Data Analytics and Optimization (IE 451)

2024 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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Programs\Type Required Core Elective Area Elective
Computer Science and Engineering *
Computer Science and Engineering *
Data Science and Analytics *
Industrial Engineering *
Industrial Engineering (Previous Name: Manufacturing Systems Engineering) *
Management *
Management *
Materials Science and Nano Engineering *
Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) *
Microelectronics *
Telecommunications *

CONTENT

Introduction to data analytics and information visualization; methods and metrics for validation; bias-variance trade- off; data visualization and understanding; data preprocessing; supervised learning (classification and regression); unsupervised learning; association rule mining; feature subset selection; metaheuristics; PCA; ANN and Multilayer Perceptron.

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, fundamental engineering, computational methods 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 while considering the UN Sustainable Development Goals; choose and apply suitable analysis, design, estimation/prediction 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; 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 creative current and future requirements. 3

5. Use research methods, including conducting literature reviews, designing experiments, performing experiments, collecting data, analyzing results, and interpreting results, to investigate complex engineering problems or discipline-specific research topics. 4

6. Possess knowledge of business practices such as project management, risk management, change management, and economic feasibility analysis; awareness on entrepreneurship and innovation. 3

7. Possess knowledge of impact of engineering solutions on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals; awareness on legal outcomes of engineering solutions; awareness of acting impartially and inclusively without any form of discrimination; act in accordance with ethical principles, possessing knowledge of professional and ethical responsibilities. 3

8. Communicate effectively, both orally and in writing, on technical subjects, considering the diverse characteristics of the target audience (such as education, language, and profession). 3

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 45
Midterm 35
Assignment 20

RECOMENDED or REQUIRED READINGS

Readings

Readings are posted to SuCourse