Data Visualization and Analysis (IE 451)

2021 Fall
Faculty of Engineering and Natural Sciences
Industrial Engineering(IE)
3
6
Kemal Kılıç kkilic@sabanciuniv.edu,
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English
Undergraduate
MATH306
Formal lecture,Interactive lecture
Interactive
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CONTENT

Introduction to styles of data analysis techniques and information visualization; Histograms, stem and leaf diagrams, boxplots, quantile plots; assessing distributional assumptions about data; Plotting high- dimensional data with special emphasis on parallel coordinate plots, scatter matrices, star glyphs, treemaps; Class project with real-world data-set provided by the instructor or developing information visualization software program.

OBJECTIVE

The course will address unsupervised learning, supervised learning, association rule mining and feature subset selection problems and introduce various techniques proposed as solutions and present their implementation particularly in the context of operations management. Data Visualization will also be introduced as part of the curriculum.


Among others, probabilistic and statistical methods, clustering algorithms, classification algorithms, multiple linear regression, a priori algorithm, metaheuristics (such as genetic algorithms, simulated annealing, etc.) in the context of feature subset selection will be covered as part of the toolbox that are widely utilized in data mining.

LEARNING OUTCOMES

  • Apply the basic concepts of existing methodologies for data visualization and analysis, as well as machine learning
  • Model and interpret data, by applying statistics, information visualization, and machine learning techniques.
  • Extract and clean data from diverse domains
  • Explore data through visualizations
  • Conduct challenging technical projects that involve intense data analysis and interpretation.
  • Apply their knowledge on the best-practices in the real world, regarding the application of theory.
  • Work independently, as well as in a team, in completing challenging data analysis projects.

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. 1

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4

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; have the ability to continue to educate him/herself. 5

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

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. 4


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. 4

4. Have the 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. 3

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 4

6. Possess knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 3

7. Possess 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; knowledge of behavior according to ethical principles, understanding of professional and ethical responsibility. 3

8. Have the ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. 3


1. Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 5

2. Demonstrate knowledge of discrete mathematics and data structures. 3

3. Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 5


1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 2

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 2

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 4


1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 5

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 3

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 5


1. Have an understanding of economics and main functional areas of management

2. Have a basic all-around knowledge in humanities, science, mathematics, and literature

3. Have a basic knowledge of law and ethics, awareness of social and ethical responsibilities

4. Work effectively in teams and environments characterized by people of diverse educational, social and cultural backgrounds

5. Demonstrate proficiency in oral and written communications in English

6. Pursue open minded inquiry and appreciate the importance of research as an input into management practice; thus, a.know how to access, interpret and analyze data and information by using current technologies b.use the results from analyses to make informed decisions

7. Use office softwares for written communication, presentation, and data analysis

8. Demonstrate awareness that business settings present different opportunities and challenges for managers due to environmental/contextual differences that arise in economic, political, cultural, legal-regulatory domains

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 30
Midterm 50
Assignment 20

RECOMENDED or REQUIRED READINGS

Readings

Readings are posted to SuCourse