduced. Topics covered include descriptive statistics, probability distributions, hypothesis testing, regression, design of experiments and analysis of varience.

PROGRAMME OUTCOMES


1. Develop and deepen the current and advanced knowledge in the field with original thought and/or research and come up with innovative definitions based on Master's degree qualifications 3

2. Conceive the interdisciplinary interaction which the field is related with ; come up with original solutions by using knowledge requiring proficiency on analysis, synthesis and assessment of new and complex ideas. 5

3. Evaluate and use new information within the field in a systematic approach. 4

4. Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field; research, conceive, design, adapt and implement an original subject. 5

5. Critical analysis, synthesis and evaluation of new and complex ideas. 4

6. Gain advanced level skills in the use of research methods in the field of study. 5

7. Contribute the progression in the field by producing an innovative idea, skill, design and/or practice or by adapting an already known idea, skill, design, and/or practice to a different field independently. 5

8. Broaden the borders of the knowledge in the field by producing or interpreting an original work or publishing at least one scientific paper in the field in national and/or international refereed journals. 1

9. Demonstrate leadership in contexts requiring innovative and interdisciplinary problem solving. 1

10. Develop new ideas and methods in the field by using high level mental processes such as creative and critical thinking, problem solving and decision making. 5

11. Investigate and improve social connections and their conducting norms and manage the actions to change them when necessary. 1

12. Defend original views when exchanging ideas in the field with professionals and communicate effectively by showing competence in the field. 2

13. Ability to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level. 1

14. Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements. 1

15. Demonstrate functional interaction by using strategic decision making processes in solving problems encountered in the field. 4

16. Contribute to the solution finding process regarding social, scientific, cultural and ethical problems in the field and support the development of these values. 1


1. Develop the ability to use critical, analytical, and reflective thinking and reasoning

2. Reflect on social and ethical responsibilities in his/her professional life.

3. Gain experience and confidence in the dissemination of project/research outputs

4. Work responsibly and creatively as an individual or as a member or leader of a team and in multidisciplinary environments.

5. Communicate effectively by oral, written, graphical and technological means and have competency in English.

6. Independently reach and acquire information, and develop appreciation of the need for continuously learning and updating.


1. Design and model engineering systems and processes and solve engineering problems with an innovative approach.

2. Establish experimental setups, conduct experiments and/or simulations.

3. Analytically acquire and interpret data.


1. Develop, interpret and use statistical analyses in decision making.


1. Design and model energy systems and processes that will increase efficiency, decrease costs and reduce environmental impact.

2. Develop a basic understanding of the multidisciplinary aspect of energy area and understand the interactions between technical, economic, social and policy aspects.

3. Develop the scientific and technical fundamentals to understand and communicate the working principles of energy systems such as wind turbines, energy storage and conversion devices, electrical power systems, etc.

4. Apply scientific and engineering principles to energy systems for creating innovative solutions to world's energy related problems such as scarce resources, sustainability, energy efficiency and climate change.

5. Interact with researchers from different disciplines to exchange ideas and identify areas of research collaboration to advance the frontiers of present knowledge and technology; determine relevant solution approaches and apply them by preparing a research strategy.

6. Take part in ambitious and highly challenging research to generate value for both the industry and society.